EDA LA1
df=read.csv('world-happiness-report.csv')
head(df)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 2 Afghanistan 2009 4.402 7.540 0.552
## 3 Afghanistan 2010 4.758 7.647 0.539
## 4 Afghanistan 2011 3.832 7.620 0.521
## 5 Afghanistan 2012 3.783 7.705 0.521
## 6 Afghanistan 2013 3.572 7.725 0.484
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 2 51.20 0.679 0.190
## 3 51.60 0.600 0.121
## 4 51.92 0.496 0.162
## 5 52.24 0.531 0.236
## 6 52.56 0.578 0.061
## Perceptions.of.corruption Positive.affect Negative.affect
## 1 0.882 0.518 0.258
## 2 0.850 0.584 0.237
## 3 0.707 0.618 0.275
## 4 0.731 0.611 0.267
## 5 0.776 0.710 0.268
## 6 0.823 0.621 0.273head(df,n=10)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 2 Afghanistan 2009 4.402 7.540 0.552
## 3 Afghanistan 2010 4.758 7.647 0.539
## 4 Afghanistan 2011 3.832 7.620 0.521
## 5 Afghanistan 2012 3.783 7.705 0.521
## 6 Afghanistan 2013 3.572 7.725 0.484
## 7 Afghanistan 2014 3.131 7.718 0.526
## 8 Afghanistan 2015 3.983 7.702 0.529
## 9 Afghanistan 2016 4.220 7.697 0.559
## 10 Afghanistan 2017 2.662 7.697 0.491
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 2 51.20 0.679 0.190
## 3 51.60 0.600 0.121
## 4 51.92 0.496 0.162
## 5 52.24 0.531 0.236
## 6 52.56 0.578 0.061
## 7 52.88 0.509 0.104
## 8 53.20 0.389 0.080
## 9 53.00 0.523 0.042
## 10 52.80 0.427 -0.121
## Perceptions.of.corruption Positive.affect Negative.affect
## 1 0.882 0.518 0.258
## 2 0.850 0.584 0.237
## 3 0.707 0.618 0.275
## 4 0.731 0.611 0.267
## 5 0.776 0.710 0.268
## 6 0.823 0.621 0.273
## 7 0.871 0.532 0.375
## 8 0.881 0.554 0.339
## 9 0.793 0.565 0.348
## 10 0.954 0.496 0.371tail(df)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1944 Zimbabwe 2015 3.703 7.992 0.736
## 1945 Zimbabwe 2016 3.735 7.984 0.768
## 1946 Zimbabwe 2017 3.638 8.016 0.754
## 1947 Zimbabwe 2018 3.616 8.049 0.775
## 1948 Zimbabwe 2019 2.694 7.950 0.759
## 1949 Zimbabwe 2020 3.160 7.829 0.717
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1944 53.8 0.667 -0.123
## 1945 54.4 0.733 -0.095
## 1946 55.0 0.753 -0.098
## 1947 55.6 0.763 -0.068
## 1948 56.2 0.632 -0.064
## 1949 56.8 0.643 -0.009
## Perceptions.of.corruption Positive.affect Negative.affect
## 1944 0.810 0.715 0.179
## 1945 0.724 0.738 0.209
## 1946 0.751 0.806 0.224
## 1947 0.844 0.710 0.212
## 1948 0.831 0.716 0.235
## 1949 0.789 0.703 0.346tail(df,n=10)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1940 Zimbabwe 2011 4.846 7.846 0.865
## 1941 Zimbabwe 2012 4.955 7.983 0.896
## 1942 Zimbabwe 2013 4.690 7.985 0.799
## 1943 Zimbabwe 2014 4.184 7.991 0.766
## 1944 Zimbabwe 2015 3.703 7.992 0.736
## 1945 Zimbabwe 2016 3.735 7.984 0.768
## 1946 Zimbabwe 2017 3.638 8.016 0.754
## 1947 Zimbabwe 2018 3.616 8.049 0.775
## 1948 Zimbabwe 2019 2.694 7.950 0.759
## 1949 Zimbabwe 2020 3.160 7.829 0.717
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1940 48.12 0.633 -0.088
## 1941 49.54 0.470 -0.103
## 1942 50.96 0.576 -0.104
## 1943 52.38 0.642 -0.074
## 1944 53.80 0.667 -0.123
## 1945 54.40 0.733 -0.095
## 1946 55.00 0.753 -0.098
## 1947 55.60 0.763 -0.068
## 1948 56.20 0.632 -0.064
## 1949 56.80 0.643 -0.009
## Perceptions.of.corruption Positive.affect Negative.affect
## 1940 0.830 0.781 0.211
## 1941 0.859 0.669 0.177
## 1942 0.831 0.712 0.182
## 1943 0.820 0.725 0.239
## 1944 0.810 0.715 0.179
## 1945 0.724 0.738 0.209
## 1946 0.751 0.806 0.224
## 1947 0.844 0.710 0.212
## 1948 0.831 0.716 0.235
## 1949 0.789 0.703 0.346summary(df)## ï..Country.name year Life.Ladder Log.GDP.per.capita
## Length:1949 Min. :2005 Min. :2.375 Min. : 6.635
## Class :character 1st Qu.:2010 1st Qu.:4.640 1st Qu.: 8.464
## Mode :character Median :2013 Median :5.386 Median : 9.460
## Mean :2013 Mean :5.467 Mean : 9.368
## 3rd Qu.:2017 3rd Qu.:6.283 3rd Qu.:10.353
## Max. :2020 Max. :8.019 Max. :11.648
## NA's :36
## Social.support Healthy.life.expectancy.at.birth Freedom.to.make.life.choices
## Min. :0.2900 Min. :32.30 Min. :0.2580
## 1st Qu.:0.7498 1st Qu.:58.69 1st Qu.:0.6470
## Median :0.8355 Median :65.20 Median :0.7630
## Mean :0.8126 Mean :63.36 Mean :0.7426
## 3rd Qu.:0.9050 3rd Qu.:68.59 3rd Qu.:0.8560
## Max. :0.9870 Max. :77.10 Max. :0.9850
## NA's :13 NA's :55 NA's :32
## Generosity Perceptions.of.corruption Positive.affect Negative.affect
## Min. :-0.3350 Min. :0.0350 Min. :0.3220 Min. :0.0830
## 1st Qu.:-0.1130 1st Qu.:0.6900 1st Qu.:0.6255 1st Qu.:0.2060
## Median :-0.0255 Median :0.8020 Median :0.7220 Median :0.2580
## Mean : 0.0001 Mean :0.7471 Mean :0.7100 Mean :0.2685
## 3rd Qu.: 0.0910 3rd Qu.:0.8720 3rd Qu.:0.7990 3rd Qu.:0.3200
## Max. : 0.6980 Max. :0.9830 Max. :0.9440 Max. :0.7050
## NA's :89 NA's :110 NA's :22 NA's :16dim(df)## [1] 1949 11dimnames(head(df))## [[1]]
## [1] "1" "2" "3" "4" "5" "6"
##
## [[2]]
## [1] "ï..Country.name" "year"
## [3] "Life.Ladder" "Log.GDP.per.capita"
## [5] "Social.support" "Healthy.life.expectancy.at.birth"
## [7] "Freedom.to.make.life.choices" "Generosity"
## [9] "Perceptions.of.corruption" "Positive.affect"
## [11] "Negative.affect"row(df)## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11]
## [1,] 1 1 1 1 1 1 1 1 1 1 1
## [2,] 2 2 2 2 2 2 2 2 2 2 2
## [3,] 3 3 3 3 3 3 3 3 3 3 3
## [4,] 4 4 4 4 4 4 4 4 4 4 4
## [5,] 5 5 5 5 5 5 5 5 5 5 5
## [6,] 6 6 6 6 6 6 6 6 6 6 6
## [7,] 7 7 7 7 7 7 7 7 7 7 7
## [8,] 8 8 8 8 8 8 8 8 8 8 8
## [9,] 9 9 9 9 9 9 9 9 9 9 9
## [10,] 10 10 10 10 10 10 10 10 10 10 10
## [11,] 11 11 11 11 11 11 11 11 11 11 11
## [12,] 12 12 12 12 12 12 12 12 12 12 12
## [13,] 13 13 13 13 13 13 13 13 13 13 13
## [14,] 14 14 14 14 14 14 14 14 14 14 14
## [15,] 15 15 15 15 15 15 15 15 15 15 15
## [16,] 16 16 16 16 16 16 16 16 16 16 16
## [17,] 17 17 17 17 17 17 17 17 17 17 17
## [18,] 18 18 18 18 18 18 18 18 18 18 18
## [19,] 19 19 19 19 19 19 19 19 19 19 19
## [20,] 20 20 20 20 20 20 20 20 20 20 20
## [21,] 21 21 21 21 21 21 21 21 21 21 21
## [22,] 22 22 22 22 22 22 22 22 22 22 22
## [23,] 23 23 23 23 23 23 23 23 23 23 23
## [24,] 24 24 24 24 24 24 24 24 24 24 24
## [25,] 25 25 25 25 25 25 25 25 25 25 25
## [26,] 26 26 26 26 26 26 26 26 26 26 26
## [27,] 27 27 27 27 27 27 27 27 27 27 27
## [28,] 28 28 28 28 28 28 28 28 28 28 28
## [29,] 29 29 29 29 29 29 29 29 29 29 29
## [30,] 30 30 30 30 30 30 30 30 30 30 30
## [31,] 31 31 31 31 31 31 31 31 31 31 31
## [32,] 32 32 32 32 32 32 32 32 32 32 32
## [33,] 33 33 33 33 33 33 33 33 33 33 33
## [34,] 34 34 34 34 34 34 34 34 34 34 34
## [35,] 35 35 35 35 35 35 35 35 35 35 35
## [36,] 36 36 36 36 36 36 36 36 36 36 36
## [37,] 37 37 37 37 37 37 37 37 37 37 37
## [38,] 38 38 38 38 38 38 38 38 38 38 38
## [39,] 39 39 39 39 39 39 39 39 39 39 39
## [40,] 40 40 40 40 40 40 40 40 40 40 40
## [41,] 41 41 41 41 41 41 41 41 41 41 41
## [42,] 42 42 42 42 42 42 42 42 42 42 42
## [43,] 43 43 43 43 43 43 43 43 43 43 43
## [44,] 44 44 44 44 44 44 44 44 44 44 44
## [45,] 45 45 45 45 45 45 45 45 45 45 45
## [46,] 46 46 46 46 46 46 46 46 46 46 46
## [47,] 47 47 47 47 47 47 47 47 47 47 47
## [48,] 48 48 48 48 48 48 48 48 48 48 48
## [49,] 49 49 49 49 49 49 49 49 49 49 49
## [50,] 50 50 50 50 50 50 50 50 50 50 50
## [51,] 51 51 51 51 51 51 51 51 51 51 51
## [52,] 52 52 52 52 52 52 52 52 52 52 52
## [53,] 53 53 53 53 53 53 53 53 53 53 53
## [54,] 54 54 54 54 54 54 54 54 54 54 54
## [55,] 55 55 55 55 55 55 55 55 55 55 55
## [56,] 56 56 56 56 56 56 56 56 56 56 56
## [57,] 57 57 57 57 57 57 57 57 57 57 57
## [58,] 58 58 58 58 58 58 58 58 58 58 58
## [59,] 59 59 59 59 59 59 59 59 59 59 59
## [60,] 60 60 60 60 60 60 60 60 60 60 60
## [61,] 61 61 61 61 61 61 61 61 61 61 61
## [62,] 62 62 62 62 62 62 62 62 62 62 62
## [63,] 63 63 63 63 63 63 63 63 63 63 63
## [64,] 64 64 64 64 64 64 64 64 64 64 64
## [65,] 65 65 65 65 65 65 65 65 65 65 65
## [66,] 66 66 66 66 66 66 66 66 66 66 66
## [67,] 67 67 67 67 67 67 67 67 67 67 67
## [68,] 68 68 68 68 68 68 68 68 68 68 68
## [69,] 69 69 69 69 69 69 69 69 69 69 69
## [70,] 70 70 70 70 70 70 70 70 70 70 70
## [71,] 71 71 71 71 71 71 71 71 71 71 71
## [72,] 72 72 72 72 72 72 72 72 72 72 72
## [73,] 73 73 73 73 73 73 73 73 73 73 73
## [74,] 74 74 74 74 74 74 74 74 74 74 74
## [75,] 75 75 75 75 75 75 75 75 75 75 75
## [76,] 76 76 76 76 76 76 76 76 76 76 76
## [77,] 77 77 77 77 77 77 77 77 77 77 77
## [78,] 78 78 78 78 78 78 78 78 78 78 78
## [79,] 79 79 79 79 79 79 79 79 79 79 79
## [80,] 80 80 80 80 80 80 80 80 80 80 80
## [81,] 81 81 81 81 81 81 81 81 81 81 81
## [82,] 82 82 82 82 82 82 82 82 82 82 82
## [83,] 83 83 83 83 83 83 83 83 83 83 83
## [84,] 84 84 84 84 84 84 84 84 84 84 84
## [85,] 85 85 85 85 85 85 85 85 85 85 85
## [86,] 86 86 86 86 86 86 86 86 86 86 86
## [87,] 87 87 87 87 87 87 87 87 87 87 87
## [88,] 88 88 88 88 88 88 88 88 88 88 88
## [89,] 89 89 89 89 89 89 89 89 89 89 89
## [90,] 90 90 90 90 90 90 90 90 90 90 90
## [91,] 91 91 91 91 91 91 91 91 91 91 91
## [92,] 92 92 92 92 92 92 92 92 92 92 92
## [93,] 93 93 93 93 93 93 93 93 93 93 93
## [94,] 94 94 94 94 94 94 94 94 94 94 94
## [95,] 95 95 95 95 95 95 95 95 95 95 95
## [96,] 96 96 96 96 96 96 96 96 96 96 96
## [97,] 97 97 97 97 97 97 97 97 97 97 97
## [98,] 98 98 98 98 98 98 98 98 98 98 98
## [99,] 99 99 99 99 99 99 99 99 99 99 99
## [100,] 100 100 100 100 100 100 100 100 100 100 100
## [101,] 101 101 101 101 101 101 101 101 101 101 101
## [102,] 102 102 102 102 102 102 102 102 102 102 102
## [103,] 103 103 103 103 103 103 103 103 103 103 103
## [104,] 104 104 104 104 104 104 104 104 104 104 104
## [105,] 105 105 105 105 105 105 105 105 105 105 105
## [106,] 106 106 106 106 106 106 106 106 106 106 106
## [107,] 107 107 107 107 107 107 107 107 107 107 107
## [108,] 108 108 108 108 108 108 108 108 108 108 108
## [109,] 109 109 109 109 109 109 109 109 109 109 109
## [110,] 110 110 110 110 110 110 110 110 110 110 110
## [111,] 111 111 111 111 111 111 111 111 111 111 111
## [112,] 112 112 112 112 112 112 112 112 112 112 112
## [113,] 113 113 113 113 113 113 113 113 113 113 113
## [114,] 114 114 114 114 114 114 114 114 114 114 114
## [115,] 115 115 115 115 115 115 115 115 115 115 115
## [116,] 116 116 116 116 116 116 116 116 116 116 116
## [117,] 117 117 117 117 117 117 117 117 117 117 117
## [118,] 118 118 118 118 118 118 118 118 118 118 118
## [119,] 119 119 119 119 119 119 119 119 119 119 119
## [120,] 120 120 120 120 120 120 120 120 120 120 120
## [121,] 121 121 121 121 121 121 121 121 121 121 121
## [122,] 122 122 122 122 122 122 122 122 122 122 122
## [123,] 123 123 123 123 123 123 123 123 123 123 123
## [124,] 124 124 124 124 124 124 124 124 124 124 124
## [125,] 125 125 125 125 125 125 125 125 125 125 125
## [126,] 126 126 126 126 126 126 126 126 126 126 126
## [127,] 127 127 127 127 127 127 127 127 127 127 127
## [128,] 128 128 128 128 128 128 128 128 128 128 128
## [129,] 129 129 129 129 129 129 129 129 129 129 129
## [130,] 130 130 130 130 130 130 130 130 130 130 130
## [131,] 131 131 131 131 131 131 131 131 131 131 131
## [132,] 132 132 132 132 132 132 132 132 132 132 132
## [133,] 133 133 133 133 133 133 133 133 133 133 133
## [134,] 134 134 134 134 134 134 134 134 134 134 134
## [135,] 135 135 135 135 135 135 135 135 135 135 135
## [136,] 136 136 136 136 136 136 136 136 136 136 136
## [137,] 137 137 137 137 137 137 137 137 137 137 137
## [138,] 138 138 138 138 138 138 138 138 138 138 138
## [139,] 139 139 139 139 139 139 139 139 139 139 139
## [140,] 140 140 140 140 140 140 140 140 140 140 140
## [141,] 141 141 141 141 141 141 141 141 141 141 141
## [142,] 142 142 142 142 142 142 142 142 142 142 142
## [143,] 143 143 143 143 143 143 143 143 143 143 143
## [144,] 144 144 144 144 144 144 144 144 144 144 144
## [145,] 145 145 145 145 145 145 145 145 145 145 145
## [146,] 146 146 146 146 146 146 146 146 146 146 146
## [147,] 147 147 147 147 147 147 147 147 147 147 147
## [148,] 148 148 148 148 148 148 148 148 148 148 148
## [149,] 149 149 149 149 149 149 149 149 149 149 149
## [150,] 150 150 150 150 150 150 150 150 150 150 150
## [151,] 151 151 151 151 151 151 151 151 151 151 151
## [152,] 152 152 152 152 152 152 152 152 152 152 152
## [153,] 153 153 153 153 153 153 153 153 153 153 153
## [154,] 154 154 154 154 154 154 154 154 154 154 154
## [155,] 155 155 155 155 155 155 155 155 155 155 155
## [156,] 156 156 156 156 156 156 156 156 156 156 156
## [157,] 157 157 157 157 157 157 157 157 157 157 157
## [158,] 158 158 158 158 158 158 158 158 158 158 158
## [159,] 159 159 159 159 159 159 159 159 159 159 159
## [160,] 160 160 160 160 160 160 160 160 160 160 160
## [161,] 161 161 161 161 161 161 161 161 161 161 161
## [162,] 162 162 162 162 162 162 162 162 162 162 162
## [163,] 163 163 163 163 163 163 163 163 163 163 163
## [164,] 164 164 164 164 164 164 164 164 164 164 164
## [165,] 165 165 165 165 165 165 165 165 165 165 165
## [166,] 166 166 166 166 166 166 166 166 166 166 166
## [167,] 167 167 167 167 167 167 167 167 167 167 167
## [168,] 168 168 168 168 168 168 168 168 168 168 168
## [169,] 169 169 169 169 169 169 169 169 169 169 169
## [170,] 170 170 170 170 170 170 170 170 170 170 170
## [171,] 171 171 171 171 171 171 171 171 171 171 171
## [172,] 172 172 172 172 172 172 172 172 172 172 172
## [173,] 173 173 173 173 173 173 173 173 173 173 173
## [174,] 174 174 174 174 174 174 174 174 174 174 174
## [175,] 175 175 175 175 175 175 175 175 175 175 175
## [176,] 176 176 176 176 176 176 176 176 176 176 176
## [177,] 177 177 177 177 177 177 177 177 177 177 177
## [178,] 178 178 178 178 178 178 178 178 178 178 178
## [179,] 179 179 179 179 179 179 179 179 179 179 179
## [180,] 180 180 180 180 180 180 180 180 180 180 180
## [181,] 181 181 181 181 181 181 181 181 181 181 181
## [182,] 182 182 182 182 182 182 182 182 182 182 182
## [183,] 183 183 183 183 183 183 183 183 183 183 183
## [184,] 184 184 184 184 184 184 184 184 184 184 184
## [185,] 185 185 185 185 185 185 185 185 185 185 185
## [186,] 186 186 186 186 186 186 186 186 186 186 186
## [187,] 187 187 187 187 187 187 187 187 187 187 187
## [188,] 188 188 188 188 188 188 188 188 188 188 188
## [189,] 189 189 189 189 189 189 189 189 189 189 189
## [190,] 190 190 190 190 190 190 190 190 190 190 190
## [191,] 191 191 191 191 191 191 191 191 191 191 191
## [192,] 192 192 192 192 192 192 192 192 192 192 192
## [193,] 193 193 193 193 193 193 193 193 193 193 193
## [194,] 194 194 194 194 194 194 194 194 194 194 194
## [195,] 195 195 195 195 195 195 195 195 195 195 195
## [196,] 196 196 196 196 196 196 196 196 196 196 196
## [197,] 197 197 197 197 197 197 197 197 197 197 197
## [198,] 198 198 198 198 198 198 198 198 198 198 198
## [199,] 199 199 199 199 199 199 199 199 199 199 199
## [200,] 200 200 200 200 200 200 200 200 200 200 200
## [201,] 201 201 201 201 201 201 201 201 201 201 201
## [202,] 202 202 202 202 202 202 202 202 202 202 202
## [203,] 203 203 203 203 203 203 203 203 203 203 203
## [204,] 204 204 204 204 204 204 204 204 204 204 204
## [205,] 205 205 205 205 205 205 205 205 205 205 205
## [206,] 206 206 206 206 206 206 206 206 206 206 206
## [207,] 207 207 207 207 207 207 207 207 207 207 207
## [208,] 208 208 208 208 208 208 208 208 208 208 208
## [209,] 209 209 209 209 209 209 209 209 209 209 209
## [210,] 210 210 210 210 210 210 210 210 210 210 210
## [211,] 211 211 211 211 211 211 211 211 211 211 211
## [212,] 212 212 212 212 212 212 212 212 212 212 212
## [213,] 213 213 213 213 213 213 213 213 213 213 213
## [214,] 214 214 214 214 214 214 214 214 214 214 214
## [215,] 215 215 215 215 215 215 215 215 215 215 215
## [216,] 216 216 216 216 216 216 216 216 216 216 216
## [217,] 217 217 217 217 217 217 217 217 217 217 217
## [218,] 218 218 218 218 218 218 218 218 218 218 218
## [219,] 219 219 219 219 219 219 219 219 219 219 219
## [220,] 220 220 220 220 220 220 220 220 220 220 220
## [221,] 221 221 221 221 221 221 221 221 221 221 221
## [222,] 222 222 222 222 222 222 222 222 222 222 222
## [223,] 223 223 223 223 223 223 223 223 223 223 223
## [224,] 224 224 224 224 224 224 224 224 224 224 224
## [225,] 225 225 225 225 225 225 225 225 225 225 225
## [226,] 226 226 226 226 226 226 226 226 226 226 226
## [227,] 227 227 227 227 227 227 227 227 227 227 227
## [228,] 228 228 228 228 228 228 228 228 228 228 228
## [229,] 229 229 229 229 229 229 229 229 229 229 229
## [230,] 230 230 230 230 230 230 230 230 230 230 230
## [231,] 231 231 231 231 231 231 231 231 231 231 231
## [232,] 232 232 232 232 232 232 232 232 232 232 232
## [233,] 233 233 233 233 233 233 233 233 233 233 233
## [234,] 234 234 234 234 234 234 234 234 234 234 234
## [235,] 235 235 235 235 235 235 235 235 235 235 235
## [236,] 236 236 236 236 236 236 236 236 236 236 236
## [237,] 237 237 237 237 237 237 237 237 237 237 237
## [238,] 238 238 238 238 238 238 238 238 238 238 238
## [239,] 239 239 239 239 239 239 239 239 239 239 239
## [240,] 240 240 240 240 240 240 240 240 240 240 240
## [241,] 241 241 241 241 241 241 241 241 241 241 241
## [242,] 242 242 242 242 242 242 242 242 242 242 242
## [243,] 243 243 243 243 243 243 243 243 243 243 243
## [244,] 244 244 244 244 244 244 244 244 244 244 244
## [245,] 245 245 245 245 245 245 245 245 245 245 245
## [246,] 246 246 246 246 246 246 246 246 246 246 246
## [247,] 247 247 247 247 247 247 247 247 247 247 247
## [248,] 248 248 248 248 248 248 248 248 248 248 248
## [249,] 249 249 249 249 249 249 249 249 249 249 249
## [250,] 250 250 250 250 250 250 250 250 250 250 250
## [251,] 251 251 251 251 251 251 251 251 251 251 251
## [252,] 252 252 252 252 252 252 252 252 252 252 252
## [253,] 253 253 253 253 253 253 253 253 253 253 253
## [254,] 254 254 254 254 254 254 254 254 254 254 254
## [255,] 255 255 255 255 255 255 255 255 255 255 255
## [256,] 256 256 256 256 256 256 256 256 256 256 256
## [257,] 257 257 257 257 257 257 257 257 257 257 257
## [258,] 258 258 258 258 258 258 258 258 258 258 258
## [259,] 259 259 259 259 259 259 259 259 259 259 259
## [260,] 260 260 260 260 260 260 260 260 260 260 260
## [261,] 261 261 261 261 261 261 261 261 261 261 261
## [262,] 262 262 262 262 262 262 262 262 262 262 262
## [263,] 263 263 263 263 263 263 263 263 263 263 263
## [264,] 264 264 264 264 264 264 264 264 264 264 264
## [265,] 265 265 265 265 265 265 265 265 265 265 265
## [266,] 266 266 266 266 266 266 266 266 266 266 266
## [267,] 267 267 267 267 267 267 267 267 267 267 267
## [268,] 268 268 268 268 268 268 268 268 268 268 268
## [269,] 269 269 269 269 269 269 269 269 269 269 269
## [270,] 270 270 270 270 270 270 270 270 270 270 270
## [271,] 271 271 271 271 271 271 271 271 271 271 271
## [272,] 272 272 272 272 272 272 272 272 272 272 272
## [273,] 273 273 273 273 273 273 273 273 273 273 273
## [274,] 274 274 274 274 274 274 274 274 274 274 274
## [275,] 275 275 275 275 275 275 275 275 275 275 275
## [276,] 276 276 276 276 276 276 276 276 276 276 276
## [277,] 277 277 277 277 277 277 277 277 277 277 277
## [278,] 278 278 278 278 278 278 278 278 278 278 278
## [279,] 279 279 279 279 279 279 279 279 279 279 279
## [280,] 280 280 280 280 280 280 280 280 280 280 280
## [281,] 281 281 281 281 281 281 281 281 281 281 281
## [282,] 282 282 282 282 282 282 282 282 282 282 282
## [283,] 283 283 283 283 283 283 283 283 283 283 283
## [284,] 284 284 284 284 284 284 284 284 284 284 284
## [285,] 285 285 285 285 285 285 285 285 285 285 285
## [286,] 286 286 286 286 286 286 286 286 286 286 286
## [287,] 287 287 287 287 287 287 287 287 287 287 287
## [288,] 288 288 288 288 288 288 288 288 288 288 288
## [289,] 289 289 289 289 289 289 289 289 289 289 289
## [290,] 290 290 290 290 290 290 290 290 290 290 290
## [291,] 291 291 291 291 291 291 291 291 291 291 291
## [292,] 292 292 292 292 292 292 292 292 292 292 292
## [293,] 293 293 293 293 293 293 293 293 293 293 293
## [294,] 294 294 294 294 294 294 294 294 294 294 294
## [295,] 295 295 295 295 295 295 295 295 295 295 295
## [296,] 296 296 296 296 296 296 296 296 296 296 296
## [297,] 297 297 297 297 297 297 297 297 297 297 297
## [298,] 298 298 298 298 298 298 298 298 298 298 298
## [299,] 299 299 299 299 299 299 299 299 299 299 299
## [300,] 300 300 300 300 300 300 300 300 300 300 300
## [301,] 301 301 301 301 301 301 301 301 301 301 301
## [302,] 302 302 302 302 302 302 302 302 302 302 302
## [303,] 303 303 303 303 303 303 303 303 303 303 303
## [304,] 304 304 304 304 304 304 304 304 304 304 304
## [305,] 305 305 305 305 305 305 305 305 305 305 305
## [306,] 306 306 306 306 306 306 306 306 306 306 306
## [307,] 307 307 307 307 307 307 307 307 307 307 307
## [308,] 308 308 308 308 308 308 308 308 308 308 308
## [309,] 309 309 309 309 309 309 309 309 309 309 309
## [310,] 310 310 310 310 310 310 310 310 310 310 310
## [311,] 311 311 311 311 311 311 311 311 311 311 311
## [312,] 312 312 312 312 312 312 312 312 312 312 312
## [313,] 313 313 313 313 313 313 313 313 313 313 313
## [314,] 314 314 314 314 314 314 314 314 314 314 314
## [315,] 315 315 315 315 315 315 315 315 315 315 315
## [316,] 316 316 316 316 316 316 316 316 316 316 316
## [317,] 317 317 317 317 317 317 317 317 317 317 317
## [318,] 318 318 318 318 318 318 318 318 318 318 318
## [319,] 319 319 319 319 319 319 319 319 319 319 319
## [320,] 320 320 320 320 320 320 320 320 320 320 320
## [321,] 321 321 321 321 321 321 321 321 321 321 321
## [322,] 322 322 322 322 322 322 322 322 322 322 322
## [323,] 323 323 323 323 323 323 323 323 323 323 323
## [324,] 324 324 324 324 324 324 324 324 324 324 324
## [325,] 325 325 325 325 325 325 325 325 325 325 325
## [326,] 326 326 326 326 326 326 326 326 326 326 326
## [327,] 327 327 327 327 327 327 327 327 327 327 327
## [328,] 328 328 328 328 328 328 328 328 328 328 328
## [329,] 329 329 329 329 329 329 329 329 329 329 329
## [330,] 330 330 330 330 330 330 330 330 330 330 330
## [331,] 331 331 331 331 331 331 331 331 331 331 331
## [332,] 332 332 332 332 332 332 332 332 332 332 332
## [333,] 333 333 333 333 333 333 333 333 333 333 333
## [334,] 334 334 334 334 334 334 334 334 334 334 334
## [335,] 335 335 335 335 335 335 335 335 335 335 335
## [336,] 336 336 336 336 336 336 336 336 336 336 336
## [337,] 337 337 337 337 337 337 337 337 337 337 337
## [338,] 338 338 338 338 338 338 338 338 338 338 338
## [339,] 339 339 339 339 339 339 339 339 339 339 339
## [340,] 340 340 340 340 340 340 340 340 340 340 340
## [341,] 341 341 341 341 341 341 341 341 341 341 341
## [342,] 342 342 342 342 342 342 342 342 342 342 342
## [343,] 343 343 343 343 343 343 343 343 343 343 343
## [344,] 344 344 344 344 344 344 344 344 344 344 344
## [345,] 345 345 345 345 345 345 345 345 345 345 345
## [346,] 346 346 346 346 346 346 346 346 346 346 346
## [347,] 347 347 347 347 347 347 347 347 347 347 347
## [348,] 348 348 348 348 348 348 348 348 348 348 348
## [349,] 349 349 349 349 349 349 349 349 349 349 349
## [350,] 350 350 350 350 350 350 350 350 350 350 350
## [351,] 351 351 351 351 351 351 351 351 351 351 351
## [352,] 352 352 352 352 352 352 352 352 352 352 352
## [353,] 353 353 353 353 353 353 353 353 353 353 353
## [354,] 354 354 354 354 354 354 354 354 354 354 354
## [355,] 355 355 355 355 355 355 355 355 355 355 355
## [356,] 356 356 356 356 356 356 356 356 356 356 356
## [357,] 357 357 357 357 357 357 357 357 357 357 357
## [358,] 358 358 358 358 358 358 358 358 358 358 358
## [359,] 359 359 359 359 359 359 359 359 359 359 359
## [360,] 360 360 360 360 360 360 360 360 360 360 360
## [361,] 361 361 361 361 361 361 361 361 361 361 361
## [362,] 362 362 362 362 362 362 362 362 362 362 362
## [363,] 363 363 363 363 363 363 363 363 363 363 363
## [364,] 364 364 364 364 364 364 364 364 364 364 364
## [365,] 365 365 365 365 365 365 365 365 365 365 365
## [366,] 366 366 366 366 366 366 366 366 366 366 366
## [367,] 367 367 367 367 367 367 367 367 367 367 367
## [368,] 368 368 368 368 368 368 368 368 368 368 368
## [369,] 369 369 369 369 369 369 369 369 369 369 369
## [370,] 370 370 370 370 370 370 370 370 370 370 370
## [371,] 371 371 371 371 371 371 371 371 371 371 371
## [372,] 372 372 372 372 372 372 372 372 372 372 372
## [373,] 373 373 373 373 373 373 373 373 373 373 373
## [374,] 374 374 374 374 374 374 374 374 374 374 374
## [375,] 375 375 375 375 375 375 375 375 375 375 375
## [376,] 376 376 376 376 376 376 376 376 376 376 376
## [377,] 377 377 377 377 377 377 377 377 377 377 377
## [378,] 378 378 378 378 378 378 378 378 378 378 378
## [379,] 379 379 379 379 379 379 379 379 379 379 379
## [380,] 380 380 380 380 380 380 380 380 380 380 380
## [381,] 381 381 381 381 381 381 381 381 381 381 381
## [382,] 382 382 382 382 382 382 382 382 382 382 382
## [383,] 383 383 383 383 383 383 383 383 383 383 383
## [384,] 384 384 384 384 384 384 384 384 384 384 384
## [385,] 385 385 385 385 385 385 385 385 385 385 385
## [386,] 386 386 386 386 386 386 386 386 386 386 386
## [387,] 387 387 387 387 387 387 387 387 387 387 387
## [388,] 388 388 388 388 388 388 388 388 388 388 388
## [389,] 389 389 389 389 389 389 389 389 389 389 389
## [390,] 390 390 390 390 390 390 390 390 390 390 390
## [391,] 391 391 391 391 391 391 391 391 391 391 391
## [392,] 392 392 392 392 392 392 392 392 392 392 392
## [393,] 393 393 393 393 393 393 393 393 393 393 393
## [394,] 394 394 394 394 394 394 394 394 394 394 394
## [395,] 395 395 395 395 395 395 395 395 395 395 395
## [396,] 396 396 396 396 396 396 396 396 396 396 396
## [397,] 397 397 397 397 397 397 397 397 397 397 397
## [398,] 398 398 398 398 398 398 398 398 398 398 398
## [399,] 399 399 399 399 399 399 399 399 399 399 399
## [400,] 400 400 400 400 400 400 400 400 400 400 400
## [401,] 401 401 401 401 401 401 401 401 401 401 401
## [402,] 402 402 402 402 402 402 402 402 402 402 402
## [403,] 403 403 403 403 403 403 403 403 403 403 403
## [404,] 404 404 404 404 404 404 404 404 404 404 404
## [405,] 405 405 405 405 405 405 405 405 405 405 405
## [406,] 406 406 406 406 406 406 406 406 406 406 406
## [407,] 407 407 407 407 407 407 407 407 407 407 407
## [408,] 408 408 408 408 408 408 408 408 408 408 408
## [409,] 409 409 409 409 409 409 409 409 409 409 409
## [410,] 410 410 410 410 410 410 410 410 410 410 410
## [411,] 411 411 411 411 411 411 411 411 411 411 411
## [412,] 412 412 412 412 412 412 412 412 412 412 412
## [413,] 413 413 413 413 413 413 413 413 413 413 413
## [414,] 414 414 414 414 414 414 414 414 414 414 414
## [415,] 415 415 415 415 415 415 415 415 415 415 415
## [416,] 416 416 416 416 416 416 416 416 416 416 416
## [417,] 417 417 417 417 417 417 417 417 417 417 417
## [418,] 418 418 418 418 418 418 418 418 418 418 418
## [419,] 419 419 419 419 419 419 419 419 419 419 419
## [420,] 420 420 420 420 420 420 420 420 420 420 420
## [421,] 421 421 421 421 421 421 421 421 421 421 421
## [422,] 422 422 422 422 422 422 422 422 422 422 422
## [423,] 423 423 423 423 423 423 423 423 423 423 423
## [424,] 424 424 424 424 424 424 424 424 424 424 424
## [425,] 425 425 425 425 425 425 425 425 425 425 425
## [426,] 426 426 426 426 426 426 426 426 426 426 426
## [427,] 427 427 427 427 427 427 427 427 427 427 427
## [428,] 428 428 428 428 428 428 428 428 428 428 428
## [429,] 429 429 429 429 429 429 429 429 429 429 429
## [430,] 430 430 430 430 430 430 430 430 430 430 430
## [431,] 431 431 431 431 431 431 431 431 431 431 431
## [432,] 432 432 432 432 432 432 432 432 432 432 432
## [433,] 433 433 433 433 433 433 433 433 433 433 433
## [434,] 434 434 434 434 434 434 434 434 434 434 434
## [435,] 435 435 435 435 435 435 435 435 435 435 435
## [436,] 436 436 436 436 436 436 436 436 436 436 436
## [437,] 437 437 437 437 437 437 437 437 437 437 437
## [438,] 438 438 438 438 438 438 438 438 438 438 438
## [439,] 439 439 439 439 439 439 439 439 439 439 439
## [440,] 440 440 440 440 440 440 440 440 440 440 440
## [441,] 441 441 441 441 441 441 441 441 441 441 441
## [442,] 442 442 442 442 442 442 442 442 442 442 442
## [443,] 443 443 443 443 443 443 443 443 443 443 443
## [444,] 444 444 444 444 444 444 444 444 444 444 444
## [445,] 445 445 445 445 445 445 445 445 445 445 445
## [446,] 446 446 446 446 446 446 446 446 446 446 446
## [447,] 447 447 447 447 447 447 447 447 447 447 447
## [448,] 448 448 448 448 448 448 448 448 448 448 448
## [449,] 449 449 449 449 449 449 449 449 449 449 449
## [450,] 450 450 450 450 450 450 450 450 450 450 450
## [451,] 451 451 451 451 451 451 451 451 451 451 451
## [452,] 452 452 452 452 452 452 452 452 452 452 452
## [453,] 453 453 453 453 453 453 453 453 453 453 453
## [454,] 454 454 454 454 454 454 454 454 454 454 454
## [455,] 455 455 455 455 455 455 455 455 455 455 455
## [456,] 456 456 456 456 456 456 456 456 456 456 456
## [457,] 457 457 457 457 457 457 457 457 457 457 457
## [458,] 458 458 458 458 458 458 458 458 458 458 458
## [459,] 459 459 459 459 459 459 459 459 459 459 459
## [460,] 460 460 460 460 460 460 460 460 460 460 460
## [461,] 461 461 461 461 461 461 461 461 461 461 461
## [462,] 462 462 462 462 462 462 462 462 462 462 462
## [463,] 463 463 463 463 463 463 463 463 463 463 463
## [464,] 464 464 464 464 464 464 464 464 464 464 464
## [465,] 465 465 465 465 465 465 465 465 465 465 465
## [466,] 466 466 466 466 466 466 466 466 466 466 466
## [467,] 467 467 467 467 467 467 467 467 467 467 467
## [468,] 468 468 468 468 468 468 468 468 468 468 468
## [469,] 469 469 469 469 469 469 469 469 469 469 469
## [470,] 470 470 470 470 470 470 470 470 470 470 470
## [471,] 471 471 471 471 471 471 471 471 471 471 471
## [472,] 472 472 472 472 472 472 472 472 472 472 472
## [473,] 473 473 473 473 473 473 473 473 473 473 473
## [474,] 474 474 474 474 474 474 474 474 474 474 474
## [475,] 475 475 475 475 475 475 475 475 475 475 475
## [476,] 476 476 476 476 476 476 476 476 476 476 476
## [477,] 477 477 477 477 477 477 477 477 477 477 477
## [478,] 478 478 478 478 478 478 478 478 478 478 478
## [479,] 479 479 479 479 479 479 479 479 479 479 479
## [480,] 480 480 480 480 480 480 480 480 480 480 480
## [481,] 481 481 481 481 481 481 481 481 481 481 481
## [482,] 482 482 482 482 482 482 482 482 482 482 482
## [483,] 483 483 483 483 483 483 483 483 483 483 483
## [484,] 484 484 484 484 484 484 484 484 484 484 484
## [485,] 485 485 485 485 485 485 485 485 485 485 485
## [486,] 486 486 486 486 486 486 486 486 486 486 486
## [487,] 487 487 487 487 487 487 487 487 487 487 487
## [488,] 488 488 488 488 488 488 488 488 488 488 488
## [489,] 489 489 489 489 489 489 489 489 489 489 489
## [490,] 490 490 490 490 490 490 490 490 490 490 490
## [491,] 491 491 491 491 491 491 491 491 491 491 491
## [492,] 492 492 492 492 492 492 492 492 492 492 492
## [493,] 493 493 493 493 493 493 493 493 493 493 493
## [494,] 494 494 494 494 494 494 494 494 494 494 494
## [495,] 495 495 495 495 495 495 495 495 495 495 495
## [496,] 496 496 496 496 496 496 496 496 496 496 496
## [497,] 497 497 497 497 497 497 497 497 497 497 497
## [498,] 498 498 498 498 498 498 498 498 498 498 498
## [499,] 499 499 499 499 499 499 499 499 499 499 499
## [500,] 500 500 500 500 500 500 500 500 500 500 500
## [501,] 501 501 501 501 501 501 501 501 501 501 501
## [502,] 502 502 502 502 502 502 502 502 502 502 502
## [503,] 503 503 503 503 503 503 503 503 503 503 503
## [504,] 504 504 504 504 504 504 504 504 504 504 504
## [505,] 505 505 505 505 505 505 505 505 505 505 505
## [506,] 506 506 506 506 506 506 506 506 506 506 506
## [507,] 507 507 507 507 507 507 507 507 507 507 507
## [508,] 508 508 508 508 508 508 508 508 508 508 508
## [509,] 509 509 509 509 509 509 509 509 509 509 509
## [510,] 510 510 510 510 510 510 510 510 510 510 510
## [511,] 511 511 511 511 511 511 511 511 511 511 511
## [512,] 512 512 512 512 512 512 512 512 512 512 512
## [513,] 513 513 513 513 513 513 513 513 513 513 513
## [514,] 514 514 514 514 514 514 514 514 514 514 514
## [515,] 515 515 515 515 515 515 515 515 515 515 515
## [516,] 516 516 516 516 516 516 516 516 516 516 516
## [517,] 517 517 517 517 517 517 517 517 517 517 517
## [518,] 518 518 518 518 518 518 518 518 518 518 518
## [519,] 519 519 519 519 519 519 519 519 519 519 519
## [520,] 520 520 520 520 520 520 520 520 520 520 520
## [521,] 521 521 521 521 521 521 521 521 521 521 521
## [522,] 522 522 522 522 522 522 522 522 522 522 522
## [523,] 523 523 523 523 523 523 523 523 523 523 523
## [524,] 524 524 524 524 524 524 524 524 524 524 524
## [525,] 525 525 525 525 525 525 525 525 525 525 525
## [526,] 526 526 526 526 526 526 526 526 526 526 526
## [527,] 527 527 527 527 527 527 527 527 527 527 527
## [528,] 528 528 528 528 528 528 528 528 528 528 528
## [529,] 529 529 529 529 529 529 529 529 529 529 529
## [530,] 530 530 530 530 530 530 530 530 530 530 530
## [531,] 531 531 531 531 531 531 531 531 531 531 531
## [532,] 532 532 532 532 532 532 532 532 532 532 532
## [533,] 533 533 533 533 533 533 533 533 533 533 533
## [534,] 534 534 534 534 534 534 534 534 534 534 534
## [535,] 535 535 535 535 535 535 535 535 535 535 535
## [536,] 536 536 536 536 536 536 536 536 536 536 536
## [537,] 537 537 537 537 537 537 537 537 537 537 537
## [538,] 538 538 538 538 538 538 538 538 538 538 538
## [539,] 539 539 539 539 539 539 539 539 539 539 539
## [540,] 540 540 540 540 540 540 540 540 540 540 540
## [541,] 541 541 541 541 541 541 541 541 541 541 541
## [542,] 542 542 542 542 542 542 542 542 542 542 542
## [543,] 543 543 543 543 543 543 543 543 543 543 543
## [544,] 544 544 544 544 544 544 544 544 544 544 544
## [545,] 545 545 545 545 545 545 545 545 545 545 545
## [546,] 546 546 546 546 546 546 546 546 546 546 546
## [547,] 547 547 547 547 547 547 547 547 547 547 547
## [548,] 548 548 548 548 548 548 548 548 548 548 548
## [549,] 549 549 549 549 549 549 549 549 549 549 549
## [550,] 550 550 550 550 550 550 550 550 550 550 550
## [551,] 551 551 551 551 551 551 551 551 551 551 551
## [552,] 552 552 552 552 552 552 552 552 552 552 552
## [553,] 553 553 553 553 553 553 553 553 553 553 553
## [554,] 554 554 554 554 554 554 554 554 554 554 554
## [555,] 555 555 555 555 555 555 555 555 555 555 555
## [556,] 556 556 556 556 556 556 556 556 556 556 556
## [557,] 557 557 557 557 557 557 557 557 557 557 557
## [558,] 558 558 558 558 558 558 558 558 558 558 558
## [559,] 559 559 559 559 559 559 559 559 559 559 559
## [560,] 560 560 560 560 560 560 560 560 560 560 560
## [561,] 561 561 561 561 561 561 561 561 561 561 561
## [562,] 562 562 562 562 562 562 562 562 562 562 562
## [563,] 563 563 563 563 563 563 563 563 563 563 563
## [564,] 564 564 564 564 564 564 564 564 564 564 564
## [565,] 565 565 565 565 565 565 565 565 565 565 565
## [566,] 566 566 566 566 566 566 566 566 566 566 566
## [567,] 567 567 567 567 567 567 567 567 567 567 567
## [568,] 568 568 568 568 568 568 568 568 568 568 568
## [569,] 569 569 569 569 569 569 569 569 569 569 569
## [570,] 570 570 570 570 570 570 570 570 570 570 570
## [571,] 571 571 571 571 571 571 571 571 571 571 571
## [572,] 572 572 572 572 572 572 572 572 572 572 572
## [573,] 573 573 573 573 573 573 573 573 573 573 573
## [574,] 574 574 574 574 574 574 574 574 574 574 574
## [575,] 575 575 575 575 575 575 575 575 575 575 575
## [576,] 576 576 576 576 576 576 576 576 576 576 576
## [577,] 577 577 577 577 577 577 577 577 577 577 577
## [578,] 578 578 578 578 578 578 578 578 578 578 578
## [579,] 579 579 579 579 579 579 579 579 579 579 579
## [580,] 580 580 580 580 580 580 580 580 580 580 580
## [581,] 581 581 581 581 581 581 581 581 581 581 581
## [582,] 582 582 582 582 582 582 582 582 582 582 582
## [583,] 583 583 583 583 583 583 583 583 583 583 583
## [584,] 584 584 584 584 584 584 584 584 584 584 584
## [585,] 585 585 585 585 585 585 585 585 585 585 585
## [586,] 586 586 586 586 586 586 586 586 586 586 586
## [587,] 587 587 587 587 587 587 587 587 587 587 587
## [588,] 588 588 588 588 588 588 588 588 588 588 588
## [589,] 589 589 589 589 589 589 589 589 589 589 589
## [590,] 590 590 590 590 590 590 590 590 590 590 590
## [591,] 591 591 591 591 591 591 591 591 591 591 591
## [592,] 592 592 592 592 592 592 592 592 592 592 592
## [593,] 593 593 593 593 593 593 593 593 593 593 593
## [594,] 594 594 594 594 594 594 594 594 594 594 594
## [595,] 595 595 595 595 595 595 595 595 595 595 595
## [596,] 596 596 596 596 596 596 596 596 596 596 596
## [597,] 597 597 597 597 597 597 597 597 597 597 597
## [598,] 598 598 598 598 598 598 598 598 598 598 598
## [599,] 599 599 599 599 599 599 599 599 599 599 599
## [600,] 600 600 600 600 600 600 600 600 600 600 600
## [601,] 601 601 601 601 601 601 601 601 601 601 601
## [602,] 602 602 602 602 602 602 602 602 602 602 602
## [603,] 603 603 603 603 603 603 603 603 603 603 603
## [604,] 604 604 604 604 604 604 604 604 604 604 604
## [605,] 605 605 605 605 605 605 605 605 605 605 605
## [606,] 606 606 606 606 606 606 606 606 606 606 606
## [607,] 607 607 607 607 607 607 607 607 607 607 607
## [608,] 608 608 608 608 608 608 608 608 608 608 608
## [609,] 609 609 609 609 609 609 609 609 609 609 609
## [610,] 610 610 610 610 610 610 610 610 610 610 610
## [611,] 611 611 611 611 611 611 611 611 611 611 611
## [612,] 612 612 612 612 612 612 612 612 612 612 612
## [613,] 613 613 613 613 613 613 613 613 613 613 613
## [614,] 614 614 614 614 614 614 614 614 614 614 614
## [615,] 615 615 615 615 615 615 615 615 615 615 615
## [616,] 616 616 616 616 616 616 616 616 616 616 616
## [617,] 617 617 617 617 617 617 617 617 617 617 617
## [618,] 618 618 618 618 618 618 618 618 618 618 618
## [619,] 619 619 619 619 619 619 619 619 619 619 619
## [620,] 620 620 620 620 620 620 620 620 620 620 620
## [621,] 621 621 621 621 621 621 621 621 621 621 621
## [622,] 622 622 622 622 622 622 622 622 622 622 622
## [623,] 623 623 623 623 623 623 623 623 623 623 623
## [624,] 624 624 624 624 624 624 624 624 624 624 624
## [625,] 625 625 625 625 625 625 625 625 625 625 625
## [626,] 626 626 626 626 626 626 626 626 626 626 626
## [627,] 627 627 627 627 627 627 627 627 627 627 627
## [628,] 628 628 628 628 628 628 628 628 628 628 628
## [629,] 629 629 629 629 629 629 629 629 629 629 629
## [630,] 630 630 630 630 630 630 630 630 630 630 630
## [631,] 631 631 631 631 631 631 631 631 631 631 631
## [632,] 632 632 632 632 632 632 632 632 632 632 632
## [633,] 633 633 633 633 633 633 633 633 633 633 633
## [634,] 634 634 634 634 634 634 634 634 634 634 634
## [635,] 635 635 635 635 635 635 635 635 635 635 635
## [636,] 636 636 636 636 636 636 636 636 636 636 636
## [637,] 637 637 637 637 637 637 637 637 637 637 637
## [638,] 638 638 638 638 638 638 638 638 638 638 638
## [639,] 639 639 639 639 639 639 639 639 639 639 639
## [640,] 640 640 640 640 640 640 640 640 640 640 640
## [641,] 641 641 641 641 641 641 641 641 641 641 641
## [642,] 642 642 642 642 642 642 642 642 642 642 642
## [643,] 643 643 643 643 643 643 643 643 643 643 643
## [644,] 644 644 644 644 644 644 644 644 644 644 644
## [645,] 645 645 645 645 645 645 645 645 645 645 645
## [646,] 646 646 646 646 646 646 646 646 646 646 646
## [647,] 647 647 647 647 647 647 647 647 647 647 647
## [648,] 648 648 648 648 648 648 648 648 648 648 648
## [649,] 649 649 649 649 649 649 649 649 649 649 649
## [650,] 650 650 650 650 650 650 650 650 650 650 650
## [651,] 651 651 651 651 651 651 651 651 651 651 651
## [652,] 652 652 652 652 652 652 652 652 652 652 652
## [653,] 653 653 653 653 653 653 653 653 653 653 653
## [654,] 654 654 654 654 654 654 654 654 654 654 654
## [655,] 655 655 655 655 655 655 655 655 655 655 655
## [656,] 656 656 656 656 656 656 656 656 656 656 656
## [657,] 657 657 657 657 657 657 657 657 657 657 657
## [658,] 658 658 658 658 658 658 658 658 658 658 658
## [659,] 659 659 659 659 659 659 659 659 659 659 659
## [660,] 660 660 660 660 660 660 660 660 660 660 660
## [661,] 661 661 661 661 661 661 661 661 661 661 661
## [662,] 662 662 662 662 662 662 662 662 662 662 662
## [663,] 663 663 663 663 663 663 663 663 663 663 663
## [664,] 664 664 664 664 664 664 664 664 664 664 664
## [665,] 665 665 665 665 665 665 665 665 665 665 665
## [666,] 666 666 666 666 666 666 666 666 666 666 666
## [667,] 667 667 667 667 667 667 667 667 667 667 667
## [668,] 668 668 668 668 668 668 668 668 668 668 668
## [669,] 669 669 669 669 669 669 669 669 669 669 669
## [670,] 670 670 670 670 670 670 670 670 670 670 670
## [671,] 671 671 671 671 671 671 671 671 671 671 671
## [672,] 672 672 672 672 672 672 672 672 672 672 672
## [673,] 673 673 673 673 673 673 673 673 673 673 673
## [674,] 674 674 674 674 674 674 674 674 674 674 674
## [675,] 675 675 675 675 675 675 675 675 675 675 675
## [676,] 676 676 676 676 676 676 676 676 676 676 676
## [677,] 677 677 677 677 677 677 677 677 677 677 677
## [678,] 678 678 678 678 678 678 678 678 678 678 678
## [679,] 679 679 679 679 679 679 679 679 679 679 679
## [680,] 680 680 680 680 680 680 680 680 680 680 680
## [681,] 681 681 681 681 681 681 681 681 681 681 681
## [682,] 682 682 682 682 682 682 682 682 682 682 682
## [683,] 683 683 683 683 683 683 683 683 683 683 683
## [684,] 684 684 684 684 684 684 684 684 684 684 684
## [685,] 685 685 685 685 685 685 685 685 685 685 685
## [686,] 686 686 686 686 686 686 686 686 686 686 686
## [687,] 687 687 687 687 687 687 687 687 687 687 687
## [688,] 688 688 688 688 688 688 688 688 688 688 688
## [689,] 689 689 689 689 689 689 689 689 689 689 689
## [690,] 690 690 690 690 690 690 690 690 690 690 690
## [691,] 691 691 691 691 691 691 691 691 691 691 691
## [692,] 692 692 692 692 692 692 692 692 692 692 692
## [693,] 693 693 693 693 693 693 693 693 693 693 693
## [694,] 694 694 694 694 694 694 694 694 694 694 694
## [695,] 695 695 695 695 695 695 695 695 695 695 695
## [696,] 696 696 696 696 696 696 696 696 696 696 696
## [697,] 697 697 697 697 697 697 697 697 697 697 697
## [698,] 698 698 698 698 698 698 698 698 698 698 698
## [699,] 699 699 699 699 699 699 699 699 699 699 699
## [700,] 700 700 700 700 700 700 700 700 700 700 700
## [701,] 701 701 701 701 701 701 701 701 701 701 701
## [702,] 702 702 702 702 702 702 702 702 702 702 702
## [703,] 703 703 703 703 703 703 703 703 703 703 703
## [704,] 704 704 704 704 704 704 704 704 704 704 704
## [705,] 705 705 705 705 705 705 705 705 705 705 705
## [706,] 706 706 706 706 706 706 706 706 706 706 706
## [707,] 707 707 707 707 707 707 707 707 707 707 707
## [708,] 708 708 708 708 708 708 708 708 708 708 708
## [709,] 709 709 709 709 709 709 709 709 709 709 709
## [710,] 710 710 710 710 710 710 710 710 710 710 710
## [711,] 711 711 711 711 711 711 711 711 711 711 711
## [712,] 712 712 712 712 712 712 712 712 712 712 712
## [713,] 713 713 713 713 713 713 713 713 713 713 713
## [714,] 714 714 714 714 714 714 714 714 714 714 714
## [715,] 715 715 715 715 715 715 715 715 715 715 715
## [716,] 716 716 716 716 716 716 716 716 716 716 716
## [717,] 717 717 717 717 717 717 717 717 717 717 717
## [718,] 718 718 718 718 718 718 718 718 718 718 718
## [719,] 719 719 719 719 719 719 719 719 719 719 719
## [720,] 720 720 720 720 720 720 720 720 720 720 720
## [721,] 721 721 721 721 721 721 721 721 721 721 721
## [722,] 722 722 722 722 722 722 722 722 722 722 722
## [723,] 723 723 723 723 723 723 723 723 723 723 723
## [724,] 724 724 724 724 724 724 724 724 724 724 724
## [725,] 725 725 725 725 725 725 725 725 725 725 725
## [726,] 726 726 726 726 726 726 726 726 726 726 726
## [727,] 727 727 727 727 727 727 727 727 727 727 727
## [728,] 728 728 728 728 728 728 728 728 728 728 728
## [729,] 729 729 729 729 729 729 729 729 729 729 729
## [730,] 730 730 730 730 730 730 730 730 730 730 730
## [731,] 731 731 731 731 731 731 731 731 731 731 731
## [732,] 732 732 732 732 732 732 732 732 732 732 732
## [733,] 733 733 733 733 733 733 733 733 733 733 733
## [734,] 734 734 734 734 734 734 734 734 734 734 734
## [735,] 735 735 735 735 735 735 735 735 735 735 735
## [736,] 736 736 736 736 736 736 736 736 736 736 736
## [737,] 737 737 737 737 737 737 737 737 737 737 737
## [738,] 738 738 738 738 738 738 738 738 738 738 738
## [739,] 739 739 739 739 739 739 739 739 739 739 739
## [740,] 740 740 740 740 740 740 740 740 740 740 740
## [741,] 741 741 741 741 741 741 741 741 741 741 741
## [742,] 742 742 742 742 742 742 742 742 742 742 742
## [743,] 743 743 743 743 743 743 743 743 743 743 743
## [744,] 744 744 744 744 744 744 744 744 744 744 744
## [745,] 745 745 745 745 745 745 745 745 745 745 745
## [746,] 746 746 746 746 746 746 746 746 746 746 746
## [747,] 747 747 747 747 747 747 747 747 747 747 747
## [748,] 748 748 748 748 748 748 748 748 748 748 748
## [749,] 749 749 749 749 749 749 749 749 749 749 749
## [750,] 750 750 750 750 750 750 750 750 750 750 750
## [751,] 751 751 751 751 751 751 751 751 751 751 751
## [752,] 752 752 752 752 752 752 752 752 752 752 752
## [753,] 753 753 753 753 753 753 753 753 753 753 753
## [754,] 754 754 754 754 754 754 754 754 754 754 754
## [755,] 755 755 755 755 755 755 755 755 755 755 755
## [756,] 756 756 756 756 756 756 756 756 756 756 756
## [757,] 757 757 757 757 757 757 757 757 757 757 757
## [758,] 758 758 758 758 758 758 758 758 758 758 758
## [759,] 759 759 759 759 759 759 759 759 759 759 759
## [760,] 760 760 760 760 760 760 760 760 760 760 760
## [761,] 761 761 761 761 761 761 761 761 761 761 761
## [762,] 762 762 762 762 762 762 762 762 762 762 762
## [763,] 763 763 763 763 763 763 763 763 763 763 763
## [764,] 764 764 764 764 764 764 764 764 764 764 764
## [765,] 765 765 765 765 765 765 765 765 765 765 765
## [766,] 766 766 766 766 766 766 766 766 766 766 766
## [767,] 767 767 767 767 767 767 767 767 767 767 767
## [768,] 768 768 768 768 768 768 768 768 768 768 768
## [769,] 769 769 769 769 769 769 769 769 769 769 769
## [770,] 770 770 770 770 770 770 770 770 770 770 770
## [771,] 771 771 771 771 771 771 771 771 771 771 771
## [772,] 772 772 772 772 772 772 772 772 772 772 772
## [773,] 773 773 773 773 773 773 773 773 773 773 773
## [774,] 774 774 774 774 774 774 774 774 774 774 774
## [775,] 775 775 775 775 775 775 775 775 775 775 775
## [776,] 776 776 776 776 776 776 776 776 776 776 776
## [777,] 777 777 777 777 777 777 777 777 777 777 777
## [778,] 778 778 778 778 778 778 778 778 778 778 778
## [779,] 779 779 779 779 779 779 779 779 779 779 779
## [780,] 780 780 780 780 780 780 780 780 780 780 780
## [781,] 781 781 781 781 781 781 781 781 781 781 781
## [782,] 782 782 782 782 782 782 782 782 782 782 782
## [783,] 783 783 783 783 783 783 783 783 783 783 783
## [784,] 784 784 784 784 784 784 784 784 784 784 784
## [785,] 785 785 785 785 785 785 785 785 785 785 785
## [786,] 786 786 786 786 786 786 786 786 786 786 786
## [787,] 787 787 787 787 787 787 787 787 787 787 787
## [788,] 788 788 788 788 788 788 788 788 788 788 788
## [789,] 789 789 789 789 789 789 789 789 789 789 789
## [790,] 790 790 790 790 790 790 790 790 790 790 790
## [791,] 791 791 791 791 791 791 791 791 791 791 791
## [792,] 792 792 792 792 792 792 792 792 792 792 792
## [793,] 793 793 793 793 793 793 793 793 793 793 793
## [794,] 794 794 794 794 794 794 794 794 794 794 794
## [795,] 795 795 795 795 795 795 795 795 795 795 795
## [796,] 796 796 796 796 796 796 796 796 796 796 796
## [797,] 797 797 797 797 797 797 797 797 797 797 797
## [798,] 798 798 798 798 798 798 798 798 798 798 798
## [799,] 799 799 799 799 799 799 799 799 799 799 799
## [800,] 800 800 800 800 800 800 800 800 800 800 800
## [801,] 801 801 801 801 801 801 801 801 801 801 801
## [802,] 802 802 802 802 802 802 802 802 802 802 802
## [803,] 803 803 803 803 803 803 803 803 803 803 803
## [804,] 804 804 804 804 804 804 804 804 804 804 804
## [805,] 805 805 805 805 805 805 805 805 805 805 805
## [806,] 806 806 806 806 806 806 806 806 806 806 806
## [807,] 807 807 807 807 807 807 807 807 807 807 807
## [808,] 808 808 808 808 808 808 808 808 808 808 808
## [809,] 809 809 809 809 809 809 809 809 809 809 809
## [810,] 810 810 810 810 810 810 810 810 810 810 810
## [811,] 811 811 811 811 811 811 811 811 811 811 811
## [812,] 812 812 812 812 812 812 812 812 812 812 812
## [813,] 813 813 813 813 813 813 813 813 813 813 813
## [814,] 814 814 814 814 814 814 814 814 814 814 814
## [815,] 815 815 815 815 815 815 815 815 815 815 815
## [816,] 816 816 816 816 816 816 816 816 816 816 816
## [817,] 817 817 817 817 817 817 817 817 817 817 817
## [818,] 818 818 818 818 818 818 818 818 818 818 818
## [819,] 819 819 819 819 819 819 819 819 819 819 819
## [820,] 820 820 820 820 820 820 820 820 820 820 820
## [821,] 821 821 821 821 821 821 821 821 821 821 821
## [822,] 822 822 822 822 822 822 822 822 822 822 822
## [823,] 823 823 823 823 823 823 823 823 823 823 823
## [824,] 824 824 824 824 824 824 824 824 824 824 824
## [825,] 825 825 825 825 825 825 825 825 825 825 825
## [826,] 826 826 826 826 826 826 826 826 826 826 826
## [827,] 827 827 827 827 827 827 827 827 827 827 827
## [828,] 828 828 828 828 828 828 828 828 828 828 828
## [829,] 829 829 829 829 829 829 829 829 829 829 829
## [830,] 830 830 830 830 830 830 830 830 830 830 830
## [831,] 831 831 831 831 831 831 831 831 831 831 831
## [832,] 832 832 832 832 832 832 832 832 832 832 832
## [833,] 833 833 833 833 833 833 833 833 833 833 833
## [834,] 834 834 834 834 834 834 834 834 834 834 834
## [835,] 835 835 835 835 835 835 835 835 835 835 835
## [836,] 836 836 836 836 836 836 836 836 836 836 836
## [837,] 837 837 837 837 837 837 837 837 837 837 837
## [838,] 838 838 838 838 838 838 838 838 838 838 838
## [839,] 839 839 839 839 839 839 839 839 839 839 839
## [840,] 840 840 840 840 840 840 840 840 840 840 840
## [841,] 841 841 841 841 841 841 841 841 841 841 841
## [842,] 842 842 842 842 842 842 842 842 842 842 842
## [843,] 843 843 843 843 843 843 843 843 843 843 843
## [844,] 844 844 844 844 844 844 844 844 844 844 844
## [845,] 845 845 845 845 845 845 845 845 845 845 845
## [846,] 846 846 846 846 846 846 846 846 846 846 846
## [847,] 847 847 847 847 847 847 847 847 847 847 847
## [848,] 848 848 848 848 848 848 848 848 848 848 848
## [849,] 849 849 849 849 849 849 849 849 849 849 849
## [850,] 850 850 850 850 850 850 850 850 850 850 850
## [851,] 851 851 851 851 851 851 851 851 851 851 851
## [852,] 852 852 852 852 852 852 852 852 852 852 852
## [853,] 853 853 853 853 853 853 853 853 853 853 853
## [854,] 854 854 854 854 854 854 854 854 854 854 854
## [855,] 855 855 855 855 855 855 855 855 855 855 855
## [856,] 856 856 856 856 856 856 856 856 856 856 856
## [857,] 857 857 857 857 857 857 857 857 857 857 857
## [858,] 858 858 858 858 858 858 858 858 858 858 858
## [859,] 859 859 859 859 859 859 859 859 859 859 859
## [860,] 860 860 860 860 860 860 860 860 860 860 860
## [861,] 861 861 861 861 861 861 861 861 861 861 861
## [862,] 862 862 862 862 862 862 862 862 862 862 862
## [863,] 863 863 863 863 863 863 863 863 863 863 863
## [864,] 864 864 864 864 864 864 864 864 864 864 864
## [865,] 865 865 865 865 865 865 865 865 865 865 865
## [866,] 866 866 866 866 866 866 866 866 866 866 866
## [867,] 867 867 867 867 867 867 867 867 867 867 867
## [868,] 868 868 868 868 868 868 868 868 868 868 868
## [869,] 869 869 869 869 869 869 869 869 869 869 869
## [870,] 870 870 870 870 870 870 870 870 870 870 870
## [871,] 871 871 871 871 871 871 871 871 871 871 871
## [872,] 872 872 872 872 872 872 872 872 872 872 872
## [873,] 873 873 873 873 873 873 873 873 873 873 873
## [874,] 874 874 874 874 874 874 874 874 874 874 874
## [875,] 875 875 875 875 875 875 875 875 875 875 875
## [876,] 876 876 876 876 876 876 876 876 876 876 876
## [877,] 877 877 877 877 877 877 877 877 877 877 877
## [878,] 878 878 878 878 878 878 878 878 878 878 878
## [879,] 879 879 879 879 879 879 879 879 879 879 879
## [880,] 880 880 880 880 880 880 880 880 880 880 880
## [881,] 881 881 881 881 881 881 881 881 881 881 881
## [882,] 882 882 882 882 882 882 882 882 882 882 882
## [883,] 883 883 883 883 883 883 883 883 883 883 883
## [884,] 884 884 884 884 884 884 884 884 884 884 884
## [885,] 885 885 885 885 885 885 885 885 885 885 885
## [886,] 886 886 886 886 886 886 886 886 886 886 886
## [887,] 887 887 887 887 887 887 887 887 887 887 887
## [888,] 888 888 888 888 888 888 888 888 888 888 888
## [889,] 889 889 889 889 889 889 889 889 889 889 889
## [890,] 890 890 890 890 890 890 890 890 890 890 890
## [891,] 891 891 891 891 891 891 891 891 891 891 891
## [892,] 892 892 892 892 892 892 892 892 892 892 892
## [893,] 893 893 893 893 893 893 893 893 893 893 893
## [894,] 894 894 894 894 894 894 894 894 894 894 894
## [895,] 895 895 895 895 895 895 895 895 895 895 895
## [896,] 896 896 896 896 896 896 896 896 896 896 896
## [897,] 897 897 897 897 897 897 897 897 897 897 897
## [898,] 898 898 898 898 898 898 898 898 898 898 898
## [899,] 899 899 899 899 899 899 899 899 899 899 899
## [900,] 900 900 900 900 900 900 900 900 900 900 900
## [901,] 901 901 901 901 901 901 901 901 901 901 901
## [902,] 902 902 902 902 902 902 902 902 902 902 902
## [903,] 903 903 903 903 903 903 903 903 903 903 903
## [904,] 904 904 904 904 904 904 904 904 904 904 904
## [905,] 905 905 905 905 905 905 905 905 905 905 905
## [906,] 906 906 906 906 906 906 906 906 906 906 906
## [907,] 907 907 907 907 907 907 907 907 907 907 907
## [908,] 908 908 908 908 908 908 908 908 908 908 908
## [909,] 909 909 909 909 909 909 909 909 909 909 909
## [910,] 910 910 910 910 910 910 910 910 910 910 910
## [911,] 911 911 911 911 911 911 911 911 911 911 911
## [912,] 912 912 912 912 912 912 912 912 912 912 912
## [913,] 913 913 913 913 913 913 913 913 913 913 913
## [914,] 914 914 914 914 914 914 914 914 914 914 914
## [915,] 915 915 915 915 915 915 915 915 915 915 915
## [916,] 916 916 916 916 916 916 916 916 916 916 916
## [917,] 917 917 917 917 917 917 917 917 917 917 917
## [918,] 918 918 918 918 918 918 918 918 918 918 918
## [919,] 919 919 919 919 919 919 919 919 919 919 919
## [920,] 920 920 920 920 920 920 920 920 920 920 920
## [921,] 921 921 921 921 921 921 921 921 921 921 921
## [922,] 922 922 922 922 922 922 922 922 922 922 922
## [923,] 923 923 923 923 923 923 923 923 923 923 923
## [924,] 924 924 924 924 924 924 924 924 924 924 924
## [925,] 925 925 925 925 925 925 925 925 925 925 925
## [926,] 926 926 926 926 926 926 926 926 926 926 926
## [927,] 927 927 927 927 927 927 927 927 927 927 927
## [928,] 928 928 928 928 928 928 928 928 928 928 928
## [929,] 929 929 929 929 929 929 929 929 929 929 929
## [930,] 930 930 930 930 930 930 930 930 930 930 930
## [931,] 931 931 931 931 931 931 931 931 931 931 931
## [932,] 932 932 932 932 932 932 932 932 932 932 932
## [933,] 933 933 933 933 933 933 933 933 933 933 933
## [934,] 934 934 934 934 934 934 934 934 934 934 934
## [935,] 935 935 935 935 935 935 935 935 935 935 935
## [936,] 936 936 936 936 936 936 936 936 936 936 936
## [937,] 937 937 937 937 937 937 937 937 937 937 937
## [938,] 938 938 938 938 938 938 938 938 938 938 938
## [939,] 939 939 939 939 939 939 939 939 939 939 939
## [940,] 940 940 940 940 940 940 940 940 940 940 940
## [941,] 941 941 941 941 941 941 941 941 941 941 941
## [942,] 942 942 942 942 942 942 942 942 942 942 942
## [943,] 943 943 943 943 943 943 943 943 943 943 943
## [944,] 944 944 944 944 944 944 944 944 944 944 944
## [945,] 945 945 945 945 945 945 945 945 945 945 945
## [946,] 946 946 946 946 946 946 946 946 946 946 946
## [947,] 947 947 947 947 947 947 947 947 947 947 947
## [948,] 948 948 948 948 948 948 948 948 948 948 948
## [949,] 949 949 949 949 949 949 949 949 949 949 949
## [950,] 950 950 950 950 950 950 950 950 950 950 950
## [951,] 951 951 951 951 951 951 951 951 951 951 951
## [952,] 952 952 952 952 952 952 952 952 952 952 952
## [953,] 953 953 953 953 953 953 953 953 953 953 953
## [954,] 954 954 954 954 954 954 954 954 954 954 954
## [955,] 955 955 955 955 955 955 955 955 955 955 955
## [956,] 956 956 956 956 956 956 956 956 956 956 956
## [957,] 957 957 957 957 957 957 957 957 957 957 957
## [958,] 958 958 958 958 958 958 958 958 958 958 958
## [959,] 959 959 959 959 959 959 959 959 959 959 959
## [960,] 960 960 960 960 960 960 960 960 960 960 960
## [961,] 961 961 961 961 961 961 961 961 961 961 961
## [962,] 962 962 962 962 962 962 962 962 962 962 962
## [963,] 963 963 963 963 963 963 963 963 963 963 963
## [964,] 964 964 964 964 964 964 964 964 964 964 964
## [965,] 965 965 965 965 965 965 965 965 965 965 965
## [966,] 966 966 966 966 966 966 966 966 966 966 966
## [967,] 967 967 967 967 967 967 967 967 967 967 967
## [968,] 968 968 968 968 968 968 968 968 968 968 968
## [969,] 969 969 969 969 969 969 969 969 969 969 969
## [970,] 970 970 970 970 970 970 970 970 970 970 970
## [971,] 971 971 971 971 971 971 971 971 971 971 971
## [972,] 972 972 972 972 972 972 972 972 972 972 972
## [973,] 973 973 973 973 973 973 973 973 973 973 973
## [974,] 974 974 974 974 974 974 974 974 974 974 974
## [975,] 975 975 975 975 975 975 975 975 975 975 975
## [976,] 976 976 976 976 976 976 976 976 976 976 976
## [977,] 977 977 977 977 977 977 977 977 977 977 977
## [978,] 978 978 978 978 978 978 978 978 978 978 978
## [979,] 979 979 979 979 979 979 979 979 979 979 979
## [980,] 980 980 980 980 980 980 980 980 980 980 980
## [981,] 981 981 981 981 981 981 981 981 981 981 981
## [982,] 982 982 982 982 982 982 982 982 982 982 982
## [983,] 983 983 983 983 983 983 983 983 983 983 983
## [984,] 984 984 984 984 984 984 984 984 984 984 984
## [985,] 985 985 985 985 985 985 985 985 985 985 985
## [986,] 986 986 986 986 986 986 986 986 986 986 986
## [987,] 987 987 987 987 987 987 987 987 987 987 987
## [988,] 988 988 988 988 988 988 988 988 988 988 988
## [989,] 989 989 989 989 989 989 989 989 989 989 989
## [990,] 990 990 990 990 990 990 990 990 990 990 990
## [991,] 991 991 991 991 991 991 991 991 991 991 991
## [992,] 992 992 992 992 992 992 992 992 992 992 992
## [993,] 993 993 993 993 993 993 993 993 993 993 993
## [994,] 994 994 994 994 994 994 994 994 994 994 994
## [995,] 995 995 995 995 995 995 995 995 995 995 995
## [996,] 996 996 996 996 996 996 996 996 996 996 996
## [997,] 997 997 997 997 997 997 997 997 997 997 997
## [998,] 998 998 998 998 998 998 998 998 998 998 998
## [999,] 999 999 999 999 999 999 999 999 999 999 999
## [1000,] 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000 1000
## [1001,] 1001 1001 1001 1001 1001 1001 1001 1001 1001 1001 1001
## [1002,] 1002 1002 1002 1002 1002 1002 1002 1002 1002 1002 1002
## [1003,] 1003 1003 1003 1003 1003 1003 1003 1003 1003 1003 1003
## [1004,] 1004 1004 1004 1004 1004 1004 1004 1004 1004 1004 1004
## [1005,] 1005 1005 1005 1005 1005 1005 1005 1005 1005 1005 1005
## [1006,] 1006 1006 1006 1006 1006 1006 1006 1006 1006 1006 1006
## [1007,] 1007 1007 1007 1007 1007 1007 1007 1007 1007 1007 1007
## [1008,] 1008 1008 1008 1008 1008 1008 1008 1008 1008 1008 1008
## [1009,] 1009 1009 1009 1009 1009 1009 1009 1009 1009 1009 1009
## [1010,] 1010 1010 1010 1010 1010 1010 1010 1010 1010 1010 1010
## [1011,] 1011 1011 1011 1011 1011 1011 1011 1011 1011 1011 1011
## [1012,] 1012 1012 1012 1012 1012 1012 1012 1012 1012 1012 1012
## [1013,] 1013 1013 1013 1013 1013 1013 1013 1013 1013 1013 1013
## [1014,] 1014 1014 1014 1014 1014 1014 1014 1014 1014 1014 1014
## [1015,] 1015 1015 1015 1015 1015 1015 1015 1015 1015 1015 1015
## [1016,] 1016 1016 1016 1016 1016 1016 1016 1016 1016 1016 1016
## [1017,] 1017 1017 1017 1017 1017 1017 1017 1017 1017 1017 1017
## [1018,] 1018 1018 1018 1018 1018 1018 1018 1018 1018 1018 1018
## [1019,] 1019 1019 1019 1019 1019 1019 1019 1019 1019 1019 1019
## [1020,] 1020 1020 1020 1020 1020 1020 1020 1020 1020 1020 1020
## [1021,] 1021 1021 1021 1021 1021 1021 1021 1021 1021 1021 1021
## [1022,] 1022 1022 1022 1022 1022 1022 1022 1022 1022 1022 1022
## [1023,] 1023 1023 1023 1023 1023 1023 1023 1023 1023 1023 1023
## [1024,] 1024 1024 1024 1024 1024 1024 1024 1024 1024 1024 1024
## [1025,] 1025 1025 1025 1025 1025 1025 1025 1025 1025 1025 1025
## [1026,] 1026 1026 1026 1026 1026 1026 1026 1026 1026 1026 1026
## [1027,] 1027 1027 1027 1027 1027 1027 1027 1027 1027 1027 1027
## [1028,] 1028 1028 1028 1028 1028 1028 1028 1028 1028 1028 1028
## [1029,] 1029 1029 1029 1029 1029 1029 1029 1029 1029 1029 1029
## [1030,] 1030 1030 1030 1030 1030 1030 1030 1030 1030 1030 1030
## [1031,] 1031 1031 1031 1031 1031 1031 1031 1031 1031 1031 1031
## [1032,] 1032 1032 1032 1032 1032 1032 1032 1032 1032 1032 1032
## [1033,] 1033 1033 1033 1033 1033 1033 1033 1033 1033 1033 1033
## [1034,] 1034 1034 1034 1034 1034 1034 1034 1034 1034 1034 1034
## [1035,] 1035 1035 1035 1035 1035 1035 1035 1035 1035 1035 1035
## [1036,] 1036 1036 1036 1036 1036 1036 1036 1036 1036 1036 1036
## [1037,] 1037 1037 1037 1037 1037 1037 1037 1037 1037 1037 1037
## [1038,] 1038 1038 1038 1038 1038 1038 1038 1038 1038 1038 1038
## [1039,] 1039 1039 1039 1039 1039 1039 1039 1039 1039 1039 1039
## [1040,] 1040 1040 1040 1040 1040 1040 1040 1040 1040 1040 1040
## [1041,] 1041 1041 1041 1041 1041 1041 1041 1041 1041 1041 1041
## [1042,] 1042 1042 1042 1042 1042 1042 1042 1042 1042 1042 1042
## [1043,] 1043 1043 1043 1043 1043 1043 1043 1043 1043 1043 1043
## [1044,] 1044 1044 1044 1044 1044 1044 1044 1044 1044 1044 1044
## [1045,] 1045 1045 1045 1045 1045 1045 1045 1045 1045 1045 1045
## [1046,] 1046 1046 1046 1046 1046 1046 1046 1046 1046 1046 1046
## [1047,] 1047 1047 1047 1047 1047 1047 1047 1047 1047 1047 1047
## [1048,] 1048 1048 1048 1048 1048 1048 1048 1048 1048 1048 1048
## [1049,] 1049 1049 1049 1049 1049 1049 1049 1049 1049 1049 1049
## [1050,] 1050 1050 1050 1050 1050 1050 1050 1050 1050 1050 1050
## [1051,] 1051 1051 1051 1051 1051 1051 1051 1051 1051 1051 1051
## [1052,] 1052 1052 1052 1052 1052 1052 1052 1052 1052 1052 1052
## [1053,] 1053 1053 1053 1053 1053 1053 1053 1053 1053 1053 1053
## [1054,] 1054 1054 1054 1054 1054 1054 1054 1054 1054 1054 1054
## [1055,] 1055 1055 1055 1055 1055 1055 1055 1055 1055 1055 1055
## [1056,] 1056 1056 1056 1056 1056 1056 1056 1056 1056 1056 1056
## [1057,] 1057 1057 1057 1057 1057 1057 1057 1057 1057 1057 1057
## [1058,] 1058 1058 1058 1058 1058 1058 1058 1058 1058 1058 1058
## [1059,] 1059 1059 1059 1059 1059 1059 1059 1059 1059 1059 1059
## [1060,] 1060 1060 1060 1060 1060 1060 1060 1060 1060 1060 1060
## [1061,] 1061 1061 1061 1061 1061 1061 1061 1061 1061 1061 1061
## [1062,] 1062 1062 1062 1062 1062 1062 1062 1062 1062 1062 1062
## [1063,] 1063 1063 1063 1063 1063 1063 1063 1063 1063 1063 1063
## [1064,] 1064 1064 1064 1064 1064 1064 1064 1064 1064 1064 1064
## [1065,] 1065 1065 1065 1065 1065 1065 1065 1065 1065 1065 1065
## [1066,] 1066 1066 1066 1066 1066 1066 1066 1066 1066 1066 1066
## [1067,] 1067 1067 1067 1067 1067 1067 1067 1067 1067 1067 1067
## [1068,] 1068 1068 1068 1068 1068 1068 1068 1068 1068 1068 1068
## [1069,] 1069 1069 1069 1069 1069 1069 1069 1069 1069 1069 1069
## [1070,] 1070 1070 1070 1070 1070 1070 1070 1070 1070 1070 1070
## [1071,] 1071 1071 1071 1071 1071 1071 1071 1071 1071 1071 1071
## [1072,] 1072 1072 1072 1072 1072 1072 1072 1072 1072 1072 1072
## [1073,] 1073 1073 1073 1073 1073 1073 1073 1073 1073 1073 1073
## [1074,] 1074 1074 1074 1074 1074 1074 1074 1074 1074 1074 1074
## [1075,] 1075 1075 1075 1075 1075 1075 1075 1075 1075 1075 1075
## [1076,] 1076 1076 1076 1076 1076 1076 1076 1076 1076 1076 1076
## [1077,] 1077 1077 1077 1077 1077 1077 1077 1077 1077 1077 1077
## [1078,] 1078 1078 1078 1078 1078 1078 1078 1078 1078 1078 1078
## [1079,] 1079 1079 1079 1079 1079 1079 1079 1079 1079 1079 1079
## [1080,] 1080 1080 1080 1080 1080 1080 1080 1080 1080 1080 1080
## [1081,] 1081 1081 1081 1081 1081 1081 1081 1081 1081 1081 1081
## [1082,] 1082 1082 1082 1082 1082 1082 1082 1082 1082 1082 1082
## [1083,] 1083 1083 1083 1083 1083 1083 1083 1083 1083 1083 1083
## [1084,] 1084 1084 1084 1084 1084 1084 1084 1084 1084 1084 1084
## [1085,] 1085 1085 1085 1085 1085 1085 1085 1085 1085 1085 1085
## [1086,] 1086 1086 1086 1086 1086 1086 1086 1086 1086 1086 1086
## [1087,] 1087 1087 1087 1087 1087 1087 1087 1087 1087 1087 1087
## [1088,] 1088 1088 1088 1088 1088 1088 1088 1088 1088 1088 1088
## [1089,] 1089 1089 1089 1089 1089 1089 1089 1089 1089 1089 1089
## [1090,] 1090 1090 1090 1090 1090 1090 1090 1090 1090 1090 1090
## [1091,] 1091 1091 1091 1091 1091 1091 1091 1091 1091 1091 1091
## [1092,] 1092 1092 1092 1092 1092 1092 1092 1092 1092 1092 1092
## [1093,] 1093 1093 1093 1093 1093 1093 1093 1093 1093 1093 1093
## [1094,] 1094 1094 1094 1094 1094 1094 1094 1094 1094 1094 1094
## [1095,] 1095 1095 1095 1095 1095 1095 1095 1095 1095 1095 1095
## [1096,] 1096 1096 1096 1096 1096 1096 1096 1096 1096 1096 1096
## [1097,] 1097 1097 1097 1097 1097 1097 1097 1097 1097 1097 1097
## [1098,] 1098 1098 1098 1098 1098 1098 1098 1098 1098 1098 1098
## [1099,] 1099 1099 1099 1099 1099 1099 1099 1099 1099 1099 1099
## [1100,] 1100 1100 1100 1100 1100 1100 1100 1100 1100 1100 1100
## [1101,] 1101 1101 1101 1101 1101 1101 1101 1101 1101 1101 1101
## [1102,] 1102 1102 1102 1102 1102 1102 1102 1102 1102 1102 1102
## [1103,] 1103 1103 1103 1103 1103 1103 1103 1103 1103 1103 1103
## [1104,] 1104 1104 1104 1104 1104 1104 1104 1104 1104 1104 1104
## [1105,] 1105 1105 1105 1105 1105 1105 1105 1105 1105 1105 1105
## [1106,] 1106 1106 1106 1106 1106 1106 1106 1106 1106 1106 1106
## [1107,] 1107 1107 1107 1107 1107 1107 1107 1107 1107 1107 1107
## [1108,] 1108 1108 1108 1108 1108 1108 1108 1108 1108 1108 1108
## [1109,] 1109 1109 1109 1109 1109 1109 1109 1109 1109 1109 1109
## [1110,] 1110 1110 1110 1110 1110 1110 1110 1110 1110 1110 1110
## [1111,] 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111 1111
## [1112,] 1112 1112 1112 1112 1112 1112 1112 1112 1112 1112 1112
## [1113,] 1113 1113 1113 1113 1113 1113 1113 1113 1113 1113 1113
## [1114,] 1114 1114 1114 1114 1114 1114 1114 1114 1114 1114 1114
## [1115,] 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115
## [1116,] 1116 1116 1116 1116 1116 1116 1116 1116 1116 1116 1116
## [1117,] 1117 1117 1117 1117 1117 1117 1117 1117 1117 1117 1117
## [1118,] 1118 1118 1118 1118 1118 1118 1118 1118 1118 1118 1118
## [1119,] 1119 1119 1119 1119 1119 1119 1119 1119 1119 1119 1119
## [1120,] 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120 1120
## [1121,] 1121 1121 1121 1121 1121 1121 1121 1121 1121 1121 1121
## [1122,] 1122 1122 1122 1122 1122 1122 1122 1122 1122 1122 1122
## [1123,] 1123 1123 1123 1123 1123 1123 1123 1123 1123 1123 1123
## [1124,] 1124 1124 1124 1124 1124 1124 1124 1124 1124 1124 1124
## [1125,] 1125 1125 1125 1125 1125 1125 1125 1125 1125 1125 1125
## [1126,] 1126 1126 1126 1126 1126 1126 1126 1126 1126 1126 1126
## [1127,] 1127 1127 1127 1127 1127 1127 1127 1127 1127 1127 1127
## [1128,] 1128 1128 1128 1128 1128 1128 1128 1128 1128 1128 1128
## [1129,] 1129 1129 1129 1129 1129 1129 1129 1129 1129 1129 1129
## [1130,] 1130 1130 1130 1130 1130 1130 1130 1130 1130 1130 1130
## [1131,] 1131 1131 1131 1131 1131 1131 1131 1131 1131 1131 1131
## [1132,] 1132 1132 1132 1132 1132 1132 1132 1132 1132 1132 1132
## [1133,] 1133 1133 1133 1133 1133 1133 1133 1133 1133 1133 1133
## [1134,] 1134 1134 1134 1134 1134 1134 1134 1134 1134 1134 1134
## [1135,] 1135 1135 1135 1135 1135 1135 1135 1135 1135 1135 1135
## [1136,] 1136 1136 1136 1136 1136 1136 1136 1136 1136 1136 1136
## [1137,] 1137 1137 1137 1137 1137 1137 1137 1137 1137 1137 1137
## [1138,] 1138 1138 1138 1138 1138 1138 1138 1138 1138 1138 1138
## [1139,] 1139 1139 1139 1139 1139 1139 1139 1139 1139 1139 1139
## [1140,] 1140 1140 1140 1140 1140 1140 1140 1140 1140 1140 1140
## [1141,] 1141 1141 1141 1141 1141 1141 1141 1141 1141 1141 1141
## [1142,] 1142 1142 1142 1142 1142 1142 1142 1142 1142 1142 1142
## [1143,] 1143 1143 1143 1143 1143 1143 1143 1143 1143 1143 1143
## [1144,] 1144 1144 1144 1144 1144 1144 1144 1144 1144 1144 1144
## [1145,] 1145 1145 1145 1145 1145 1145 1145 1145 1145 1145 1145
## [1146,] 1146 1146 1146 1146 1146 1146 1146 1146 1146 1146 1146
## [1147,] 1147 1147 1147 1147 1147 1147 1147 1147 1147 1147 1147
## [1148,] 1148 1148 1148 1148 1148 1148 1148 1148 1148 1148 1148
## [1149,] 1149 1149 1149 1149 1149 1149 1149 1149 1149 1149 1149
## [1150,] 1150 1150 1150 1150 1150 1150 1150 1150 1150 1150 1150
## [1151,] 1151 1151 1151 1151 1151 1151 1151 1151 1151 1151 1151
## [1152,] 1152 1152 1152 1152 1152 1152 1152 1152 1152 1152 1152
## [1153,] 1153 1153 1153 1153 1153 1153 1153 1153 1153 1153 1153
## [1154,] 1154 1154 1154 1154 1154 1154 1154 1154 1154 1154 1154
## [1155,] 1155 1155 1155 1155 1155 1155 1155 1155 1155 1155 1155
## [1156,] 1156 1156 1156 1156 1156 1156 1156 1156 1156 1156 1156
## [1157,] 1157 1157 1157 1157 1157 1157 1157 1157 1157 1157 1157
## [1158,] 1158 1158 1158 1158 1158 1158 1158 1158 1158 1158 1158
## [1159,] 1159 1159 1159 1159 1159 1159 1159 1159 1159 1159 1159
## [1160,] 1160 1160 1160 1160 1160 1160 1160 1160 1160 1160 1160
## [1161,] 1161 1161 1161 1161 1161 1161 1161 1161 1161 1161 1161
## [1162,] 1162 1162 1162 1162 1162 1162 1162 1162 1162 1162 1162
## [1163,] 1163 1163 1163 1163 1163 1163 1163 1163 1163 1163 1163
## [1164,] 1164 1164 1164 1164 1164 1164 1164 1164 1164 1164 1164
## [1165,] 1165 1165 1165 1165 1165 1165 1165 1165 1165 1165 1165
## [1166,] 1166 1166 1166 1166 1166 1166 1166 1166 1166 1166 1166
## [1167,] 1167 1167 1167 1167 1167 1167 1167 1167 1167 1167 1167
## [1168,] 1168 1168 1168 1168 1168 1168 1168 1168 1168 1168 1168
## [1169,] 1169 1169 1169 1169 1169 1169 1169 1169 1169 1169 1169
## [1170,] 1170 1170 1170 1170 1170 1170 1170 1170 1170 1170 1170
## [1171,] 1171 1171 1171 1171 1171 1171 1171 1171 1171 1171 1171
## [1172,] 1172 1172 1172 1172 1172 1172 1172 1172 1172 1172 1172
## [1173,] 1173 1173 1173 1173 1173 1173 1173 1173 1173 1173 1173
## [1174,] 1174 1174 1174 1174 1174 1174 1174 1174 1174 1174 1174
## [1175,] 1175 1175 1175 1175 1175 1175 1175 1175 1175 1175 1175
## [1176,] 1176 1176 1176 1176 1176 1176 1176 1176 1176 1176 1176
## [1177,] 1177 1177 1177 1177 1177 1177 1177 1177 1177 1177 1177
## [1178,] 1178 1178 1178 1178 1178 1178 1178 1178 1178 1178 1178
## [1179,] 1179 1179 1179 1179 1179 1179 1179 1179 1179 1179 1179
## [1180,] 1180 1180 1180 1180 1180 1180 1180 1180 1180 1180 1180
## [1181,] 1181 1181 1181 1181 1181 1181 1181 1181 1181 1181 1181
## [1182,] 1182 1182 1182 1182 1182 1182 1182 1182 1182 1182 1182
## [1183,] 1183 1183 1183 1183 1183 1183 1183 1183 1183 1183 1183
## [1184,] 1184 1184 1184 1184 1184 1184 1184 1184 1184 1184 1184
## [1185,] 1185 1185 1185 1185 1185 1185 1185 1185 1185 1185 1185
## [1186,] 1186 1186 1186 1186 1186 1186 1186 1186 1186 1186 1186
## [1187,] 1187 1187 1187 1187 1187 1187 1187 1187 1187 1187 1187
## [1188,] 1188 1188 1188 1188 1188 1188 1188 1188 1188 1188 1188
## [1189,] 1189 1189 1189 1189 1189 1189 1189 1189 1189 1189 1189
## [1190,] 1190 1190 1190 1190 1190 1190 1190 1190 1190 1190 1190
## [1191,] 1191 1191 1191 1191 1191 1191 1191 1191 1191 1191 1191
## [1192,] 1192 1192 1192 1192 1192 1192 1192 1192 1192 1192 1192
## [1193,] 1193 1193 1193 1193 1193 1193 1193 1193 1193 1193 1193
## [1194,] 1194 1194 1194 1194 1194 1194 1194 1194 1194 1194 1194
## [1195,] 1195 1195 1195 1195 1195 1195 1195 1195 1195 1195 1195
## [1196,] 1196 1196 1196 1196 1196 1196 1196 1196 1196 1196 1196
## [1197,] 1197 1197 1197 1197 1197 1197 1197 1197 1197 1197 1197
## [1198,] 1198 1198 1198 1198 1198 1198 1198 1198 1198 1198 1198
## [1199,] 1199 1199 1199 1199 1199 1199 1199 1199 1199 1199 1199
## [1200,] 1200 1200 1200 1200 1200 1200 1200 1200 1200 1200 1200
## [1201,] 1201 1201 1201 1201 1201 1201 1201 1201 1201 1201 1201
## [1202,] 1202 1202 1202 1202 1202 1202 1202 1202 1202 1202 1202
## [1203,] 1203 1203 1203 1203 1203 1203 1203 1203 1203 1203 1203
## [1204,] 1204 1204 1204 1204 1204 1204 1204 1204 1204 1204 1204
## [1205,] 1205 1205 1205 1205 1205 1205 1205 1205 1205 1205 1205
## [1206,] 1206 1206 1206 1206 1206 1206 1206 1206 1206 1206 1206
## [1207,] 1207 1207 1207 1207 1207 1207 1207 1207 1207 1207 1207
## [1208,] 1208 1208 1208 1208 1208 1208 1208 1208 1208 1208 1208
## [1209,] 1209 1209 1209 1209 1209 1209 1209 1209 1209 1209 1209
## [1210,] 1210 1210 1210 1210 1210 1210 1210 1210 1210 1210 1210
## [1211,] 1211 1211 1211 1211 1211 1211 1211 1211 1211 1211 1211
## [1212,] 1212 1212 1212 1212 1212 1212 1212 1212 1212 1212 1212
## [1213,] 1213 1213 1213 1213 1213 1213 1213 1213 1213 1213 1213
## [1214,] 1214 1214 1214 1214 1214 1214 1214 1214 1214 1214 1214
## [1215,] 1215 1215 1215 1215 1215 1215 1215 1215 1215 1215 1215
## [1216,] 1216 1216 1216 1216 1216 1216 1216 1216 1216 1216 1216
## [1217,] 1217 1217 1217 1217 1217 1217 1217 1217 1217 1217 1217
## [1218,] 1218 1218 1218 1218 1218 1218 1218 1218 1218 1218 1218
## [1219,] 1219 1219 1219 1219 1219 1219 1219 1219 1219 1219 1219
## [1220,] 1220 1220 1220 1220 1220 1220 1220 1220 1220 1220 1220
## [1221,] 1221 1221 1221 1221 1221 1221 1221 1221 1221 1221 1221
## [1222,] 1222 1222 1222 1222 1222 1222 1222 1222 1222 1222 1222
## [1223,] 1223 1223 1223 1223 1223 1223 1223 1223 1223 1223 1223
## [1224,] 1224 1224 1224 1224 1224 1224 1224 1224 1224 1224 1224
## [1225,] 1225 1225 1225 1225 1225 1225 1225 1225 1225 1225 1225
## [1226,] 1226 1226 1226 1226 1226 1226 1226 1226 1226 1226 1226
## [1227,] 1227 1227 1227 1227 1227 1227 1227 1227 1227 1227 1227
## [1228,] 1228 1228 1228 1228 1228 1228 1228 1228 1228 1228 1228
## [1229,] 1229 1229 1229 1229 1229 1229 1229 1229 1229 1229 1229
## [1230,] 1230 1230 1230 1230 1230 1230 1230 1230 1230 1230 1230
## [1231,] 1231 1231 1231 1231 1231 1231 1231 1231 1231 1231 1231
## [1232,] 1232 1232 1232 1232 1232 1232 1232 1232 1232 1232 1232
## [1233,] 1233 1233 1233 1233 1233 1233 1233 1233 1233 1233 1233
## [1234,] 1234 1234 1234 1234 1234 1234 1234 1234 1234 1234 1234
## [1235,] 1235 1235 1235 1235 1235 1235 1235 1235 1235 1235 1235
## [1236,] 1236 1236 1236 1236 1236 1236 1236 1236 1236 1236 1236
## [1237,] 1237 1237 1237 1237 1237 1237 1237 1237 1237 1237 1237
## [1238,] 1238 1238 1238 1238 1238 1238 1238 1238 1238 1238 1238
## [1239,] 1239 1239 1239 1239 1239 1239 1239 1239 1239 1239 1239
## [1240,] 1240 1240 1240 1240 1240 1240 1240 1240 1240 1240 1240
## [1241,] 1241 1241 1241 1241 1241 1241 1241 1241 1241 1241 1241
## [1242,] 1242 1242 1242 1242 1242 1242 1242 1242 1242 1242 1242
## [1243,] 1243 1243 1243 1243 1243 1243 1243 1243 1243 1243 1243
## [1244,] 1244 1244 1244 1244 1244 1244 1244 1244 1244 1244 1244
## [1245,] 1245 1245 1245 1245 1245 1245 1245 1245 1245 1245 1245
## [1246,] 1246 1246 1246 1246 1246 1246 1246 1246 1246 1246 1246
## [1247,] 1247 1247 1247 1247 1247 1247 1247 1247 1247 1247 1247
## [1248,] 1248 1248 1248 1248 1248 1248 1248 1248 1248 1248 1248
## [1249,] 1249 1249 1249 1249 1249 1249 1249 1249 1249 1249 1249
## [1250,] 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250 1250
## [1251,] 1251 1251 1251 1251 1251 1251 1251 1251 1251 1251 1251
## [1252,] 1252 1252 1252 1252 1252 1252 1252 1252 1252 1252 1252
## [1253,] 1253 1253 1253 1253 1253 1253 1253 1253 1253 1253 1253
## [1254,] 1254 1254 1254 1254 1254 1254 1254 1254 1254 1254 1254
## [1255,] 1255 1255 1255 1255 1255 1255 1255 1255 1255 1255 1255
## [1256,] 1256 1256 1256 1256 1256 1256 1256 1256 1256 1256 1256
## [1257,] 1257 1257 1257 1257 1257 1257 1257 1257 1257 1257 1257
## [1258,] 1258 1258 1258 1258 1258 1258 1258 1258 1258 1258 1258
## [1259,] 1259 1259 1259 1259 1259 1259 1259 1259 1259 1259 1259
## [1260,] 1260 1260 1260 1260 1260 1260 1260 1260 1260 1260 1260
## [1261,] 1261 1261 1261 1261 1261 1261 1261 1261 1261 1261 1261
## [1262,] 1262 1262 1262 1262 1262 1262 1262 1262 1262 1262 1262
## [1263,] 1263 1263 1263 1263 1263 1263 1263 1263 1263 1263 1263
## [1264,] 1264 1264 1264 1264 1264 1264 1264 1264 1264 1264 1264
## [1265,] 1265 1265 1265 1265 1265 1265 1265 1265 1265 1265 1265
## [1266,] 1266 1266 1266 1266 1266 1266 1266 1266 1266 1266 1266
## [1267,] 1267 1267 1267 1267 1267 1267 1267 1267 1267 1267 1267
## [1268,] 1268 1268 1268 1268 1268 1268 1268 1268 1268 1268 1268
## [1269,] 1269 1269 1269 1269 1269 1269 1269 1269 1269 1269 1269
## [1270,] 1270 1270 1270 1270 1270 1270 1270 1270 1270 1270 1270
## [1271,] 1271 1271 1271 1271 1271 1271 1271 1271 1271 1271 1271
## [1272,] 1272 1272 1272 1272 1272 1272 1272 1272 1272 1272 1272
## [1273,] 1273 1273 1273 1273 1273 1273 1273 1273 1273 1273 1273
## [1274,] 1274 1274 1274 1274 1274 1274 1274 1274 1274 1274 1274
## [1275,] 1275 1275 1275 1275 1275 1275 1275 1275 1275 1275 1275
## [1276,] 1276 1276 1276 1276 1276 1276 1276 1276 1276 1276 1276
## [1277,] 1277 1277 1277 1277 1277 1277 1277 1277 1277 1277 1277
## [1278,] 1278 1278 1278 1278 1278 1278 1278 1278 1278 1278 1278
## [1279,] 1279 1279 1279 1279 1279 1279 1279 1279 1279 1279 1279
## [1280,] 1280 1280 1280 1280 1280 1280 1280 1280 1280 1280 1280
## [1281,] 1281 1281 1281 1281 1281 1281 1281 1281 1281 1281 1281
## [1282,] 1282 1282 1282 1282 1282 1282 1282 1282 1282 1282 1282
## [1283,] 1283 1283 1283 1283 1283 1283 1283 1283 1283 1283 1283
## [1284,] 1284 1284 1284 1284 1284 1284 1284 1284 1284 1284 1284
## [1285,] 1285 1285 1285 1285 1285 1285 1285 1285 1285 1285 1285
## [1286,] 1286 1286 1286 1286 1286 1286 1286 1286 1286 1286 1286
## [1287,] 1287 1287 1287 1287 1287 1287 1287 1287 1287 1287 1287
## [1288,] 1288 1288 1288 1288 1288 1288 1288 1288 1288 1288 1288
## [1289,] 1289 1289 1289 1289 1289 1289 1289 1289 1289 1289 1289
## [1290,] 1290 1290 1290 1290 1290 1290 1290 1290 1290 1290 1290
## [1291,] 1291 1291 1291 1291 1291 1291 1291 1291 1291 1291 1291
## [1292,] 1292 1292 1292 1292 1292 1292 1292 1292 1292 1292 1292
## [1293,] 1293 1293 1293 1293 1293 1293 1293 1293 1293 1293 1293
## [1294,] 1294 1294 1294 1294 1294 1294 1294 1294 1294 1294 1294
## [1295,] 1295 1295 1295 1295 1295 1295 1295 1295 1295 1295 1295
## [1296,] 1296 1296 1296 1296 1296 1296 1296 1296 1296 1296 1296
## [1297,] 1297 1297 1297 1297 1297 1297 1297 1297 1297 1297 1297
## [1298,] 1298 1298 1298 1298 1298 1298 1298 1298 1298 1298 1298
## [1299,] 1299 1299 1299 1299 1299 1299 1299 1299 1299 1299 1299
## [1300,] 1300 1300 1300 1300 1300 1300 1300 1300 1300 1300 1300
## [1301,] 1301 1301 1301 1301 1301 1301 1301 1301 1301 1301 1301
## [1302,] 1302 1302 1302 1302 1302 1302 1302 1302 1302 1302 1302
## [1303,] 1303 1303 1303 1303 1303 1303 1303 1303 1303 1303 1303
## [1304,] 1304 1304 1304 1304 1304 1304 1304 1304 1304 1304 1304
## [1305,] 1305 1305 1305 1305 1305 1305 1305 1305 1305 1305 1305
## [1306,] 1306 1306 1306 1306 1306 1306 1306 1306 1306 1306 1306
## [1307,] 1307 1307 1307 1307 1307 1307 1307 1307 1307 1307 1307
## [1308,] 1308 1308 1308 1308 1308 1308 1308 1308 1308 1308 1308
## [1309,] 1309 1309 1309 1309 1309 1309 1309 1309 1309 1309 1309
## [1310,] 1310 1310 1310 1310 1310 1310 1310 1310 1310 1310 1310
## [1311,] 1311 1311 1311 1311 1311 1311 1311 1311 1311 1311 1311
## [1312,] 1312 1312 1312 1312 1312 1312 1312 1312 1312 1312 1312
## [1313,] 1313 1313 1313 1313 1313 1313 1313 1313 1313 1313 1313
## [1314,] 1314 1314 1314 1314 1314 1314 1314 1314 1314 1314 1314
## [1315,] 1315 1315 1315 1315 1315 1315 1315 1315 1315 1315 1315
## [1316,] 1316 1316 1316 1316 1316 1316 1316 1316 1316 1316 1316
## [1317,] 1317 1317 1317 1317 1317 1317 1317 1317 1317 1317 1317
## [1318,] 1318 1318 1318 1318 1318 1318 1318 1318 1318 1318 1318
## [1319,] 1319 1319 1319 1319 1319 1319 1319 1319 1319 1319 1319
## [1320,] 1320 1320 1320 1320 1320 1320 1320 1320 1320 1320 1320
## [1321,] 1321 1321 1321 1321 1321 1321 1321 1321 1321 1321 1321
## [1322,] 1322 1322 1322 1322 1322 1322 1322 1322 1322 1322 1322
## [1323,] 1323 1323 1323 1323 1323 1323 1323 1323 1323 1323 1323
## [1324,] 1324 1324 1324 1324 1324 1324 1324 1324 1324 1324 1324
## [1325,] 1325 1325 1325 1325 1325 1325 1325 1325 1325 1325 1325
## [1326,] 1326 1326 1326 1326 1326 1326 1326 1326 1326 1326 1326
## [1327,] 1327 1327 1327 1327 1327 1327 1327 1327 1327 1327 1327
## [1328,] 1328 1328 1328 1328 1328 1328 1328 1328 1328 1328 1328
## [1329,] 1329 1329 1329 1329 1329 1329 1329 1329 1329 1329 1329
## [1330,] 1330 1330 1330 1330 1330 1330 1330 1330 1330 1330 1330
## [1331,] 1331 1331 1331 1331 1331 1331 1331 1331 1331 1331 1331
## [1332,] 1332 1332 1332 1332 1332 1332 1332 1332 1332 1332 1332
## [1333,] 1333 1333 1333 1333 1333 1333 1333 1333 1333 1333 1333
## [1334,] 1334 1334 1334 1334 1334 1334 1334 1334 1334 1334 1334
## [1335,] 1335 1335 1335 1335 1335 1335 1335 1335 1335 1335 1335
## [1336,] 1336 1336 1336 1336 1336 1336 1336 1336 1336 1336 1336
## [1337,] 1337 1337 1337 1337 1337 1337 1337 1337 1337 1337 1337
## [1338,] 1338 1338 1338 1338 1338 1338 1338 1338 1338 1338 1338
## [1339,] 1339 1339 1339 1339 1339 1339 1339 1339 1339 1339 1339
## [1340,] 1340 1340 1340 1340 1340 1340 1340 1340 1340 1340 1340
## [1341,] 1341 1341 1341 1341 1341 1341 1341 1341 1341 1341 1341
## [1342,] 1342 1342 1342 1342 1342 1342 1342 1342 1342 1342 1342
## [1343,] 1343 1343 1343 1343 1343 1343 1343 1343 1343 1343 1343
## [1344,] 1344 1344 1344 1344 1344 1344 1344 1344 1344 1344 1344
## [1345,] 1345 1345 1345 1345 1345 1345 1345 1345 1345 1345 1345
## [1346,] 1346 1346 1346 1346 1346 1346 1346 1346 1346 1346 1346
## [1347,] 1347 1347 1347 1347 1347 1347 1347 1347 1347 1347 1347
## [1348,] 1348 1348 1348 1348 1348 1348 1348 1348 1348 1348 1348
## [1349,] 1349 1349 1349 1349 1349 1349 1349 1349 1349 1349 1349
## [1350,] 1350 1350 1350 1350 1350 1350 1350 1350 1350 1350 1350
## [1351,] 1351 1351 1351 1351 1351 1351 1351 1351 1351 1351 1351
## [1352,] 1352 1352 1352 1352 1352 1352 1352 1352 1352 1352 1352
## [1353,] 1353 1353 1353 1353 1353 1353 1353 1353 1353 1353 1353
## [1354,] 1354 1354 1354 1354 1354 1354 1354 1354 1354 1354 1354
## [1355,] 1355 1355 1355 1355 1355 1355 1355 1355 1355 1355 1355
## [1356,] 1356 1356 1356 1356 1356 1356 1356 1356 1356 1356 1356
## [1357,] 1357 1357 1357 1357 1357 1357 1357 1357 1357 1357 1357
## [1358,] 1358 1358 1358 1358 1358 1358 1358 1358 1358 1358 1358
## [1359,] 1359 1359 1359 1359 1359 1359 1359 1359 1359 1359 1359
## [1360,] 1360 1360 1360 1360 1360 1360 1360 1360 1360 1360 1360
## [1361,] 1361 1361 1361 1361 1361 1361 1361 1361 1361 1361 1361
## [1362,] 1362 1362 1362 1362 1362 1362 1362 1362 1362 1362 1362
## [1363,] 1363 1363 1363 1363 1363 1363 1363 1363 1363 1363 1363
## [1364,] 1364 1364 1364 1364 1364 1364 1364 1364 1364 1364 1364
## [1365,] 1365 1365 1365 1365 1365 1365 1365 1365 1365 1365 1365
## [1366,] 1366 1366 1366 1366 1366 1366 1366 1366 1366 1366 1366
## [1367,] 1367 1367 1367 1367 1367 1367 1367 1367 1367 1367 1367
## [1368,] 1368 1368 1368 1368 1368 1368 1368 1368 1368 1368 1368
## [1369,] 1369 1369 1369 1369 1369 1369 1369 1369 1369 1369 1369
## [1370,] 1370 1370 1370 1370 1370 1370 1370 1370 1370 1370 1370
## [1371,] 1371 1371 1371 1371 1371 1371 1371 1371 1371 1371 1371
## [1372,] 1372 1372 1372 1372 1372 1372 1372 1372 1372 1372 1372
## [1373,] 1373 1373 1373 1373 1373 1373 1373 1373 1373 1373 1373
## [1374,] 1374 1374 1374 1374 1374 1374 1374 1374 1374 1374 1374
## [1375,] 1375 1375 1375 1375 1375 1375 1375 1375 1375 1375 1375
## [1376,] 1376 1376 1376 1376 1376 1376 1376 1376 1376 1376 1376
## [1377,] 1377 1377 1377 1377 1377 1377 1377 1377 1377 1377 1377
## [1378,] 1378 1378 1378 1378 1378 1378 1378 1378 1378 1378 1378
## [1379,] 1379 1379 1379 1379 1379 1379 1379 1379 1379 1379 1379
## [1380,] 1380 1380 1380 1380 1380 1380 1380 1380 1380 1380 1380
## [1381,] 1381 1381 1381 1381 1381 1381 1381 1381 1381 1381 1381
## [1382,] 1382 1382 1382 1382 1382 1382 1382 1382 1382 1382 1382
## [1383,] 1383 1383 1383 1383 1383 1383 1383 1383 1383 1383 1383
## [1384,] 1384 1384 1384 1384 1384 1384 1384 1384 1384 1384 1384
## [1385,] 1385 1385 1385 1385 1385 1385 1385 1385 1385 1385 1385
## [1386,] 1386 1386 1386 1386 1386 1386 1386 1386 1386 1386 1386
## [1387,] 1387 1387 1387 1387 1387 1387 1387 1387 1387 1387 1387
## [1388,] 1388 1388 1388 1388 1388 1388 1388 1388 1388 1388 1388
## [1389,] 1389 1389 1389 1389 1389 1389 1389 1389 1389 1389 1389
## [1390,] 1390 1390 1390 1390 1390 1390 1390 1390 1390 1390 1390
## [1391,] 1391 1391 1391 1391 1391 1391 1391 1391 1391 1391 1391
## [1392,] 1392 1392 1392 1392 1392 1392 1392 1392 1392 1392 1392
## [1393,] 1393 1393 1393 1393 1393 1393 1393 1393 1393 1393 1393
## [1394,] 1394 1394 1394 1394 1394 1394 1394 1394 1394 1394 1394
## [1395,] 1395 1395 1395 1395 1395 1395 1395 1395 1395 1395 1395
## [1396,] 1396 1396 1396 1396 1396 1396 1396 1396 1396 1396 1396
## [1397,] 1397 1397 1397 1397 1397 1397 1397 1397 1397 1397 1397
## [1398,] 1398 1398 1398 1398 1398 1398 1398 1398 1398 1398 1398
## [1399,] 1399 1399 1399 1399 1399 1399 1399 1399 1399 1399 1399
## [1400,] 1400 1400 1400 1400 1400 1400 1400 1400 1400 1400 1400
## [1401,] 1401 1401 1401 1401 1401 1401 1401 1401 1401 1401 1401
## [1402,] 1402 1402 1402 1402 1402 1402 1402 1402 1402 1402 1402
## [1403,] 1403 1403 1403 1403 1403 1403 1403 1403 1403 1403 1403
## [1404,] 1404 1404 1404 1404 1404 1404 1404 1404 1404 1404 1404
## [1405,] 1405 1405 1405 1405 1405 1405 1405 1405 1405 1405 1405
## [1406,] 1406 1406 1406 1406 1406 1406 1406 1406 1406 1406 1406
## [1407,] 1407 1407 1407 1407 1407 1407 1407 1407 1407 1407 1407
## [1408,] 1408 1408 1408 1408 1408 1408 1408 1408 1408 1408 1408
## [1409,] 1409 1409 1409 1409 1409 1409 1409 1409 1409 1409 1409
## [1410,] 1410 1410 1410 1410 1410 1410 1410 1410 1410 1410 1410
## [1411,] 1411 1411 1411 1411 1411 1411 1411 1411 1411 1411 1411
## [1412,] 1412 1412 1412 1412 1412 1412 1412 1412 1412 1412 1412
## [1413,] 1413 1413 1413 1413 1413 1413 1413 1413 1413 1413 1413
## [1414,] 1414 1414 1414 1414 1414 1414 1414 1414 1414 1414 1414
## [1415,] 1415 1415 1415 1415 1415 1415 1415 1415 1415 1415 1415
## [1416,] 1416 1416 1416 1416 1416 1416 1416 1416 1416 1416 1416
## [1417,] 1417 1417 1417 1417 1417 1417 1417 1417 1417 1417 1417
## [1418,] 1418 1418 1418 1418 1418 1418 1418 1418 1418 1418 1418
## [1419,] 1419 1419 1419 1419 1419 1419 1419 1419 1419 1419 1419
## [1420,] 1420 1420 1420 1420 1420 1420 1420 1420 1420 1420 1420
## [1421,] 1421 1421 1421 1421 1421 1421 1421 1421 1421 1421 1421
## [1422,] 1422 1422 1422 1422 1422 1422 1422 1422 1422 1422 1422
## [1423,] 1423 1423 1423 1423 1423 1423 1423 1423 1423 1423 1423
## [1424,] 1424 1424 1424 1424 1424 1424 1424 1424 1424 1424 1424
## [1425,] 1425 1425 1425 1425 1425 1425 1425 1425 1425 1425 1425
## [1426,] 1426 1426 1426 1426 1426 1426 1426 1426 1426 1426 1426
## [1427,] 1427 1427 1427 1427 1427 1427 1427 1427 1427 1427 1427
## [1428,] 1428 1428 1428 1428 1428 1428 1428 1428 1428 1428 1428
## [1429,] 1429 1429 1429 1429 1429 1429 1429 1429 1429 1429 1429
## [1430,] 1430 1430 1430 1430 1430 1430 1430 1430 1430 1430 1430
## [1431,] 1431 1431 1431 1431 1431 1431 1431 1431 1431 1431 1431
## [1432,] 1432 1432 1432 1432 1432 1432 1432 1432 1432 1432 1432
## [1433,] 1433 1433 1433 1433 1433 1433 1433 1433 1433 1433 1433
## [1434,] 1434 1434 1434 1434 1434 1434 1434 1434 1434 1434 1434
## [1435,] 1435 1435 1435 1435 1435 1435 1435 1435 1435 1435 1435
## [1436,] 1436 1436 1436 1436 1436 1436 1436 1436 1436 1436 1436
## [1437,] 1437 1437 1437 1437 1437 1437 1437 1437 1437 1437 1437
## [1438,] 1438 1438 1438 1438 1438 1438 1438 1438 1438 1438 1438
## [1439,] 1439 1439 1439 1439 1439 1439 1439 1439 1439 1439 1439
## [1440,] 1440 1440 1440 1440 1440 1440 1440 1440 1440 1440 1440
## [1441,] 1441 1441 1441 1441 1441 1441 1441 1441 1441 1441 1441
## [1442,] 1442 1442 1442 1442 1442 1442 1442 1442 1442 1442 1442
## [1443,] 1443 1443 1443 1443 1443 1443 1443 1443 1443 1443 1443
## [1444,] 1444 1444 1444 1444 1444 1444 1444 1444 1444 1444 1444
## [1445,] 1445 1445 1445 1445 1445 1445 1445 1445 1445 1445 1445
## [1446,] 1446 1446 1446 1446 1446 1446 1446 1446 1446 1446 1446
## [1447,] 1447 1447 1447 1447 1447 1447 1447 1447 1447 1447 1447
## [1448,] 1448 1448 1448 1448 1448 1448 1448 1448 1448 1448 1448
## [1449,] 1449 1449 1449 1449 1449 1449 1449 1449 1449 1449 1449
## [1450,] 1450 1450 1450 1450 1450 1450 1450 1450 1450 1450 1450
## [1451,] 1451 1451 1451 1451 1451 1451 1451 1451 1451 1451 1451
## [1452,] 1452 1452 1452 1452 1452 1452 1452 1452 1452 1452 1452
## [1453,] 1453 1453 1453 1453 1453 1453 1453 1453 1453 1453 1453
## [1454,] 1454 1454 1454 1454 1454 1454 1454 1454 1454 1454 1454
## [1455,] 1455 1455 1455 1455 1455 1455 1455 1455 1455 1455 1455
## [1456,] 1456 1456 1456 1456 1456 1456 1456 1456 1456 1456 1456
## [1457,] 1457 1457 1457 1457 1457 1457 1457 1457 1457 1457 1457
## [1458,] 1458 1458 1458 1458 1458 1458 1458 1458 1458 1458 1458
## [1459,] 1459 1459 1459 1459 1459 1459 1459 1459 1459 1459 1459
## [1460,] 1460 1460 1460 1460 1460 1460 1460 1460 1460 1460 1460
## [1461,] 1461 1461 1461 1461 1461 1461 1461 1461 1461 1461 1461
## [1462,] 1462 1462 1462 1462 1462 1462 1462 1462 1462 1462 1462
## [1463,] 1463 1463 1463 1463 1463 1463 1463 1463 1463 1463 1463
## [1464,] 1464 1464 1464 1464 1464 1464 1464 1464 1464 1464 1464
## [1465,] 1465 1465 1465 1465 1465 1465 1465 1465 1465 1465 1465
## [1466,] 1466 1466 1466 1466 1466 1466 1466 1466 1466 1466 1466
## [1467,] 1467 1467 1467 1467 1467 1467 1467 1467 1467 1467 1467
## [1468,] 1468 1468 1468 1468 1468 1468 1468 1468 1468 1468 1468
## [1469,] 1469 1469 1469 1469 1469 1469 1469 1469 1469 1469 1469
## [1470,] 1470 1470 1470 1470 1470 1470 1470 1470 1470 1470 1470
## [1471,] 1471 1471 1471 1471 1471 1471 1471 1471 1471 1471 1471
## [1472,] 1472 1472 1472 1472 1472 1472 1472 1472 1472 1472 1472
## [1473,] 1473 1473 1473 1473 1473 1473 1473 1473 1473 1473 1473
## [1474,] 1474 1474 1474 1474 1474 1474 1474 1474 1474 1474 1474
## [1475,] 1475 1475 1475 1475 1475 1475 1475 1475 1475 1475 1475
## [1476,] 1476 1476 1476 1476 1476 1476 1476 1476 1476 1476 1476
## [1477,] 1477 1477 1477 1477 1477 1477 1477 1477 1477 1477 1477
## [1478,] 1478 1478 1478 1478 1478 1478 1478 1478 1478 1478 1478
## [1479,] 1479 1479 1479 1479 1479 1479 1479 1479 1479 1479 1479
## [1480,] 1480 1480 1480 1480 1480 1480 1480 1480 1480 1480 1480
## [1481,] 1481 1481 1481 1481 1481 1481 1481 1481 1481 1481 1481
## [1482,] 1482 1482 1482 1482 1482 1482 1482 1482 1482 1482 1482
## [1483,] 1483 1483 1483 1483 1483 1483 1483 1483 1483 1483 1483
## [1484,] 1484 1484 1484 1484 1484 1484 1484 1484 1484 1484 1484
## [1485,] 1485 1485 1485 1485 1485 1485 1485 1485 1485 1485 1485
## [1486,] 1486 1486 1486 1486 1486 1486 1486 1486 1486 1486 1486
## [1487,] 1487 1487 1487 1487 1487 1487 1487 1487 1487 1487 1487
## [1488,] 1488 1488 1488 1488 1488 1488 1488 1488 1488 1488 1488
## [1489,] 1489 1489 1489 1489 1489 1489 1489 1489 1489 1489 1489
## [1490,] 1490 1490 1490 1490 1490 1490 1490 1490 1490 1490 1490
## [1491,] 1491 1491 1491 1491 1491 1491 1491 1491 1491 1491 1491
## [1492,] 1492 1492 1492 1492 1492 1492 1492 1492 1492 1492 1492
## [1493,] 1493 1493 1493 1493 1493 1493 1493 1493 1493 1493 1493
## [1494,] 1494 1494 1494 1494 1494 1494 1494 1494 1494 1494 1494
## [1495,] 1495 1495 1495 1495 1495 1495 1495 1495 1495 1495 1495
## [1496,] 1496 1496 1496 1496 1496 1496 1496 1496 1496 1496 1496
## [1497,] 1497 1497 1497 1497 1497 1497 1497 1497 1497 1497 1497
## [1498,] 1498 1498 1498 1498 1498 1498 1498 1498 1498 1498 1498
## [1499,] 1499 1499 1499 1499 1499 1499 1499 1499 1499 1499 1499
## [1500,] 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500 1500
## [1501,] 1501 1501 1501 1501 1501 1501 1501 1501 1501 1501 1501
## [1502,] 1502 1502 1502 1502 1502 1502 1502 1502 1502 1502 1502
## [1503,] 1503 1503 1503 1503 1503 1503 1503 1503 1503 1503 1503
## [1504,] 1504 1504 1504 1504 1504 1504 1504 1504 1504 1504 1504
## [1505,] 1505 1505 1505 1505 1505 1505 1505 1505 1505 1505 1505
## [1506,] 1506 1506 1506 1506 1506 1506 1506 1506 1506 1506 1506
## [1507,] 1507 1507 1507 1507 1507 1507 1507 1507 1507 1507 1507
## [1508,] 1508 1508 1508 1508 1508 1508 1508 1508 1508 1508 1508
## [1509,] 1509 1509 1509 1509 1509 1509 1509 1509 1509 1509 1509
## [1510,] 1510 1510 1510 1510 1510 1510 1510 1510 1510 1510 1510
## [1511,] 1511 1511 1511 1511 1511 1511 1511 1511 1511 1511 1511
## [1512,] 1512 1512 1512 1512 1512 1512 1512 1512 1512 1512 1512
## [1513,] 1513 1513 1513 1513 1513 1513 1513 1513 1513 1513 1513
## [1514,] 1514 1514 1514 1514 1514 1514 1514 1514 1514 1514 1514
## [1515,] 1515 1515 1515 1515 1515 1515 1515 1515 1515 1515 1515
## [1516,] 1516 1516 1516 1516 1516 1516 1516 1516 1516 1516 1516
## [1517,] 1517 1517 1517 1517 1517 1517 1517 1517 1517 1517 1517
## [1518,] 1518 1518 1518 1518 1518 1518 1518 1518 1518 1518 1518
## [1519,] 1519 1519 1519 1519 1519 1519 1519 1519 1519 1519 1519
## [1520,] 1520 1520 1520 1520 1520 1520 1520 1520 1520 1520 1520
## [1521,] 1521 1521 1521 1521 1521 1521 1521 1521 1521 1521 1521
## [1522,] 1522 1522 1522 1522 1522 1522 1522 1522 1522 1522 1522
## [1523,] 1523 1523 1523 1523 1523 1523 1523 1523 1523 1523 1523
## [1524,] 1524 1524 1524 1524 1524 1524 1524 1524 1524 1524 1524
## [1525,] 1525 1525 1525 1525 1525 1525 1525 1525 1525 1525 1525
## [1526,] 1526 1526 1526 1526 1526 1526 1526 1526 1526 1526 1526
## [1527,] 1527 1527 1527 1527 1527 1527 1527 1527 1527 1527 1527
## [1528,] 1528 1528 1528 1528 1528 1528 1528 1528 1528 1528 1528
## [1529,] 1529 1529 1529 1529 1529 1529 1529 1529 1529 1529 1529
## [1530,] 1530 1530 1530 1530 1530 1530 1530 1530 1530 1530 1530
## [1531,] 1531 1531 1531 1531 1531 1531 1531 1531 1531 1531 1531
## [1532,] 1532 1532 1532 1532 1532 1532 1532 1532 1532 1532 1532
## [1533,] 1533 1533 1533 1533 1533 1533 1533 1533 1533 1533 1533
## [1534,] 1534 1534 1534 1534 1534 1534 1534 1534 1534 1534 1534
## [1535,] 1535 1535 1535 1535 1535 1535 1535 1535 1535 1535 1535
## [1536,] 1536 1536 1536 1536 1536 1536 1536 1536 1536 1536 1536
## [1537,] 1537 1537 1537 1537 1537 1537 1537 1537 1537 1537 1537
## [1538,] 1538 1538 1538 1538 1538 1538 1538 1538 1538 1538 1538
## [1539,] 1539 1539 1539 1539 1539 1539 1539 1539 1539 1539 1539
## [1540,] 1540 1540 1540 1540 1540 1540 1540 1540 1540 1540 1540
## [1541,] 1541 1541 1541 1541 1541 1541 1541 1541 1541 1541 1541
## [1542,] 1542 1542 1542 1542 1542 1542 1542 1542 1542 1542 1542
## [1543,] 1543 1543 1543 1543 1543 1543 1543 1543 1543 1543 1543
## [1544,] 1544 1544 1544 1544 1544 1544 1544 1544 1544 1544 1544
## [1545,] 1545 1545 1545 1545 1545 1545 1545 1545 1545 1545 1545
## [1546,] 1546 1546 1546 1546 1546 1546 1546 1546 1546 1546 1546
## [1547,] 1547 1547 1547 1547 1547 1547 1547 1547 1547 1547 1547
## [1548,] 1548 1548 1548 1548 1548 1548 1548 1548 1548 1548 1548
## [1549,] 1549 1549 1549 1549 1549 1549 1549 1549 1549 1549 1549
## [1550,] 1550 1550 1550 1550 1550 1550 1550 1550 1550 1550 1550
## [1551,] 1551 1551 1551 1551 1551 1551 1551 1551 1551 1551 1551
## [1552,] 1552 1552 1552 1552 1552 1552 1552 1552 1552 1552 1552
## [1553,] 1553 1553 1553 1553 1553 1553 1553 1553 1553 1553 1553
## [1554,] 1554 1554 1554 1554 1554 1554 1554 1554 1554 1554 1554
## [1555,] 1555 1555 1555 1555 1555 1555 1555 1555 1555 1555 1555
## [1556,] 1556 1556 1556 1556 1556 1556 1556 1556 1556 1556 1556
## [1557,] 1557 1557 1557 1557 1557 1557 1557 1557 1557 1557 1557
## [1558,] 1558 1558 1558 1558 1558 1558 1558 1558 1558 1558 1558
## [1559,] 1559 1559 1559 1559 1559 1559 1559 1559 1559 1559 1559
## [1560,] 1560 1560 1560 1560 1560 1560 1560 1560 1560 1560 1560
## [1561,] 1561 1561 1561 1561 1561 1561 1561 1561 1561 1561 1561
## [1562,] 1562 1562 1562 1562 1562 1562 1562 1562 1562 1562 1562
## [1563,] 1563 1563 1563 1563 1563 1563 1563 1563 1563 1563 1563
## [1564,] 1564 1564 1564 1564 1564 1564 1564 1564 1564 1564 1564
## [1565,] 1565 1565 1565 1565 1565 1565 1565 1565 1565 1565 1565
## [1566,] 1566 1566 1566 1566 1566 1566 1566 1566 1566 1566 1566
## [1567,] 1567 1567 1567 1567 1567 1567 1567 1567 1567 1567 1567
## [1568,] 1568 1568 1568 1568 1568 1568 1568 1568 1568 1568 1568
## [1569,] 1569 1569 1569 1569 1569 1569 1569 1569 1569 1569 1569
## [1570,] 1570 1570 1570 1570 1570 1570 1570 1570 1570 1570 1570
## [1571,] 1571 1571 1571 1571 1571 1571 1571 1571 1571 1571 1571
## [1572,] 1572 1572 1572 1572 1572 1572 1572 1572 1572 1572 1572
## [1573,] 1573 1573 1573 1573 1573 1573 1573 1573 1573 1573 1573
## [1574,] 1574 1574 1574 1574 1574 1574 1574 1574 1574 1574 1574
## [1575,] 1575 1575 1575 1575 1575 1575 1575 1575 1575 1575 1575
## [1576,] 1576 1576 1576 1576 1576 1576 1576 1576 1576 1576 1576
## [1577,] 1577 1577 1577 1577 1577 1577 1577 1577 1577 1577 1577
## [1578,] 1578 1578 1578 1578 1578 1578 1578 1578 1578 1578 1578
## [1579,] 1579 1579 1579 1579 1579 1579 1579 1579 1579 1579 1579
## [1580,] 1580 1580 1580 1580 1580 1580 1580 1580 1580 1580 1580
## [1581,] 1581 1581 1581 1581 1581 1581 1581 1581 1581 1581 1581
## [1582,] 1582 1582 1582 1582 1582 1582 1582 1582 1582 1582 1582
## [1583,] 1583 1583 1583 1583 1583 1583 1583 1583 1583 1583 1583
## [1584,] 1584 1584 1584 1584 1584 1584 1584 1584 1584 1584 1584
## [1585,] 1585 1585 1585 1585 1585 1585 1585 1585 1585 1585 1585
## [1586,] 1586 1586 1586 1586 1586 1586 1586 1586 1586 1586 1586
## [1587,] 1587 1587 1587 1587 1587 1587 1587 1587 1587 1587 1587
## [1588,] 1588 1588 1588 1588 1588 1588 1588 1588 1588 1588 1588
## [1589,] 1589 1589 1589 1589 1589 1589 1589 1589 1589 1589 1589
## [1590,] 1590 1590 1590 1590 1590 1590 1590 1590 1590 1590 1590
## [1591,] 1591 1591 1591 1591 1591 1591 1591 1591 1591 1591 1591
## [1592,] 1592 1592 1592 1592 1592 1592 1592 1592 1592 1592 1592
## [1593,] 1593 1593 1593 1593 1593 1593 1593 1593 1593 1593 1593
## [1594,] 1594 1594 1594 1594 1594 1594 1594 1594 1594 1594 1594
## [1595,] 1595 1595 1595 1595 1595 1595 1595 1595 1595 1595 1595
## [1596,] 1596 1596 1596 1596 1596 1596 1596 1596 1596 1596 1596
## [1597,] 1597 1597 1597 1597 1597 1597 1597 1597 1597 1597 1597
## [1598,] 1598 1598 1598 1598 1598 1598 1598 1598 1598 1598 1598
## [1599,] 1599 1599 1599 1599 1599 1599 1599 1599 1599 1599 1599
## [1600,] 1600 1600 1600 1600 1600 1600 1600 1600 1600 1600 1600
## [1601,] 1601 1601 1601 1601 1601 1601 1601 1601 1601 1601 1601
## [1602,] 1602 1602 1602 1602 1602 1602 1602 1602 1602 1602 1602
## [1603,] 1603 1603 1603 1603 1603 1603 1603 1603 1603 1603 1603
## [1604,] 1604 1604 1604 1604 1604 1604 1604 1604 1604 1604 1604
## [1605,] 1605 1605 1605 1605 1605 1605 1605 1605 1605 1605 1605
## [1606,] 1606 1606 1606 1606 1606 1606 1606 1606 1606 1606 1606
## [1607,] 1607 1607 1607 1607 1607 1607 1607 1607 1607 1607 1607
## [1608,] 1608 1608 1608 1608 1608 1608 1608 1608 1608 1608 1608
## [1609,] 1609 1609 1609 1609 1609 1609 1609 1609 1609 1609 1609
## [1610,] 1610 1610 1610 1610 1610 1610 1610 1610 1610 1610 1610
## [1611,] 1611 1611 1611 1611 1611 1611 1611 1611 1611 1611 1611
## [1612,] 1612 1612 1612 1612 1612 1612 1612 1612 1612 1612 1612
## [1613,] 1613 1613 1613 1613 1613 1613 1613 1613 1613 1613 1613
## [1614,] 1614 1614 1614 1614 1614 1614 1614 1614 1614 1614 1614
## [1615,] 1615 1615 1615 1615 1615 1615 1615 1615 1615 1615 1615
## [1616,] 1616 1616 1616 1616 1616 1616 1616 1616 1616 1616 1616
## [1617,] 1617 1617 1617 1617 1617 1617 1617 1617 1617 1617 1617
## [1618,] 1618 1618 1618 1618 1618 1618 1618 1618 1618 1618 1618
## [1619,] 1619 1619 1619 1619 1619 1619 1619 1619 1619 1619 1619
## [1620,] 1620 1620 1620 1620 1620 1620 1620 1620 1620 1620 1620
## [1621,] 1621 1621 1621 1621 1621 1621 1621 1621 1621 1621 1621
## [1622,] 1622 1622 1622 1622 1622 1622 1622 1622 1622 1622 1622
## [1623,] 1623 1623 1623 1623 1623 1623 1623 1623 1623 1623 1623
## [1624,] 1624 1624 1624 1624 1624 1624 1624 1624 1624 1624 1624
## [1625,] 1625 1625 1625 1625 1625 1625 1625 1625 1625 1625 1625
## [1626,] 1626 1626 1626 1626 1626 1626 1626 1626 1626 1626 1626
## [1627,] 1627 1627 1627 1627 1627 1627 1627 1627 1627 1627 1627
## [1628,] 1628 1628 1628 1628 1628 1628 1628 1628 1628 1628 1628
## [1629,] 1629 1629 1629 1629 1629 1629 1629 1629 1629 1629 1629
## [1630,] 1630 1630 1630 1630 1630 1630 1630 1630 1630 1630 1630
## [1631,] 1631 1631 1631 1631 1631 1631 1631 1631 1631 1631 1631
## [1632,] 1632 1632 1632 1632 1632 1632 1632 1632 1632 1632 1632
## [1633,] 1633 1633 1633 1633 1633 1633 1633 1633 1633 1633 1633
## [1634,] 1634 1634 1634 1634 1634 1634 1634 1634 1634 1634 1634
## [1635,] 1635 1635 1635 1635 1635 1635 1635 1635 1635 1635 1635
## [1636,] 1636 1636 1636 1636 1636 1636 1636 1636 1636 1636 1636
## [1637,] 1637 1637 1637 1637 1637 1637 1637 1637 1637 1637 1637
## [1638,] 1638 1638 1638 1638 1638 1638 1638 1638 1638 1638 1638
## [1639,] 1639 1639 1639 1639 1639 1639 1639 1639 1639 1639 1639
## [1640,] 1640 1640 1640 1640 1640 1640 1640 1640 1640 1640 1640
## [1641,] 1641 1641 1641 1641 1641 1641 1641 1641 1641 1641 1641
## [1642,] 1642 1642 1642 1642 1642 1642 1642 1642 1642 1642 1642
## [1643,] 1643 1643 1643 1643 1643 1643 1643 1643 1643 1643 1643
## [1644,] 1644 1644 1644 1644 1644 1644 1644 1644 1644 1644 1644
## [1645,] 1645 1645 1645 1645 1645 1645 1645 1645 1645 1645 1645
## [1646,] 1646 1646 1646 1646 1646 1646 1646 1646 1646 1646 1646
## [1647,] 1647 1647 1647 1647 1647 1647 1647 1647 1647 1647 1647
## [1648,] 1648 1648 1648 1648 1648 1648 1648 1648 1648 1648 1648
## [1649,] 1649 1649 1649 1649 1649 1649 1649 1649 1649 1649 1649
## [1650,] 1650 1650 1650 1650 1650 1650 1650 1650 1650 1650 1650
## [1651,] 1651 1651 1651 1651 1651 1651 1651 1651 1651 1651 1651
## [1652,] 1652 1652 1652 1652 1652 1652 1652 1652 1652 1652 1652
## [1653,] 1653 1653 1653 1653 1653 1653 1653 1653 1653 1653 1653
## [1654,] 1654 1654 1654 1654 1654 1654 1654 1654 1654 1654 1654
## [1655,] 1655 1655 1655 1655 1655 1655 1655 1655 1655 1655 1655
## [1656,] 1656 1656 1656 1656 1656 1656 1656 1656 1656 1656 1656
## [1657,] 1657 1657 1657 1657 1657 1657 1657 1657 1657 1657 1657
## [1658,] 1658 1658 1658 1658 1658 1658 1658 1658 1658 1658 1658
## [1659,] 1659 1659 1659 1659 1659 1659 1659 1659 1659 1659 1659
## [1660,] 1660 1660 1660 1660 1660 1660 1660 1660 1660 1660 1660
## [1661,] 1661 1661 1661 1661 1661 1661 1661 1661 1661 1661 1661
## [1662,] 1662 1662 1662 1662 1662 1662 1662 1662 1662 1662 1662
## [1663,] 1663 1663 1663 1663 1663 1663 1663 1663 1663 1663 1663
## [1664,] 1664 1664 1664 1664 1664 1664 1664 1664 1664 1664 1664
## [1665,] 1665 1665 1665 1665 1665 1665 1665 1665 1665 1665 1665
## [1666,] 1666 1666 1666 1666 1666 1666 1666 1666 1666 1666 1666
## [1667,] 1667 1667 1667 1667 1667 1667 1667 1667 1667 1667 1667
## [1668,] 1668 1668 1668 1668 1668 1668 1668 1668 1668 1668 1668
## [1669,] 1669 1669 1669 1669 1669 1669 1669 1669 1669 1669 1669
## [1670,] 1670 1670 1670 1670 1670 1670 1670 1670 1670 1670 1670
## [1671,] 1671 1671 1671 1671 1671 1671 1671 1671 1671 1671 1671
## [1672,] 1672 1672 1672 1672 1672 1672 1672 1672 1672 1672 1672
## [1673,] 1673 1673 1673 1673 1673 1673 1673 1673 1673 1673 1673
## [1674,] 1674 1674 1674 1674 1674 1674 1674 1674 1674 1674 1674
## [1675,] 1675 1675 1675 1675 1675 1675 1675 1675 1675 1675 1675
## [1676,] 1676 1676 1676 1676 1676 1676 1676 1676 1676 1676 1676
## [1677,] 1677 1677 1677 1677 1677 1677 1677 1677 1677 1677 1677
## [1678,] 1678 1678 1678 1678 1678 1678 1678 1678 1678 1678 1678
## [1679,] 1679 1679 1679 1679 1679 1679 1679 1679 1679 1679 1679
## [1680,] 1680 1680 1680 1680 1680 1680 1680 1680 1680 1680 1680
## [1681,] 1681 1681 1681 1681 1681 1681 1681 1681 1681 1681 1681
## [1682,] 1682 1682 1682 1682 1682 1682 1682 1682 1682 1682 1682
## [1683,] 1683 1683 1683 1683 1683 1683 1683 1683 1683 1683 1683
## [1684,] 1684 1684 1684 1684 1684 1684 1684 1684 1684 1684 1684
## [1685,] 1685 1685 1685 1685 1685 1685 1685 1685 1685 1685 1685
## [1686,] 1686 1686 1686 1686 1686 1686 1686 1686 1686 1686 1686
## [1687,] 1687 1687 1687 1687 1687 1687 1687 1687 1687 1687 1687
## [1688,] 1688 1688 1688 1688 1688 1688 1688 1688 1688 1688 1688
## [1689,] 1689 1689 1689 1689 1689 1689 1689 1689 1689 1689 1689
## [1690,] 1690 1690 1690 1690 1690 1690 1690 1690 1690 1690 1690
## [1691,] 1691 1691 1691 1691 1691 1691 1691 1691 1691 1691 1691
## [1692,] 1692 1692 1692 1692 1692 1692 1692 1692 1692 1692 1692
## [1693,] 1693 1693 1693 1693 1693 1693 1693 1693 1693 1693 1693
## [1694,] 1694 1694 1694 1694 1694 1694 1694 1694 1694 1694 1694
## [1695,] 1695 1695 1695 1695 1695 1695 1695 1695 1695 1695 1695
## [1696,] 1696 1696 1696 1696 1696 1696 1696 1696 1696 1696 1696
## [1697,] 1697 1697 1697 1697 1697 1697 1697 1697 1697 1697 1697
## [1698,] 1698 1698 1698 1698 1698 1698 1698 1698 1698 1698 1698
## [1699,] 1699 1699 1699 1699 1699 1699 1699 1699 1699 1699 1699
## [1700,] 1700 1700 1700 1700 1700 1700 1700 1700 1700 1700 1700
## [1701,] 1701 1701 1701 1701 1701 1701 1701 1701 1701 1701 1701
## [1702,] 1702 1702 1702 1702 1702 1702 1702 1702 1702 1702 1702
## [1703,] 1703 1703 1703 1703 1703 1703 1703 1703 1703 1703 1703
## [1704,] 1704 1704 1704 1704 1704 1704 1704 1704 1704 1704 1704
## [1705,] 1705 1705 1705 1705 1705 1705 1705 1705 1705 1705 1705
## [1706,] 1706 1706 1706 1706 1706 1706 1706 1706 1706 1706 1706
## [1707,] 1707 1707 1707 1707 1707 1707 1707 1707 1707 1707 1707
## [1708,] 1708 1708 1708 1708 1708 1708 1708 1708 1708 1708 1708
## [1709,] 1709 1709 1709 1709 1709 1709 1709 1709 1709 1709 1709
## [1710,] 1710 1710 1710 1710 1710 1710 1710 1710 1710 1710 1710
## [1711,] 1711 1711 1711 1711 1711 1711 1711 1711 1711 1711 1711
## [1712,] 1712 1712 1712 1712 1712 1712 1712 1712 1712 1712 1712
## [1713,] 1713 1713 1713 1713 1713 1713 1713 1713 1713 1713 1713
## [1714,] 1714 1714 1714 1714 1714 1714 1714 1714 1714 1714 1714
## [1715,] 1715 1715 1715 1715 1715 1715 1715 1715 1715 1715 1715
## [1716,] 1716 1716 1716 1716 1716 1716 1716 1716 1716 1716 1716
## [1717,] 1717 1717 1717 1717 1717 1717 1717 1717 1717 1717 1717
## [1718,] 1718 1718 1718 1718 1718 1718 1718 1718 1718 1718 1718
## [1719,] 1719 1719 1719 1719 1719 1719 1719 1719 1719 1719 1719
## [1720,] 1720 1720 1720 1720 1720 1720 1720 1720 1720 1720 1720
## [1721,] 1721 1721 1721 1721 1721 1721 1721 1721 1721 1721 1721
## [1722,] 1722 1722 1722 1722 1722 1722 1722 1722 1722 1722 1722
## [1723,] 1723 1723 1723 1723 1723 1723 1723 1723 1723 1723 1723
## [1724,] 1724 1724 1724 1724 1724 1724 1724 1724 1724 1724 1724
## [1725,] 1725 1725 1725 1725 1725 1725 1725 1725 1725 1725 1725
## [1726,] 1726 1726 1726 1726 1726 1726 1726 1726 1726 1726 1726
## [1727,] 1727 1727 1727 1727 1727 1727 1727 1727 1727 1727 1727
## [1728,] 1728 1728 1728 1728 1728 1728 1728 1728 1728 1728 1728
## [1729,] 1729 1729 1729 1729 1729 1729 1729 1729 1729 1729 1729
## [1730,] 1730 1730 1730 1730 1730 1730 1730 1730 1730 1730 1730
## [1731,] 1731 1731 1731 1731 1731 1731 1731 1731 1731 1731 1731
## [1732,] 1732 1732 1732 1732 1732 1732 1732 1732 1732 1732 1732
## [1733,] 1733 1733 1733 1733 1733 1733 1733 1733 1733 1733 1733
## [1734,] 1734 1734 1734 1734 1734 1734 1734 1734 1734 1734 1734
## [1735,] 1735 1735 1735 1735 1735 1735 1735 1735 1735 1735 1735
## [1736,] 1736 1736 1736 1736 1736 1736 1736 1736 1736 1736 1736
## [1737,] 1737 1737 1737 1737 1737 1737 1737 1737 1737 1737 1737
## [1738,] 1738 1738 1738 1738 1738 1738 1738 1738 1738 1738 1738
## [1739,] 1739 1739 1739 1739 1739 1739 1739 1739 1739 1739 1739
## [1740,] 1740 1740 1740 1740 1740 1740 1740 1740 1740 1740 1740
## [1741,] 1741 1741 1741 1741 1741 1741 1741 1741 1741 1741 1741
## [1742,] 1742 1742 1742 1742 1742 1742 1742 1742 1742 1742 1742
## [1743,] 1743 1743 1743 1743 1743 1743 1743 1743 1743 1743 1743
## [1744,] 1744 1744 1744 1744 1744 1744 1744 1744 1744 1744 1744
## [1745,] 1745 1745 1745 1745 1745 1745 1745 1745 1745 1745 1745
## [1746,] 1746 1746 1746 1746 1746 1746 1746 1746 1746 1746 1746
## [1747,] 1747 1747 1747 1747 1747 1747 1747 1747 1747 1747 1747
## [1748,] 1748 1748 1748 1748 1748 1748 1748 1748 1748 1748 1748
## [1749,] 1749 1749 1749 1749 1749 1749 1749 1749 1749 1749 1749
## [1750,] 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750 1750
## [1751,] 1751 1751 1751 1751 1751 1751 1751 1751 1751 1751 1751
## [1752,] 1752 1752 1752 1752 1752 1752 1752 1752 1752 1752 1752
## [1753,] 1753 1753 1753 1753 1753 1753 1753 1753 1753 1753 1753
## [1754,] 1754 1754 1754 1754 1754 1754 1754 1754 1754 1754 1754
## [1755,] 1755 1755 1755 1755 1755 1755 1755 1755 1755 1755 1755
## [1756,] 1756 1756 1756 1756 1756 1756 1756 1756 1756 1756 1756
## [1757,] 1757 1757 1757 1757 1757 1757 1757 1757 1757 1757 1757
## [1758,] 1758 1758 1758 1758 1758 1758 1758 1758 1758 1758 1758
## [1759,] 1759 1759 1759 1759 1759 1759 1759 1759 1759 1759 1759
## [1760,] 1760 1760 1760 1760 1760 1760 1760 1760 1760 1760 1760
## [1761,] 1761 1761 1761 1761 1761 1761 1761 1761 1761 1761 1761
## [1762,] 1762 1762 1762 1762 1762 1762 1762 1762 1762 1762 1762
## [1763,] 1763 1763 1763 1763 1763 1763 1763 1763 1763 1763 1763
## [1764,] 1764 1764 1764 1764 1764 1764 1764 1764 1764 1764 1764
## [1765,] 1765 1765 1765 1765 1765 1765 1765 1765 1765 1765 1765
## [1766,] 1766 1766 1766 1766 1766 1766 1766 1766 1766 1766 1766
## [1767,] 1767 1767 1767 1767 1767 1767 1767 1767 1767 1767 1767
## [1768,] 1768 1768 1768 1768 1768 1768 1768 1768 1768 1768 1768
## [1769,] 1769 1769 1769 1769 1769 1769 1769 1769 1769 1769 1769
## [1770,] 1770 1770 1770 1770 1770 1770 1770 1770 1770 1770 1770
## [1771,] 1771 1771 1771 1771 1771 1771 1771 1771 1771 1771 1771
## [1772,] 1772 1772 1772 1772 1772 1772 1772 1772 1772 1772 1772
## [1773,] 1773 1773 1773 1773 1773 1773 1773 1773 1773 1773 1773
## [1774,] 1774 1774 1774 1774 1774 1774 1774 1774 1774 1774 1774
## [1775,] 1775 1775 1775 1775 1775 1775 1775 1775 1775 1775 1775
## [1776,] 1776 1776 1776 1776 1776 1776 1776 1776 1776 1776 1776
## [1777,] 1777 1777 1777 1777 1777 1777 1777 1777 1777 1777 1777
## [1778,] 1778 1778 1778 1778 1778 1778 1778 1778 1778 1778 1778
## [1779,] 1779 1779 1779 1779 1779 1779 1779 1779 1779 1779 1779
## [1780,] 1780 1780 1780 1780 1780 1780 1780 1780 1780 1780 1780
## [1781,] 1781 1781 1781 1781 1781 1781 1781 1781 1781 1781 1781
## [1782,] 1782 1782 1782 1782 1782 1782 1782 1782 1782 1782 1782
## [1783,] 1783 1783 1783 1783 1783 1783 1783 1783 1783 1783 1783
## [1784,] 1784 1784 1784 1784 1784 1784 1784 1784 1784 1784 1784
## [1785,] 1785 1785 1785 1785 1785 1785 1785 1785 1785 1785 1785
## [1786,] 1786 1786 1786 1786 1786 1786 1786 1786 1786 1786 1786
## [1787,] 1787 1787 1787 1787 1787 1787 1787 1787 1787 1787 1787
## [1788,] 1788 1788 1788 1788 1788 1788 1788 1788 1788 1788 1788
## [1789,] 1789 1789 1789 1789 1789 1789 1789 1789 1789 1789 1789
## [1790,] 1790 1790 1790 1790 1790 1790 1790 1790 1790 1790 1790
## [1791,] 1791 1791 1791 1791 1791 1791 1791 1791 1791 1791 1791
## [1792,] 1792 1792 1792 1792 1792 1792 1792 1792 1792 1792 1792
## [1793,] 1793 1793 1793 1793 1793 1793 1793 1793 1793 1793 1793
## [1794,] 1794 1794 1794 1794 1794 1794 1794 1794 1794 1794 1794
## [1795,] 1795 1795 1795 1795 1795 1795 1795 1795 1795 1795 1795
## [1796,] 1796 1796 1796 1796 1796 1796 1796 1796 1796 1796 1796
## [1797,] 1797 1797 1797 1797 1797 1797 1797 1797 1797 1797 1797
## [1798,] 1798 1798 1798 1798 1798 1798 1798 1798 1798 1798 1798
## [1799,] 1799 1799 1799 1799 1799 1799 1799 1799 1799 1799 1799
## [1800,] 1800 1800 1800 1800 1800 1800 1800 1800 1800 1800 1800
## [1801,] 1801 1801 1801 1801 1801 1801 1801 1801 1801 1801 1801
## [1802,] 1802 1802 1802 1802 1802 1802 1802 1802 1802 1802 1802
## [1803,] 1803 1803 1803 1803 1803 1803 1803 1803 1803 1803 1803
## [1804,] 1804 1804 1804 1804 1804 1804 1804 1804 1804 1804 1804
## [1805,] 1805 1805 1805 1805 1805 1805 1805 1805 1805 1805 1805
## [1806,] 1806 1806 1806 1806 1806 1806 1806 1806 1806 1806 1806
## [1807,] 1807 1807 1807 1807 1807 1807 1807 1807 1807 1807 1807
## [1808,] 1808 1808 1808 1808 1808 1808 1808 1808 1808 1808 1808
## [1809,] 1809 1809 1809 1809 1809 1809 1809 1809 1809 1809 1809
## [1810,] 1810 1810 1810 1810 1810 1810 1810 1810 1810 1810 1810
## [1811,] 1811 1811 1811 1811 1811 1811 1811 1811 1811 1811 1811
## [1812,] 1812 1812 1812 1812 1812 1812 1812 1812 1812 1812 1812
## [1813,] 1813 1813 1813 1813 1813 1813 1813 1813 1813 1813 1813
## [1814,] 1814 1814 1814 1814 1814 1814 1814 1814 1814 1814 1814
## [1815,] 1815 1815 1815 1815 1815 1815 1815 1815 1815 1815 1815
## [1816,] 1816 1816 1816 1816 1816 1816 1816 1816 1816 1816 1816
## [1817,] 1817 1817 1817 1817 1817 1817 1817 1817 1817 1817 1817
## [1818,] 1818 1818 1818 1818 1818 1818 1818 1818 1818 1818 1818
## [1819,] 1819 1819 1819 1819 1819 1819 1819 1819 1819 1819 1819
## [1820,] 1820 1820 1820 1820 1820 1820 1820 1820 1820 1820 1820
## [1821,] 1821 1821 1821 1821 1821 1821 1821 1821 1821 1821 1821
## [1822,] 1822 1822 1822 1822 1822 1822 1822 1822 1822 1822 1822
## [1823,] 1823 1823 1823 1823 1823 1823 1823 1823 1823 1823 1823
## [1824,] 1824 1824 1824 1824 1824 1824 1824 1824 1824 1824 1824
## [1825,] 1825 1825 1825 1825 1825 1825 1825 1825 1825 1825 1825
## [1826,] 1826 1826 1826 1826 1826 1826 1826 1826 1826 1826 1826
## [1827,] 1827 1827 1827 1827 1827 1827 1827 1827 1827 1827 1827
## [1828,] 1828 1828 1828 1828 1828 1828 1828 1828 1828 1828 1828
## [1829,] 1829 1829 1829 1829 1829 1829 1829 1829 1829 1829 1829
## [1830,] 1830 1830 1830 1830 1830 1830 1830 1830 1830 1830 1830
## [1831,] 1831 1831 1831 1831 1831 1831 1831 1831 1831 1831 1831
## [1832,] 1832 1832 1832 1832 1832 1832 1832 1832 1832 1832 1832
## [1833,] 1833 1833 1833 1833 1833 1833 1833 1833 1833 1833 1833
## [1834,] 1834 1834 1834 1834 1834 1834 1834 1834 1834 1834 1834
## [1835,] 1835 1835 1835 1835 1835 1835 1835 1835 1835 1835 1835
## [1836,] 1836 1836 1836 1836 1836 1836 1836 1836 1836 1836 1836
## [1837,] 1837 1837 1837 1837 1837 1837 1837 1837 1837 1837 1837
## [1838,] 1838 1838 1838 1838 1838 1838 1838 1838 1838 1838 1838
## [1839,] 1839 1839 1839 1839 1839 1839 1839 1839 1839 1839 1839
## [1840,] 1840 1840 1840 1840 1840 1840 1840 1840 1840 1840 1840
## [1841,] 1841 1841 1841 1841 1841 1841 1841 1841 1841 1841 1841
## [1842,] 1842 1842 1842 1842 1842 1842 1842 1842 1842 1842 1842
## [1843,] 1843 1843 1843 1843 1843 1843 1843 1843 1843 1843 1843
## [1844,] 1844 1844 1844 1844 1844 1844 1844 1844 1844 1844 1844
## [1845,] 1845 1845 1845 1845 1845 1845 1845 1845 1845 1845 1845
## [1846,] 1846 1846 1846 1846 1846 1846 1846 1846 1846 1846 1846
## [1847,] 1847 1847 1847 1847 1847 1847 1847 1847 1847 1847 1847
## [1848,] 1848 1848 1848 1848 1848 1848 1848 1848 1848 1848 1848
## [1849,] 1849 1849 1849 1849 1849 1849 1849 1849 1849 1849 1849
## [1850,] 1850 1850 1850 1850 1850 1850 1850 1850 1850 1850 1850
## [1851,] 1851 1851 1851 1851 1851 1851 1851 1851 1851 1851 1851
## [1852,] 1852 1852 1852 1852 1852 1852 1852 1852 1852 1852 1852
## [1853,] 1853 1853 1853 1853 1853 1853 1853 1853 1853 1853 1853
## [1854,] 1854 1854 1854 1854 1854 1854 1854 1854 1854 1854 1854
## [1855,] 1855 1855 1855 1855 1855 1855 1855 1855 1855 1855 1855
## [1856,] 1856 1856 1856 1856 1856 1856 1856 1856 1856 1856 1856
## [1857,] 1857 1857 1857 1857 1857 1857 1857 1857 1857 1857 1857
## [1858,] 1858 1858 1858 1858 1858 1858 1858 1858 1858 1858 1858
## [1859,] 1859 1859 1859 1859 1859 1859 1859 1859 1859 1859 1859
## [1860,] 1860 1860 1860 1860 1860 1860 1860 1860 1860 1860 1860
## [1861,] 1861 1861 1861 1861 1861 1861 1861 1861 1861 1861 1861
## [1862,] 1862 1862 1862 1862 1862 1862 1862 1862 1862 1862 1862
## [1863,] 1863 1863 1863 1863 1863 1863 1863 1863 1863 1863 1863
## [1864,] 1864 1864 1864 1864 1864 1864 1864 1864 1864 1864 1864
## [1865,] 1865 1865 1865 1865 1865 1865 1865 1865 1865 1865 1865
## [1866,] 1866 1866 1866 1866 1866 1866 1866 1866 1866 1866 1866
## [1867,] 1867 1867 1867 1867 1867 1867 1867 1867 1867 1867 1867
## [1868,] 1868 1868 1868 1868 1868 1868 1868 1868 1868 1868 1868
## [1869,] 1869 1869 1869 1869 1869 1869 1869 1869 1869 1869 1869
## [1870,] 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870 1870
## [1871,] 1871 1871 1871 1871 1871 1871 1871 1871 1871 1871 1871
## [1872,] 1872 1872 1872 1872 1872 1872 1872 1872 1872 1872 1872
## [1873,] 1873 1873 1873 1873 1873 1873 1873 1873 1873 1873 1873
## [1874,] 1874 1874 1874 1874 1874 1874 1874 1874 1874 1874 1874
## [1875,] 1875 1875 1875 1875 1875 1875 1875 1875 1875 1875 1875
## [1876,] 1876 1876 1876 1876 1876 1876 1876 1876 1876 1876 1876
## [1877,] 1877 1877 1877 1877 1877 1877 1877 1877 1877 1877 1877
## [1878,] 1878 1878 1878 1878 1878 1878 1878 1878 1878 1878 1878
## [1879,] 1879 1879 1879 1879 1879 1879 1879 1879 1879 1879 1879
## [1880,] 1880 1880 1880 1880 1880 1880 1880 1880 1880 1880 1880
## [1881,] 1881 1881 1881 1881 1881 1881 1881 1881 1881 1881 1881
## [1882,] 1882 1882 1882 1882 1882 1882 1882 1882 1882 1882 1882
## [1883,] 1883 1883 1883 1883 1883 1883 1883 1883 1883 1883 1883
## [1884,] 1884 1884 1884 1884 1884 1884 1884 1884 1884 1884 1884
## [1885,] 1885 1885 1885 1885 1885 1885 1885 1885 1885 1885 1885
## [1886,] 1886 1886 1886 1886 1886 1886 1886 1886 1886 1886 1886
## [1887,] 1887 1887 1887 1887 1887 1887 1887 1887 1887 1887 1887
## [1888,] 1888 1888 1888 1888 1888 1888 1888 1888 1888 1888 1888
## [1889,] 1889 1889 1889 1889 1889 1889 1889 1889 1889 1889 1889
## [1890,] 1890 1890 1890 1890 1890 1890 1890 1890 1890 1890 1890
## [1891,] 1891 1891 1891 1891 1891 1891 1891 1891 1891 1891 1891
## [1892,] 1892 1892 1892 1892 1892 1892 1892 1892 1892 1892 1892
## [1893,] 1893 1893 1893 1893 1893 1893 1893 1893 1893 1893 1893
## [1894,] 1894 1894 1894 1894 1894 1894 1894 1894 1894 1894 1894
## [1895,] 1895 1895 1895 1895 1895 1895 1895 1895 1895 1895 1895
## [1896,] 1896 1896 1896 1896 1896 1896 1896 1896 1896 1896 1896
## [1897,] 1897 1897 1897 1897 1897 1897 1897 1897 1897 1897 1897
## [1898,] 1898 1898 1898 1898 1898 1898 1898 1898 1898 1898 1898
## [1899,] 1899 1899 1899 1899 1899 1899 1899 1899 1899 1899 1899
## [1900,] 1900 1900 1900 1900 1900 1900 1900 1900 1900 1900 1900
## [1901,] 1901 1901 1901 1901 1901 1901 1901 1901 1901 1901 1901
## [1902,] 1902 1902 1902 1902 1902 1902 1902 1902 1902 1902 1902
## [1903,] 1903 1903 1903 1903 1903 1903 1903 1903 1903 1903 1903
## [1904,] 1904 1904 1904 1904 1904 1904 1904 1904 1904 1904 1904
## [1905,] 1905 1905 1905 1905 1905 1905 1905 1905 1905 1905 1905
## [1906,] 1906 1906 1906 1906 1906 1906 1906 1906 1906 1906 1906
## [1907,] 1907 1907 1907 1907 1907 1907 1907 1907 1907 1907 1907
## [1908,] 1908 1908 1908 1908 1908 1908 1908 1908 1908 1908 1908
## [1909,] 1909 1909 1909 1909 1909 1909 1909 1909 1909 1909 1909
## [1910,] 1910 1910 1910 1910 1910 1910 1910 1910 1910 1910 1910
## [1911,] 1911 1911 1911 1911 1911 1911 1911 1911 1911 1911 1911
## [1912,] 1912 1912 1912 1912 1912 1912 1912 1912 1912 1912 1912
## [1913,] 1913 1913 1913 1913 1913 1913 1913 1913 1913 1913 1913
## [1914,] 1914 1914 1914 1914 1914 1914 1914 1914 1914 1914 1914
## [1915,] 1915 1915 1915 1915 1915 1915 1915 1915 1915 1915 1915
## [1916,] 1916 1916 1916 1916 1916 1916 1916 1916 1916 1916 1916
## [1917,] 1917 1917 1917 1917 1917 1917 1917 1917 1917 1917 1917
## [1918,] 1918 1918 1918 1918 1918 1918 1918 1918 1918 1918 1918
## [1919,] 1919 1919 1919 1919 1919 1919 1919 1919 1919 1919 1919
## [1920,] 1920 1920 1920 1920 1920 1920 1920 1920 1920 1920 1920
## [1921,] 1921 1921 1921 1921 1921 1921 1921 1921 1921 1921 1921
## [1922,] 1922 1922 1922 1922 1922 1922 1922 1922 1922 1922 1922
## [1923,] 1923 1923 1923 1923 1923 1923 1923 1923 1923 1923 1923
## [1924,] 1924 1924 1924 1924 1924 1924 1924 1924 1924 1924 1924
## [1925,] 1925 1925 1925 1925 1925 1925 1925 1925 1925 1925 1925
## [1926,] 1926 1926 1926 1926 1926 1926 1926 1926 1926 1926 1926
## [1927,] 1927 1927 1927 1927 1927 1927 1927 1927 1927 1927 1927
## [1928,] 1928 1928 1928 1928 1928 1928 1928 1928 1928 1928 1928
## [1929,] 1929 1929 1929 1929 1929 1929 1929 1929 1929 1929 1929
## [1930,] 1930 1930 1930 1930 1930 1930 1930 1930 1930 1930 1930
## [1931,] 1931 1931 1931 1931 1931 1931 1931 1931 1931 1931 1931
## [1932,] 1932 1932 1932 1932 1932 1932 1932 1932 1932 1932 1932
## [1933,] 1933 1933 1933 1933 1933 1933 1933 1933 1933 1933 1933
## [1934,] 1934 1934 1934 1934 1934 1934 1934 1934 1934 1934 1934
## [1935,] 1935 1935 1935 1935 1935 1935 1935 1935 1935 1935 1935
## [1936,] 1936 1936 1936 1936 1936 1936 1936 1936 1936 1936 1936
## [1937,] 1937 1937 1937 1937 1937 1937 1937 1937 1937 1937 1937
## [1938,] 1938 1938 1938 1938 1938 1938 1938 1938 1938 1938 1938
## [1939,] 1939 1939 1939 1939 1939 1939 1939 1939 1939 1939 1939
## [1940,] 1940 1940 1940 1940 1940 1940 1940 1940 1940 1940 1940
## [1941,] 1941 1941 1941 1941 1941 1941 1941 1941 1941 1941 1941
## [1942,] 1942 1942 1942 1942 1942 1942 1942 1942 1942 1942 1942
## [1943,] 1943 1943 1943 1943 1943 1943 1943 1943 1943 1943 1943
## [1944,] 1944 1944 1944 1944 1944 1944 1944 1944 1944 1944 1944
## [1945,] 1945 1945 1945 1945 1945 1945 1945 1945 1945 1945 1945
## [1946,] 1946 1946 1946 1946 1946 1946 1946 1946 1946 1946 1946
## [1947,] 1947 1947 1947 1947 1947 1947 1947 1947 1947 1947 1947
## [1948,] 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948 1948
## [1949,] 1949 1949 1949 1949 1949 1949 1949 1949 1949 1949 1949row.names(df)## [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10"
## [11] "11" "12" "13" "14" "15" "16" "17" "18" "19" "20"
## [21] "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
## [31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40"
## [41] "41" "42" "43" "44" "45" "46" "47" "48" "49" "50"
## [51] "51" "52" "53" "54" "55" "56" "57" "58" "59" "60"
## [61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70"
## [71] "71" "72" "73" "74" "75" "76" "77" "78" "79" "80"
## [81] "81" "82" "83" "84" "85" "86" "87" "88" "89" "90"
## [91] "91" "92" "93" "94" "95" "96" "97" "98" "99" "100"
## [101] "101" "102" "103" "104" "105" "106" "107" "108" "109" "110"
## [111] "111" "112" "113" "114" "115" "116" "117" "118" "119" "120"
## [121] "121" "122" "123" "124" "125" "126" "127" "128" "129" "130"
## [131] "131" "132" "133" "134" "135" "136" "137" "138" "139" "140"
## [141] "141" "142" "143" "144" "145" "146" "147" "148" "149" "150"
## [151] "151" "152" "153" "154" "155" "156" "157" "158" "159" "160"
## [161] "161" "162" "163" "164" "165" "166" "167" "168" "169" "170"
## [171] "171" "172" "173" "174" "175" "176" "177" "178" "179" "180"
## [181] "181" "182" "183" "184" "185" "186" "187" "188" "189" "190"
## [191] "191" "192" "193" "194" "195" "196" "197" "198" "199" "200"
## [201] "201" "202" "203" "204" "205" "206" "207" "208" "209" "210"
## [211] "211" "212" "213" "214" "215" "216" "217" "218" "219" "220"
## [221] "221" "222" "223" "224" "225" "226" "227" "228" "229" "230"
## [231] "231" "232" "233" "234" "235" "236" "237" "238" "239" "240"
## [241] "241" "242" "243" "244" "245" "246" "247" "248" "249" "250"
## [251] "251" "252" "253" "254" "255" "256" "257" "258" "259" "260"
## [261] "261" "262" "263" "264" "265" "266" "267" "268" "269" "270"
## [271] "271" "272" "273" "274" "275" "276" "277" "278" "279" "280"
## [281] "281" "282" "283" "284" "285" "286" "287" "288" "289" "290"
## [291] "291" "292" "293" "294" "295" "296" "297" "298" "299" "300"
## [301] "301" "302" "303" "304" "305" "306" "307" "308" "309" "310"
## [311] "311" "312" "313" "314" "315" "316" "317" "318" "319" "320"
## [321] "321" "322" "323" "324" "325" "326" "327" "328" "329" "330"
## [331] "331" "332" "333" "334" "335" "336" "337" "338" "339" "340"
## [341] "341" "342" "343" "344" "345" "346" "347" "348" "349" "350"
## [351] "351" "352" "353" "354" "355" "356" "357" "358" "359" "360"
## [361] "361" "362" "363" "364" "365" "366" "367" "368" "369" "370"
## [371] "371" "372" "373" "374" "375" "376" "377" "378" "379" "380"
## [381] "381" "382" "383" "384" "385" "386" "387" "388" "389" "390"
## [391] "391" "392" "393" "394" "395" "396" "397" "398" "399" "400"
## [401] "401" "402" "403" "404" "405" "406" "407" "408" "409" "410"
## [411] "411" "412" "413" "414" "415" "416" "417" "418" "419" "420"
## [421] "421" "422" "423" "424" "425" "426" "427" "428" "429" "430"
## [431] "431" "432" "433" "434" "435" "436" "437" "438" "439" "440"
## [441] "441" "442" "443" "444" "445" "446" "447" "448" "449" "450"
## [451] "451" "452" "453" "454" "455" "456" "457" "458" "459" "460"
## [461] "461" "462" "463" "464" "465" "466" "467" "468" "469" "470"
## [471] "471" "472" "473" "474" "475" "476" "477" "478" "479" "480"
## [481] "481" "482" "483" "484" "485" "486" "487" "488" "489" "490"
## [491] "491" "492" "493" "494" "495" "496" "497" "498" "499" "500"
## [501] "501" "502" "503" "504" "505" "506" "507" "508" "509" "510"
## [511] "511" "512" "513" "514" "515" "516" "517" "518" "519" "520"
## [521] "521" "522" "523" "524" "525" "526" "527" "528" "529" "530"
## [531] "531" "532" "533" "534" "535" "536" "537" "538" "539" "540"
## [541] "541" "542" "543" "544" "545" "546" "547" "548" "549" "550"
## [551] "551" "552" "553" "554" "555" "556" "557" "558" "559" "560"
## [561] "561" "562" "563" "564" "565" "566" "567" "568" "569" "570"
## [571] "571" "572" "573" "574" "575" "576" "577" "578" "579" "580"
## [581] "581" "582" "583" "584" "585" "586" "587" "588" "589" "590"
## [591] "591" "592" "593" "594" "595" "596" "597" "598" "599" "600"
## [601] "601" "602" "603" "604" "605" "606" "607" "608" "609" "610"
## [611] "611" "612" "613" "614" "615" "616" "617" "618" "619" "620"
## [621] "621" "622" "623" "624" "625" "626" "627" "628" "629" "630"
## [631] "631" "632" "633" "634" "635" "636" "637" "638" "639" "640"
## [641] "641" "642" "643" "644" "645" "646" "647" "648" "649" "650"
## [651] "651" "652" "653" "654" "655" "656" "657" "658" "659" "660"
## [661] "661" "662" "663" "664" "665" "666" "667" "668" "669" "670"
## [671] "671" "672" "673" "674" "675" "676" "677" "678" "679" "680"
## [681] "681" "682" "683" "684" "685" "686" "687" "688" "689" "690"
## [691] "691" "692" "693" "694" "695" "696" "697" "698" "699" "700"
## [701] "701" "702" "703" "704" "705" "706" "707" "708" "709" "710"
## [711] "711" "712" "713" "714" "715" "716" "717" "718" "719" "720"
## [721] "721" "722" "723" "724" "725" "726" "727" "728" "729" "730"
## [731] "731" "732" "733" "734" "735" "736" "737" "738" "739" "740"
## [741] "741" "742" "743" "744" "745" "746" "747" "748" "749" "750"
## [751] "751" "752" "753" "754" "755" "756" "757" "758" "759" "760"
## [761] "761" "762" "763" "764" "765" "766" "767" "768" "769" "770"
## [771] "771" "772" "773" "774" "775" "776" "777" "778" "779" "780"
## [781] "781" "782" "783" "784" "785" "786" "787" "788" "789" "790"
## [791] "791" "792" "793" "794" "795" "796" "797" "798" "799" "800"
## [801] "801" "802" "803" "804" "805" "806" "807" "808" "809" "810"
## [811] "811" "812" "813" "814" "815" "816" "817" "818" "819" "820"
## [821] "821" "822" "823" "824" "825" "826" "827" "828" "829" "830"
## [831] "831" "832" "833" "834" "835" "836" "837" "838" "839" "840"
## [841] "841" "842" "843" "844" "845" "846" "847" "848" "849" "850"
## [851] "851" "852" "853" "854" "855" "856" "857" "858" "859" "860"
## [861] "861" "862" "863" "864" "865" "866" "867" "868" "869" "870"
## [871] "871" "872" "873" "874" "875" "876" "877" "878" "879" "880"
## [881] "881" "882" "883" "884" "885" "886" "887" "888" "889" "890"
## [891] "891" "892" "893" "894" "895" "896" "897" "898" "899" "900"
## [901] "901" "902" "903" "904" "905" "906" "907" "908" "909" "910"
## [911] "911" "912" "913" "914" "915" "916" "917" "918" "919" "920"
## [921] "921" "922" "923" "924" "925" "926" "927" "928" "929" "930"
## [931] "931" "932" "933" "934" "935" "936" "937" "938" "939" "940"
## [941] "941" "942" "943" "944" "945" "946" "947" "948" "949" "950"
## [951] "951" "952" "953" "954" "955" "956" "957" "958" "959" "960"
## [961] "961" "962" "963" "964" "965" "966" "967" "968" "969" "970"
## [971] "971" "972" "973" "974" "975" "976" "977" "978" "979" "980"
## [981] "981" "982" "983" "984" "985" "986" "987" "988" "989" "990"
## [991] "991" "992" "993" "994" "995" "996" "997" "998" "999" "1000"
## [1001] "1001" "1002" "1003" "1004" "1005" "1006" "1007" "1008" "1009" "1010"
## [1011] "1011" "1012" "1013" "1014" "1015" "1016" "1017" "1018" "1019" "1020"
## [1021] "1021" "1022" "1023" "1024" "1025" "1026" "1027" "1028" "1029" "1030"
## [1031] "1031" "1032" "1033" "1034" "1035" "1036" "1037" "1038" "1039" "1040"
## [1041] "1041" "1042" "1043" "1044" "1045" "1046" "1047" "1048" "1049" "1050"
## [1051] "1051" "1052" "1053" "1054" "1055" "1056" "1057" "1058" "1059" "1060"
## [1061] "1061" "1062" "1063" "1064" "1065" "1066" "1067" "1068" "1069" "1070"
## [1071] "1071" "1072" "1073" "1074" "1075" "1076" "1077" "1078" "1079" "1080"
## [1081] "1081" "1082" "1083" "1084" "1085" "1086" "1087" "1088" "1089" "1090"
## [1091] "1091" "1092" "1093" "1094" "1095" "1096" "1097" "1098" "1099" "1100"
## [1101] "1101" "1102" "1103" "1104" "1105" "1106" "1107" "1108" "1109" "1110"
## [1111] "1111" "1112" "1113" "1114" "1115" "1116" "1117" "1118" "1119" "1120"
## [1121] "1121" "1122" "1123" "1124" "1125" "1126" "1127" "1128" "1129" "1130"
## [1131] "1131" "1132" "1133" "1134" "1135" "1136" "1137" "1138" "1139" "1140"
## [1141] "1141" "1142" "1143" "1144" "1145" "1146" "1147" "1148" "1149" "1150"
## [1151] "1151" "1152" "1153" "1154" "1155" "1156" "1157" "1158" "1159" "1160"
## [1161] "1161" "1162" "1163" "1164" "1165" "1166" "1167" "1168" "1169" "1170"
## [1171] "1171" "1172" "1173" "1174" "1175" "1176" "1177" "1178" "1179" "1180"
## [1181] "1181" "1182" "1183" "1184" "1185" "1186" "1187" "1188" "1189" "1190"
## [1191] "1191" "1192" "1193" "1194" "1195" "1196" "1197" "1198" "1199" "1200"
## [1201] "1201" "1202" "1203" "1204" "1205" "1206" "1207" "1208" "1209" "1210"
## [1211] "1211" "1212" "1213" "1214" "1215" "1216" "1217" "1218" "1219" "1220"
## [1221] "1221" "1222" "1223" "1224" "1225" "1226" "1227" "1228" "1229" "1230"
## [1231] "1231" "1232" "1233" "1234" "1235" "1236" "1237" "1238" "1239" "1240"
## [1241] "1241" "1242" "1243" "1244" "1245" "1246" "1247" "1248" "1249" "1250"
## [1251] "1251" "1252" "1253" "1254" "1255" "1256" "1257" "1258" "1259" "1260"
## [1261] "1261" "1262" "1263" "1264" "1265" "1266" "1267" "1268" "1269" "1270"
## [1271] "1271" "1272" "1273" "1274" "1275" "1276" "1277" "1278" "1279" "1280"
## [1281] "1281" "1282" "1283" "1284" "1285" "1286" "1287" "1288" "1289" "1290"
## [1291] "1291" "1292" "1293" "1294" "1295" "1296" "1297" "1298" "1299" "1300"
## [1301] "1301" "1302" "1303" "1304" "1305" "1306" "1307" "1308" "1309" "1310"
## [1311] "1311" "1312" "1313" "1314" "1315" "1316" "1317" "1318" "1319" "1320"
## [1321] "1321" "1322" "1323" "1324" "1325" "1326" "1327" "1328" "1329" "1330"
## [1331] "1331" "1332" "1333" "1334" "1335" "1336" "1337" "1338" "1339" "1340"
## [1341] "1341" "1342" "1343" "1344" "1345" "1346" "1347" "1348" "1349" "1350"
## [1351] "1351" "1352" "1353" "1354" "1355" "1356" "1357" "1358" "1359" "1360"
## [1361] "1361" "1362" "1363" "1364" "1365" "1366" "1367" "1368" "1369" "1370"
## [1371] "1371" "1372" "1373" "1374" "1375" "1376" "1377" "1378" "1379" "1380"
## [1381] "1381" "1382" "1383" "1384" "1385" "1386" "1387" "1388" "1389" "1390"
## [1391] "1391" "1392" "1393" "1394" "1395" "1396" "1397" "1398" "1399" "1400"
## [1401] "1401" "1402" "1403" "1404" "1405" "1406" "1407" "1408" "1409" "1410"
## [1411] "1411" "1412" "1413" "1414" "1415" "1416" "1417" "1418" "1419" "1420"
## [1421] "1421" "1422" "1423" "1424" "1425" "1426" "1427" "1428" "1429" "1430"
## [1431] "1431" "1432" "1433" "1434" "1435" "1436" "1437" "1438" "1439" "1440"
## [1441] "1441" "1442" "1443" "1444" "1445" "1446" "1447" "1448" "1449" "1450"
## [1451] "1451" "1452" "1453" "1454" "1455" "1456" "1457" "1458" "1459" "1460"
## [1461] "1461" "1462" "1463" "1464" "1465" "1466" "1467" "1468" "1469" "1470"
## [1471] "1471" "1472" "1473" "1474" "1475" "1476" "1477" "1478" "1479" "1480"
## [1481] "1481" "1482" "1483" "1484" "1485" "1486" "1487" "1488" "1489" "1490"
## [1491] "1491" "1492" "1493" "1494" "1495" "1496" "1497" "1498" "1499" "1500"
## [1501] "1501" "1502" "1503" "1504" "1505" "1506" "1507" "1508" "1509" "1510"
## [1511] "1511" "1512" "1513" "1514" "1515" "1516" "1517" "1518" "1519" "1520"
## [1521] "1521" "1522" "1523" "1524" "1525" "1526" "1527" "1528" "1529" "1530"
## [1531] "1531" "1532" "1533" "1534" "1535" "1536" "1537" "1538" "1539" "1540"
## [1541] "1541" "1542" "1543" "1544" "1545" "1546" "1547" "1548" "1549" "1550"
## [1551] "1551" "1552" "1553" "1554" "1555" "1556" "1557" "1558" "1559" "1560"
## [1561] "1561" "1562" "1563" "1564" "1565" "1566" "1567" "1568" "1569" "1570"
## [1571] "1571" "1572" "1573" "1574" "1575" "1576" "1577" "1578" "1579" "1580"
## [1581] "1581" "1582" "1583" "1584" "1585" "1586" "1587" "1588" "1589" "1590"
## [1591] "1591" "1592" "1593" "1594" "1595" "1596" "1597" "1598" "1599" "1600"
## [1601] "1601" "1602" "1603" "1604" "1605" "1606" "1607" "1608" "1609" "1610"
## [1611] "1611" "1612" "1613" "1614" "1615" "1616" "1617" "1618" "1619" "1620"
## [1621] "1621" "1622" "1623" "1624" "1625" "1626" "1627" "1628" "1629" "1630"
## [1631] "1631" "1632" "1633" "1634" "1635" "1636" "1637" "1638" "1639" "1640"
## [1641] "1641" "1642" "1643" "1644" "1645" "1646" "1647" "1648" "1649" "1650"
## [1651] "1651" "1652" "1653" "1654" "1655" "1656" "1657" "1658" "1659" "1660"
## [1661] "1661" "1662" "1663" "1664" "1665" "1666" "1667" "1668" "1669" "1670"
## [1671] "1671" "1672" "1673" "1674" "1675" "1676" "1677" "1678" "1679" "1680"
## [1681] "1681" "1682" "1683" "1684" "1685" "1686" "1687" "1688" "1689" "1690"
## [1691] "1691" "1692" "1693" "1694" "1695" "1696" "1697" "1698" "1699" "1700"
## [1701] "1701" "1702" "1703" "1704" "1705" "1706" "1707" "1708" "1709" "1710"
## [1711] "1711" "1712" "1713" "1714" "1715" "1716" "1717" "1718" "1719" "1720"
## [1721] "1721" "1722" "1723" "1724" "1725" "1726" "1727" "1728" "1729" "1730"
## [1731] "1731" "1732" "1733" "1734" "1735" "1736" "1737" "1738" "1739" "1740"
## [1741] "1741" "1742" "1743" "1744" "1745" "1746" "1747" "1748" "1749" "1750"
## [1751] "1751" "1752" "1753" "1754" "1755" "1756" "1757" "1758" "1759" "1760"
## [1761] "1761" "1762" "1763" "1764" "1765" "1766" "1767" "1768" "1769" "1770"
## [1771] "1771" "1772" "1773" "1774" "1775" "1776" "1777" "1778" "1779" "1780"
## [1781] "1781" "1782" "1783" "1784" "1785" "1786" "1787" "1788" "1789" "1790"
## [1791] "1791" "1792" "1793" "1794" "1795" "1796" "1797" "1798" "1799" "1800"
## [1801] "1801" "1802" "1803" "1804" "1805" "1806" "1807" "1808" "1809" "1810"
## [1811] "1811" "1812" "1813" "1814" "1815" "1816" "1817" "1818" "1819" "1820"
## [1821] "1821" "1822" "1823" "1824" "1825" "1826" "1827" "1828" "1829" "1830"
## [1831] "1831" "1832" "1833" "1834" "1835" "1836" "1837" "1838" "1839" "1840"
## [1841] "1841" "1842" "1843" "1844" "1845" "1846" "1847" "1848" "1849" "1850"
## [1851] "1851" "1852" "1853" "1854" "1855" "1856" "1857" "1858" "1859" "1860"
## [1861] "1861" "1862" "1863" "1864" "1865" "1866" "1867" "1868" "1869" "1870"
## [1871] "1871" "1872" "1873" "1874" "1875" "1876" "1877" "1878" "1879" "1880"
## [1881] "1881" "1882" "1883" "1884" "1885" "1886" "1887" "1888" "1889" "1890"
## [1891] "1891" "1892" "1893" "1894" "1895" "1896" "1897" "1898" "1899" "1900"
## [1901] "1901" "1902" "1903" "1904" "1905" "1906" "1907" "1908" "1909" "1910"
## [1911] "1911" "1912" "1913" "1914" "1915" "1916" "1917" "1918" "1919" "1920"
## [1921] "1921" "1922" "1923" "1924" "1925" "1926" "1927" "1928" "1929" "1930"
## [1931] "1931" "1932" "1933" "1934" "1935" "1936" "1937" "1938" "1939" "1940"
## [1941] "1941" "1942" "1943" "1944" "1945" "1946" "1947" "1948" "1949"col(df)## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11]
## [1,] 1 2 3 4 5 6 7 8 9 10 11
## [2,] 1 2 3 4 5 6 7 8 9 10 11
## [3,] 1 2 3 4 5 6 7 8 9 10 11
## [4,] 1 2 3 4 5 6 7 8 9 10 11
## [5,] 1 2 3 4 5 6 7 8 9 10 11
## [6,] 1 2 3 4 5 6 7 8 9 10 11
## [7,] 1 2 3 4 5 6 7 8 9 10 11
## [8,] 1 2 3 4 5 6 7 8 9 10 11
## [9,] 1 2 3 4 5 6 7 8 9 10 11
## [10,] 1 2 3 4 5 6 7 8 9 10 11
## [11,] 1 2 3 4 5 6 7 8 9 10 11
## [12,] 1 2 3 4 5 6 7 8 9 10 11
## [13,] 1 2 3 4 5 6 7 8 9 10 11
## [14,] 1 2 3 4 5 6 7 8 9 10 11
## [15,] 1 2 3 4 5 6 7 8 9 10 11
## [16,] 1 2 3 4 5 6 7 8 9 10 11
## [17,] 1 2 3 4 5 6 7 8 9 10 11
## [18,] 1 2 3 4 5 6 7 8 9 10 11
## [19,] 1 2 3 4 5 6 7 8 9 10 11
## [20,] 1 2 3 4 5 6 7 8 9 10 11
## [21,] 1 2 3 4 5 6 7 8 9 10 11
## [22,] 1 2 3 4 5 6 7 8 9 10 11
## [23,] 1 2 3 4 5 6 7 8 9 10 11
## [24,] 1 2 3 4 5 6 7 8 9 10 11
## [25,] 1 2 3 4 5 6 7 8 9 10 11
## [26,] 1 2 3 4 5 6 7 8 9 10 11
## [27,] 1 2 3 4 5 6 7 8 9 10 11
## [28,] 1 2 3 4 5 6 7 8 9 10 11
## [29,] 1 2 3 4 5 6 7 8 9 10 11
## [30,] 1 2 3 4 5 6 7 8 9 10 11
## [31,] 1 2 3 4 5 6 7 8 9 10 11
## [32,] 1 2 3 4 5 6 7 8 9 10 11
## [33,] 1 2 3 4 5 6 7 8 9 10 11
## [34,] 1 2 3 4 5 6 7 8 9 10 11
## [35,] 1 2 3 4 5 6 7 8 9 10 11
## [36,] 1 2 3 4 5 6 7 8 9 10 11
## [37,] 1 2 3 4 5 6 7 8 9 10 11
## [38,] 1 2 3 4 5 6 7 8 9 10 11
## [39,] 1 2 3 4 5 6 7 8 9 10 11
## [40,] 1 2 3 4 5 6 7 8 9 10 11
## [41,] 1 2 3 4 5 6 7 8 9 10 11
## [42,] 1 2 3 4 5 6 7 8 9 10 11
## [43,] 1 2 3 4 5 6 7 8 9 10 11
## [44,] 1 2 3 4 5 6 7 8 9 10 11
## [45,] 1 2 3 4 5 6 7 8 9 10 11
## [46,] 1 2 3 4 5 6 7 8 9 10 11
## [47,] 1 2 3 4 5 6 7 8 9 10 11
## [48,] 1 2 3 4 5 6 7 8 9 10 11
## [49,] 1 2 3 4 5 6 7 8 9 10 11
## [50,] 1 2 3 4 5 6 7 8 9 10 11
## [51,] 1 2 3 4 5 6 7 8 9 10 11
## [52,] 1 2 3 4 5 6 7 8 9 10 11
## [53,] 1 2 3 4 5 6 7 8 9 10 11
## [54,] 1 2 3 4 5 6 7 8 9 10 11
## [55,] 1 2 3 4 5 6 7 8 9 10 11
## [56,] 1 2 3 4 5 6 7 8 9 10 11
## [57,] 1 2 3 4 5 6 7 8 9 10 11
## [58,] 1 2 3 4 5 6 7 8 9 10 11
## [59,] 1 2 3 4 5 6 7 8 9 10 11
## [60,] 1 2 3 4 5 6 7 8 9 10 11
## [61,] 1 2 3 4 5 6 7 8 9 10 11
## [62,] 1 2 3 4 5 6 7 8 9 10 11
## [63,] 1 2 3 4 5 6 7 8 9 10 11
## [64,] 1 2 3 4 5 6 7 8 9 10 11
## [65,] 1 2 3 4 5 6 7 8 9 10 11
## [66,] 1 2 3 4 5 6 7 8 9 10 11
## [67,] 1 2 3 4 5 6 7 8 9 10 11
## [68,] 1 2 3 4 5 6 7 8 9 10 11
## [69,] 1 2 3 4 5 6 7 8 9 10 11
## [70,] 1 2 3 4 5 6 7 8 9 10 11
## [71,] 1 2 3 4 5 6 7 8 9 10 11
## [72,] 1 2 3 4 5 6 7 8 9 10 11
## [73,] 1 2 3 4 5 6 7 8 9 10 11
## [74,] 1 2 3 4 5 6 7 8 9 10 11
## [75,] 1 2 3 4 5 6 7 8 9 10 11
## [76,] 1 2 3 4 5 6 7 8 9 10 11
## [77,] 1 2 3 4 5 6 7 8 9 10 11
## [78,] 1 2 3 4 5 6 7 8 9 10 11
## [79,] 1 2 3 4 5 6 7 8 9 10 11
## [80,] 1 2 3 4 5 6 7 8 9 10 11
## [81,] 1 2 3 4 5 6 7 8 9 10 11
## [82,] 1 2 3 4 5 6 7 8 9 10 11
## [83,] 1 2 3 4 5 6 7 8 9 10 11
## [84,] 1 2 3 4 5 6 7 8 9 10 11
## [85,] 1 2 3 4 5 6 7 8 9 10 11
## [86,] 1 2 3 4 5 6 7 8 9 10 11
## [87,] 1 2 3 4 5 6 7 8 9 10 11
## [88,] 1 2 3 4 5 6 7 8 9 10 11
## [89,] 1 2 3 4 5 6 7 8 9 10 11
## [90,] 1 2 3 4 5 6 7 8 9 10 11
## [91,] 1 2 3 4 5 6 7 8 9 10 11
## [92,] 1 2 3 4 5 6 7 8 9 10 11
## [93,] 1 2 3 4 5 6 7 8 9 10 11
## [94,] 1 2 3 4 5 6 7 8 9 10 11
## [95,] 1 2 3 4 5 6 7 8 9 10 11
## [96,] 1 2 3 4 5 6 7 8 9 10 11
## [97,] 1 2 3 4 5 6 7 8 9 10 11
## [98,] 1 2 3 4 5 6 7 8 9 10 11
## [99,] 1 2 3 4 5 6 7 8 9 10 11
## [100,] 1 2 3 4 5 6 7 8 9 10 11
## [101,] 1 2 3 4 5 6 7 8 9 10 11
## [102,] 1 2 3 4 5 6 7 8 9 10 11
## [103,] 1 2 3 4 5 6 7 8 9 10 11
## [104,] 1 2 3 4 5 6 7 8 9 10 11
## [105,] 1 2 3 4 5 6 7 8 9 10 11
## [106,] 1 2 3 4 5 6 7 8 9 10 11
## [107,] 1 2 3 4 5 6 7 8 9 10 11
## [108,] 1 2 3 4 5 6 7 8 9 10 11
## [109,] 1 2 3 4 5 6 7 8 9 10 11
## [110,] 1 2 3 4 5 6 7 8 9 10 11
## [111,] 1 2 3 4 5 6 7 8 9 10 11
## [112,] 1 2 3 4 5 6 7 8 9 10 11
## [113,] 1 2 3 4 5 6 7 8 9 10 11
## [114,] 1 2 3 4 5 6 7 8 9 10 11
## [115,] 1 2 3 4 5 6 7 8 9 10 11
## [116,] 1 2 3 4 5 6 7 8 9 10 11
## [117,] 1 2 3 4 5 6 7 8 9 10 11
## [118,] 1 2 3 4 5 6 7 8 9 10 11
## [119,] 1 2 3 4 5 6 7 8 9 10 11
## [120,] 1 2 3 4 5 6 7 8 9 10 11
## [121,] 1 2 3 4 5 6 7 8 9 10 11
## [122,] 1 2 3 4 5 6 7 8 9 10 11
## [123,] 1 2 3 4 5 6 7 8 9 10 11
## [124,] 1 2 3 4 5 6 7 8 9 10 11
## [125,] 1 2 3 4 5 6 7 8 9 10 11
## [126,] 1 2 3 4 5 6 7 8 9 10 11
## [127,] 1 2 3 4 5 6 7 8 9 10 11
## [128,] 1 2 3 4 5 6 7 8 9 10 11
## [129,] 1 2 3 4 5 6 7 8 9 10 11
## [130,] 1 2 3 4 5 6 7 8 9 10 11
## [131,] 1 2 3 4 5 6 7 8 9 10 11
## [132,] 1 2 3 4 5 6 7 8 9 10 11
## [133,] 1 2 3 4 5 6 7 8 9 10 11
## [134,] 1 2 3 4 5 6 7 8 9 10 11
## [135,] 1 2 3 4 5 6 7 8 9 10 11
## [136,] 1 2 3 4 5 6 7 8 9 10 11
## [137,] 1 2 3 4 5 6 7 8 9 10 11
## [138,] 1 2 3 4 5 6 7 8 9 10 11
## [139,] 1 2 3 4 5 6 7 8 9 10 11
## [140,] 1 2 3 4 5 6 7 8 9 10 11
## [141,] 1 2 3 4 5 6 7 8 9 10 11
## [142,] 1 2 3 4 5 6 7 8 9 10 11
## [143,] 1 2 3 4 5 6 7 8 9 10 11
## [144,] 1 2 3 4 5 6 7 8 9 10 11
## [145,] 1 2 3 4 5 6 7 8 9 10 11
## [146,] 1 2 3 4 5 6 7 8 9 10 11
## [147,] 1 2 3 4 5 6 7 8 9 10 11
## [148,] 1 2 3 4 5 6 7 8 9 10 11
## [149,] 1 2 3 4 5 6 7 8 9 10 11
## [150,] 1 2 3 4 5 6 7 8 9 10 11
## [151,] 1 2 3 4 5 6 7 8 9 10 11
## [152,] 1 2 3 4 5 6 7 8 9 10 11
## [153,] 1 2 3 4 5 6 7 8 9 10 11
## [154,] 1 2 3 4 5 6 7 8 9 10 11
## [155,] 1 2 3 4 5 6 7 8 9 10 11
## [156,] 1 2 3 4 5 6 7 8 9 10 11
## [157,] 1 2 3 4 5 6 7 8 9 10 11
## [158,] 1 2 3 4 5 6 7 8 9 10 11
## [159,] 1 2 3 4 5 6 7 8 9 10 11
## [160,] 1 2 3 4 5 6 7 8 9 10 11
## [161,] 1 2 3 4 5 6 7 8 9 10 11
## [162,] 1 2 3 4 5 6 7 8 9 10 11
## [163,] 1 2 3 4 5 6 7 8 9 10 11
## [164,] 1 2 3 4 5 6 7 8 9 10 11
## [165,] 1 2 3 4 5 6 7 8 9 10 11
## [166,] 1 2 3 4 5 6 7 8 9 10 11
## [167,] 1 2 3 4 5 6 7 8 9 10 11
## [168,] 1 2 3 4 5 6 7 8 9 10 11
## [169,] 1 2 3 4 5 6 7 8 9 10 11
## [170,] 1 2 3 4 5 6 7 8 9 10 11
## [171,] 1 2 3 4 5 6 7 8 9 10 11
## [172,] 1 2 3 4 5 6 7 8 9 10 11
## [173,] 1 2 3 4 5 6 7 8 9 10 11
## [174,] 1 2 3 4 5 6 7 8 9 10 11
## [175,] 1 2 3 4 5 6 7 8 9 10 11
## [176,] 1 2 3 4 5 6 7 8 9 10 11
## [177,] 1 2 3 4 5 6 7 8 9 10 11
## [178,] 1 2 3 4 5 6 7 8 9 10 11
## [179,] 1 2 3 4 5 6 7 8 9 10 11
## [180,] 1 2 3 4 5 6 7 8 9 10 11
## [181,] 1 2 3 4 5 6 7 8 9 10 11
## [182,] 1 2 3 4 5 6 7 8 9 10 11
## [183,] 1 2 3 4 5 6 7 8 9 10 11
## [184,] 1 2 3 4 5 6 7 8 9 10 11
## [185,] 1 2 3 4 5 6 7 8 9 10 11
## [186,] 1 2 3 4 5 6 7 8 9 10 11
## [187,] 1 2 3 4 5 6 7 8 9 10 11
## [188,] 1 2 3 4 5 6 7 8 9 10 11
## [189,] 1 2 3 4 5 6 7 8 9 10 11
## [190,] 1 2 3 4 5 6 7 8 9 10 11
## [191,] 1 2 3 4 5 6 7 8 9 10 11
## [192,] 1 2 3 4 5 6 7 8 9 10 11
## [193,] 1 2 3 4 5 6 7 8 9 10 11
## [194,] 1 2 3 4 5 6 7 8 9 10 11
## [195,] 1 2 3 4 5 6 7 8 9 10 11
## [196,] 1 2 3 4 5 6 7 8 9 10 11
## [197,] 1 2 3 4 5 6 7 8 9 10 11
## [198,] 1 2 3 4 5 6 7 8 9 10 11
## [199,] 1 2 3 4 5 6 7 8 9 10 11
## [200,] 1 2 3 4 5 6 7 8 9 10 11
## [201,] 1 2 3 4 5 6 7 8 9 10 11
## [202,] 1 2 3 4 5 6 7 8 9 10 11
## [203,] 1 2 3 4 5 6 7 8 9 10 11
## [204,] 1 2 3 4 5 6 7 8 9 10 11
## [205,] 1 2 3 4 5 6 7 8 9 10 11
## [206,] 1 2 3 4 5 6 7 8 9 10 11
## [207,] 1 2 3 4 5 6 7 8 9 10 11
## [208,] 1 2 3 4 5 6 7 8 9 10 11
## [209,] 1 2 3 4 5 6 7 8 9 10 11
## [210,] 1 2 3 4 5 6 7 8 9 10 11
## [211,] 1 2 3 4 5 6 7 8 9 10 11
## [212,] 1 2 3 4 5 6 7 8 9 10 11
## [213,] 1 2 3 4 5 6 7 8 9 10 11
## [214,] 1 2 3 4 5 6 7 8 9 10 11
## [215,] 1 2 3 4 5 6 7 8 9 10 11
## [216,] 1 2 3 4 5 6 7 8 9 10 11
## [217,] 1 2 3 4 5 6 7 8 9 10 11
## [218,] 1 2 3 4 5 6 7 8 9 10 11
## [219,] 1 2 3 4 5 6 7 8 9 10 11
## [220,] 1 2 3 4 5 6 7 8 9 10 11
## [221,] 1 2 3 4 5 6 7 8 9 10 11
## [222,] 1 2 3 4 5 6 7 8 9 10 11
## [223,] 1 2 3 4 5 6 7 8 9 10 11
## [224,] 1 2 3 4 5 6 7 8 9 10 11
## [225,] 1 2 3 4 5 6 7 8 9 10 11
## [226,] 1 2 3 4 5 6 7 8 9 10 11
## [227,] 1 2 3 4 5 6 7 8 9 10 11
## [228,] 1 2 3 4 5 6 7 8 9 10 11
## [229,] 1 2 3 4 5 6 7 8 9 10 11
## [230,] 1 2 3 4 5 6 7 8 9 10 11
## [231,] 1 2 3 4 5 6 7 8 9 10 11
## [232,] 1 2 3 4 5 6 7 8 9 10 11
## [233,] 1 2 3 4 5 6 7 8 9 10 11
## [234,] 1 2 3 4 5 6 7 8 9 10 11
## [235,] 1 2 3 4 5 6 7 8 9 10 11
## [236,] 1 2 3 4 5 6 7 8 9 10 11
## [237,] 1 2 3 4 5 6 7 8 9 10 11
## [238,] 1 2 3 4 5 6 7 8 9 10 11
## [239,] 1 2 3 4 5 6 7 8 9 10 11
## [240,] 1 2 3 4 5 6 7 8 9 10 11
## [241,] 1 2 3 4 5 6 7 8 9 10 11
## [242,] 1 2 3 4 5 6 7 8 9 10 11
## [243,] 1 2 3 4 5 6 7 8 9 10 11
## [244,] 1 2 3 4 5 6 7 8 9 10 11
## [245,] 1 2 3 4 5 6 7 8 9 10 11
## [246,] 1 2 3 4 5 6 7 8 9 10 11
## [247,] 1 2 3 4 5 6 7 8 9 10 11
## [248,] 1 2 3 4 5 6 7 8 9 10 11
## [249,] 1 2 3 4 5 6 7 8 9 10 11
## [250,] 1 2 3 4 5 6 7 8 9 10 11
## [251,] 1 2 3 4 5 6 7 8 9 10 11
## [252,] 1 2 3 4 5 6 7 8 9 10 11
## [253,] 1 2 3 4 5 6 7 8 9 10 11
## [254,] 1 2 3 4 5 6 7 8 9 10 11
## [255,] 1 2 3 4 5 6 7 8 9 10 11
## [256,] 1 2 3 4 5 6 7 8 9 10 11
## [257,] 1 2 3 4 5 6 7 8 9 10 11
## [258,] 1 2 3 4 5 6 7 8 9 10 11
## [259,] 1 2 3 4 5 6 7 8 9 10 11
## [260,] 1 2 3 4 5 6 7 8 9 10 11
## [261,] 1 2 3 4 5 6 7 8 9 10 11
## [262,] 1 2 3 4 5 6 7 8 9 10 11
## [263,] 1 2 3 4 5 6 7 8 9 10 11
## [264,] 1 2 3 4 5 6 7 8 9 10 11
## [265,] 1 2 3 4 5 6 7 8 9 10 11
## [266,] 1 2 3 4 5 6 7 8 9 10 11
## [267,] 1 2 3 4 5 6 7 8 9 10 11
## [268,] 1 2 3 4 5 6 7 8 9 10 11
## [269,] 1 2 3 4 5 6 7 8 9 10 11
## [270,] 1 2 3 4 5 6 7 8 9 10 11
## [271,] 1 2 3 4 5 6 7 8 9 10 11
## [272,] 1 2 3 4 5 6 7 8 9 10 11
## [273,] 1 2 3 4 5 6 7 8 9 10 11
## [274,] 1 2 3 4 5 6 7 8 9 10 11
## [275,] 1 2 3 4 5 6 7 8 9 10 11
## [276,] 1 2 3 4 5 6 7 8 9 10 11
## [277,] 1 2 3 4 5 6 7 8 9 10 11
## [278,] 1 2 3 4 5 6 7 8 9 10 11
## [279,] 1 2 3 4 5 6 7 8 9 10 11
## [280,] 1 2 3 4 5 6 7 8 9 10 11
## [281,] 1 2 3 4 5 6 7 8 9 10 11
## [282,] 1 2 3 4 5 6 7 8 9 10 11
## [283,] 1 2 3 4 5 6 7 8 9 10 11
## [284,] 1 2 3 4 5 6 7 8 9 10 11
## [285,] 1 2 3 4 5 6 7 8 9 10 11
## [286,] 1 2 3 4 5 6 7 8 9 10 11
## [287,] 1 2 3 4 5 6 7 8 9 10 11
## [288,] 1 2 3 4 5 6 7 8 9 10 11
## [289,] 1 2 3 4 5 6 7 8 9 10 11
## [290,] 1 2 3 4 5 6 7 8 9 10 11
## [291,] 1 2 3 4 5 6 7 8 9 10 11
## [292,] 1 2 3 4 5 6 7 8 9 10 11
## [293,] 1 2 3 4 5 6 7 8 9 10 11
## [294,] 1 2 3 4 5 6 7 8 9 10 11
## [295,] 1 2 3 4 5 6 7 8 9 10 11
## [296,] 1 2 3 4 5 6 7 8 9 10 11
## [297,] 1 2 3 4 5 6 7 8 9 10 11
## [298,] 1 2 3 4 5 6 7 8 9 10 11
## [299,] 1 2 3 4 5 6 7 8 9 10 11
## [300,] 1 2 3 4 5 6 7 8 9 10 11
## [301,] 1 2 3 4 5 6 7 8 9 10 11
## [302,] 1 2 3 4 5 6 7 8 9 10 11
## [303,] 1 2 3 4 5 6 7 8 9 10 11
## [304,] 1 2 3 4 5 6 7 8 9 10 11
## [305,] 1 2 3 4 5 6 7 8 9 10 11
## [306,] 1 2 3 4 5 6 7 8 9 10 11
## [307,] 1 2 3 4 5 6 7 8 9 10 11
## [308,] 1 2 3 4 5 6 7 8 9 10 11
## [309,] 1 2 3 4 5 6 7 8 9 10 11
## [310,] 1 2 3 4 5 6 7 8 9 10 11
## [311,] 1 2 3 4 5 6 7 8 9 10 11
## [312,] 1 2 3 4 5 6 7 8 9 10 11
## [313,] 1 2 3 4 5 6 7 8 9 10 11
## [314,] 1 2 3 4 5 6 7 8 9 10 11
## [315,] 1 2 3 4 5 6 7 8 9 10 11
## [316,] 1 2 3 4 5 6 7 8 9 10 11
## [317,] 1 2 3 4 5 6 7 8 9 10 11
## [318,] 1 2 3 4 5 6 7 8 9 10 11
## [319,] 1 2 3 4 5 6 7 8 9 10 11
## [320,] 1 2 3 4 5 6 7 8 9 10 11
## [321,] 1 2 3 4 5 6 7 8 9 10 11
## [322,] 1 2 3 4 5 6 7 8 9 10 11
## [323,] 1 2 3 4 5 6 7 8 9 10 11
## [324,] 1 2 3 4 5 6 7 8 9 10 11
## [325,] 1 2 3 4 5 6 7 8 9 10 11
## [326,] 1 2 3 4 5 6 7 8 9 10 11
## [327,] 1 2 3 4 5 6 7 8 9 10 11
## [328,] 1 2 3 4 5 6 7 8 9 10 11
## [329,] 1 2 3 4 5 6 7 8 9 10 11
## [330,] 1 2 3 4 5 6 7 8 9 10 11
## [331,] 1 2 3 4 5 6 7 8 9 10 11
## [332,] 1 2 3 4 5 6 7 8 9 10 11
## [333,] 1 2 3 4 5 6 7 8 9 10 11
## [334,] 1 2 3 4 5 6 7 8 9 10 11
## [335,] 1 2 3 4 5 6 7 8 9 10 11
## [336,] 1 2 3 4 5 6 7 8 9 10 11
## [337,] 1 2 3 4 5 6 7 8 9 10 11
## [338,] 1 2 3 4 5 6 7 8 9 10 11
## [339,] 1 2 3 4 5 6 7 8 9 10 11
## [340,] 1 2 3 4 5 6 7 8 9 10 11
## [341,] 1 2 3 4 5 6 7 8 9 10 11
## [342,] 1 2 3 4 5 6 7 8 9 10 11
## [343,] 1 2 3 4 5 6 7 8 9 10 11
## [344,] 1 2 3 4 5 6 7 8 9 10 11
## [345,] 1 2 3 4 5 6 7 8 9 10 11
## [346,] 1 2 3 4 5 6 7 8 9 10 11
## [347,] 1 2 3 4 5 6 7 8 9 10 11
## [348,] 1 2 3 4 5 6 7 8 9 10 11
## [349,] 1 2 3 4 5 6 7 8 9 10 11
## [350,] 1 2 3 4 5 6 7 8 9 10 11
## [351,] 1 2 3 4 5 6 7 8 9 10 11
## [352,] 1 2 3 4 5 6 7 8 9 10 11
## [353,] 1 2 3 4 5 6 7 8 9 10 11
## [354,] 1 2 3 4 5 6 7 8 9 10 11
## [355,] 1 2 3 4 5 6 7 8 9 10 11
## [356,] 1 2 3 4 5 6 7 8 9 10 11
## [357,] 1 2 3 4 5 6 7 8 9 10 11
## [358,] 1 2 3 4 5 6 7 8 9 10 11
## [359,] 1 2 3 4 5 6 7 8 9 10 11
## [360,] 1 2 3 4 5 6 7 8 9 10 11
## [361,] 1 2 3 4 5 6 7 8 9 10 11
## [362,] 1 2 3 4 5 6 7 8 9 10 11
## [363,] 1 2 3 4 5 6 7 8 9 10 11
## [364,] 1 2 3 4 5 6 7 8 9 10 11
## [365,] 1 2 3 4 5 6 7 8 9 10 11
## [366,] 1 2 3 4 5 6 7 8 9 10 11
## [367,] 1 2 3 4 5 6 7 8 9 10 11
## [368,] 1 2 3 4 5 6 7 8 9 10 11
## [369,] 1 2 3 4 5 6 7 8 9 10 11
## [370,] 1 2 3 4 5 6 7 8 9 10 11
## [371,] 1 2 3 4 5 6 7 8 9 10 11
## [372,] 1 2 3 4 5 6 7 8 9 10 11
## [373,] 1 2 3 4 5 6 7 8 9 10 11
## [374,] 1 2 3 4 5 6 7 8 9 10 11
## [375,] 1 2 3 4 5 6 7 8 9 10 11
## [376,] 1 2 3 4 5 6 7 8 9 10 11
## [377,] 1 2 3 4 5 6 7 8 9 10 11
## [378,] 1 2 3 4 5 6 7 8 9 10 11
## [379,] 1 2 3 4 5 6 7 8 9 10 11
## [380,] 1 2 3 4 5 6 7 8 9 10 11
## [381,] 1 2 3 4 5 6 7 8 9 10 11
## [382,] 1 2 3 4 5 6 7 8 9 10 11
## [383,] 1 2 3 4 5 6 7 8 9 10 11
## [384,] 1 2 3 4 5 6 7 8 9 10 11
## [385,] 1 2 3 4 5 6 7 8 9 10 11
## [386,] 1 2 3 4 5 6 7 8 9 10 11
## [387,] 1 2 3 4 5 6 7 8 9 10 11
## [388,] 1 2 3 4 5 6 7 8 9 10 11
## [389,] 1 2 3 4 5 6 7 8 9 10 11
## [390,] 1 2 3 4 5 6 7 8 9 10 11
## [391,] 1 2 3 4 5 6 7 8 9 10 11
## [392,] 1 2 3 4 5 6 7 8 9 10 11
## [393,] 1 2 3 4 5 6 7 8 9 10 11
## [394,] 1 2 3 4 5 6 7 8 9 10 11
## [395,] 1 2 3 4 5 6 7 8 9 10 11
## [396,] 1 2 3 4 5 6 7 8 9 10 11
## [397,] 1 2 3 4 5 6 7 8 9 10 11
## [398,] 1 2 3 4 5 6 7 8 9 10 11
## [399,] 1 2 3 4 5 6 7 8 9 10 11
## [400,] 1 2 3 4 5 6 7 8 9 10 11
## [401,] 1 2 3 4 5 6 7 8 9 10 11
## [402,] 1 2 3 4 5 6 7 8 9 10 11
## [403,] 1 2 3 4 5 6 7 8 9 10 11
## [404,] 1 2 3 4 5 6 7 8 9 10 11
## [405,] 1 2 3 4 5 6 7 8 9 10 11
## [406,] 1 2 3 4 5 6 7 8 9 10 11
## [407,] 1 2 3 4 5 6 7 8 9 10 11
## [408,] 1 2 3 4 5 6 7 8 9 10 11
## [409,] 1 2 3 4 5 6 7 8 9 10 11
## [410,] 1 2 3 4 5 6 7 8 9 10 11
## [411,] 1 2 3 4 5 6 7 8 9 10 11
## [412,] 1 2 3 4 5 6 7 8 9 10 11
## [413,] 1 2 3 4 5 6 7 8 9 10 11
## [414,] 1 2 3 4 5 6 7 8 9 10 11
## [415,] 1 2 3 4 5 6 7 8 9 10 11
## [416,] 1 2 3 4 5 6 7 8 9 10 11
## [417,] 1 2 3 4 5 6 7 8 9 10 11
## [418,] 1 2 3 4 5 6 7 8 9 10 11
## [419,] 1 2 3 4 5 6 7 8 9 10 11
## [420,] 1 2 3 4 5 6 7 8 9 10 11
## [421,] 1 2 3 4 5 6 7 8 9 10 11
## [422,] 1 2 3 4 5 6 7 8 9 10 11
## [423,] 1 2 3 4 5 6 7 8 9 10 11
## [424,] 1 2 3 4 5 6 7 8 9 10 11
## [425,] 1 2 3 4 5 6 7 8 9 10 11
## [426,] 1 2 3 4 5 6 7 8 9 10 11
## [427,] 1 2 3 4 5 6 7 8 9 10 11
## [428,] 1 2 3 4 5 6 7 8 9 10 11
## [429,] 1 2 3 4 5 6 7 8 9 10 11
## [430,] 1 2 3 4 5 6 7 8 9 10 11
## [431,] 1 2 3 4 5 6 7 8 9 10 11
## [432,] 1 2 3 4 5 6 7 8 9 10 11
## [433,] 1 2 3 4 5 6 7 8 9 10 11
## [434,] 1 2 3 4 5 6 7 8 9 10 11
## [435,] 1 2 3 4 5 6 7 8 9 10 11
## [436,] 1 2 3 4 5 6 7 8 9 10 11
## [437,] 1 2 3 4 5 6 7 8 9 10 11
## [438,] 1 2 3 4 5 6 7 8 9 10 11
## [439,] 1 2 3 4 5 6 7 8 9 10 11
## [440,] 1 2 3 4 5 6 7 8 9 10 11
## [441,] 1 2 3 4 5 6 7 8 9 10 11
## [442,] 1 2 3 4 5 6 7 8 9 10 11
## [443,] 1 2 3 4 5 6 7 8 9 10 11
## [444,] 1 2 3 4 5 6 7 8 9 10 11
## [445,] 1 2 3 4 5 6 7 8 9 10 11
## [446,] 1 2 3 4 5 6 7 8 9 10 11
## [447,] 1 2 3 4 5 6 7 8 9 10 11
## [448,] 1 2 3 4 5 6 7 8 9 10 11
## [449,] 1 2 3 4 5 6 7 8 9 10 11
## [450,] 1 2 3 4 5 6 7 8 9 10 11
## [451,] 1 2 3 4 5 6 7 8 9 10 11
## [452,] 1 2 3 4 5 6 7 8 9 10 11
## [453,] 1 2 3 4 5 6 7 8 9 10 11
## [454,] 1 2 3 4 5 6 7 8 9 10 11
## [455,] 1 2 3 4 5 6 7 8 9 10 11
## [456,] 1 2 3 4 5 6 7 8 9 10 11
## [457,] 1 2 3 4 5 6 7 8 9 10 11
## [458,] 1 2 3 4 5 6 7 8 9 10 11
## [459,] 1 2 3 4 5 6 7 8 9 10 11
## [460,] 1 2 3 4 5 6 7 8 9 10 11
## [461,] 1 2 3 4 5 6 7 8 9 10 11
## [462,] 1 2 3 4 5 6 7 8 9 10 11
## [463,] 1 2 3 4 5 6 7 8 9 10 11
## [464,] 1 2 3 4 5 6 7 8 9 10 11
## [465,] 1 2 3 4 5 6 7 8 9 10 11
## [466,] 1 2 3 4 5 6 7 8 9 10 11
## [467,] 1 2 3 4 5 6 7 8 9 10 11
## [468,] 1 2 3 4 5 6 7 8 9 10 11
## [469,] 1 2 3 4 5 6 7 8 9 10 11
## [470,] 1 2 3 4 5 6 7 8 9 10 11
## [471,] 1 2 3 4 5 6 7 8 9 10 11
## [472,] 1 2 3 4 5 6 7 8 9 10 11
## [473,] 1 2 3 4 5 6 7 8 9 10 11
## [474,] 1 2 3 4 5 6 7 8 9 10 11
## [475,] 1 2 3 4 5 6 7 8 9 10 11
## [476,] 1 2 3 4 5 6 7 8 9 10 11
## [477,] 1 2 3 4 5 6 7 8 9 10 11
## [478,] 1 2 3 4 5 6 7 8 9 10 11
## [479,] 1 2 3 4 5 6 7 8 9 10 11
## [480,] 1 2 3 4 5 6 7 8 9 10 11
## [481,] 1 2 3 4 5 6 7 8 9 10 11
## [482,] 1 2 3 4 5 6 7 8 9 10 11
## [483,] 1 2 3 4 5 6 7 8 9 10 11
## [484,] 1 2 3 4 5 6 7 8 9 10 11
## [485,] 1 2 3 4 5 6 7 8 9 10 11
## [486,] 1 2 3 4 5 6 7 8 9 10 11
## [487,] 1 2 3 4 5 6 7 8 9 10 11
## [488,] 1 2 3 4 5 6 7 8 9 10 11
## [489,] 1 2 3 4 5 6 7 8 9 10 11
## [490,] 1 2 3 4 5 6 7 8 9 10 11
## [491,] 1 2 3 4 5 6 7 8 9 10 11
## [492,] 1 2 3 4 5 6 7 8 9 10 11
## [493,] 1 2 3 4 5 6 7 8 9 10 11
## [494,] 1 2 3 4 5 6 7 8 9 10 11
## [495,] 1 2 3 4 5 6 7 8 9 10 11
## [496,] 1 2 3 4 5 6 7 8 9 10 11
## [497,] 1 2 3 4 5 6 7 8 9 10 11
## [498,] 1 2 3 4 5 6 7 8 9 10 11
## [499,] 1 2 3 4 5 6 7 8 9 10 11
## [500,] 1 2 3 4 5 6 7 8 9 10 11
## [501,] 1 2 3 4 5 6 7 8 9 10 11
## [502,] 1 2 3 4 5 6 7 8 9 10 11
## [503,] 1 2 3 4 5 6 7 8 9 10 11
## [504,] 1 2 3 4 5 6 7 8 9 10 11
## [505,] 1 2 3 4 5 6 7 8 9 10 11
## [506,] 1 2 3 4 5 6 7 8 9 10 11
## [507,] 1 2 3 4 5 6 7 8 9 10 11
## [508,] 1 2 3 4 5 6 7 8 9 10 11
## [509,] 1 2 3 4 5 6 7 8 9 10 11
## [510,] 1 2 3 4 5 6 7 8 9 10 11
## [511,] 1 2 3 4 5 6 7 8 9 10 11
## [512,] 1 2 3 4 5 6 7 8 9 10 11
## [513,] 1 2 3 4 5 6 7 8 9 10 11
## [514,] 1 2 3 4 5 6 7 8 9 10 11
## [515,] 1 2 3 4 5 6 7 8 9 10 11
## [516,] 1 2 3 4 5 6 7 8 9 10 11
## [517,] 1 2 3 4 5 6 7 8 9 10 11
## [518,] 1 2 3 4 5 6 7 8 9 10 11
## [519,] 1 2 3 4 5 6 7 8 9 10 11
## [520,] 1 2 3 4 5 6 7 8 9 10 11
## [521,] 1 2 3 4 5 6 7 8 9 10 11
## [522,] 1 2 3 4 5 6 7 8 9 10 11
## [523,] 1 2 3 4 5 6 7 8 9 10 11
## [524,] 1 2 3 4 5 6 7 8 9 10 11
## [525,] 1 2 3 4 5 6 7 8 9 10 11
## [526,] 1 2 3 4 5 6 7 8 9 10 11
## [527,] 1 2 3 4 5 6 7 8 9 10 11
## [528,] 1 2 3 4 5 6 7 8 9 10 11
## [529,] 1 2 3 4 5 6 7 8 9 10 11
## [530,] 1 2 3 4 5 6 7 8 9 10 11
## [531,] 1 2 3 4 5 6 7 8 9 10 11
## [532,] 1 2 3 4 5 6 7 8 9 10 11
## [533,] 1 2 3 4 5 6 7 8 9 10 11
## [534,] 1 2 3 4 5 6 7 8 9 10 11
## [535,] 1 2 3 4 5 6 7 8 9 10 11
## [536,] 1 2 3 4 5 6 7 8 9 10 11
## [537,] 1 2 3 4 5 6 7 8 9 10 11
## [538,] 1 2 3 4 5 6 7 8 9 10 11
## [539,] 1 2 3 4 5 6 7 8 9 10 11
## [540,] 1 2 3 4 5 6 7 8 9 10 11
## [541,] 1 2 3 4 5 6 7 8 9 10 11
## [542,] 1 2 3 4 5 6 7 8 9 10 11
## [543,] 1 2 3 4 5 6 7 8 9 10 11
## [544,] 1 2 3 4 5 6 7 8 9 10 11
## [545,] 1 2 3 4 5 6 7 8 9 10 11
## [546,] 1 2 3 4 5 6 7 8 9 10 11
## [547,] 1 2 3 4 5 6 7 8 9 10 11
## [548,] 1 2 3 4 5 6 7 8 9 10 11
## [549,] 1 2 3 4 5 6 7 8 9 10 11
## [550,] 1 2 3 4 5 6 7 8 9 10 11
## [551,] 1 2 3 4 5 6 7 8 9 10 11
## [552,] 1 2 3 4 5 6 7 8 9 10 11
## [553,] 1 2 3 4 5 6 7 8 9 10 11
## [554,] 1 2 3 4 5 6 7 8 9 10 11
## [555,] 1 2 3 4 5 6 7 8 9 10 11
## [556,] 1 2 3 4 5 6 7 8 9 10 11
## [557,] 1 2 3 4 5 6 7 8 9 10 11
## [558,] 1 2 3 4 5 6 7 8 9 10 11
## [559,] 1 2 3 4 5 6 7 8 9 10 11
## [560,] 1 2 3 4 5 6 7 8 9 10 11
## [561,] 1 2 3 4 5 6 7 8 9 10 11
## [562,] 1 2 3 4 5 6 7 8 9 10 11
## [563,] 1 2 3 4 5 6 7 8 9 10 11
## [564,] 1 2 3 4 5 6 7 8 9 10 11
## [565,] 1 2 3 4 5 6 7 8 9 10 11
## [566,] 1 2 3 4 5 6 7 8 9 10 11
## [567,] 1 2 3 4 5 6 7 8 9 10 11
## [568,] 1 2 3 4 5 6 7 8 9 10 11
## [569,] 1 2 3 4 5 6 7 8 9 10 11
## [570,] 1 2 3 4 5 6 7 8 9 10 11
## [571,] 1 2 3 4 5 6 7 8 9 10 11
## [572,] 1 2 3 4 5 6 7 8 9 10 11
## [573,] 1 2 3 4 5 6 7 8 9 10 11
## [574,] 1 2 3 4 5 6 7 8 9 10 11
## [575,] 1 2 3 4 5 6 7 8 9 10 11
## [576,] 1 2 3 4 5 6 7 8 9 10 11
## [577,] 1 2 3 4 5 6 7 8 9 10 11
## [578,] 1 2 3 4 5 6 7 8 9 10 11
## [579,] 1 2 3 4 5 6 7 8 9 10 11
## [580,] 1 2 3 4 5 6 7 8 9 10 11
## [581,] 1 2 3 4 5 6 7 8 9 10 11
## [582,] 1 2 3 4 5 6 7 8 9 10 11
## [583,] 1 2 3 4 5 6 7 8 9 10 11
## [584,] 1 2 3 4 5 6 7 8 9 10 11
## [585,] 1 2 3 4 5 6 7 8 9 10 11
## [586,] 1 2 3 4 5 6 7 8 9 10 11
## [587,] 1 2 3 4 5 6 7 8 9 10 11
## [588,] 1 2 3 4 5 6 7 8 9 10 11
## [589,] 1 2 3 4 5 6 7 8 9 10 11
## [590,] 1 2 3 4 5 6 7 8 9 10 11
## [591,] 1 2 3 4 5 6 7 8 9 10 11
## [592,] 1 2 3 4 5 6 7 8 9 10 11
## [593,] 1 2 3 4 5 6 7 8 9 10 11
## [594,] 1 2 3 4 5 6 7 8 9 10 11
## [595,] 1 2 3 4 5 6 7 8 9 10 11
## [596,] 1 2 3 4 5 6 7 8 9 10 11
## [597,] 1 2 3 4 5 6 7 8 9 10 11
## [598,] 1 2 3 4 5 6 7 8 9 10 11
## [599,] 1 2 3 4 5 6 7 8 9 10 11
## [600,] 1 2 3 4 5 6 7 8 9 10 11
## [601,] 1 2 3 4 5 6 7 8 9 10 11
## [602,] 1 2 3 4 5 6 7 8 9 10 11
## [603,] 1 2 3 4 5 6 7 8 9 10 11
## [604,] 1 2 3 4 5 6 7 8 9 10 11
## [605,] 1 2 3 4 5 6 7 8 9 10 11
## [606,] 1 2 3 4 5 6 7 8 9 10 11
## [607,] 1 2 3 4 5 6 7 8 9 10 11
## [608,] 1 2 3 4 5 6 7 8 9 10 11
## [609,] 1 2 3 4 5 6 7 8 9 10 11
## [610,] 1 2 3 4 5 6 7 8 9 10 11
## [611,] 1 2 3 4 5 6 7 8 9 10 11
## [612,] 1 2 3 4 5 6 7 8 9 10 11
## [613,] 1 2 3 4 5 6 7 8 9 10 11
## [614,] 1 2 3 4 5 6 7 8 9 10 11
## [615,] 1 2 3 4 5 6 7 8 9 10 11
## [616,] 1 2 3 4 5 6 7 8 9 10 11
## [617,] 1 2 3 4 5 6 7 8 9 10 11
## [618,] 1 2 3 4 5 6 7 8 9 10 11
## [619,] 1 2 3 4 5 6 7 8 9 10 11
## [620,] 1 2 3 4 5 6 7 8 9 10 11
## [621,] 1 2 3 4 5 6 7 8 9 10 11
## [622,] 1 2 3 4 5 6 7 8 9 10 11
## [623,] 1 2 3 4 5 6 7 8 9 10 11
## [624,] 1 2 3 4 5 6 7 8 9 10 11
## [625,] 1 2 3 4 5 6 7 8 9 10 11
## [626,] 1 2 3 4 5 6 7 8 9 10 11
## [627,] 1 2 3 4 5 6 7 8 9 10 11
## [628,] 1 2 3 4 5 6 7 8 9 10 11
## [629,] 1 2 3 4 5 6 7 8 9 10 11
## [630,] 1 2 3 4 5 6 7 8 9 10 11
## [631,] 1 2 3 4 5 6 7 8 9 10 11
## [632,] 1 2 3 4 5 6 7 8 9 10 11
## [633,] 1 2 3 4 5 6 7 8 9 10 11
## [634,] 1 2 3 4 5 6 7 8 9 10 11
## [635,] 1 2 3 4 5 6 7 8 9 10 11
## [636,] 1 2 3 4 5 6 7 8 9 10 11
## [637,] 1 2 3 4 5 6 7 8 9 10 11
## [638,] 1 2 3 4 5 6 7 8 9 10 11
## [639,] 1 2 3 4 5 6 7 8 9 10 11
## [640,] 1 2 3 4 5 6 7 8 9 10 11
## [641,] 1 2 3 4 5 6 7 8 9 10 11
## [642,] 1 2 3 4 5 6 7 8 9 10 11
## [643,] 1 2 3 4 5 6 7 8 9 10 11
## [644,] 1 2 3 4 5 6 7 8 9 10 11
## [645,] 1 2 3 4 5 6 7 8 9 10 11
## [646,] 1 2 3 4 5 6 7 8 9 10 11
## [647,] 1 2 3 4 5 6 7 8 9 10 11
## [648,] 1 2 3 4 5 6 7 8 9 10 11
## [649,] 1 2 3 4 5 6 7 8 9 10 11
## [650,] 1 2 3 4 5 6 7 8 9 10 11
## [651,] 1 2 3 4 5 6 7 8 9 10 11
## [652,] 1 2 3 4 5 6 7 8 9 10 11
## [653,] 1 2 3 4 5 6 7 8 9 10 11
## [654,] 1 2 3 4 5 6 7 8 9 10 11
## [655,] 1 2 3 4 5 6 7 8 9 10 11
## [656,] 1 2 3 4 5 6 7 8 9 10 11
## [657,] 1 2 3 4 5 6 7 8 9 10 11
## [658,] 1 2 3 4 5 6 7 8 9 10 11
## [659,] 1 2 3 4 5 6 7 8 9 10 11
## [660,] 1 2 3 4 5 6 7 8 9 10 11
## [661,] 1 2 3 4 5 6 7 8 9 10 11
## [662,] 1 2 3 4 5 6 7 8 9 10 11
## [663,] 1 2 3 4 5 6 7 8 9 10 11
## [664,] 1 2 3 4 5 6 7 8 9 10 11
## [665,] 1 2 3 4 5 6 7 8 9 10 11
## [666,] 1 2 3 4 5 6 7 8 9 10 11
## [667,] 1 2 3 4 5 6 7 8 9 10 11
## [668,] 1 2 3 4 5 6 7 8 9 10 11
## [669,] 1 2 3 4 5 6 7 8 9 10 11
## [670,] 1 2 3 4 5 6 7 8 9 10 11
## [671,] 1 2 3 4 5 6 7 8 9 10 11
## [672,] 1 2 3 4 5 6 7 8 9 10 11
## [673,] 1 2 3 4 5 6 7 8 9 10 11
## [674,] 1 2 3 4 5 6 7 8 9 10 11
## [675,] 1 2 3 4 5 6 7 8 9 10 11
## [676,] 1 2 3 4 5 6 7 8 9 10 11
## [677,] 1 2 3 4 5 6 7 8 9 10 11
## [678,] 1 2 3 4 5 6 7 8 9 10 11
## [679,] 1 2 3 4 5 6 7 8 9 10 11
## [680,] 1 2 3 4 5 6 7 8 9 10 11
## [681,] 1 2 3 4 5 6 7 8 9 10 11
## [682,] 1 2 3 4 5 6 7 8 9 10 11
## [683,] 1 2 3 4 5 6 7 8 9 10 11
## [684,] 1 2 3 4 5 6 7 8 9 10 11
## [685,] 1 2 3 4 5 6 7 8 9 10 11
## [686,] 1 2 3 4 5 6 7 8 9 10 11
## [687,] 1 2 3 4 5 6 7 8 9 10 11
## [688,] 1 2 3 4 5 6 7 8 9 10 11
## [689,] 1 2 3 4 5 6 7 8 9 10 11
## [690,] 1 2 3 4 5 6 7 8 9 10 11
## [691,] 1 2 3 4 5 6 7 8 9 10 11
## [692,] 1 2 3 4 5 6 7 8 9 10 11
## [693,] 1 2 3 4 5 6 7 8 9 10 11
## [694,] 1 2 3 4 5 6 7 8 9 10 11
## [695,] 1 2 3 4 5 6 7 8 9 10 11
## [696,] 1 2 3 4 5 6 7 8 9 10 11
## [697,] 1 2 3 4 5 6 7 8 9 10 11
## [698,] 1 2 3 4 5 6 7 8 9 10 11
## [699,] 1 2 3 4 5 6 7 8 9 10 11
## [700,] 1 2 3 4 5 6 7 8 9 10 11
## [701,] 1 2 3 4 5 6 7 8 9 10 11
## [702,] 1 2 3 4 5 6 7 8 9 10 11
## [703,] 1 2 3 4 5 6 7 8 9 10 11
## [704,] 1 2 3 4 5 6 7 8 9 10 11
## [705,] 1 2 3 4 5 6 7 8 9 10 11
## [706,] 1 2 3 4 5 6 7 8 9 10 11
## [707,] 1 2 3 4 5 6 7 8 9 10 11
## [708,] 1 2 3 4 5 6 7 8 9 10 11
## [709,] 1 2 3 4 5 6 7 8 9 10 11
## [710,] 1 2 3 4 5 6 7 8 9 10 11
## [711,] 1 2 3 4 5 6 7 8 9 10 11
## [712,] 1 2 3 4 5 6 7 8 9 10 11
## [713,] 1 2 3 4 5 6 7 8 9 10 11
## [714,] 1 2 3 4 5 6 7 8 9 10 11
## [715,] 1 2 3 4 5 6 7 8 9 10 11
## [716,] 1 2 3 4 5 6 7 8 9 10 11
## [717,] 1 2 3 4 5 6 7 8 9 10 11
## [718,] 1 2 3 4 5 6 7 8 9 10 11
## [719,] 1 2 3 4 5 6 7 8 9 10 11
## [720,] 1 2 3 4 5 6 7 8 9 10 11
## [721,] 1 2 3 4 5 6 7 8 9 10 11
## [722,] 1 2 3 4 5 6 7 8 9 10 11
## [723,] 1 2 3 4 5 6 7 8 9 10 11
## [724,] 1 2 3 4 5 6 7 8 9 10 11
## [725,] 1 2 3 4 5 6 7 8 9 10 11
## [726,] 1 2 3 4 5 6 7 8 9 10 11
## [727,] 1 2 3 4 5 6 7 8 9 10 11
## [728,] 1 2 3 4 5 6 7 8 9 10 11
## [729,] 1 2 3 4 5 6 7 8 9 10 11
## [730,] 1 2 3 4 5 6 7 8 9 10 11
## [731,] 1 2 3 4 5 6 7 8 9 10 11
## [732,] 1 2 3 4 5 6 7 8 9 10 11
## [733,] 1 2 3 4 5 6 7 8 9 10 11
## [734,] 1 2 3 4 5 6 7 8 9 10 11
## [735,] 1 2 3 4 5 6 7 8 9 10 11
## [736,] 1 2 3 4 5 6 7 8 9 10 11
## [737,] 1 2 3 4 5 6 7 8 9 10 11
## [738,] 1 2 3 4 5 6 7 8 9 10 11
## [739,] 1 2 3 4 5 6 7 8 9 10 11
## [740,] 1 2 3 4 5 6 7 8 9 10 11
## [741,] 1 2 3 4 5 6 7 8 9 10 11
## [742,] 1 2 3 4 5 6 7 8 9 10 11
## [743,] 1 2 3 4 5 6 7 8 9 10 11
## [744,] 1 2 3 4 5 6 7 8 9 10 11
## [745,] 1 2 3 4 5 6 7 8 9 10 11
## [746,] 1 2 3 4 5 6 7 8 9 10 11
## [747,] 1 2 3 4 5 6 7 8 9 10 11
## [748,] 1 2 3 4 5 6 7 8 9 10 11
## [749,] 1 2 3 4 5 6 7 8 9 10 11
## [750,] 1 2 3 4 5 6 7 8 9 10 11
## [751,] 1 2 3 4 5 6 7 8 9 10 11
## [752,] 1 2 3 4 5 6 7 8 9 10 11
## [753,] 1 2 3 4 5 6 7 8 9 10 11
## [754,] 1 2 3 4 5 6 7 8 9 10 11
## [755,] 1 2 3 4 5 6 7 8 9 10 11
## [756,] 1 2 3 4 5 6 7 8 9 10 11
## [757,] 1 2 3 4 5 6 7 8 9 10 11
## [758,] 1 2 3 4 5 6 7 8 9 10 11
## [759,] 1 2 3 4 5 6 7 8 9 10 11
## [760,] 1 2 3 4 5 6 7 8 9 10 11
## [761,] 1 2 3 4 5 6 7 8 9 10 11
## [762,] 1 2 3 4 5 6 7 8 9 10 11
## [763,] 1 2 3 4 5 6 7 8 9 10 11
## [764,] 1 2 3 4 5 6 7 8 9 10 11
## [765,] 1 2 3 4 5 6 7 8 9 10 11
## [766,] 1 2 3 4 5 6 7 8 9 10 11
## [767,] 1 2 3 4 5 6 7 8 9 10 11
## [768,] 1 2 3 4 5 6 7 8 9 10 11
## [769,] 1 2 3 4 5 6 7 8 9 10 11
## [770,] 1 2 3 4 5 6 7 8 9 10 11
## [771,] 1 2 3 4 5 6 7 8 9 10 11
## [772,] 1 2 3 4 5 6 7 8 9 10 11
## [773,] 1 2 3 4 5 6 7 8 9 10 11
## [774,] 1 2 3 4 5 6 7 8 9 10 11
## [775,] 1 2 3 4 5 6 7 8 9 10 11
## [776,] 1 2 3 4 5 6 7 8 9 10 11
## [777,] 1 2 3 4 5 6 7 8 9 10 11
## [778,] 1 2 3 4 5 6 7 8 9 10 11
## [779,] 1 2 3 4 5 6 7 8 9 10 11
## [780,] 1 2 3 4 5 6 7 8 9 10 11
## [781,] 1 2 3 4 5 6 7 8 9 10 11
## [782,] 1 2 3 4 5 6 7 8 9 10 11
## [783,] 1 2 3 4 5 6 7 8 9 10 11
## [784,] 1 2 3 4 5 6 7 8 9 10 11
## [785,] 1 2 3 4 5 6 7 8 9 10 11
## [786,] 1 2 3 4 5 6 7 8 9 10 11
## [787,] 1 2 3 4 5 6 7 8 9 10 11
## [788,] 1 2 3 4 5 6 7 8 9 10 11
## [789,] 1 2 3 4 5 6 7 8 9 10 11
## [790,] 1 2 3 4 5 6 7 8 9 10 11
## [791,] 1 2 3 4 5 6 7 8 9 10 11
## [792,] 1 2 3 4 5 6 7 8 9 10 11
## [793,] 1 2 3 4 5 6 7 8 9 10 11
## [794,] 1 2 3 4 5 6 7 8 9 10 11
## [795,] 1 2 3 4 5 6 7 8 9 10 11
## [796,] 1 2 3 4 5 6 7 8 9 10 11
## [797,] 1 2 3 4 5 6 7 8 9 10 11
## [798,] 1 2 3 4 5 6 7 8 9 10 11
## [799,] 1 2 3 4 5 6 7 8 9 10 11
## [800,] 1 2 3 4 5 6 7 8 9 10 11
## [801,] 1 2 3 4 5 6 7 8 9 10 11
## [802,] 1 2 3 4 5 6 7 8 9 10 11
## [803,] 1 2 3 4 5 6 7 8 9 10 11
## [804,] 1 2 3 4 5 6 7 8 9 10 11
## [805,] 1 2 3 4 5 6 7 8 9 10 11
## [806,] 1 2 3 4 5 6 7 8 9 10 11
## [807,] 1 2 3 4 5 6 7 8 9 10 11
## [808,] 1 2 3 4 5 6 7 8 9 10 11
## [809,] 1 2 3 4 5 6 7 8 9 10 11
## [810,] 1 2 3 4 5 6 7 8 9 10 11
## [811,] 1 2 3 4 5 6 7 8 9 10 11
## [812,] 1 2 3 4 5 6 7 8 9 10 11
## [813,] 1 2 3 4 5 6 7 8 9 10 11
## [814,] 1 2 3 4 5 6 7 8 9 10 11
## [815,] 1 2 3 4 5 6 7 8 9 10 11
## [816,] 1 2 3 4 5 6 7 8 9 10 11
## [817,] 1 2 3 4 5 6 7 8 9 10 11
## [818,] 1 2 3 4 5 6 7 8 9 10 11
## [819,] 1 2 3 4 5 6 7 8 9 10 11
## [820,] 1 2 3 4 5 6 7 8 9 10 11
## [821,] 1 2 3 4 5 6 7 8 9 10 11
## [822,] 1 2 3 4 5 6 7 8 9 10 11
## [823,] 1 2 3 4 5 6 7 8 9 10 11
## [824,] 1 2 3 4 5 6 7 8 9 10 11
## [825,] 1 2 3 4 5 6 7 8 9 10 11
## [826,] 1 2 3 4 5 6 7 8 9 10 11
## [827,] 1 2 3 4 5 6 7 8 9 10 11
## [828,] 1 2 3 4 5 6 7 8 9 10 11
## [829,] 1 2 3 4 5 6 7 8 9 10 11
## [830,] 1 2 3 4 5 6 7 8 9 10 11
## [831,] 1 2 3 4 5 6 7 8 9 10 11
## [832,] 1 2 3 4 5 6 7 8 9 10 11
## [833,] 1 2 3 4 5 6 7 8 9 10 11
## [834,] 1 2 3 4 5 6 7 8 9 10 11
## [835,] 1 2 3 4 5 6 7 8 9 10 11
## [836,] 1 2 3 4 5 6 7 8 9 10 11
## [837,] 1 2 3 4 5 6 7 8 9 10 11
## [838,] 1 2 3 4 5 6 7 8 9 10 11
## [839,] 1 2 3 4 5 6 7 8 9 10 11
## [840,] 1 2 3 4 5 6 7 8 9 10 11
## [841,] 1 2 3 4 5 6 7 8 9 10 11
## [842,] 1 2 3 4 5 6 7 8 9 10 11
## [843,] 1 2 3 4 5 6 7 8 9 10 11
## [844,] 1 2 3 4 5 6 7 8 9 10 11
## [845,] 1 2 3 4 5 6 7 8 9 10 11
## [846,] 1 2 3 4 5 6 7 8 9 10 11
## [847,] 1 2 3 4 5 6 7 8 9 10 11
## [848,] 1 2 3 4 5 6 7 8 9 10 11
## [849,] 1 2 3 4 5 6 7 8 9 10 11
## [850,] 1 2 3 4 5 6 7 8 9 10 11
## [851,] 1 2 3 4 5 6 7 8 9 10 11
## [852,] 1 2 3 4 5 6 7 8 9 10 11
## [853,] 1 2 3 4 5 6 7 8 9 10 11
## [854,] 1 2 3 4 5 6 7 8 9 10 11
## [855,] 1 2 3 4 5 6 7 8 9 10 11
## [856,] 1 2 3 4 5 6 7 8 9 10 11
## [857,] 1 2 3 4 5 6 7 8 9 10 11
## [858,] 1 2 3 4 5 6 7 8 9 10 11
## [859,] 1 2 3 4 5 6 7 8 9 10 11
## [860,] 1 2 3 4 5 6 7 8 9 10 11
## [861,] 1 2 3 4 5 6 7 8 9 10 11
## [862,] 1 2 3 4 5 6 7 8 9 10 11
## [863,] 1 2 3 4 5 6 7 8 9 10 11
## [864,] 1 2 3 4 5 6 7 8 9 10 11
## [865,] 1 2 3 4 5 6 7 8 9 10 11
## [866,] 1 2 3 4 5 6 7 8 9 10 11
## [867,] 1 2 3 4 5 6 7 8 9 10 11
## [868,] 1 2 3 4 5 6 7 8 9 10 11
## [869,] 1 2 3 4 5 6 7 8 9 10 11
## [870,] 1 2 3 4 5 6 7 8 9 10 11
## [871,] 1 2 3 4 5 6 7 8 9 10 11
## [872,] 1 2 3 4 5 6 7 8 9 10 11
## [873,] 1 2 3 4 5 6 7 8 9 10 11
## [874,] 1 2 3 4 5 6 7 8 9 10 11
## [875,] 1 2 3 4 5 6 7 8 9 10 11
## [876,] 1 2 3 4 5 6 7 8 9 10 11
## [877,] 1 2 3 4 5 6 7 8 9 10 11
## [878,] 1 2 3 4 5 6 7 8 9 10 11
## [879,] 1 2 3 4 5 6 7 8 9 10 11
## [880,] 1 2 3 4 5 6 7 8 9 10 11
## [881,] 1 2 3 4 5 6 7 8 9 10 11
## [882,] 1 2 3 4 5 6 7 8 9 10 11
## [883,] 1 2 3 4 5 6 7 8 9 10 11
## [884,] 1 2 3 4 5 6 7 8 9 10 11
## [885,] 1 2 3 4 5 6 7 8 9 10 11
## [886,] 1 2 3 4 5 6 7 8 9 10 11
## [887,] 1 2 3 4 5 6 7 8 9 10 11
## [888,] 1 2 3 4 5 6 7 8 9 10 11
## [889,] 1 2 3 4 5 6 7 8 9 10 11
## [890,] 1 2 3 4 5 6 7 8 9 10 11
## [891,] 1 2 3 4 5 6 7 8 9 10 11
## [892,] 1 2 3 4 5 6 7 8 9 10 11
## [893,] 1 2 3 4 5 6 7 8 9 10 11
## [894,] 1 2 3 4 5 6 7 8 9 10 11
## [895,] 1 2 3 4 5 6 7 8 9 10 11
## [896,] 1 2 3 4 5 6 7 8 9 10 11
## [897,] 1 2 3 4 5 6 7 8 9 10 11
## [898,] 1 2 3 4 5 6 7 8 9 10 11
## [899,] 1 2 3 4 5 6 7 8 9 10 11
## [900,] 1 2 3 4 5 6 7 8 9 10 11
## [901,] 1 2 3 4 5 6 7 8 9 10 11
## [902,] 1 2 3 4 5 6 7 8 9 10 11
## [903,] 1 2 3 4 5 6 7 8 9 10 11
## [904,] 1 2 3 4 5 6 7 8 9 10 11
## [905,] 1 2 3 4 5 6 7 8 9 10 11
## [906,] 1 2 3 4 5 6 7 8 9 10 11
## [907,] 1 2 3 4 5 6 7 8 9 10 11
## [908,] 1 2 3 4 5 6 7 8 9 10 11
## [909,] 1 2 3 4 5 6 7 8 9 10 11
## [910,] 1 2 3 4 5 6 7 8 9 10 11
## [911,] 1 2 3 4 5 6 7 8 9 10 11
## [912,] 1 2 3 4 5 6 7 8 9 10 11
## [913,] 1 2 3 4 5 6 7 8 9 10 11
## [914,] 1 2 3 4 5 6 7 8 9 10 11
## [915,] 1 2 3 4 5 6 7 8 9 10 11
## [916,] 1 2 3 4 5 6 7 8 9 10 11
## [917,] 1 2 3 4 5 6 7 8 9 10 11
## [918,] 1 2 3 4 5 6 7 8 9 10 11
## [919,] 1 2 3 4 5 6 7 8 9 10 11
## [920,] 1 2 3 4 5 6 7 8 9 10 11
## [921,] 1 2 3 4 5 6 7 8 9 10 11
## [922,] 1 2 3 4 5 6 7 8 9 10 11
## [923,] 1 2 3 4 5 6 7 8 9 10 11
## [924,] 1 2 3 4 5 6 7 8 9 10 11
## [925,] 1 2 3 4 5 6 7 8 9 10 11
## [926,] 1 2 3 4 5 6 7 8 9 10 11
## [927,] 1 2 3 4 5 6 7 8 9 10 11
## [928,] 1 2 3 4 5 6 7 8 9 10 11
## [929,] 1 2 3 4 5 6 7 8 9 10 11
## [930,] 1 2 3 4 5 6 7 8 9 10 11
## [931,] 1 2 3 4 5 6 7 8 9 10 11
## [932,] 1 2 3 4 5 6 7 8 9 10 11
## [933,] 1 2 3 4 5 6 7 8 9 10 11
## [934,] 1 2 3 4 5 6 7 8 9 10 11
## [935,] 1 2 3 4 5 6 7 8 9 10 11
## [936,] 1 2 3 4 5 6 7 8 9 10 11
## [937,] 1 2 3 4 5 6 7 8 9 10 11
## [938,] 1 2 3 4 5 6 7 8 9 10 11
## [939,] 1 2 3 4 5 6 7 8 9 10 11
## [940,] 1 2 3 4 5 6 7 8 9 10 11
## [941,] 1 2 3 4 5 6 7 8 9 10 11
## [942,] 1 2 3 4 5 6 7 8 9 10 11
## [943,] 1 2 3 4 5 6 7 8 9 10 11
## [944,] 1 2 3 4 5 6 7 8 9 10 11
## [945,] 1 2 3 4 5 6 7 8 9 10 11
## [946,] 1 2 3 4 5 6 7 8 9 10 11
## [947,] 1 2 3 4 5 6 7 8 9 10 11
## [948,] 1 2 3 4 5 6 7 8 9 10 11
## [949,] 1 2 3 4 5 6 7 8 9 10 11
## [950,] 1 2 3 4 5 6 7 8 9 10 11
## [951,] 1 2 3 4 5 6 7 8 9 10 11
## [952,] 1 2 3 4 5 6 7 8 9 10 11
## [953,] 1 2 3 4 5 6 7 8 9 10 11
## [954,] 1 2 3 4 5 6 7 8 9 10 11
## [955,] 1 2 3 4 5 6 7 8 9 10 11
## [956,] 1 2 3 4 5 6 7 8 9 10 11
## [957,] 1 2 3 4 5 6 7 8 9 10 11
## [958,] 1 2 3 4 5 6 7 8 9 10 11
## [959,] 1 2 3 4 5 6 7 8 9 10 11
## [960,] 1 2 3 4 5 6 7 8 9 10 11
## [961,] 1 2 3 4 5 6 7 8 9 10 11
## [962,] 1 2 3 4 5 6 7 8 9 10 11
## [963,] 1 2 3 4 5 6 7 8 9 10 11
## [964,] 1 2 3 4 5 6 7 8 9 10 11
## [965,] 1 2 3 4 5 6 7 8 9 10 11
## [966,] 1 2 3 4 5 6 7 8 9 10 11
## [967,] 1 2 3 4 5 6 7 8 9 10 11
## [968,] 1 2 3 4 5 6 7 8 9 10 11
## [969,] 1 2 3 4 5 6 7 8 9 10 11
## [970,] 1 2 3 4 5 6 7 8 9 10 11
## [971,] 1 2 3 4 5 6 7 8 9 10 11
## [972,] 1 2 3 4 5 6 7 8 9 10 11
## [973,] 1 2 3 4 5 6 7 8 9 10 11
## [974,] 1 2 3 4 5 6 7 8 9 10 11
## [975,] 1 2 3 4 5 6 7 8 9 10 11
## [976,] 1 2 3 4 5 6 7 8 9 10 11
## [977,] 1 2 3 4 5 6 7 8 9 10 11
## [978,] 1 2 3 4 5 6 7 8 9 10 11
## [979,] 1 2 3 4 5 6 7 8 9 10 11
## [980,] 1 2 3 4 5 6 7 8 9 10 11
## [981,] 1 2 3 4 5 6 7 8 9 10 11
## [982,] 1 2 3 4 5 6 7 8 9 10 11
## [983,] 1 2 3 4 5 6 7 8 9 10 11
## [984,] 1 2 3 4 5 6 7 8 9 10 11
## [985,] 1 2 3 4 5 6 7 8 9 10 11
## [986,] 1 2 3 4 5 6 7 8 9 10 11
## [987,] 1 2 3 4 5 6 7 8 9 10 11
## [988,] 1 2 3 4 5 6 7 8 9 10 11
## [989,] 1 2 3 4 5 6 7 8 9 10 11
## [990,] 1 2 3 4 5 6 7 8 9 10 11
## [991,] 1 2 3 4 5 6 7 8 9 10 11
## [992,] 1 2 3 4 5 6 7 8 9 10 11
## [993,] 1 2 3 4 5 6 7 8 9 10 11
## [994,] 1 2 3 4 5 6 7 8 9 10 11
## [995,] 1 2 3 4 5 6 7 8 9 10 11
## [996,] 1 2 3 4 5 6 7 8 9 10 11
## [997,] 1 2 3 4 5 6 7 8 9 10 11
## [998,] 1 2 3 4 5 6 7 8 9 10 11
## [999,] 1 2 3 4 5 6 7 8 9 10 11
## [1000,] 1 2 3 4 5 6 7 8 9 10 11
## [1001,] 1 2 3 4 5 6 7 8 9 10 11
## [1002,] 1 2 3 4 5 6 7 8 9 10 11
## [1003,] 1 2 3 4 5 6 7 8 9 10 11
## [1004,] 1 2 3 4 5 6 7 8 9 10 11
## [1005,] 1 2 3 4 5 6 7 8 9 10 11
## [1006,] 1 2 3 4 5 6 7 8 9 10 11
## [1007,] 1 2 3 4 5 6 7 8 9 10 11
## [1008,] 1 2 3 4 5 6 7 8 9 10 11
## [1009,] 1 2 3 4 5 6 7 8 9 10 11
## [1010,] 1 2 3 4 5 6 7 8 9 10 11
## [1011,] 1 2 3 4 5 6 7 8 9 10 11
## [1012,] 1 2 3 4 5 6 7 8 9 10 11
## [1013,] 1 2 3 4 5 6 7 8 9 10 11
## [1014,] 1 2 3 4 5 6 7 8 9 10 11
## [1015,] 1 2 3 4 5 6 7 8 9 10 11
## [1016,] 1 2 3 4 5 6 7 8 9 10 11
## [1017,] 1 2 3 4 5 6 7 8 9 10 11
## [1018,] 1 2 3 4 5 6 7 8 9 10 11
## [1019,] 1 2 3 4 5 6 7 8 9 10 11
## [1020,] 1 2 3 4 5 6 7 8 9 10 11
## [1021,] 1 2 3 4 5 6 7 8 9 10 11
## [1022,] 1 2 3 4 5 6 7 8 9 10 11
## [1023,] 1 2 3 4 5 6 7 8 9 10 11
## [1024,] 1 2 3 4 5 6 7 8 9 10 11
## [1025,] 1 2 3 4 5 6 7 8 9 10 11
## [1026,] 1 2 3 4 5 6 7 8 9 10 11
## [1027,] 1 2 3 4 5 6 7 8 9 10 11
## [1028,] 1 2 3 4 5 6 7 8 9 10 11
## [1029,] 1 2 3 4 5 6 7 8 9 10 11
## [1030,] 1 2 3 4 5 6 7 8 9 10 11
## [1031,] 1 2 3 4 5 6 7 8 9 10 11
## [1032,] 1 2 3 4 5 6 7 8 9 10 11
## [1033,] 1 2 3 4 5 6 7 8 9 10 11
## [1034,] 1 2 3 4 5 6 7 8 9 10 11
## [1035,] 1 2 3 4 5 6 7 8 9 10 11
## [1036,] 1 2 3 4 5 6 7 8 9 10 11
## [1037,] 1 2 3 4 5 6 7 8 9 10 11
## [1038,] 1 2 3 4 5 6 7 8 9 10 11
## [1039,] 1 2 3 4 5 6 7 8 9 10 11
## [1040,] 1 2 3 4 5 6 7 8 9 10 11
## [1041,] 1 2 3 4 5 6 7 8 9 10 11
## [1042,] 1 2 3 4 5 6 7 8 9 10 11
## [1043,] 1 2 3 4 5 6 7 8 9 10 11
## [1044,] 1 2 3 4 5 6 7 8 9 10 11
## [1045,] 1 2 3 4 5 6 7 8 9 10 11
## [1046,] 1 2 3 4 5 6 7 8 9 10 11
## [1047,] 1 2 3 4 5 6 7 8 9 10 11
## [1048,] 1 2 3 4 5 6 7 8 9 10 11
## [1049,] 1 2 3 4 5 6 7 8 9 10 11
## [1050,] 1 2 3 4 5 6 7 8 9 10 11
## [1051,] 1 2 3 4 5 6 7 8 9 10 11
## [1052,] 1 2 3 4 5 6 7 8 9 10 11
## [1053,] 1 2 3 4 5 6 7 8 9 10 11
## [1054,] 1 2 3 4 5 6 7 8 9 10 11
## [1055,] 1 2 3 4 5 6 7 8 9 10 11
## [1056,] 1 2 3 4 5 6 7 8 9 10 11
## [1057,] 1 2 3 4 5 6 7 8 9 10 11
## [1058,] 1 2 3 4 5 6 7 8 9 10 11
## [1059,] 1 2 3 4 5 6 7 8 9 10 11
## [1060,] 1 2 3 4 5 6 7 8 9 10 11
## [1061,] 1 2 3 4 5 6 7 8 9 10 11
## [1062,] 1 2 3 4 5 6 7 8 9 10 11
## [1063,] 1 2 3 4 5 6 7 8 9 10 11
## [1064,] 1 2 3 4 5 6 7 8 9 10 11
## [1065,] 1 2 3 4 5 6 7 8 9 10 11
## [1066,] 1 2 3 4 5 6 7 8 9 10 11
## [1067,] 1 2 3 4 5 6 7 8 9 10 11
## [1068,] 1 2 3 4 5 6 7 8 9 10 11
## [1069,] 1 2 3 4 5 6 7 8 9 10 11
## [1070,] 1 2 3 4 5 6 7 8 9 10 11
## [1071,] 1 2 3 4 5 6 7 8 9 10 11
## [1072,] 1 2 3 4 5 6 7 8 9 10 11
## [1073,] 1 2 3 4 5 6 7 8 9 10 11
## [1074,] 1 2 3 4 5 6 7 8 9 10 11
## [1075,] 1 2 3 4 5 6 7 8 9 10 11
## [1076,] 1 2 3 4 5 6 7 8 9 10 11
## [1077,] 1 2 3 4 5 6 7 8 9 10 11
## [1078,] 1 2 3 4 5 6 7 8 9 10 11
## [1079,] 1 2 3 4 5 6 7 8 9 10 11
## [1080,] 1 2 3 4 5 6 7 8 9 10 11
## [1081,] 1 2 3 4 5 6 7 8 9 10 11
## [1082,] 1 2 3 4 5 6 7 8 9 10 11
## [1083,] 1 2 3 4 5 6 7 8 9 10 11
## [1084,] 1 2 3 4 5 6 7 8 9 10 11
## [1085,] 1 2 3 4 5 6 7 8 9 10 11
## [1086,] 1 2 3 4 5 6 7 8 9 10 11
## [1087,] 1 2 3 4 5 6 7 8 9 10 11
## [1088,] 1 2 3 4 5 6 7 8 9 10 11
## [1089,] 1 2 3 4 5 6 7 8 9 10 11
## [1090,] 1 2 3 4 5 6 7 8 9 10 11
## [1091,] 1 2 3 4 5 6 7 8 9 10 11
## [1092,] 1 2 3 4 5 6 7 8 9 10 11
## [1093,] 1 2 3 4 5 6 7 8 9 10 11
## [1094,] 1 2 3 4 5 6 7 8 9 10 11
## [1095,] 1 2 3 4 5 6 7 8 9 10 11
## [1096,] 1 2 3 4 5 6 7 8 9 10 11
## [1097,] 1 2 3 4 5 6 7 8 9 10 11
## [1098,] 1 2 3 4 5 6 7 8 9 10 11
## [1099,] 1 2 3 4 5 6 7 8 9 10 11
## [1100,] 1 2 3 4 5 6 7 8 9 10 11
## [1101,] 1 2 3 4 5 6 7 8 9 10 11
## [1102,] 1 2 3 4 5 6 7 8 9 10 11
## [1103,] 1 2 3 4 5 6 7 8 9 10 11
## [1104,] 1 2 3 4 5 6 7 8 9 10 11
## [1105,] 1 2 3 4 5 6 7 8 9 10 11
## [1106,] 1 2 3 4 5 6 7 8 9 10 11
## [1107,] 1 2 3 4 5 6 7 8 9 10 11
## [1108,] 1 2 3 4 5 6 7 8 9 10 11
## [1109,] 1 2 3 4 5 6 7 8 9 10 11
## [1110,] 1 2 3 4 5 6 7 8 9 10 11
## [1111,] 1 2 3 4 5 6 7 8 9 10 11
## [1112,] 1 2 3 4 5 6 7 8 9 10 11
## [1113,] 1 2 3 4 5 6 7 8 9 10 11
## [1114,] 1 2 3 4 5 6 7 8 9 10 11
## [1115,] 1 2 3 4 5 6 7 8 9 10 11
## [1116,] 1 2 3 4 5 6 7 8 9 10 11
## [1117,] 1 2 3 4 5 6 7 8 9 10 11
## [1118,] 1 2 3 4 5 6 7 8 9 10 11
## [1119,] 1 2 3 4 5 6 7 8 9 10 11
## [1120,] 1 2 3 4 5 6 7 8 9 10 11
## [1121,] 1 2 3 4 5 6 7 8 9 10 11
## [1122,] 1 2 3 4 5 6 7 8 9 10 11
## [1123,] 1 2 3 4 5 6 7 8 9 10 11
## [1124,] 1 2 3 4 5 6 7 8 9 10 11
## [1125,] 1 2 3 4 5 6 7 8 9 10 11
## [1126,] 1 2 3 4 5 6 7 8 9 10 11
## [1127,] 1 2 3 4 5 6 7 8 9 10 11
## [1128,] 1 2 3 4 5 6 7 8 9 10 11
## [1129,] 1 2 3 4 5 6 7 8 9 10 11
## [1130,] 1 2 3 4 5 6 7 8 9 10 11
## [1131,] 1 2 3 4 5 6 7 8 9 10 11
## [1132,] 1 2 3 4 5 6 7 8 9 10 11
## [1133,] 1 2 3 4 5 6 7 8 9 10 11
## [1134,] 1 2 3 4 5 6 7 8 9 10 11
## [1135,] 1 2 3 4 5 6 7 8 9 10 11
## [1136,] 1 2 3 4 5 6 7 8 9 10 11
## [1137,] 1 2 3 4 5 6 7 8 9 10 11
## [1138,] 1 2 3 4 5 6 7 8 9 10 11
## [1139,] 1 2 3 4 5 6 7 8 9 10 11
## [1140,] 1 2 3 4 5 6 7 8 9 10 11
## [1141,] 1 2 3 4 5 6 7 8 9 10 11
## [1142,] 1 2 3 4 5 6 7 8 9 10 11
## [1143,] 1 2 3 4 5 6 7 8 9 10 11
## [1144,] 1 2 3 4 5 6 7 8 9 10 11
## [1145,] 1 2 3 4 5 6 7 8 9 10 11
## [1146,] 1 2 3 4 5 6 7 8 9 10 11
## [1147,] 1 2 3 4 5 6 7 8 9 10 11
## [1148,] 1 2 3 4 5 6 7 8 9 10 11
## [1149,] 1 2 3 4 5 6 7 8 9 10 11
## [1150,] 1 2 3 4 5 6 7 8 9 10 11
## [1151,] 1 2 3 4 5 6 7 8 9 10 11
## [1152,] 1 2 3 4 5 6 7 8 9 10 11
## [1153,] 1 2 3 4 5 6 7 8 9 10 11
## [1154,] 1 2 3 4 5 6 7 8 9 10 11
## [1155,] 1 2 3 4 5 6 7 8 9 10 11
## [1156,] 1 2 3 4 5 6 7 8 9 10 11
## [1157,] 1 2 3 4 5 6 7 8 9 10 11
## [1158,] 1 2 3 4 5 6 7 8 9 10 11
## [1159,] 1 2 3 4 5 6 7 8 9 10 11
## [1160,] 1 2 3 4 5 6 7 8 9 10 11
## [1161,] 1 2 3 4 5 6 7 8 9 10 11
## [1162,] 1 2 3 4 5 6 7 8 9 10 11
## [1163,] 1 2 3 4 5 6 7 8 9 10 11
## [1164,] 1 2 3 4 5 6 7 8 9 10 11
## [1165,] 1 2 3 4 5 6 7 8 9 10 11
## [1166,] 1 2 3 4 5 6 7 8 9 10 11
## [1167,] 1 2 3 4 5 6 7 8 9 10 11
## [1168,] 1 2 3 4 5 6 7 8 9 10 11
## [1169,] 1 2 3 4 5 6 7 8 9 10 11
## [1170,] 1 2 3 4 5 6 7 8 9 10 11
## [1171,] 1 2 3 4 5 6 7 8 9 10 11
## [1172,] 1 2 3 4 5 6 7 8 9 10 11
## [1173,] 1 2 3 4 5 6 7 8 9 10 11
## [1174,] 1 2 3 4 5 6 7 8 9 10 11
## [1175,] 1 2 3 4 5 6 7 8 9 10 11
## [1176,] 1 2 3 4 5 6 7 8 9 10 11
## [1177,] 1 2 3 4 5 6 7 8 9 10 11
## [1178,] 1 2 3 4 5 6 7 8 9 10 11
## [1179,] 1 2 3 4 5 6 7 8 9 10 11
## [1180,] 1 2 3 4 5 6 7 8 9 10 11
## [1181,] 1 2 3 4 5 6 7 8 9 10 11
## [1182,] 1 2 3 4 5 6 7 8 9 10 11
## [1183,] 1 2 3 4 5 6 7 8 9 10 11
## [1184,] 1 2 3 4 5 6 7 8 9 10 11
## [1185,] 1 2 3 4 5 6 7 8 9 10 11
## [1186,] 1 2 3 4 5 6 7 8 9 10 11
## [1187,] 1 2 3 4 5 6 7 8 9 10 11
## [1188,] 1 2 3 4 5 6 7 8 9 10 11
## [1189,] 1 2 3 4 5 6 7 8 9 10 11
## [1190,] 1 2 3 4 5 6 7 8 9 10 11
## [1191,] 1 2 3 4 5 6 7 8 9 10 11
## [1192,] 1 2 3 4 5 6 7 8 9 10 11
## [1193,] 1 2 3 4 5 6 7 8 9 10 11
## [1194,] 1 2 3 4 5 6 7 8 9 10 11
## [1195,] 1 2 3 4 5 6 7 8 9 10 11
## [1196,] 1 2 3 4 5 6 7 8 9 10 11
## [1197,] 1 2 3 4 5 6 7 8 9 10 11
## [1198,] 1 2 3 4 5 6 7 8 9 10 11
## [1199,] 1 2 3 4 5 6 7 8 9 10 11
## [1200,] 1 2 3 4 5 6 7 8 9 10 11
## [1201,] 1 2 3 4 5 6 7 8 9 10 11
## [1202,] 1 2 3 4 5 6 7 8 9 10 11
## [1203,] 1 2 3 4 5 6 7 8 9 10 11
## [1204,] 1 2 3 4 5 6 7 8 9 10 11
## [1205,] 1 2 3 4 5 6 7 8 9 10 11
## [1206,] 1 2 3 4 5 6 7 8 9 10 11
## [1207,] 1 2 3 4 5 6 7 8 9 10 11
## [1208,] 1 2 3 4 5 6 7 8 9 10 11
## [1209,] 1 2 3 4 5 6 7 8 9 10 11
## [1210,] 1 2 3 4 5 6 7 8 9 10 11
## [1211,] 1 2 3 4 5 6 7 8 9 10 11
## [1212,] 1 2 3 4 5 6 7 8 9 10 11
## [1213,] 1 2 3 4 5 6 7 8 9 10 11
## [1214,] 1 2 3 4 5 6 7 8 9 10 11
## [1215,] 1 2 3 4 5 6 7 8 9 10 11
## [1216,] 1 2 3 4 5 6 7 8 9 10 11
## [1217,] 1 2 3 4 5 6 7 8 9 10 11
## [1218,] 1 2 3 4 5 6 7 8 9 10 11
## [1219,] 1 2 3 4 5 6 7 8 9 10 11
## [1220,] 1 2 3 4 5 6 7 8 9 10 11
## [1221,] 1 2 3 4 5 6 7 8 9 10 11
## [1222,] 1 2 3 4 5 6 7 8 9 10 11
## [1223,] 1 2 3 4 5 6 7 8 9 10 11
## [1224,] 1 2 3 4 5 6 7 8 9 10 11
## [1225,] 1 2 3 4 5 6 7 8 9 10 11
## [1226,] 1 2 3 4 5 6 7 8 9 10 11
## [1227,] 1 2 3 4 5 6 7 8 9 10 11
## [1228,] 1 2 3 4 5 6 7 8 9 10 11
## [1229,] 1 2 3 4 5 6 7 8 9 10 11
## [1230,] 1 2 3 4 5 6 7 8 9 10 11
## [1231,] 1 2 3 4 5 6 7 8 9 10 11
## [1232,] 1 2 3 4 5 6 7 8 9 10 11
## [1233,] 1 2 3 4 5 6 7 8 9 10 11
## [1234,] 1 2 3 4 5 6 7 8 9 10 11
## [1235,] 1 2 3 4 5 6 7 8 9 10 11
## [1236,] 1 2 3 4 5 6 7 8 9 10 11
## [1237,] 1 2 3 4 5 6 7 8 9 10 11
## [1238,] 1 2 3 4 5 6 7 8 9 10 11
## [1239,] 1 2 3 4 5 6 7 8 9 10 11
## [1240,] 1 2 3 4 5 6 7 8 9 10 11
## [1241,] 1 2 3 4 5 6 7 8 9 10 11
## [1242,] 1 2 3 4 5 6 7 8 9 10 11
## [1243,] 1 2 3 4 5 6 7 8 9 10 11
## [1244,] 1 2 3 4 5 6 7 8 9 10 11
## [1245,] 1 2 3 4 5 6 7 8 9 10 11
## [1246,] 1 2 3 4 5 6 7 8 9 10 11
## [1247,] 1 2 3 4 5 6 7 8 9 10 11
## [1248,] 1 2 3 4 5 6 7 8 9 10 11
## [1249,] 1 2 3 4 5 6 7 8 9 10 11
## [1250,] 1 2 3 4 5 6 7 8 9 10 11
## [1251,] 1 2 3 4 5 6 7 8 9 10 11
## [1252,] 1 2 3 4 5 6 7 8 9 10 11
## [1253,] 1 2 3 4 5 6 7 8 9 10 11
## [1254,] 1 2 3 4 5 6 7 8 9 10 11
## [1255,] 1 2 3 4 5 6 7 8 9 10 11
## [1256,] 1 2 3 4 5 6 7 8 9 10 11
## [1257,] 1 2 3 4 5 6 7 8 9 10 11
## [1258,] 1 2 3 4 5 6 7 8 9 10 11
## [1259,] 1 2 3 4 5 6 7 8 9 10 11
## [1260,] 1 2 3 4 5 6 7 8 9 10 11
## [1261,] 1 2 3 4 5 6 7 8 9 10 11
## [1262,] 1 2 3 4 5 6 7 8 9 10 11
## [1263,] 1 2 3 4 5 6 7 8 9 10 11
## [1264,] 1 2 3 4 5 6 7 8 9 10 11
## [1265,] 1 2 3 4 5 6 7 8 9 10 11
## [1266,] 1 2 3 4 5 6 7 8 9 10 11
## [1267,] 1 2 3 4 5 6 7 8 9 10 11
## [1268,] 1 2 3 4 5 6 7 8 9 10 11
## [1269,] 1 2 3 4 5 6 7 8 9 10 11
## [1270,] 1 2 3 4 5 6 7 8 9 10 11
## [1271,] 1 2 3 4 5 6 7 8 9 10 11
## [1272,] 1 2 3 4 5 6 7 8 9 10 11
## [1273,] 1 2 3 4 5 6 7 8 9 10 11
## [1274,] 1 2 3 4 5 6 7 8 9 10 11
## [1275,] 1 2 3 4 5 6 7 8 9 10 11
## [1276,] 1 2 3 4 5 6 7 8 9 10 11
## [1277,] 1 2 3 4 5 6 7 8 9 10 11
## [1278,] 1 2 3 4 5 6 7 8 9 10 11
## [1279,] 1 2 3 4 5 6 7 8 9 10 11
## [1280,] 1 2 3 4 5 6 7 8 9 10 11
## [1281,] 1 2 3 4 5 6 7 8 9 10 11
## [1282,] 1 2 3 4 5 6 7 8 9 10 11
## [1283,] 1 2 3 4 5 6 7 8 9 10 11
## [1284,] 1 2 3 4 5 6 7 8 9 10 11
## [1285,] 1 2 3 4 5 6 7 8 9 10 11
## [1286,] 1 2 3 4 5 6 7 8 9 10 11
## [1287,] 1 2 3 4 5 6 7 8 9 10 11
## [1288,] 1 2 3 4 5 6 7 8 9 10 11
## [1289,] 1 2 3 4 5 6 7 8 9 10 11
## [1290,] 1 2 3 4 5 6 7 8 9 10 11
## [1291,] 1 2 3 4 5 6 7 8 9 10 11
## [1292,] 1 2 3 4 5 6 7 8 9 10 11
## [1293,] 1 2 3 4 5 6 7 8 9 10 11
## [1294,] 1 2 3 4 5 6 7 8 9 10 11
## [1295,] 1 2 3 4 5 6 7 8 9 10 11
## [1296,] 1 2 3 4 5 6 7 8 9 10 11
## [1297,] 1 2 3 4 5 6 7 8 9 10 11
## [1298,] 1 2 3 4 5 6 7 8 9 10 11
## [1299,] 1 2 3 4 5 6 7 8 9 10 11
## [1300,] 1 2 3 4 5 6 7 8 9 10 11
## [1301,] 1 2 3 4 5 6 7 8 9 10 11
## [1302,] 1 2 3 4 5 6 7 8 9 10 11
## [1303,] 1 2 3 4 5 6 7 8 9 10 11
## [1304,] 1 2 3 4 5 6 7 8 9 10 11
## [1305,] 1 2 3 4 5 6 7 8 9 10 11
## [1306,] 1 2 3 4 5 6 7 8 9 10 11
## [1307,] 1 2 3 4 5 6 7 8 9 10 11
## [1308,] 1 2 3 4 5 6 7 8 9 10 11
## [1309,] 1 2 3 4 5 6 7 8 9 10 11
## [1310,] 1 2 3 4 5 6 7 8 9 10 11
## [1311,] 1 2 3 4 5 6 7 8 9 10 11
## [1312,] 1 2 3 4 5 6 7 8 9 10 11
## [1313,] 1 2 3 4 5 6 7 8 9 10 11
## [1314,] 1 2 3 4 5 6 7 8 9 10 11
## [1315,] 1 2 3 4 5 6 7 8 9 10 11
## [1316,] 1 2 3 4 5 6 7 8 9 10 11
## [1317,] 1 2 3 4 5 6 7 8 9 10 11
## [1318,] 1 2 3 4 5 6 7 8 9 10 11
## [1319,] 1 2 3 4 5 6 7 8 9 10 11
## [1320,] 1 2 3 4 5 6 7 8 9 10 11
## [1321,] 1 2 3 4 5 6 7 8 9 10 11
## [1322,] 1 2 3 4 5 6 7 8 9 10 11
## [1323,] 1 2 3 4 5 6 7 8 9 10 11
## [1324,] 1 2 3 4 5 6 7 8 9 10 11
## [1325,] 1 2 3 4 5 6 7 8 9 10 11
## [1326,] 1 2 3 4 5 6 7 8 9 10 11
## [1327,] 1 2 3 4 5 6 7 8 9 10 11
## [1328,] 1 2 3 4 5 6 7 8 9 10 11
## [1329,] 1 2 3 4 5 6 7 8 9 10 11
## [1330,] 1 2 3 4 5 6 7 8 9 10 11
## [1331,] 1 2 3 4 5 6 7 8 9 10 11
## [1332,] 1 2 3 4 5 6 7 8 9 10 11
## [1333,] 1 2 3 4 5 6 7 8 9 10 11
## [1334,] 1 2 3 4 5 6 7 8 9 10 11
## [1335,] 1 2 3 4 5 6 7 8 9 10 11
## [1336,] 1 2 3 4 5 6 7 8 9 10 11
## [1337,] 1 2 3 4 5 6 7 8 9 10 11
## [1338,] 1 2 3 4 5 6 7 8 9 10 11
## [1339,] 1 2 3 4 5 6 7 8 9 10 11
## [1340,] 1 2 3 4 5 6 7 8 9 10 11
## [1341,] 1 2 3 4 5 6 7 8 9 10 11
## [1342,] 1 2 3 4 5 6 7 8 9 10 11
## [1343,] 1 2 3 4 5 6 7 8 9 10 11
## [1344,] 1 2 3 4 5 6 7 8 9 10 11
## [1345,] 1 2 3 4 5 6 7 8 9 10 11
## [1346,] 1 2 3 4 5 6 7 8 9 10 11
## [1347,] 1 2 3 4 5 6 7 8 9 10 11
## [1348,] 1 2 3 4 5 6 7 8 9 10 11
## [1349,] 1 2 3 4 5 6 7 8 9 10 11
## [1350,] 1 2 3 4 5 6 7 8 9 10 11
## [1351,] 1 2 3 4 5 6 7 8 9 10 11
## [1352,] 1 2 3 4 5 6 7 8 9 10 11
## [1353,] 1 2 3 4 5 6 7 8 9 10 11
## [1354,] 1 2 3 4 5 6 7 8 9 10 11
## [1355,] 1 2 3 4 5 6 7 8 9 10 11
## [1356,] 1 2 3 4 5 6 7 8 9 10 11
## [1357,] 1 2 3 4 5 6 7 8 9 10 11
## [1358,] 1 2 3 4 5 6 7 8 9 10 11
## [1359,] 1 2 3 4 5 6 7 8 9 10 11
## [1360,] 1 2 3 4 5 6 7 8 9 10 11
## [1361,] 1 2 3 4 5 6 7 8 9 10 11
## [1362,] 1 2 3 4 5 6 7 8 9 10 11
## [1363,] 1 2 3 4 5 6 7 8 9 10 11
## [1364,] 1 2 3 4 5 6 7 8 9 10 11
## [1365,] 1 2 3 4 5 6 7 8 9 10 11
## [1366,] 1 2 3 4 5 6 7 8 9 10 11
## [1367,] 1 2 3 4 5 6 7 8 9 10 11
## [1368,] 1 2 3 4 5 6 7 8 9 10 11
## [1369,] 1 2 3 4 5 6 7 8 9 10 11
## [1370,] 1 2 3 4 5 6 7 8 9 10 11
## [1371,] 1 2 3 4 5 6 7 8 9 10 11
## [1372,] 1 2 3 4 5 6 7 8 9 10 11
## [1373,] 1 2 3 4 5 6 7 8 9 10 11
## [1374,] 1 2 3 4 5 6 7 8 9 10 11
## [1375,] 1 2 3 4 5 6 7 8 9 10 11
## [1376,] 1 2 3 4 5 6 7 8 9 10 11
## [1377,] 1 2 3 4 5 6 7 8 9 10 11
## [1378,] 1 2 3 4 5 6 7 8 9 10 11
## [1379,] 1 2 3 4 5 6 7 8 9 10 11
## [1380,] 1 2 3 4 5 6 7 8 9 10 11
## [1381,] 1 2 3 4 5 6 7 8 9 10 11
## [1382,] 1 2 3 4 5 6 7 8 9 10 11
## [1383,] 1 2 3 4 5 6 7 8 9 10 11
## [1384,] 1 2 3 4 5 6 7 8 9 10 11
## [1385,] 1 2 3 4 5 6 7 8 9 10 11
## [1386,] 1 2 3 4 5 6 7 8 9 10 11
## [1387,] 1 2 3 4 5 6 7 8 9 10 11
## [1388,] 1 2 3 4 5 6 7 8 9 10 11
## [1389,] 1 2 3 4 5 6 7 8 9 10 11
## [1390,] 1 2 3 4 5 6 7 8 9 10 11
## [1391,] 1 2 3 4 5 6 7 8 9 10 11
## [1392,] 1 2 3 4 5 6 7 8 9 10 11
## [1393,] 1 2 3 4 5 6 7 8 9 10 11
## [1394,] 1 2 3 4 5 6 7 8 9 10 11
## [1395,] 1 2 3 4 5 6 7 8 9 10 11
## [1396,] 1 2 3 4 5 6 7 8 9 10 11
## [1397,] 1 2 3 4 5 6 7 8 9 10 11
## [1398,] 1 2 3 4 5 6 7 8 9 10 11
## [1399,] 1 2 3 4 5 6 7 8 9 10 11
## [1400,] 1 2 3 4 5 6 7 8 9 10 11
## [1401,] 1 2 3 4 5 6 7 8 9 10 11
## [1402,] 1 2 3 4 5 6 7 8 9 10 11
## [1403,] 1 2 3 4 5 6 7 8 9 10 11
## [1404,] 1 2 3 4 5 6 7 8 9 10 11
## [1405,] 1 2 3 4 5 6 7 8 9 10 11
## [1406,] 1 2 3 4 5 6 7 8 9 10 11
## [1407,] 1 2 3 4 5 6 7 8 9 10 11
## [1408,] 1 2 3 4 5 6 7 8 9 10 11
## [1409,] 1 2 3 4 5 6 7 8 9 10 11
## [1410,] 1 2 3 4 5 6 7 8 9 10 11
## [1411,] 1 2 3 4 5 6 7 8 9 10 11
## [1412,] 1 2 3 4 5 6 7 8 9 10 11
## [1413,] 1 2 3 4 5 6 7 8 9 10 11
## [1414,] 1 2 3 4 5 6 7 8 9 10 11
## [1415,] 1 2 3 4 5 6 7 8 9 10 11
## [1416,] 1 2 3 4 5 6 7 8 9 10 11
## [1417,] 1 2 3 4 5 6 7 8 9 10 11
## [1418,] 1 2 3 4 5 6 7 8 9 10 11
## [1419,] 1 2 3 4 5 6 7 8 9 10 11
## [1420,] 1 2 3 4 5 6 7 8 9 10 11
## [1421,] 1 2 3 4 5 6 7 8 9 10 11
## [1422,] 1 2 3 4 5 6 7 8 9 10 11
## [1423,] 1 2 3 4 5 6 7 8 9 10 11
## [1424,] 1 2 3 4 5 6 7 8 9 10 11
## [1425,] 1 2 3 4 5 6 7 8 9 10 11
## [1426,] 1 2 3 4 5 6 7 8 9 10 11
## [1427,] 1 2 3 4 5 6 7 8 9 10 11
## [1428,] 1 2 3 4 5 6 7 8 9 10 11
## [1429,] 1 2 3 4 5 6 7 8 9 10 11
## [1430,] 1 2 3 4 5 6 7 8 9 10 11
## [1431,] 1 2 3 4 5 6 7 8 9 10 11
## [1432,] 1 2 3 4 5 6 7 8 9 10 11
## [1433,] 1 2 3 4 5 6 7 8 9 10 11
## [1434,] 1 2 3 4 5 6 7 8 9 10 11
## [1435,] 1 2 3 4 5 6 7 8 9 10 11
## [1436,] 1 2 3 4 5 6 7 8 9 10 11
## [1437,] 1 2 3 4 5 6 7 8 9 10 11
## [1438,] 1 2 3 4 5 6 7 8 9 10 11
## [1439,] 1 2 3 4 5 6 7 8 9 10 11
## [1440,] 1 2 3 4 5 6 7 8 9 10 11
## [1441,] 1 2 3 4 5 6 7 8 9 10 11
## [1442,] 1 2 3 4 5 6 7 8 9 10 11
## [1443,] 1 2 3 4 5 6 7 8 9 10 11
## [1444,] 1 2 3 4 5 6 7 8 9 10 11
## [1445,] 1 2 3 4 5 6 7 8 9 10 11
## [1446,] 1 2 3 4 5 6 7 8 9 10 11
## [1447,] 1 2 3 4 5 6 7 8 9 10 11
## [1448,] 1 2 3 4 5 6 7 8 9 10 11
## [1449,] 1 2 3 4 5 6 7 8 9 10 11
## [1450,] 1 2 3 4 5 6 7 8 9 10 11
## [1451,] 1 2 3 4 5 6 7 8 9 10 11
## [1452,] 1 2 3 4 5 6 7 8 9 10 11
## [1453,] 1 2 3 4 5 6 7 8 9 10 11
## [1454,] 1 2 3 4 5 6 7 8 9 10 11
## [1455,] 1 2 3 4 5 6 7 8 9 10 11
## [1456,] 1 2 3 4 5 6 7 8 9 10 11
## [1457,] 1 2 3 4 5 6 7 8 9 10 11
## [1458,] 1 2 3 4 5 6 7 8 9 10 11
## [1459,] 1 2 3 4 5 6 7 8 9 10 11
## [1460,] 1 2 3 4 5 6 7 8 9 10 11
## [1461,] 1 2 3 4 5 6 7 8 9 10 11
## [1462,] 1 2 3 4 5 6 7 8 9 10 11
## [1463,] 1 2 3 4 5 6 7 8 9 10 11
## [1464,] 1 2 3 4 5 6 7 8 9 10 11
## [1465,] 1 2 3 4 5 6 7 8 9 10 11
## [1466,] 1 2 3 4 5 6 7 8 9 10 11
## [1467,] 1 2 3 4 5 6 7 8 9 10 11
## [1468,] 1 2 3 4 5 6 7 8 9 10 11
## [1469,] 1 2 3 4 5 6 7 8 9 10 11
## [1470,] 1 2 3 4 5 6 7 8 9 10 11
## [1471,] 1 2 3 4 5 6 7 8 9 10 11
## [1472,] 1 2 3 4 5 6 7 8 9 10 11
## [1473,] 1 2 3 4 5 6 7 8 9 10 11
## [1474,] 1 2 3 4 5 6 7 8 9 10 11
## [1475,] 1 2 3 4 5 6 7 8 9 10 11
## [1476,] 1 2 3 4 5 6 7 8 9 10 11
## [1477,] 1 2 3 4 5 6 7 8 9 10 11
## [1478,] 1 2 3 4 5 6 7 8 9 10 11
## [1479,] 1 2 3 4 5 6 7 8 9 10 11
## [1480,] 1 2 3 4 5 6 7 8 9 10 11
## [1481,] 1 2 3 4 5 6 7 8 9 10 11
## [1482,] 1 2 3 4 5 6 7 8 9 10 11
## [1483,] 1 2 3 4 5 6 7 8 9 10 11
## [1484,] 1 2 3 4 5 6 7 8 9 10 11
## [1485,] 1 2 3 4 5 6 7 8 9 10 11
## [1486,] 1 2 3 4 5 6 7 8 9 10 11
## [1487,] 1 2 3 4 5 6 7 8 9 10 11
## [1488,] 1 2 3 4 5 6 7 8 9 10 11
## [1489,] 1 2 3 4 5 6 7 8 9 10 11
## [1490,] 1 2 3 4 5 6 7 8 9 10 11
## [1491,] 1 2 3 4 5 6 7 8 9 10 11
## [1492,] 1 2 3 4 5 6 7 8 9 10 11
## [1493,] 1 2 3 4 5 6 7 8 9 10 11
## [1494,] 1 2 3 4 5 6 7 8 9 10 11
## [1495,] 1 2 3 4 5 6 7 8 9 10 11
## [1496,] 1 2 3 4 5 6 7 8 9 10 11
## [1497,] 1 2 3 4 5 6 7 8 9 10 11
## [1498,] 1 2 3 4 5 6 7 8 9 10 11
## [1499,] 1 2 3 4 5 6 7 8 9 10 11
## [1500,] 1 2 3 4 5 6 7 8 9 10 11
## [1501,] 1 2 3 4 5 6 7 8 9 10 11
## [1502,] 1 2 3 4 5 6 7 8 9 10 11
## [1503,] 1 2 3 4 5 6 7 8 9 10 11
## [1504,] 1 2 3 4 5 6 7 8 9 10 11
## [1505,] 1 2 3 4 5 6 7 8 9 10 11
## [1506,] 1 2 3 4 5 6 7 8 9 10 11
## [1507,] 1 2 3 4 5 6 7 8 9 10 11
## [1508,] 1 2 3 4 5 6 7 8 9 10 11
## [1509,] 1 2 3 4 5 6 7 8 9 10 11
## [1510,] 1 2 3 4 5 6 7 8 9 10 11
## [1511,] 1 2 3 4 5 6 7 8 9 10 11
## [1512,] 1 2 3 4 5 6 7 8 9 10 11
## [1513,] 1 2 3 4 5 6 7 8 9 10 11
## [1514,] 1 2 3 4 5 6 7 8 9 10 11
## [1515,] 1 2 3 4 5 6 7 8 9 10 11
## [1516,] 1 2 3 4 5 6 7 8 9 10 11
## [1517,] 1 2 3 4 5 6 7 8 9 10 11
## [1518,] 1 2 3 4 5 6 7 8 9 10 11
## [1519,] 1 2 3 4 5 6 7 8 9 10 11
## [1520,] 1 2 3 4 5 6 7 8 9 10 11
## [1521,] 1 2 3 4 5 6 7 8 9 10 11
## [1522,] 1 2 3 4 5 6 7 8 9 10 11
## [1523,] 1 2 3 4 5 6 7 8 9 10 11
## [1524,] 1 2 3 4 5 6 7 8 9 10 11
## [1525,] 1 2 3 4 5 6 7 8 9 10 11
## [1526,] 1 2 3 4 5 6 7 8 9 10 11
## [1527,] 1 2 3 4 5 6 7 8 9 10 11
## [1528,] 1 2 3 4 5 6 7 8 9 10 11
## [1529,] 1 2 3 4 5 6 7 8 9 10 11
## [1530,] 1 2 3 4 5 6 7 8 9 10 11
## [1531,] 1 2 3 4 5 6 7 8 9 10 11
## [1532,] 1 2 3 4 5 6 7 8 9 10 11
## [1533,] 1 2 3 4 5 6 7 8 9 10 11
## [1534,] 1 2 3 4 5 6 7 8 9 10 11
## [1535,] 1 2 3 4 5 6 7 8 9 10 11
## [1536,] 1 2 3 4 5 6 7 8 9 10 11
## [1537,] 1 2 3 4 5 6 7 8 9 10 11
## [1538,] 1 2 3 4 5 6 7 8 9 10 11
## [1539,] 1 2 3 4 5 6 7 8 9 10 11
## [1540,] 1 2 3 4 5 6 7 8 9 10 11
## [1541,] 1 2 3 4 5 6 7 8 9 10 11
## [1542,] 1 2 3 4 5 6 7 8 9 10 11
## [1543,] 1 2 3 4 5 6 7 8 9 10 11
## [1544,] 1 2 3 4 5 6 7 8 9 10 11
## [1545,] 1 2 3 4 5 6 7 8 9 10 11
## [1546,] 1 2 3 4 5 6 7 8 9 10 11
## [1547,] 1 2 3 4 5 6 7 8 9 10 11
## [1548,] 1 2 3 4 5 6 7 8 9 10 11
## [1549,] 1 2 3 4 5 6 7 8 9 10 11
## [1550,] 1 2 3 4 5 6 7 8 9 10 11
## [1551,] 1 2 3 4 5 6 7 8 9 10 11
## [1552,] 1 2 3 4 5 6 7 8 9 10 11
## [1553,] 1 2 3 4 5 6 7 8 9 10 11
## [1554,] 1 2 3 4 5 6 7 8 9 10 11
## [1555,] 1 2 3 4 5 6 7 8 9 10 11
## [1556,] 1 2 3 4 5 6 7 8 9 10 11
## [1557,] 1 2 3 4 5 6 7 8 9 10 11
## [1558,] 1 2 3 4 5 6 7 8 9 10 11
## [1559,] 1 2 3 4 5 6 7 8 9 10 11
## [1560,] 1 2 3 4 5 6 7 8 9 10 11
## [1561,] 1 2 3 4 5 6 7 8 9 10 11
## [1562,] 1 2 3 4 5 6 7 8 9 10 11
## [1563,] 1 2 3 4 5 6 7 8 9 10 11
## [1564,] 1 2 3 4 5 6 7 8 9 10 11
## [1565,] 1 2 3 4 5 6 7 8 9 10 11
## [1566,] 1 2 3 4 5 6 7 8 9 10 11
## [1567,] 1 2 3 4 5 6 7 8 9 10 11
## [1568,] 1 2 3 4 5 6 7 8 9 10 11
## [1569,] 1 2 3 4 5 6 7 8 9 10 11
## [1570,] 1 2 3 4 5 6 7 8 9 10 11
## [1571,] 1 2 3 4 5 6 7 8 9 10 11
## [1572,] 1 2 3 4 5 6 7 8 9 10 11
## [1573,] 1 2 3 4 5 6 7 8 9 10 11
## [1574,] 1 2 3 4 5 6 7 8 9 10 11
## [1575,] 1 2 3 4 5 6 7 8 9 10 11
## [1576,] 1 2 3 4 5 6 7 8 9 10 11
## [1577,] 1 2 3 4 5 6 7 8 9 10 11
## [1578,] 1 2 3 4 5 6 7 8 9 10 11
## [1579,] 1 2 3 4 5 6 7 8 9 10 11
## [1580,] 1 2 3 4 5 6 7 8 9 10 11
## [1581,] 1 2 3 4 5 6 7 8 9 10 11
## [1582,] 1 2 3 4 5 6 7 8 9 10 11
## [1583,] 1 2 3 4 5 6 7 8 9 10 11
## [1584,] 1 2 3 4 5 6 7 8 9 10 11
## [1585,] 1 2 3 4 5 6 7 8 9 10 11
## [1586,] 1 2 3 4 5 6 7 8 9 10 11
## [1587,] 1 2 3 4 5 6 7 8 9 10 11
## [1588,] 1 2 3 4 5 6 7 8 9 10 11
## [1589,] 1 2 3 4 5 6 7 8 9 10 11
## [1590,] 1 2 3 4 5 6 7 8 9 10 11
## [1591,] 1 2 3 4 5 6 7 8 9 10 11
## [1592,] 1 2 3 4 5 6 7 8 9 10 11
## [1593,] 1 2 3 4 5 6 7 8 9 10 11
## [1594,] 1 2 3 4 5 6 7 8 9 10 11
## [1595,] 1 2 3 4 5 6 7 8 9 10 11
## [1596,] 1 2 3 4 5 6 7 8 9 10 11
## [1597,] 1 2 3 4 5 6 7 8 9 10 11
## [1598,] 1 2 3 4 5 6 7 8 9 10 11
## [1599,] 1 2 3 4 5 6 7 8 9 10 11
## [1600,] 1 2 3 4 5 6 7 8 9 10 11
## [1601,] 1 2 3 4 5 6 7 8 9 10 11
## [1602,] 1 2 3 4 5 6 7 8 9 10 11
## [1603,] 1 2 3 4 5 6 7 8 9 10 11
## [1604,] 1 2 3 4 5 6 7 8 9 10 11
## [1605,] 1 2 3 4 5 6 7 8 9 10 11
## [1606,] 1 2 3 4 5 6 7 8 9 10 11
## [1607,] 1 2 3 4 5 6 7 8 9 10 11
## [1608,] 1 2 3 4 5 6 7 8 9 10 11
## [1609,] 1 2 3 4 5 6 7 8 9 10 11
## [1610,] 1 2 3 4 5 6 7 8 9 10 11
## [1611,] 1 2 3 4 5 6 7 8 9 10 11
## [1612,] 1 2 3 4 5 6 7 8 9 10 11
## [1613,] 1 2 3 4 5 6 7 8 9 10 11
## [1614,] 1 2 3 4 5 6 7 8 9 10 11
## [1615,] 1 2 3 4 5 6 7 8 9 10 11
## [1616,] 1 2 3 4 5 6 7 8 9 10 11
## [1617,] 1 2 3 4 5 6 7 8 9 10 11
## [1618,] 1 2 3 4 5 6 7 8 9 10 11
## [1619,] 1 2 3 4 5 6 7 8 9 10 11
## [1620,] 1 2 3 4 5 6 7 8 9 10 11
## [1621,] 1 2 3 4 5 6 7 8 9 10 11
## [1622,] 1 2 3 4 5 6 7 8 9 10 11
## [1623,] 1 2 3 4 5 6 7 8 9 10 11
## [1624,] 1 2 3 4 5 6 7 8 9 10 11
## [1625,] 1 2 3 4 5 6 7 8 9 10 11
## [1626,] 1 2 3 4 5 6 7 8 9 10 11
## [1627,] 1 2 3 4 5 6 7 8 9 10 11
## [1628,] 1 2 3 4 5 6 7 8 9 10 11
## [1629,] 1 2 3 4 5 6 7 8 9 10 11
## [1630,] 1 2 3 4 5 6 7 8 9 10 11
## [1631,] 1 2 3 4 5 6 7 8 9 10 11
## [1632,] 1 2 3 4 5 6 7 8 9 10 11
## [1633,] 1 2 3 4 5 6 7 8 9 10 11
## [1634,] 1 2 3 4 5 6 7 8 9 10 11
## [1635,] 1 2 3 4 5 6 7 8 9 10 11
## [1636,] 1 2 3 4 5 6 7 8 9 10 11
## [1637,] 1 2 3 4 5 6 7 8 9 10 11
## [1638,] 1 2 3 4 5 6 7 8 9 10 11
## [1639,] 1 2 3 4 5 6 7 8 9 10 11
## [1640,] 1 2 3 4 5 6 7 8 9 10 11
## [1641,] 1 2 3 4 5 6 7 8 9 10 11
## [1642,] 1 2 3 4 5 6 7 8 9 10 11
## [1643,] 1 2 3 4 5 6 7 8 9 10 11
## [1644,] 1 2 3 4 5 6 7 8 9 10 11
## [1645,] 1 2 3 4 5 6 7 8 9 10 11
## [1646,] 1 2 3 4 5 6 7 8 9 10 11
## [1647,] 1 2 3 4 5 6 7 8 9 10 11
## [1648,] 1 2 3 4 5 6 7 8 9 10 11
## [1649,] 1 2 3 4 5 6 7 8 9 10 11
## [1650,] 1 2 3 4 5 6 7 8 9 10 11
## [1651,] 1 2 3 4 5 6 7 8 9 10 11
## [1652,] 1 2 3 4 5 6 7 8 9 10 11
## [1653,] 1 2 3 4 5 6 7 8 9 10 11
## [1654,] 1 2 3 4 5 6 7 8 9 10 11
## [1655,] 1 2 3 4 5 6 7 8 9 10 11
## [1656,] 1 2 3 4 5 6 7 8 9 10 11
## [1657,] 1 2 3 4 5 6 7 8 9 10 11
## [1658,] 1 2 3 4 5 6 7 8 9 10 11
## [1659,] 1 2 3 4 5 6 7 8 9 10 11
## [1660,] 1 2 3 4 5 6 7 8 9 10 11
## [1661,] 1 2 3 4 5 6 7 8 9 10 11
## [1662,] 1 2 3 4 5 6 7 8 9 10 11
## [1663,] 1 2 3 4 5 6 7 8 9 10 11
## [1664,] 1 2 3 4 5 6 7 8 9 10 11
## [1665,] 1 2 3 4 5 6 7 8 9 10 11
## [1666,] 1 2 3 4 5 6 7 8 9 10 11
## [1667,] 1 2 3 4 5 6 7 8 9 10 11
## [1668,] 1 2 3 4 5 6 7 8 9 10 11
## [1669,] 1 2 3 4 5 6 7 8 9 10 11
## [1670,] 1 2 3 4 5 6 7 8 9 10 11
## [1671,] 1 2 3 4 5 6 7 8 9 10 11
## [1672,] 1 2 3 4 5 6 7 8 9 10 11
## [1673,] 1 2 3 4 5 6 7 8 9 10 11
## [1674,] 1 2 3 4 5 6 7 8 9 10 11
## [1675,] 1 2 3 4 5 6 7 8 9 10 11
## [1676,] 1 2 3 4 5 6 7 8 9 10 11
## [1677,] 1 2 3 4 5 6 7 8 9 10 11
## [1678,] 1 2 3 4 5 6 7 8 9 10 11
## [1679,] 1 2 3 4 5 6 7 8 9 10 11
## [1680,] 1 2 3 4 5 6 7 8 9 10 11
## [1681,] 1 2 3 4 5 6 7 8 9 10 11
## [1682,] 1 2 3 4 5 6 7 8 9 10 11
## [1683,] 1 2 3 4 5 6 7 8 9 10 11
## [1684,] 1 2 3 4 5 6 7 8 9 10 11
## [1685,] 1 2 3 4 5 6 7 8 9 10 11
## [1686,] 1 2 3 4 5 6 7 8 9 10 11
## [1687,] 1 2 3 4 5 6 7 8 9 10 11
## [1688,] 1 2 3 4 5 6 7 8 9 10 11
## [1689,] 1 2 3 4 5 6 7 8 9 10 11
## [1690,] 1 2 3 4 5 6 7 8 9 10 11
## [1691,] 1 2 3 4 5 6 7 8 9 10 11
## [1692,] 1 2 3 4 5 6 7 8 9 10 11
## [1693,] 1 2 3 4 5 6 7 8 9 10 11
## [1694,] 1 2 3 4 5 6 7 8 9 10 11
## [1695,] 1 2 3 4 5 6 7 8 9 10 11
## [1696,] 1 2 3 4 5 6 7 8 9 10 11
## [1697,] 1 2 3 4 5 6 7 8 9 10 11
## [1698,] 1 2 3 4 5 6 7 8 9 10 11
## [1699,] 1 2 3 4 5 6 7 8 9 10 11
## [1700,] 1 2 3 4 5 6 7 8 9 10 11
## [1701,] 1 2 3 4 5 6 7 8 9 10 11
## [1702,] 1 2 3 4 5 6 7 8 9 10 11
## [1703,] 1 2 3 4 5 6 7 8 9 10 11
## [1704,] 1 2 3 4 5 6 7 8 9 10 11
## [1705,] 1 2 3 4 5 6 7 8 9 10 11
## [1706,] 1 2 3 4 5 6 7 8 9 10 11
## [1707,] 1 2 3 4 5 6 7 8 9 10 11
## [1708,] 1 2 3 4 5 6 7 8 9 10 11
## [1709,] 1 2 3 4 5 6 7 8 9 10 11
## [1710,] 1 2 3 4 5 6 7 8 9 10 11
## [1711,] 1 2 3 4 5 6 7 8 9 10 11
## [1712,] 1 2 3 4 5 6 7 8 9 10 11
## [1713,] 1 2 3 4 5 6 7 8 9 10 11
## [1714,] 1 2 3 4 5 6 7 8 9 10 11
## [1715,] 1 2 3 4 5 6 7 8 9 10 11
## [1716,] 1 2 3 4 5 6 7 8 9 10 11
## [1717,] 1 2 3 4 5 6 7 8 9 10 11
## [1718,] 1 2 3 4 5 6 7 8 9 10 11
## [1719,] 1 2 3 4 5 6 7 8 9 10 11
## [1720,] 1 2 3 4 5 6 7 8 9 10 11
## [1721,] 1 2 3 4 5 6 7 8 9 10 11
## [1722,] 1 2 3 4 5 6 7 8 9 10 11
## [1723,] 1 2 3 4 5 6 7 8 9 10 11
## [1724,] 1 2 3 4 5 6 7 8 9 10 11
## [1725,] 1 2 3 4 5 6 7 8 9 10 11
## [1726,] 1 2 3 4 5 6 7 8 9 10 11
## [1727,] 1 2 3 4 5 6 7 8 9 10 11
## [1728,] 1 2 3 4 5 6 7 8 9 10 11
## [1729,] 1 2 3 4 5 6 7 8 9 10 11
## [1730,] 1 2 3 4 5 6 7 8 9 10 11
## [1731,] 1 2 3 4 5 6 7 8 9 10 11
## [1732,] 1 2 3 4 5 6 7 8 9 10 11
## [1733,] 1 2 3 4 5 6 7 8 9 10 11
## [1734,] 1 2 3 4 5 6 7 8 9 10 11
## [1735,] 1 2 3 4 5 6 7 8 9 10 11
## [1736,] 1 2 3 4 5 6 7 8 9 10 11
## [1737,] 1 2 3 4 5 6 7 8 9 10 11
## [1738,] 1 2 3 4 5 6 7 8 9 10 11
## [1739,] 1 2 3 4 5 6 7 8 9 10 11
## [1740,] 1 2 3 4 5 6 7 8 9 10 11
## [1741,] 1 2 3 4 5 6 7 8 9 10 11
## [1742,] 1 2 3 4 5 6 7 8 9 10 11
## [1743,] 1 2 3 4 5 6 7 8 9 10 11
## [1744,] 1 2 3 4 5 6 7 8 9 10 11
## [1745,] 1 2 3 4 5 6 7 8 9 10 11
## [1746,] 1 2 3 4 5 6 7 8 9 10 11
## [1747,] 1 2 3 4 5 6 7 8 9 10 11
## [1748,] 1 2 3 4 5 6 7 8 9 10 11
## [1749,] 1 2 3 4 5 6 7 8 9 10 11
## [1750,] 1 2 3 4 5 6 7 8 9 10 11
## [1751,] 1 2 3 4 5 6 7 8 9 10 11
## [1752,] 1 2 3 4 5 6 7 8 9 10 11
## [1753,] 1 2 3 4 5 6 7 8 9 10 11
## [1754,] 1 2 3 4 5 6 7 8 9 10 11
## [1755,] 1 2 3 4 5 6 7 8 9 10 11
## [1756,] 1 2 3 4 5 6 7 8 9 10 11
## [1757,] 1 2 3 4 5 6 7 8 9 10 11
## [1758,] 1 2 3 4 5 6 7 8 9 10 11
## [1759,] 1 2 3 4 5 6 7 8 9 10 11
## [1760,] 1 2 3 4 5 6 7 8 9 10 11
## [1761,] 1 2 3 4 5 6 7 8 9 10 11
## [1762,] 1 2 3 4 5 6 7 8 9 10 11
## [1763,] 1 2 3 4 5 6 7 8 9 10 11
## [1764,] 1 2 3 4 5 6 7 8 9 10 11
## [1765,] 1 2 3 4 5 6 7 8 9 10 11
## [1766,] 1 2 3 4 5 6 7 8 9 10 11
## [1767,] 1 2 3 4 5 6 7 8 9 10 11
## [1768,] 1 2 3 4 5 6 7 8 9 10 11
## [1769,] 1 2 3 4 5 6 7 8 9 10 11
## [1770,] 1 2 3 4 5 6 7 8 9 10 11
## [1771,] 1 2 3 4 5 6 7 8 9 10 11
## [1772,] 1 2 3 4 5 6 7 8 9 10 11
## [1773,] 1 2 3 4 5 6 7 8 9 10 11
## [1774,] 1 2 3 4 5 6 7 8 9 10 11
## [1775,] 1 2 3 4 5 6 7 8 9 10 11
## [1776,] 1 2 3 4 5 6 7 8 9 10 11
## [1777,] 1 2 3 4 5 6 7 8 9 10 11
## [1778,] 1 2 3 4 5 6 7 8 9 10 11
## [1779,] 1 2 3 4 5 6 7 8 9 10 11
## [1780,] 1 2 3 4 5 6 7 8 9 10 11
## [1781,] 1 2 3 4 5 6 7 8 9 10 11
## [1782,] 1 2 3 4 5 6 7 8 9 10 11
## [1783,] 1 2 3 4 5 6 7 8 9 10 11
## [1784,] 1 2 3 4 5 6 7 8 9 10 11
## [1785,] 1 2 3 4 5 6 7 8 9 10 11
## [1786,] 1 2 3 4 5 6 7 8 9 10 11
## [1787,] 1 2 3 4 5 6 7 8 9 10 11
## [1788,] 1 2 3 4 5 6 7 8 9 10 11
## [1789,] 1 2 3 4 5 6 7 8 9 10 11
## [1790,] 1 2 3 4 5 6 7 8 9 10 11
## [1791,] 1 2 3 4 5 6 7 8 9 10 11
## [1792,] 1 2 3 4 5 6 7 8 9 10 11
## [1793,] 1 2 3 4 5 6 7 8 9 10 11
## [1794,] 1 2 3 4 5 6 7 8 9 10 11
## [1795,] 1 2 3 4 5 6 7 8 9 10 11
## [1796,] 1 2 3 4 5 6 7 8 9 10 11
## [1797,] 1 2 3 4 5 6 7 8 9 10 11
## [1798,] 1 2 3 4 5 6 7 8 9 10 11
## [1799,] 1 2 3 4 5 6 7 8 9 10 11
## [1800,] 1 2 3 4 5 6 7 8 9 10 11
## [1801,] 1 2 3 4 5 6 7 8 9 10 11
## [1802,] 1 2 3 4 5 6 7 8 9 10 11
## [1803,] 1 2 3 4 5 6 7 8 9 10 11
## [1804,] 1 2 3 4 5 6 7 8 9 10 11
## [1805,] 1 2 3 4 5 6 7 8 9 10 11
## [1806,] 1 2 3 4 5 6 7 8 9 10 11
## [1807,] 1 2 3 4 5 6 7 8 9 10 11
## [1808,] 1 2 3 4 5 6 7 8 9 10 11
## [1809,] 1 2 3 4 5 6 7 8 9 10 11
## [1810,] 1 2 3 4 5 6 7 8 9 10 11
## [1811,] 1 2 3 4 5 6 7 8 9 10 11
## [1812,] 1 2 3 4 5 6 7 8 9 10 11
## [1813,] 1 2 3 4 5 6 7 8 9 10 11
## [1814,] 1 2 3 4 5 6 7 8 9 10 11
## [1815,] 1 2 3 4 5 6 7 8 9 10 11
## [1816,] 1 2 3 4 5 6 7 8 9 10 11
## [1817,] 1 2 3 4 5 6 7 8 9 10 11
## [1818,] 1 2 3 4 5 6 7 8 9 10 11
## [1819,] 1 2 3 4 5 6 7 8 9 10 11
## [1820,] 1 2 3 4 5 6 7 8 9 10 11
## [1821,] 1 2 3 4 5 6 7 8 9 10 11
## [1822,] 1 2 3 4 5 6 7 8 9 10 11
## [1823,] 1 2 3 4 5 6 7 8 9 10 11
## [1824,] 1 2 3 4 5 6 7 8 9 10 11
## [1825,] 1 2 3 4 5 6 7 8 9 10 11
## [1826,] 1 2 3 4 5 6 7 8 9 10 11
## [1827,] 1 2 3 4 5 6 7 8 9 10 11
## [1828,] 1 2 3 4 5 6 7 8 9 10 11
## [1829,] 1 2 3 4 5 6 7 8 9 10 11
## [1830,] 1 2 3 4 5 6 7 8 9 10 11
## [1831,] 1 2 3 4 5 6 7 8 9 10 11
## [1832,] 1 2 3 4 5 6 7 8 9 10 11
## [1833,] 1 2 3 4 5 6 7 8 9 10 11
## [1834,] 1 2 3 4 5 6 7 8 9 10 11
## [1835,] 1 2 3 4 5 6 7 8 9 10 11
## [1836,] 1 2 3 4 5 6 7 8 9 10 11
## [1837,] 1 2 3 4 5 6 7 8 9 10 11
## [1838,] 1 2 3 4 5 6 7 8 9 10 11
## [1839,] 1 2 3 4 5 6 7 8 9 10 11
## [1840,] 1 2 3 4 5 6 7 8 9 10 11
## [1841,] 1 2 3 4 5 6 7 8 9 10 11
## [1842,] 1 2 3 4 5 6 7 8 9 10 11
## [1843,] 1 2 3 4 5 6 7 8 9 10 11
## [1844,] 1 2 3 4 5 6 7 8 9 10 11
## [1845,] 1 2 3 4 5 6 7 8 9 10 11
## [1846,] 1 2 3 4 5 6 7 8 9 10 11
## [1847,] 1 2 3 4 5 6 7 8 9 10 11
## [1848,] 1 2 3 4 5 6 7 8 9 10 11
## [1849,] 1 2 3 4 5 6 7 8 9 10 11
## [1850,] 1 2 3 4 5 6 7 8 9 10 11
## [1851,] 1 2 3 4 5 6 7 8 9 10 11
## [1852,] 1 2 3 4 5 6 7 8 9 10 11
## [1853,] 1 2 3 4 5 6 7 8 9 10 11
## [1854,] 1 2 3 4 5 6 7 8 9 10 11
## [1855,] 1 2 3 4 5 6 7 8 9 10 11
## [1856,] 1 2 3 4 5 6 7 8 9 10 11
## [1857,] 1 2 3 4 5 6 7 8 9 10 11
## [1858,] 1 2 3 4 5 6 7 8 9 10 11
## [1859,] 1 2 3 4 5 6 7 8 9 10 11
## [1860,] 1 2 3 4 5 6 7 8 9 10 11
## [1861,] 1 2 3 4 5 6 7 8 9 10 11
## [1862,] 1 2 3 4 5 6 7 8 9 10 11
## [1863,] 1 2 3 4 5 6 7 8 9 10 11
## [1864,] 1 2 3 4 5 6 7 8 9 10 11
## [1865,] 1 2 3 4 5 6 7 8 9 10 11
## [1866,] 1 2 3 4 5 6 7 8 9 10 11
## [1867,] 1 2 3 4 5 6 7 8 9 10 11
## [1868,] 1 2 3 4 5 6 7 8 9 10 11
## [1869,] 1 2 3 4 5 6 7 8 9 10 11
## [1870,] 1 2 3 4 5 6 7 8 9 10 11
## [1871,] 1 2 3 4 5 6 7 8 9 10 11
## [1872,] 1 2 3 4 5 6 7 8 9 10 11
## [1873,] 1 2 3 4 5 6 7 8 9 10 11
## [1874,] 1 2 3 4 5 6 7 8 9 10 11
## [1875,] 1 2 3 4 5 6 7 8 9 10 11
## [1876,] 1 2 3 4 5 6 7 8 9 10 11
## [1877,] 1 2 3 4 5 6 7 8 9 10 11
## [1878,] 1 2 3 4 5 6 7 8 9 10 11
## [1879,] 1 2 3 4 5 6 7 8 9 10 11
## [1880,] 1 2 3 4 5 6 7 8 9 10 11
## [1881,] 1 2 3 4 5 6 7 8 9 10 11
## [1882,] 1 2 3 4 5 6 7 8 9 10 11
## [1883,] 1 2 3 4 5 6 7 8 9 10 11
## [1884,] 1 2 3 4 5 6 7 8 9 10 11
## [1885,] 1 2 3 4 5 6 7 8 9 10 11
## [1886,] 1 2 3 4 5 6 7 8 9 10 11
## [1887,] 1 2 3 4 5 6 7 8 9 10 11
## [1888,] 1 2 3 4 5 6 7 8 9 10 11
## [1889,] 1 2 3 4 5 6 7 8 9 10 11
## [1890,] 1 2 3 4 5 6 7 8 9 10 11
## [1891,] 1 2 3 4 5 6 7 8 9 10 11
## [1892,] 1 2 3 4 5 6 7 8 9 10 11
## [1893,] 1 2 3 4 5 6 7 8 9 10 11
## [1894,] 1 2 3 4 5 6 7 8 9 10 11
## [1895,] 1 2 3 4 5 6 7 8 9 10 11
## [1896,] 1 2 3 4 5 6 7 8 9 10 11
## [1897,] 1 2 3 4 5 6 7 8 9 10 11
## [1898,] 1 2 3 4 5 6 7 8 9 10 11
## [1899,] 1 2 3 4 5 6 7 8 9 10 11
## [1900,] 1 2 3 4 5 6 7 8 9 10 11
## [1901,] 1 2 3 4 5 6 7 8 9 10 11
## [1902,] 1 2 3 4 5 6 7 8 9 10 11
## [1903,] 1 2 3 4 5 6 7 8 9 10 11
## [1904,] 1 2 3 4 5 6 7 8 9 10 11
## [1905,] 1 2 3 4 5 6 7 8 9 10 11
## [1906,] 1 2 3 4 5 6 7 8 9 10 11
## [1907,] 1 2 3 4 5 6 7 8 9 10 11
## [1908,] 1 2 3 4 5 6 7 8 9 10 11
## [1909,] 1 2 3 4 5 6 7 8 9 10 11
## [1910,] 1 2 3 4 5 6 7 8 9 10 11
## [1911,] 1 2 3 4 5 6 7 8 9 10 11
## [1912,] 1 2 3 4 5 6 7 8 9 10 11
## [1913,] 1 2 3 4 5 6 7 8 9 10 11
## [1914,] 1 2 3 4 5 6 7 8 9 10 11
## [1915,] 1 2 3 4 5 6 7 8 9 10 11
## [1916,] 1 2 3 4 5 6 7 8 9 10 11
## [1917,] 1 2 3 4 5 6 7 8 9 10 11
## [1918,] 1 2 3 4 5 6 7 8 9 10 11
## [1919,] 1 2 3 4 5 6 7 8 9 10 11
## [1920,] 1 2 3 4 5 6 7 8 9 10 11
## [1921,] 1 2 3 4 5 6 7 8 9 10 11
## [1922,] 1 2 3 4 5 6 7 8 9 10 11
## [1923,] 1 2 3 4 5 6 7 8 9 10 11
## [1924,] 1 2 3 4 5 6 7 8 9 10 11
## [1925,] 1 2 3 4 5 6 7 8 9 10 11
## [1926,] 1 2 3 4 5 6 7 8 9 10 11
## [1927,] 1 2 3 4 5 6 7 8 9 10 11
## [1928,] 1 2 3 4 5 6 7 8 9 10 11
## [1929,] 1 2 3 4 5 6 7 8 9 10 11
## [1930,] 1 2 3 4 5 6 7 8 9 10 11
## [1931,] 1 2 3 4 5 6 7 8 9 10 11
## [1932,] 1 2 3 4 5 6 7 8 9 10 11
## [1933,] 1 2 3 4 5 6 7 8 9 10 11
## [1934,] 1 2 3 4 5 6 7 8 9 10 11
## [1935,] 1 2 3 4 5 6 7 8 9 10 11
## [1936,] 1 2 3 4 5 6 7 8 9 10 11
## [1937,] 1 2 3 4 5 6 7 8 9 10 11
## [1938,] 1 2 3 4 5 6 7 8 9 10 11
## [1939,] 1 2 3 4 5 6 7 8 9 10 11
## [1940,] 1 2 3 4 5 6 7 8 9 10 11
## [1941,] 1 2 3 4 5 6 7 8 9 10 11
## [1942,] 1 2 3 4 5 6 7 8 9 10 11
## [1943,] 1 2 3 4 5 6 7 8 9 10 11
## [1944,] 1 2 3 4 5 6 7 8 9 10 11
## [1945,] 1 2 3 4 5 6 7 8 9 10 11
## [1946,] 1 2 3 4 5 6 7 8 9 10 11
## [1947,] 1 2 3 4 5 6 7 8 9 10 11
## [1948,] 1 2 3 4 5 6 7 8 9 10 11
## [1949,] 1 2 3 4 5 6 7 8 9 10 11colnames(df)## [1] "ï..Country.name" "year"
## [3] "Life.Ladder" "Log.GDP.per.capita"
## [5] "Social.support" "Healthy.life.expectancy.at.birth"
## [7] "Freedom.to.make.life.choices" "Generosity"
## [9] "Perceptions.of.corruption" "Positive.affect"
## [11] "Negative.affect"class(df)## [1] "data.frame"class(df$year)## [1] "integer"class(df$Life.Ladder)## [1] "numeric"class(df$Log.GDP.per.capita)## [1] "numeric"class(df$Social.support)## [1] "numeric"class(df$Healthy.life.expectancy.at.birth)## [1] "numeric"class(df$Freedom.to.make.life.choices)## [1] "numeric"class(df$Generosity)## [1] "numeric"class(df$Positive.affect)## [1] "numeric"class(df$Perceptions.of.corruption)## [1] "numeric"class(df$Negative.affect)## [1] "numeric"str(df)## 'data.frame': 1949 obs. of 11 variables:
## $ ï..Country.name : chr "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" ...
## $ year : int 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 ...
## $ Life.Ladder : num 3.72 4.4 4.76 3.83 3.78 ...
## $ Log.GDP.per.capita : num 7.37 7.54 7.65 7.62 7.71 ...
## $ Social.support : num 0.451 0.552 0.539 0.521 0.521 0.484 0.526 0.529 0.559 0.491 ...
## $ Healthy.life.expectancy.at.birth: num 50.8 51.2 51.6 51.9 52.2 ...
## $ Freedom.to.make.life.choices : num 0.718 0.679 0.6 0.496 0.531 0.578 0.509 0.389 0.523 0.427 ...
## $ Generosity : num 0.168 0.19 0.121 0.162 0.236 0.061 0.104 0.08 0.042 -0.121 ...
## $ Perceptions.of.corruption : num 0.882 0.85 0.707 0.731 0.776 0.823 0.871 0.881 0.793 0.954 ...
## $ Positive.affect : num 0.518 0.584 0.618 0.611 0.71 0.621 0.532 0.554 0.565 0.496 ...
## $ Negative.affect : num 0.258 0.237 0.275 0.267 0.268 0.273 0.375 0.339 0.348 0.371 ...head(stack(df))## values ind
## 1 Afghanistan ï..Country.name
## 2 Afghanistan ï..Country.name
## 3 Afghanistan ï..Country.name
## 4 Afghanistan ï..Country.name
## 5 Afghanistan ï..Country.name
## 6 Afghanistan ï..Country.namehead(unstack(df))## $`2056.289`
## [1] "Haiti"
##
## $`2060.127`
## [1] "Sierra Leone"
##
## $`2062.003`
## [1] "Central African Republic"
##
## $`2062.211`
## [1] "Zimbabwe"
##
## $`2062.328`
## [1] "Sierra Leone"
##
## $`2062.724`
## [1] "Haiti"head(rank(df))## ï..Country.name year
## 19123.5 19123.5
## Life.Ladder Log.GDP.per.capita
## 19123.5 19123.5
## Social.support Healthy.life.expectancy.at.birth
## 19123.5 19123.5head(order(df))## Warning in xtfrm.data.frame(x): cannot xtfrm data frames## [1] 13752 13898 14199 14201 14424 14486length(df$year)## [1] 1949length(df$Social.support)## [1] 1949length(df$Generosity)## [1] 1949mean(df$Social.support)## [1] NAmean(df$Positive.affect)## [1] NAmedian(df$Positive.affect)## [1] NAmedian(df$year)## [1] 2013mad(df$Positive.affect)## [1] NAmode(df$Social.support)## [1] "numeric"var(df$Positive.affect)## [1] NAsd(df$Positive.affect)## [1] NAquantile(df$Life.Ladder)## 0% 25% 50% 75% 100%
## 2.375 4.640 5.386 6.283 8.019fivenum(df$Positive.affect)## [1] 0.3220 0.6255 0.7220 0.7990 0.9440cov(df$Positive.affect,df$Negative.affect)## [1] NAvar.test(df$Positive.affect,df$Negative.affect)##
## F test to compare two variances
##
## data: df$Positive.affect and df$Negative.affect
## F = 1.5813, num df = 1926, denom df = 1932, p-value < 2.2e-16
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
## 1.446284 1.729015
## sample estimates:
## ratio of variances
## 1.581338head(structure(df))## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 2 Afghanistan 2009 4.402 7.540 0.552
## 3 Afghanistan 2010 4.758 7.647 0.539
## 4 Afghanistan 2011 3.832 7.620 0.521
## 5 Afghanistan 2012 3.783 7.705 0.521
## 6 Afghanistan 2013 3.572 7.725 0.484
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 2 51.20 0.679 0.190
## 3 51.60 0.600 0.121
## 4 51.92 0.496 0.162
## 5 52.24 0.531 0.236
## 6 52.56 0.578 0.061
## Perceptions.of.corruption Positive.affect Negative.affect
## 1 0.882 0.518 0.258
## 2 0.850 0.584 0.237
## 3 0.707 0.618 0.275
## 4 0.731 0.611 0.267
## 5 0.776 0.710 0.268
## 6 0.823 0.621 0.273ls.str(df)## Freedom.to.make.life.choices : num [1:1949] 0.718 0.679 0.6 0.496 0.531 0.578 0.509 0.389 0.523 0.427 ...
## Generosity : num [1:1949] 0.168 0.19 0.121 0.162 0.236 0.061 0.104 0.08 0.042 -0.121 ...
## Healthy.life.expectancy.at.birth : num [1:1949] 50.8 51.2 51.6 51.9 52.2 ...
## ï..Country.name : chr [1:1949] "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" ...
## Life.Ladder : num [1:1949] 3.72 4.4 4.76 3.83 3.78 ...
## Log.GDP.per.capita : num [1:1949] 7.37 7.54 7.65 7.62 7.71 ...
## Negative.affect : num [1:1949] 0.258 0.237 0.275 0.267 0.268 0.273 0.375 0.339 0.348 0.371 ...
## Perceptions.of.corruption : num [1:1949] 0.882 0.85 0.707 0.731 0.776 0.823 0.871 0.881 0.793 0.954 ...
## Positive.affect : num [1:1949] 0.518 0.584 0.618 0.611 0.71 0.621 0.532 0.554 0.565 0.496 ...
## Social.support : num [1:1949] 0.451 0.552 0.539 0.521 0.521 0.484 0.526 0.529 0.559 0.491 ...
## year : int [1:1949] 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 ...ls.str(pattern = 'df')## df : 'data.frame': 1949 obs. of 11 variables:
## $ ï..Country.name : chr "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" ...
## $ year : int 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 ...
## $ Life.Ladder : num 3.72 4.4 4.76 3.83 3.78 ...
## $ Log.GDP.per.capita : num 7.37 7.54 7.65 7.62 7.71 ...
## $ Social.support : num 0.451 0.552 0.539 0.521 0.521 0.484 0.526 0.529 0.559 0.491 ...
## $ Healthy.life.expectancy.at.birth: num 50.8 51.2 51.6 51.9 52.2 ...
## $ Freedom.to.make.life.choices : num 0.718 0.679 0.6 0.496 0.531 0.578 0.509 0.389 0.523 0.427 ...
## $ Generosity : num 0.168 0.19 0.121 0.162 0.236 0.061 0.104 0.08 0.042 -0.121 ...
## $ Perceptions.of.corruption : num 0.882 0.85 0.707 0.731 0.776 0.823 0.871 0.881 0.793 0.954 ...
## $ Positive.affect : num 0.518 0.584 0.618 0.611 0.71 0.621 0.532 0.554 0.565 0.496 ...
## $ Negative.affect : num 0.258 0.237 0.275 0.267 0.268 0.273 0.375 0.339 0.348 0.371 ...names(df)## [1] "ï..Country.name" "year"
## [3] "Life.Ladder" "Log.GDP.per.capita"
## [5] "Social.support" "Healthy.life.expectancy.at.birth"
## [7] "Freedom.to.make.life.choices" "Generosity"
## [9] "Perceptions.of.corruption" "Positive.affect"
## [11] "Negative.affect"row.names(df)## [1] "1" "2" "3" "4" "5" "6" "7" "8" "9" "10"
## [11] "11" "12" "13" "14" "15" "16" "17" "18" "19" "20"
## [21] "21" "22" "23" "24" "25" "26" "27" "28" "29" "30"
## [31] "31" "32" "33" "34" "35" "36" "37" "38" "39" "40"
## [41] "41" "42" "43" "44" "45" "46" "47" "48" "49" "50"
## [51] "51" "52" "53" "54" "55" "56" "57" "58" "59" "60"
## [61] "61" "62" "63" "64" "65" "66" "67" "68" "69" "70"
## [71] "71" "72" "73" "74" "75" "76" "77" "78" "79" "80"
## [81] "81" "82" "83" "84" "85" "86" "87" "88" "89" "90"
## [91] "91" "92" "93" "94" "95" "96" "97" "98" "99" "100"
## [101] "101" "102" "103" "104" "105" "106" "107" "108" "109" "110"
## [111] "111" "112" "113" "114" "115" "116" "117" "118" "119" "120"
## [121] "121" "122" "123" "124" "125" "126" "127" "128" "129" "130"
## [131] "131" "132" "133" "134" "135" "136" "137" "138" "139" "140"
## [141] "141" "142" "143" "144" "145" "146" "147" "148" "149" "150"
## [151] "151" "152" "153" "154" "155" "156" "157" "158" "159" "160"
## [161] "161" "162" "163" "164" "165" "166" "167" "168" "169" "170"
## [171] "171" "172" "173" "174" "175" "176" "177" "178" "179" "180"
## [181] "181" "182" "183" "184" "185" "186" "187" "188" "189" "190"
## [191] "191" "192" "193" "194" "195" "196" "197" "198" "199" "200"
## [201] "201" "202" "203" "204" "205" "206" "207" "208" "209" "210"
## [211] "211" "212" "213" "214" "215" "216" "217" "218" "219" "220"
## [221] "221" "222" "223" "224" "225" "226" "227" "228" "229" "230"
## [231] "231" "232" "233" "234" "235" "236" "237" "238" "239" "240"
## [241] "241" "242" "243" "244" "245" "246" "247" "248" "249" "250"
## [251] "251" "252" "253" "254" "255" "256" "257" "258" "259" "260"
## [261] "261" "262" "263" "264" "265" "266" "267" "268" "269" "270"
## [271] "271" "272" "273" "274" "275" "276" "277" "278" "279" "280"
## [281] "281" "282" "283" "284" "285" "286" "287" "288" "289" "290"
## [291] "291" "292" "293" "294" "295" "296" "297" "298" "299" "300"
## [301] "301" "302" "303" "304" "305" "306" "307" "308" "309" "310"
## [311] "311" "312" "313" "314" "315" "316" "317" "318" "319" "320"
## [321] "321" "322" "323" "324" "325" "326" "327" "328" "329" "330"
## [331] "331" "332" "333" "334" "335" "336" "337" "338" "339" "340"
## [341] "341" "342" "343" "344" "345" "346" "347" "348" "349" "350"
## [351] "351" "352" "353" "354" "355" "356" "357" "358" "359" "360"
## [361] "361" "362" "363" "364" "365" "366" "367" "368" "369" "370"
## [371] "371" "372" "373" "374" "375" "376" "377" "378" "379" "380"
## [381] "381" "382" "383" "384" "385" "386" "387" "388" "389" "390"
## [391] "391" "392" "393" "394" "395" "396" "397" "398" "399" "400"
## [401] "401" "402" "403" "404" "405" "406" "407" "408" "409" "410"
## [411] "411" "412" "413" "414" "415" "416" "417" "418" "419" "420"
## [421] "421" "422" "423" "424" "425" "426" "427" "428" "429" "430"
## [431] "431" "432" "433" "434" "435" "436" "437" "438" "439" "440"
## [441] "441" "442" "443" "444" "445" "446" "447" "448" "449" "450"
## [451] "451" "452" "453" "454" "455" "456" "457" "458" "459" "460"
## [461] "461" "462" "463" "464" "465" "466" "467" "468" "469" "470"
## [471] "471" "472" "473" "474" "475" "476" "477" "478" "479" "480"
## [481] "481" "482" "483" "484" "485" "486" "487" "488" "489" "490"
## [491] "491" "492" "493" "494" "495" "496" "497" "498" "499" "500"
## [501] "501" "502" "503" "504" "505" "506" "507" "508" "509" "510"
## [511] "511" "512" "513" "514" "515" "516" "517" "518" "519" "520"
## [521] "521" "522" "523" "524" "525" "526" "527" "528" "529" "530"
## [531] "531" "532" "533" "534" "535" "536" "537" "538" "539" "540"
## [541] "541" "542" "543" "544" "545" "546" "547" "548" "549" "550"
## [551] "551" "552" "553" "554" "555" "556" "557" "558" "559" "560"
## [561] "561" "562" "563" "564" "565" "566" "567" "568" "569" "570"
## [571] "571" "572" "573" "574" "575" "576" "577" "578" "579" "580"
## [581] "581" "582" "583" "584" "585" "586" "587" "588" "589" "590"
## [591] "591" "592" "593" "594" "595" "596" "597" "598" "599" "600"
## [601] "601" "602" "603" "604" "605" "606" "607" "608" "609" "610"
## [611] "611" "612" "613" "614" "615" "616" "617" "618" "619" "620"
## [621] "621" "622" "623" "624" "625" "626" "627" "628" "629" "630"
## [631] "631" "632" "633" "634" "635" "636" "637" "638" "639" "640"
## [641] "641" "642" "643" "644" "645" "646" "647" "648" "649" "650"
## [651] "651" "652" "653" "654" "655" "656" "657" "658" "659" "660"
## [661] "661" "662" "663" "664" "665" "666" "667" "668" "669" "670"
## [671] "671" "672" "673" "674" "675" "676" "677" "678" "679" "680"
## [681] "681" "682" "683" "684" "685" "686" "687" "688" "689" "690"
## [691] "691" "692" "693" "694" "695" "696" "697" "698" "699" "700"
## [701] "701" "702" "703" "704" "705" "706" "707" "708" "709" "710"
## [711] "711" "712" "713" "714" "715" "716" "717" "718" "719" "720"
## [721] "721" "722" "723" "724" "725" "726" "727" "728" "729" "730"
## [731] "731" "732" "733" "734" "735" "736" "737" "738" "739" "740"
## [741] "741" "742" "743" "744" "745" "746" "747" "748" "749" "750"
## [751] "751" "752" "753" "754" "755" "756" "757" "758" "759" "760"
## [761] "761" "762" "763" "764" "765" "766" "767" "768" "769" "770"
## [771] "771" "772" "773" "774" "775" "776" "777" "778" "779" "780"
## [781] "781" "782" "783" "784" "785" "786" "787" "788" "789" "790"
## [791] "791" "792" "793" "794" "795" "796" "797" "798" "799" "800"
## [801] "801" "802" "803" "804" "805" "806" "807" "808" "809" "810"
## [811] "811" "812" "813" "814" "815" "816" "817" "818" "819" "820"
## [821] "821" "822" "823" "824" "825" "826" "827" "828" "829" "830"
## [831] "831" "832" "833" "834" "835" "836" "837" "838" "839" "840"
## [841] "841" "842" "843" "844" "845" "846" "847" "848" "849" "850"
## [851] "851" "852" "853" "854" "855" "856" "857" "858" "859" "860"
## [861] "861" "862" "863" "864" "865" "866" "867" "868" "869" "870"
## [871] "871" "872" "873" "874" "875" "876" "877" "878" "879" "880"
## [881] "881" "882" "883" "884" "885" "886" "887" "888" "889" "890"
## [891] "891" "892" "893" "894" "895" "896" "897" "898" "899" "900"
## [901] "901" "902" "903" "904" "905" "906" "907" "908" "909" "910"
## [911] "911" "912" "913" "914" "915" "916" "917" "918" "919" "920"
## [921] "921" "922" "923" "924" "925" "926" "927" "928" "929" "930"
## [931] "931" "932" "933" "934" "935" "936" "937" "938" "939" "940"
## [941] "941" "942" "943" "944" "945" "946" "947" "948" "949" "950"
## [951] "951" "952" "953" "954" "955" "956" "957" "958" "959" "960"
## [961] "961" "962" "963" "964" "965" "966" "967" "968" "969" "970"
## [971] "971" "972" "973" "974" "975" "976" "977" "978" "979" "980"
## [981] "981" "982" "983" "984" "985" "986" "987" "988" "989" "990"
## [991] "991" "992" "993" "994" "995" "996" "997" "998" "999" "1000"
## [1001] "1001" "1002" "1003" "1004" "1005" "1006" "1007" "1008" "1009" "1010"
## [1011] "1011" "1012" "1013" "1014" "1015" "1016" "1017" "1018" "1019" "1020"
## [1021] "1021" "1022" "1023" "1024" "1025" "1026" "1027" "1028" "1029" "1030"
## [1031] "1031" "1032" "1033" "1034" "1035" "1036" "1037" "1038" "1039" "1040"
## [1041] "1041" "1042" "1043" "1044" "1045" "1046" "1047" "1048" "1049" "1050"
## [1051] "1051" "1052" "1053" "1054" "1055" "1056" "1057" "1058" "1059" "1060"
## [1061] "1061" "1062" "1063" "1064" "1065" "1066" "1067" "1068" "1069" "1070"
## [1071] "1071" "1072" "1073" "1074" "1075" "1076" "1077" "1078" "1079" "1080"
## [1081] "1081" "1082" "1083" "1084" "1085" "1086" "1087" "1088" "1089" "1090"
## [1091] "1091" "1092" "1093" "1094" "1095" "1096" "1097" "1098" "1099" "1100"
## [1101] "1101" "1102" "1103" "1104" "1105" "1106" "1107" "1108" "1109" "1110"
## [1111] "1111" "1112" "1113" "1114" "1115" "1116" "1117" "1118" "1119" "1120"
## [1121] "1121" "1122" "1123" "1124" "1125" "1126" "1127" "1128" "1129" "1130"
## [1131] "1131" "1132" "1133" "1134" "1135" "1136" "1137" "1138" "1139" "1140"
## [1141] "1141" "1142" "1143" "1144" "1145" "1146" "1147" "1148" "1149" "1150"
## [1151] "1151" "1152" "1153" "1154" "1155" "1156" "1157" "1158" "1159" "1160"
## [1161] "1161" "1162" "1163" "1164" "1165" "1166" "1167" "1168" "1169" "1170"
## [1171] "1171" "1172" "1173" "1174" "1175" "1176" "1177" "1178" "1179" "1180"
## [1181] "1181" "1182" "1183" "1184" "1185" "1186" "1187" "1188" "1189" "1190"
## [1191] "1191" "1192" "1193" "1194" "1195" "1196" "1197" "1198" "1199" "1200"
## [1201] "1201" "1202" "1203" "1204" "1205" "1206" "1207" "1208" "1209" "1210"
## [1211] "1211" "1212" "1213" "1214" "1215" "1216" "1217" "1218" "1219" "1220"
## [1221] "1221" "1222" "1223" "1224" "1225" "1226" "1227" "1228" "1229" "1230"
## [1231] "1231" "1232" "1233" "1234" "1235" "1236" "1237" "1238" "1239" "1240"
## [1241] "1241" "1242" "1243" "1244" "1245" "1246" "1247" "1248" "1249" "1250"
## [1251] "1251" "1252" "1253" "1254" "1255" "1256" "1257" "1258" "1259" "1260"
## [1261] "1261" "1262" "1263" "1264" "1265" "1266" "1267" "1268" "1269" "1270"
## [1271] "1271" "1272" "1273" "1274" "1275" "1276" "1277" "1278" "1279" "1280"
## [1281] "1281" "1282" "1283" "1284" "1285" "1286" "1287" "1288" "1289" "1290"
## [1291] "1291" "1292" "1293" "1294" "1295" "1296" "1297" "1298" "1299" "1300"
## [1301] "1301" "1302" "1303" "1304" "1305" "1306" "1307" "1308" "1309" "1310"
## [1311] "1311" "1312" "1313" "1314" "1315" "1316" "1317" "1318" "1319" "1320"
## [1321] "1321" "1322" "1323" "1324" "1325" "1326" "1327" "1328" "1329" "1330"
## [1331] "1331" "1332" "1333" "1334" "1335" "1336" "1337" "1338" "1339" "1340"
## [1341] "1341" "1342" "1343" "1344" "1345" "1346" "1347" "1348" "1349" "1350"
## [1351] "1351" "1352" "1353" "1354" "1355" "1356" "1357" "1358" "1359" "1360"
## [1361] "1361" "1362" "1363" "1364" "1365" "1366" "1367" "1368" "1369" "1370"
## [1371] "1371" "1372" "1373" "1374" "1375" "1376" "1377" "1378" "1379" "1380"
## [1381] "1381" "1382" "1383" "1384" "1385" "1386" "1387" "1388" "1389" "1390"
## [1391] "1391" "1392" "1393" "1394" "1395" "1396" "1397" "1398" "1399" "1400"
## [1401] "1401" "1402" "1403" "1404" "1405" "1406" "1407" "1408" "1409" "1410"
## [1411] "1411" "1412" "1413" "1414" "1415" "1416" "1417" "1418" "1419" "1420"
## [1421] "1421" "1422" "1423" "1424" "1425" "1426" "1427" "1428" "1429" "1430"
## [1431] "1431" "1432" "1433" "1434" "1435" "1436" "1437" "1438" "1439" "1440"
## [1441] "1441" "1442" "1443" "1444" "1445" "1446" "1447" "1448" "1449" "1450"
## [1451] "1451" "1452" "1453" "1454" "1455" "1456" "1457" "1458" "1459" "1460"
## [1461] "1461" "1462" "1463" "1464" "1465" "1466" "1467" "1468" "1469" "1470"
## [1471] "1471" "1472" "1473" "1474" "1475" "1476" "1477" "1478" "1479" "1480"
## [1481] "1481" "1482" "1483" "1484" "1485" "1486" "1487" "1488" "1489" "1490"
## [1491] "1491" "1492" "1493" "1494" "1495" "1496" "1497" "1498" "1499" "1500"
## [1501] "1501" "1502" "1503" "1504" "1505" "1506" "1507" "1508" "1509" "1510"
## [1511] "1511" "1512" "1513" "1514" "1515" "1516" "1517" "1518" "1519" "1520"
## [1521] "1521" "1522" "1523" "1524" "1525" "1526" "1527" "1528" "1529" "1530"
## [1531] "1531" "1532" "1533" "1534" "1535" "1536" "1537" "1538" "1539" "1540"
## [1541] "1541" "1542" "1543" "1544" "1545" "1546" "1547" "1548" "1549" "1550"
## [1551] "1551" "1552" "1553" "1554" "1555" "1556" "1557" "1558" "1559" "1560"
## [1561] "1561" "1562" "1563" "1564" "1565" "1566" "1567" "1568" "1569" "1570"
## [1571] "1571" "1572" "1573" "1574" "1575" "1576" "1577" "1578" "1579" "1580"
## [1581] "1581" "1582" "1583" "1584" "1585" "1586" "1587" "1588" "1589" "1590"
## [1591] "1591" "1592" "1593" "1594" "1595" "1596" "1597" "1598" "1599" "1600"
## [1601] "1601" "1602" "1603" "1604" "1605" "1606" "1607" "1608" "1609" "1610"
## [1611] "1611" "1612" "1613" "1614" "1615" "1616" "1617" "1618" "1619" "1620"
## [1621] "1621" "1622" "1623" "1624" "1625" "1626" "1627" "1628" "1629" "1630"
## [1631] "1631" "1632" "1633" "1634" "1635" "1636" "1637" "1638" "1639" "1640"
## [1641] "1641" "1642" "1643" "1644" "1645" "1646" "1647" "1648" "1649" "1650"
## [1651] "1651" "1652" "1653" "1654" "1655" "1656" "1657" "1658" "1659" "1660"
## [1661] "1661" "1662" "1663" "1664" "1665" "1666" "1667" "1668" "1669" "1670"
## [1671] "1671" "1672" "1673" "1674" "1675" "1676" "1677" "1678" "1679" "1680"
## [1681] "1681" "1682" "1683" "1684" "1685" "1686" "1687" "1688" "1689" "1690"
## [1691] "1691" "1692" "1693" "1694" "1695" "1696" "1697" "1698" "1699" "1700"
## [1701] "1701" "1702" "1703" "1704" "1705" "1706" "1707" "1708" "1709" "1710"
## [1711] "1711" "1712" "1713" "1714" "1715" "1716" "1717" "1718" "1719" "1720"
## [1721] "1721" "1722" "1723" "1724" "1725" "1726" "1727" "1728" "1729" "1730"
## [1731] "1731" "1732" "1733" "1734" "1735" "1736" "1737" "1738" "1739" "1740"
## [1741] "1741" "1742" "1743" "1744" "1745" "1746" "1747" "1748" "1749" "1750"
## [1751] "1751" "1752" "1753" "1754" "1755" "1756" "1757" "1758" "1759" "1760"
## [1761] "1761" "1762" "1763" "1764" "1765" "1766" "1767" "1768" "1769" "1770"
## [1771] "1771" "1772" "1773" "1774" "1775" "1776" "1777" "1778" "1779" "1780"
## [1781] "1781" "1782" "1783" "1784" "1785" "1786" "1787" "1788" "1789" "1790"
## [1791] "1791" "1792" "1793" "1794" "1795" "1796" "1797" "1798" "1799" "1800"
## [1801] "1801" "1802" "1803" "1804" "1805" "1806" "1807" "1808" "1809" "1810"
## [1811] "1811" "1812" "1813" "1814" "1815" "1816" "1817" "1818" "1819" "1820"
## [1821] "1821" "1822" "1823" "1824" "1825" "1826" "1827" "1828" "1829" "1830"
## [1831] "1831" "1832" "1833" "1834" "1835" "1836" "1837" "1838" "1839" "1840"
## [1841] "1841" "1842" "1843" "1844" "1845" "1846" "1847" "1848" "1849" "1850"
## [1851] "1851" "1852" "1853" "1854" "1855" "1856" "1857" "1858" "1859" "1860"
## [1861] "1861" "1862" "1863" "1864" "1865" "1866" "1867" "1868" "1869" "1870"
## [1871] "1871" "1872" "1873" "1874" "1875" "1876" "1877" "1878" "1879" "1880"
## [1881] "1881" "1882" "1883" "1884" "1885" "1886" "1887" "1888" "1889" "1890"
## [1891] "1891" "1892" "1893" "1894" "1895" "1896" "1897" "1898" "1899" "1900"
## [1901] "1901" "1902" "1903" "1904" "1905" "1906" "1907" "1908" "1909" "1910"
## [1911] "1911" "1912" "1913" "1914" "1915" "1916" "1917" "1918" "1919" "1920"
## [1921] "1921" "1922" "1923" "1924" "1925" "1926" "1927" "1928" "1929" "1930"
## [1931] "1931" "1932" "1933" "1934" "1935" "1936" "1937" "1938" "1939" "1940"
## [1941] "1941" "1942" "1943" "1944" "1945" "1946" "1947" "1948" "1949"colnames(df)## [1] "ï..Country.name" "year"
## [3] "Life.Ladder" "Log.GDP.per.capita"
## [5] "Social.support" "Healthy.life.expectancy.at.birth"
## [7] "Freedom.to.make.life.choices" "Generosity"
## [9] "Perceptions.of.corruption" "Positive.affect"
## [11] "Negative.affect"length(df)## [1] 11head(df$Positive.affect)## [1] 0.518 0.584 0.618 0.611 0.710 0.621df$Positive.affect[3]## [1] 0.618df$Positive.affect[1:5]## [1] 0.518 0.584 0.618 0.611 0.710attach(df)
max(df$Positive.affect)## [1] NAmax(df$Negative.affect)## [1] NAmin(df$Positive.affect)## [1] NAmin(df$Negative.affect)## [1] NAhead(sort(df$Positive.affect))## [1] 0.322 0.351 0.362 0.369 0.384 0.387head(sort(df$Negative.affect))## [1] 0.083 0.083 0.093 0.093 0.094 0.095head(order(df$Positive.affect))## [1] 982 12 1729 1669 1768 1668head(rank(df$Positive.affect))## [1] 76.5 261.0 447.0 417.5 904.0 460.5df[3,3]## [1] 4.758df[3,1:5]## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 3 Afghanistan 2010 4.758 7.647 0.539head(as.matrix(df))## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## [1,] "Afghanistan" "2008" "3.724" " 7.370" "0.451"
## [2,] "Afghanistan" "2009" "4.402" " 7.540" "0.552"
## [3,] "Afghanistan" "2010" "4.758" " 7.647" "0.539"
## [4,] "Afghanistan" "2011" "3.832" " 7.620" "0.521"
## [5,] "Afghanistan" "2012" "3.783" " 7.705" "0.521"
## [6,] "Afghanistan" "2013" "3.572" " 7.725" "0.484"
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## [1,] "50.800" "0.718" " 0.168"
## [2,] "51.200" "0.679" " 0.190"
## [3,] "51.600" "0.600" " 0.121"
## [4,] "51.920" "0.496" " 0.162"
## [5,] "52.240" "0.531" " 0.236"
## [6,] "52.560" "0.578" " 0.061"
## Perceptions.of.corruption Positive.affect Negative.affect
## [1,] "0.882" "0.518" "0.258"
## [2,] "0.850" "0.584" "0.237"
## [3,] "0.707" "0.618" "0.275"
## [4,] "0.731" "0.611" "0.267"
## [5,] "0.776" "0.710" "0.268"
## [6,] "0.823" "0.621" "0.273"head(rbind(df))## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 2 Afghanistan 2009 4.402 7.540 0.552
## 3 Afghanistan 2010 4.758 7.647 0.539
## 4 Afghanistan 2011 3.832 7.620 0.521
## 5 Afghanistan 2012 3.783 7.705 0.521
## 6 Afghanistan 2013 3.572 7.725 0.484
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 2 51.20 0.679 0.190
## 3 51.60 0.600 0.121
## 4 51.92 0.496 0.162
## 5 52.24 0.531 0.236
## 6 52.56 0.578 0.061
## Perceptions.of.corruption Positive.affect Negative.affect
## 1 0.882 0.518 0.258
## 2 0.850 0.584 0.237
## 3 0.707 0.618 0.275
## 4 0.731 0.611 0.267
## 5 0.776 0.710 0.268
## 6 0.823 0.621 0.273head(cbind(df))## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 2 Afghanistan 2009 4.402 7.540 0.552
## 3 Afghanistan 2010 4.758 7.647 0.539
## 4 Afghanistan 2011 3.832 7.620 0.521
## 5 Afghanistan 2012 3.783 7.705 0.521
## 6 Afghanistan 2013 3.572 7.725 0.484
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 2 51.20 0.679 0.190
## 3 51.60 0.600 0.121
## 4 51.92 0.496 0.162
## 5 52.24 0.531 0.236
## 6 52.56 0.578 0.061
## Perceptions.of.corruption Positive.affect Negative.affect
## 1 0.882 0.518 0.258
## 2 0.850 0.584 0.237
## 3 0.707 0.618 0.275
## 4 0.731 0.611 0.267
## 5 0.776 0.710 0.268
## 6 0.823 0.621 0.273head(cumsum(df$Log.GDP.per.capita))## [1] 7.370 14.910 22.557 30.177 37.882 45.607head(cummax(df$Log.GDP.per.capita))## [1] 7.370 7.540 7.647 7.647 7.705 7.725head(cummin(df$Log.GDP.per.capita))## [1] 7.37 7.37 7.37 7.37 7.37 7.37head(cumprod(df$Log.GDP.per.capita))## [1] 7.3700 55.5698 424.9423 3238.0600 24949.2525 192732.9756table(df$Life.Ladder)##
## 2.375 2.662 2.688 2.693 2.694 2.702 2.808 2.817 2.839 2.888 2.903 2.905 2.936
## 1 1 1 1 2 1 1 1 1 1 1 1 1
## 2.983 2.997 3.058 3.108 3.131 3.16 3.164 3.174 3.193 3.202 3.229 3.249 3.254
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 3.268 3.28 3.307 3.326 3.33 3.333 3.335 3.347 3.352 3.355 3.408 3.412 3.417
## 1 1 1 1 1 2 1 2 1 1 1 1 1
## 3.435 3.445 3.447 3.46 3.461 3.462 3.466 3.471 3.476 3.479 3.481 3.483 3.499
## 1 1 1 1 1 1 1 1 3 1 1 2 1
## 3.505 3.508 3.512 3.52 3.551 3.553 3.559 3.561 3.563 3.568 3.569 3.57 3.572
## 2 1 1 1 1 1 1 1 1 1 1 2 1
## 3.585 3.593 3.596 3.603 3.615 3.616 3.625 3.628 3.638 3.639 3.64 3.647 3.652
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 3.661 3.663 3.667 3.669 3.671 3.674 3.675 3.676 3.678 3.701 3.703 3.706 3.707
## 2 1 1 1 1 1 1 2 1 1 1 1 1
## 3.71 3.716 3.724 3.734 3.735 3.737 3.739 3.743 3.746 3.754 3.762 3.766 3.768
## 1 1 1 1 1 1 1 1 1 1 2 1 1
## 3.77 3.775 3.783 3.786 3.792 3.795 3.798 3.8 3.801 3.808 3.809 3.812 3.816
## 1 1 1 1 1 3 1 1 2 1 1 1 1
## 3.818 3.82 3.824 3.826 3.83 3.832 3.834 3.838 3.844 3.846 3.851 3.852 3.86
## 1 1 1 2 1 2 1 1 1 2 1 1 1
## 3.868 3.869 3.87 3.875 3.879 3.883 3.889 3.899 3.902 3.903 3.912 3.918 3.919
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 3.922 3.923 3.929 3.933 3.937 3.946 3.955 3.956 3.965 3.968 3.972 3.973 3.975
## 1 1 1 1 1 1 2 1 1 1 1 1 1
## 3.977 3.98 3.983 3.984 3.986 3.993 3.998 4.001 4.005 4.007 4.014 4.015 4.016
## 2 1 1 1 1 1 1 1 1 2 1 1 1
## 4.017 4.023 4.024 4.029 4.03 4.031 4.033 4.035 4.036 4.038 4.041 4.045 4.046
## 1 1 1 2 1 1 1 1 1 1 2 1 1
## 4.056 4.061 4.071 4.074 4.079 4.09 4.094 4.097 4.1 4.101 4.102 4.111 4.115
## 2 1 2 1 1 1 1 1 1 1 1 1 1
## 4.118 4.119 4.122 4.124 4.128 4.134 4.135 4.139 4.141 4.149 4.151 4.153 4.154
## 1 1 1 1 1 1 1 1 2 1 1 1 1
## 4.156 4.16 4.161 4.162 4.174 4.176 4.178 4.179 4.18 4.181 4.184 4.193 4.196
## 2 1 1 1 1 1 1 2 2 2 1 1 1
## 4.197 4.198 4.199 4.203 4.204 4.206 4.212 4.213 4.215 4.218 4.219 4.22 4.221
## 2 1 1 1 1 1 2 1 1 1 1 1 1
## 4.222 4.223 4.224 4.225 4.233 4.235 4.236 4.238 4.24 4.245 4.248 4.251 4.254
## 1 1 1 2 2 1 1 1 1 1 1 1 1
## 4.255 4.256 4.26 4.263 4.267 4.268 4.27 4.271 4.277 4.278 4.279 4.28 4.288
## 1 1 1 1 1 1 1 1 2 1 1 1 2
## 4.289 4.292 4.297 4.298 4.306 4.309 4.31 4.311 4.313 4.314 4.315 4.318 4.319
## 1 1 1 1 1 1 1 2 1 2 1 1 1
## 4.32 4.322 4.323 4.325 4.328 4.331 4.335 4.339 4.342 4.345 4.346 4.348 4.349
## 1 1 1 1 1 1 1 1 1 1 1 2 1
## 4.35 4.356 4.358 4.36 4.361 4.363 4.365 4.368 4.369 4.372 4.377 4.379 4.38
## 3 1 1 1 1 1 1 1 1 1 1 1 1
## 4.381 4.383 4.385 4.386 4.393 4.395 4.396 4.402 4.405 4.408 4.411 4.413 4.414
## 2 1 1 1 1 1 2 1 1 1 1 2 2
## 4.415 4.416 4.417 4.419 4.424 4.428 4.431 4.432 4.434 4.435 4.436 4.438 4.439
## 1 1 1 1 2 2 2 1 2 2 1 1 1
## 4.441 4.443 4.445 4.448 4.451 4.453 4.454 4.455 4.456 4.46 4.461 4.462 4.464
## 2 1 2 1 2 2 1 1 1 1 2 2 1
## 4.465 4.47 4.472 4.476 4.477 4.483 4.486 4.493 4.494 4.497 4.499 4.5 4.502
## 1 1 2 1 1 2 1 2 1 2 1 2 1
## 4.507 4.51 4.511 4.514 4.517 4.521 4.522 4.535 4.542 4.543 4.547 4.549 4.55
## 1 1 1 3 1 1 2 1 1 1 2 1 2
## 4.551 4.554 4.556 4.557 4.559 4.56 4.561 4.563 4.567 4.568 4.569 4.571 4.573
## 1 2 2 1 1 1 1 1 1 1 1 1 2
## 4.574 4.575 4.576 4.582 4.586 4.589 4.59 4.595 4.602 4.605 4.606 4.607 4.609
## 3 1 1 1 2 1 1 3 1 1 1 2 3
## 4.612 4.613 4.616 4.617 4.619 4.621 4.622 4.623 4.628 4.632 4.633 4.634 4.635
## 2 1 1 1 1 1 1 2 1 2 1 1 1
## 4.636 4.639 4.64 4.641 4.647 4.652 4.653 4.654 4.656 4.657 4.659 4.66 4.661
## 1 2 3 2 2 2 3 2 1 1 1 2 1
## 4.662 4.667 4.668 4.669 4.67 4.673 4.678 4.68 4.682 4.683 4.69 4.691 4.695
## 1 2 1 3 1 1 1 2 2 3 1 1 1
## 4.698 4.702 4.703 4.704 4.71 4.711 4.713 4.716 4.717 4.719 4.72 4.722 4.724
## 1 1 1 1 2 1 1 1 1 1 2 1 1
## 4.725 4.728 4.73 4.731 4.733 4.735 4.737 4.739 4.741 4.742 4.745 4.748 4.75
## 3 1 2 1 1 1 2 1 4 1 1 1 2
## 4.751 4.753 4.756 4.758 4.76 4.763 4.764 4.768 4.769 4.77 4.772 4.773 4.775
## 1 1 1 1 1 1 1 2 1 1 1 1 2
## 4.782 4.783 4.785 4.786 4.801 4.803 4.804 4.808 4.809 4.811 4.812 4.814 4.815
## 1 1 3 1 1 1 1 1 1 1 1 1 2
## 4.816 4.817 4.818 4.823 4.824 4.825 4.826 4.828 4.832 4.833 4.834 4.836 4.838
## 1 1 1 1 2 1 1 1 1 1 1 1 2
## 4.842 4.843 4.844 4.845 4.846 4.853 4.857 4.858 4.859 4.86 4.862 4.863 4.865
## 1 1 1 2 2 1 1 1 1 1 1 1 2
## 4.867 4.872 4.874 4.876 4.88 4.882 4.884 4.885 4.886 4.887 4.888 4.89 4.891
## 1 1 1 2 1 1 2 2 2 1 1 1 1
## 4.892 4.895 4.896 4.897 4.898 4.9 4.905 4.906 4.907 4.909 4.91 4.911 4.913
## 1 1 1 1 2 1 2 1 1 2 1 1 1
## 4.914 4.917 4.918 4.921 4.922 4.927 4.93 4.931 4.932 4.933 4.937 4.939 4.942
## 2 1 1 1 1 1 1 2 1 1 1 2 1
## 4.944 4.947 4.948 4.954 4.955 4.961 4.963 4.964 4.965 4.967 4.97 4.971 4.975
## 1 2 1 1 1 1 1 1 2 3 1 1 1
## 4.976 4.977 4.979 4.98 4.983 4.986 4.988 4.989 4.991 4.994 4.995 4.996 4.998
## 2 1 1 1 2 1 1 1 1 2 2 2 1
## 4.999 5 5.002 5.004 5.006 5.009 5.013 5.015 5.016 5.023 5.024 5.025 5.027
## 1 1 1 3 3 1 1 1 1 2 1 1 2
## 5.03 5.031 5.032 5.035 5.037 5.038 5.043 5.044 5.049 5.052 5.054 5.056 5.057
## 1 1 1 1 1 2 2 1 1 1 1 1 4
## 5.058 5.062 5.064 5.065 5.066 5.069 5.07 5.071 5.074 5.076 5.077 5.08 5.081
## 1 3 1 1 2 1 1 1 3 2 1 1 3
## 5.082 5.083 5.084 5.085 5.088 5.09 5.095 5.096 5.097 5.098 5.099 5.1 5.101
## 2 2 1 2 1 1 3 1 2 1 2 1 1
## 5.102 5.104 5.108 5.113 5.114 5.117 5.118 5.119 5.121 5.122 5.123 5.124 5.125
## 2 3 1 1 1 1 1 1 1 2 1 2 2
## 5.127 5.129 5.131 5.132 5.134 5.136 5.137 5.138 5.14 5.142 5.144 5.145 5.146
## 1 2 2 3 1 1 1 2 1 1 1 1 1
## 5.147 5.148 5.152 5.154 5.155 5.158 5.163 5.164 5.166 5.167 5.168 5.172 5.173
## 1 2 1 1 1 2 1 2 1 2 3 3 2
## 5.175 5.177 5.178 5.181 5.186 5.188 5.191 5.194 5.196 5.197 5.198 5.204 5.205
## 1 1 1 2 2 1 1 1 2 1 1 2 1
## 5.206 5.208 5.213 5.214 5.218 5.219 5.22 5.223 5.225 5.229 5.232 5.233 5.234
## 1 2 2 1 1 1 3 2 2 1 1 1 2
## 5.239 5.24 5.241 5.244 5.246 5.249 5.251 5.252 5.257 5.26 5.261 5.265 5.267
## 1 1 2 1 1 2 1 5 1 1 1 1 1
## 5.268 5.269 5.27 5.271 5.272 5.28 5.283 5.284 5.292 5.294 5.295 5.296 5.297
## 1 1 1 2 2 1 1 1 1 1 1 3 2
## 5.298 5.303 5.304 5.308 5.309 5.311 5.312 5.313 5.317 5.318 5.319 5.322 5.323
## 1 1 4 1 1 2 1 1 1 1 1 1 1
## 5.325 5.326 5.33 5.332 5.333 5.334 5.336 5.339 5.34 5.341 5.343 5.344 5.346
## 1 2 1 2 1 1 1 1 1 1 1 1 2
## 5.347 5.348 5.353 5.354 5.362 5.364 5.365 5.367 5.368 5.371 5.372 5.373 5.374
## 1 1 1 2 1 2 1 1 2 1 1 1 2
## 5.381 5.383 5.385 5.386 5.387 5.389 5.39 5.392 5.394 5.397 5.402 5.405 5.409
## 1 1 3 3 1 1 1 2 1 3 1 2 1
## 5.417 5.418 5.42 5.422 5.428 5.431 5.432 5.433 5.434 5.436 5.439 5.441 5.447
## 1 1 1 1 1 1 2 2 1 1 2 1 1
## 5.448 5.449 5.451 5.452 5.455 5.457 5.458 5.462 5.463 5.464 5.465 5.467 5.472
## 1 2 1 1 1 1 1 1 2 3 1 3 2
## 5.474 5.476 5.477 5.48 5.481 5.484 5.485 5.487 5.488 5.489 5.49 5.491 5.493
## 2 2 1 1 2 1 1 1 1 1 2 1 1
## 5.494 5.495 5.497 5.498 5.503 5.51 5.511 5.514 5.516 5.519 5.522 5.526 5.528
## 1 1 1 1 2 1 1 3 1 1 1 1 1
## 5.534 5.535 5.536 5.537 5.539 5.541 5.547 5.548 5.549 5.553 5.554 5.556 5.559
## 1 1 1 1 1 1 1 1 1 1 2 1 1
## 5.56 5.563 5.564 5.567 5.569 5.57 5.576 5.577 5.578 5.579 5.58 5.587 5.589
## 1 1 1 1 2 2 1 1 1 1 2 1 1
## 5.59 5.594 5.596 5.597 5.598 5.605 5.607 5.608 5.61 5.613 5.615 5.617 5.619
## 1 1 2 1 2 2 1 2 1 1 2 1 1
## 5.621 5.623 5.626 5.627 5.628 5.629 5.63 5.636 5.64 5.643 5.646 5.647 5.648
## 1 2 1 1 1 1 1 1 1 1 1 1 3
## 5.65 5.651 5.653 5.658 5.659 5.664 5.671 5.674 5.677 5.678 5.68 5.682 5.685
## 2 1 1 1 1 1 1 1 1 1 1 1 1
## 5.687 5.694 5.698 5.701 5.709 5.711 5.713 5.717 5.719 5.722 5.727 5.729 5.736
## 1 1 1 3 2 3 1 1 2 1 1 1 1
## 5.739 5.741 5.743 5.746 5.749 5.75 5.753 5.754 5.756 5.759 5.767 5.768 5.77
## 1 1 1 1 1 1 1 1 1 2 3 1 2
## 5.771 5.772 5.774 5.777 5.779 5.78 5.781 5.783 5.784 5.786 5.787 5.788 5.789
## 2 2 1 1 1 1 1 1 1 4 1 1 1
## 5.791 5.792 5.793 5.794 5.795 5.801 5.803 5.807 5.808 5.809 5.811 5.812 5.819
## 1 2 2 1 2 2 1 1 1 1 1 2 1
## 5.82 5.821 5.825 5.827 5.829 5.83 5.831 5.832 5.834 5.835 5.838 5.839 5.84
## 2 2 1 1 1 1 1 1 1 1 1 1 3
## 5.841 5.843 5.845 5.848 5.855 5.856 5.857 5.865 5.866 5.867 5.869 5.874 5.876
## 1 1 1 1 1 1 1 1 3 1 1 1 2
## 5.88 5.881 5.882 5.885 5.886 5.887 5.89 5.891 5.892 5.893 5.901 5.903 5.908
## 1 1 2 3 2 3 1 1 1 1 3 1 2
## 5.911 5.914 5.916 5.917 5.92 5.923 5.924 5.93 5.934 5.936 5.937 5.938 5.939
## 3 1 1 1 1 1 1 1 1 3 3 1 1
## 5.94 5.942 5.945 5.946 5.947 5.95 5.952 5.954 5.955 5.956 5.959 5.961 5.963
## 2 1 1 1 1 1 1 1 2 1 2 2 2
## 5.964 5.968 5.969 5.97 5.971 5.972 5.975 5.978 5.984 5.985 5.993 5.996 5.999
## 2 1 1 2 1 1 1 1 1 1 2 2 1
## 6 6.003 6.004 6.006 6.007 6.008 6.009 6.011 6.012 6.013 6.015 6.016 6.017
## 2 1 1 1 2 1 1 1 2 1 1 1 1
## 6.018 6.019 6.02 6.022 6.025 6.027 6.028 6.033 6.035 6.036 6.037 6.038 6.039
## 1 3 1 2 1 1 1 2 1 1 1 1 2
## 6.042 6.049 6.052 6.057 6.062 6.063 6.064 6.065 6.073 6.074 6.076 6.083 6.086
## 1 1 1 2 2 2 1 1 1 1 1 1 3
## 6.09 6.091 6.094 6.095 6.106 6.11 6.111 6.113 6.115 6.116 6.118 6.126 6.128
## 1 1 1 1 1 1 1 1 1 1 2 3 2
## 6.13 6.136 6.137 6.138 6.139 6.14 6.145 6.146 6.148 6.149 6.15 6.151 6.154
## 1 1 1 1 2 1 1 1 1 1 1 2 1
## 6.155 6.157 6.162 6.165 6.167 6.168 6.17 6.171 6.173 6.174 6.18 6.181 6.188
## 1 2 2 1 1 3 1 1 1 1 1 1 1
## 6.189 6.191 6.192 6.199 6.201 6.202 6.205 6.208 6.217 6.221 6.227 6.229 6.23
## 1 1 1 2 1 1 1 1 1 1 1 2 1
## 6.231 6.234 6.235 6.236 6.238 6.239 6.241 6.242 6.243 6.249 6.25 6.258 6.26
## 1 1 1 1 2 1 3 1 1 1 2 1 1
## 6.262 6.263 6.268 6.269 6.272 6.273 6.275 6.276 6.278 6.281 6.283 6.29 6.291
## 1 1 1 1 2 1 1 1 1 1 1 1 1
## 6.294 6.295 6.296 6.3 6.307 6.309 6.31 6.313 6.319 6.32 6.321 6.322 6.325
## 2 1 1 1 1 3 1 1 1 1 1 1 2
## 6.328 6.33 6.331 6.333 6.334 6.336 6.339 6.34 6.345 6.35 6.354 6.355 6.356
## 1 1 1 1 2 1 1 1 1 1 1 1 1
## 6.358 6.359 6.363 6.366 6.372 6.375 6.378 6.38 6.381 6.387 6.388 6.391 6.392
## 1 2 1 1 1 4 3 1 1 1 1 1 1
## 6.396 6.408 6.41 6.414 6.417 6.418 6.421 6.424 6.425 6.427 6.432 6.436 6.439
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 6.441 6.444 6.445 6.449 6.45 6.451 6.452 6.453 6.455 6.456 6.457 6.458 6.462
## 1 1 1 1 2 2 2 1 1 1 1 1 1
## 6.463 6.464 6.465 6.467 6.468 6.474 6.475 6.476 6.48 6.484 6.488 6.494 6.495
## 1 1 1 2 1 1 1 1 1 1 1 1 1
## 6.5 6.502 6.508 6.513 6.515 6.516 6.517 6.518 6.519 6.522 6.525 6.526 6.531
## 1 1 1 2 1 1 1 1 2 1 2 1 1
## 6.533 6.536 6.537 6.54 6.547 6.55 6.553 6.554 6.56 6.561 6.568 6.574 6.579
## 2 1 1 1 1 1 1 1 1 3 3 1 1
## 6.58 6.581 6.582 6.583 6.585 6.591 6.592 6.599 6.6 6.604 6.606 6.607 6.608
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 6.611 6.613 6.62 6.621 6.627 6.628 6.631 6.635 6.636 6.637 6.641 6.642 6.647
## 1 1 2 2 1 1 1 1 1 1 1 1 1
## 6.649 6.66 6.664 6.665 6.666 6.667 6.671 6.676 6.68 6.69 6.691 6.696 6.697
## 1 1 1 1 1 1 1 1 1 3 1 1 1
## 6.698 6.7 6.702 6.711 6.714 6.725 6.733 6.734 6.736 6.74 6.751 6.758 6.76
## 1 1 2 1 1 1 1 1 1 2 1 1 1
## 6.772 6.776 6.78 6.79 6.798 6.802 6.804 6.811 6.824 6.829 6.83 6.831 6.833
## 1 1 1 1 3 2 1 1 2 1 1 1 1
## 6.834 6.837 6.839 6.841 6.844 6.85 6.851 6.853 6.854 6.855 6.86 6.864 6.866
## 1 1 2 1 1 1 1 1 3 1 1 1 2
## 6.869 6.874 6.881 6.883 6.888 6.891 6.892 6.894 6.897 6.904 6.907 6.91 6.918
## 1 1 1 1 1 1 1 1 1 1 1 2 1
## 6.927 6.928 6.931 6.935 6.944 6.947 6.949 6.95 6.958 6.959 6.962 6.963 6.964
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 6.965 6.967 6.981 6.984 6.985 6.986 6.992 6.995 6.998 7.001 7.007 7.008 7.018
## 2 1 1 2 1 1 1 1 1 1 1 1 1
## 7.025 7.026 7.028 7.029 7.034 7.035 7.037 7.038 7.039 7.041 7.046 7.048 7.06
## 1 1 1 1 2 2 1 1 1 1 1 1 1
## 7.061 7.062 7.067 7.074 7.076 7.079 7.08 7.082 7.093 7.097 7.098 7.101 7.103
## 1 1 1 1 1 1 1 1 1 2 1 1 1
## 7.104 7.109 7.111 7.115 7.117 7.118 7.119 7.122 7.131 7.136 7.137 7.14 7.141
## 1 1 2 1 1 1 1 1 1 1 1 1 1
## 7.144 7.151 7.153 7.157 7.158 7.159 7.164 7.17 7.173 7.175 7.177 7.181 7.182
## 1 1 1 1 2 1 1 1 1 1 1 1 1
## 7.189 7.191 7.195 7.196 7.205 7.213 7.218 7.219 7.224 7.225 7.226 7.229 7.233
## 1 1 2 1 1 1 1 1 1 1 1 1 1
## 7.234 7.239 7.241 7.243 7.245 7.247 7.248 7.249 7.25 7.254 7.255 7.257 7.261
## 1 1 1 1 1 1 1 1 2 1 1 3 1
## 7.262 7.266 7.267 7.271 7.272 7.28 7.285 7.287 7.289 7.29 7.294 7.303 7.304
## 1 1 1 1 1 2 1 1 2 1 2 1 1
## 7.305 7.306 7.309 7.312 7.314 7.32 7.321 7.324 7.327 7.331 7.332 7.341 7.353
## 1 1 1 1 1 1 3 1 1 1 1 1 1
## 7.354 7.359 7.364 7.369 7.37 7.375 7.376 7.381 7.382 7.385 7.393 7.396 7.398
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 7.401 7.404 7.406 7.407 7.413 7.415 7.416 7.418 7.42 7.425 7.426 7.432 7.433
## 2 1 1 1 1 2 1 2 1 1 1 1 1
## 7.434 7.442 7.443 7.444 7.445 7.448 7.45 7.452 7.459 7.463 7.464 7.471 7.473
## 1 1 1 2 1 1 1 1 2 1 1 2 1
## 7.474 7.476 7.478 7.482 7.486 7.488 7.493 7.496 7.498 7.499 7.501 7.502 7.504
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 7.508 7.509 7.51 7.513 7.514 7.515 7.516 7.52 7.525 7.533 7.541 7.558 7.56
## 2 1 1 1 1 1 1 1 1 1 1 1 1
## 7.564 7.568 7.572 7.575 7.579 7.589 7.591 7.594 7.596 7.603 7.604 7.615 7.631
## 1 1 1 1 1 1 1 2 1 1 1 1 1
## 7.632 7.649 7.65 7.66 7.671 7.672 7.678 7.683 7.693 7.694 7.771 7.776 7.78
## 1 1 1 1 1 1 1 1 1 1 1 1 1
## 7.788 7.834 7.858 7.889 7.971 8.019
## 2 1 1 1 1 1head(as.table(df$Life.Ladder))## A B C D E F
## 3.724 4.402 4.758 3.832 3.783 3.572is.data.frame(df)## [1] TRUEis.table(df)## [1] FALSEView(df)
nrow(df)## [1] 1949ncol(df)## [1] 11sum(is.na(df))## [1] 373df[is.na(df)]## [1] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [26] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [51] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [76] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [101] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [126] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [151] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [176] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [201] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [226] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [251] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [276] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [301] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [326] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
## [351] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NAclass(dimnames(df))## [1] "list"seq_along(df)## [1] 1 2 3 4 5 6 7 8 9 10 11if(class(df) == 'data.frame') TRUE else FALSE## [1] TRUEstem(df$Life.Ladder)##
## The decimal point is at the |
##
## 2 | 4
## 2 | 7777778889999
## 3 | 0011122222223333333333344444444
## 3 | 55555555555555555566666666666666666666667777777777777777777777777888+41
## 4 | 00000000000000000000000000000000000000111111111111111111111111112222+134
## 4 | 55555555555555555555555555555555555555555555555666666666666666666666+216
## 5 | 00000000000000000000000000000000000000000000000000000000000001111111+252
## 5 | 55555555555555555555555555555555555555555555555555555555555666666666+200
## 6 | 00000000000000000000000000000000000000000000000000000000000000000111+163
## 6 | 55555555555555555555555555555555555555555555555566666666666666666666+93
## 7 | 00000000000000000000000000000000000111111111111111111111111111111222+95
## 7 | 55555555555555555555555555555555556666666666666666667777777788888899
## 8 | 00stem(df$Log.GDP.per.capita)##
## The decimal point is at the |
##
## 6 | 67777778888888899999999999999999
## 7 | 00000000000111111111112222222223333333333333333333344444444444444444+8
## 7 | 55555555555555555555555555566666666666666666666666666666666666666666+78
## 8 | 00000000000000000000000000000000000000001111111111111111111111111111+111
## 8 | 55555555555555555555555555555555555555555555555555555555555556666666+94
## 9 | 00000000000000000000000000000000000000000000011111111111111111111111+222
## 9 | 55555555555555555555555555555555555555555555555555555555555555555666+214
## 10 | 00000000000000000000000000000000000000001111111111111111111111111111+165
## 10 | 55555555555555555555555555555555555555555555555555555666666666666666+263
## 11 | 0000000000000000000000000000011111111111111111111122222233333444444
## 11 | 5555555666666666666stem(df$Positive.affect)##
## The decimal point is 1 digit(s) to the left of the |
##
## 3 | 2
## 3 | 56789
## 4 | 222233444
## 4 | 55566666677778888899999999
## 5 | 00000000000011111111111111112222222222222222222233333333333333333334+15
## 5 | 55555555555555555555566666666666666666666666777777777777777777777777+112
## 6 | 00000000000000000000000000000000000000000000000000001111111111111111+172
## 6 | 55555555555555555555555555555555555555555555555556666666666666666666+163
## 7 | 00000000000000000000000000000000000000000000000000000000000111111111+193
## 7 | 55555555555555555555555555555555555555555555555555555555555666666666+242
## 8 | 00000000000000000000000000000000000000000000000000000000111111111111+246
## 8 | 55555555555555555555555555555555555555555555555555555666666666666666+87
## 9 | 0000000001122334stem(df$Life.Ladder,scale = 2)##
## The decimal point is 1 digit(s) to the left of the |
##
## 22 | 8
## 24 |
## 26 | 699990
## 28 | 12490148
## 30 | 06136679
## 32 | 0355781333345556
## 34 | 112455666778888888011112556667777799
## 36 | 002233444556667777888800111223444455667778899
## 38 | 0000000111222233333344555567778889000122223345666777788888899
## 40 | 00111112222333334444455666777899000012222233444455556666678888888889
## 42 | 00000001111222222222233444455556666777788888999900111111112222223334+17
## 44 | 00011111112222223333333334444445555555566666666777788889999000000111+29
## 46 | 00001111111111222222233333444444444555555555666666677777777888888889+47
## 48 | 00011111222222223333334444445555566666677777888888999999999900000111+40
## 50 | 00000000000111111222233333344444445556666666666777777777888888888888+72
## 52 | 00000011111112222222333333344444555555555666777777777888990000000000+48
## 54 | 00001112222333333344445555556666666667777777788888889999999990000011+28
## 56 | 00000111111122222223333344455555555566677888899900001111112222334444+26
## 58 | 00000111111222223333333444444445566677777778888889999999999990000111+38
## 60 | 00000001111111112222222222333334444444556666666777889999990111122223+27
## 62 | 00001122333333444444444455566667777788888999900011111122223333333344+13
## 64 | 01112222333444455555555566666667777788889900011122222223333334445555+4
## 66 | 0001111122223334444455667777889999000000113334445667889
## 68 | 000000122333334444455555566677778899990011123334455566666777888999
## 70 | 00011233333344444455666778888900000011122222344444556666677888899
## 72 | 00011222333334445555555666666777788999999900111112222233345566778888
## 74 | 00000111222222333334444555566667777888999000000111111222334666778899
## 76 | 00023355677889978899
## 78 | 3697
## 80 | 2stem(df$Log.GDP.per.capita,scale = 2)##
## The decimal point is 1 digit(s) to the left of the |
##
## 66 | 4822345899
## 68 | 02234788990012334444556777899
## 70 | 0335568991134456669
## 72 | 0224556677891122234444455666666777777778888899
## 74 | 00111222233344555666788888888990122333445555667778889999
## 76 | 00000011111222233344444444555566777778899990000000111112222223333556
## 78 | 001222334455566777788889990001112222223333355555666777888889999999
## 80 | 00112223333334444555667777778888899900011111222223334444555555566667
## 82 | 00001112222233344445567777888888889001112333333334444455666667777899
## 84 | 00000011333444445555555566666677777788888888999990000001122222333333+18
## 86 | 00001112233344555567779900011123335666777888
## 88 | 00122223335555777778889999900000001111122333344444555566777788889999
## 90 | 00000111111222233344444555566666666777777889990011111122223344444555+15
## 92 | 00000112222223333334444444444445555555566666666667777777888888899900+70
## 94 | 00000111122223333333334444444444455555555666666666666666777788888999+58
## 96 | 00000111111111122222333334444444455555566677778888899999900000111122+25
## 98 | 00000000111111122222233333333444444455555666667778888888999999900000+24
## 100 | 00001112222333334444555555566777777777778888999999900000000011112222+26
## 102 | 00011112222222224444555556666666667778899990000011111112222333344444+15
## 104 | 00011111122223333333334445556666677888899999999900111222222333333333+28
## 106 | 00000111111222222233344444444555555666666667777777777888999999000000+72
## 108 | 00000000011111112222222223344444444555555555666666666777788888888888+43
## 110 | 00000222333344444555666788900111122345778
## 112 | 013771236778
## 114 | 02669992256789
## 116 | 0023455with(df,stem(df$Log.GDP.per.capita[df$ï..Country.name == 'India']))##
## The decimal point is 1 digit(s) to the left of the |
##
## 80 | 5
## 82 | 02859
## 84 | 384
## 86 | 07038
## 88 | 2seq(from = 1, to = 4, by =1)## [1] 1 2 3 4with(df,stem(df$Life.Ladder[df$ï..Country.name == 'India']))##
## The decimal point is at the |
##
## 3 | 2
## 3 | 8
## 4 | 022344
## 4 | 567
## 5 | 0013with(df,stem(df$Positive.affect[df$ï..Country.name == 'India']))##
## The decimal point is 1 digit(s) to the left of the |
##
## 6 | 3
## 6 | 55677889
## 7 | 0001
## 7 | 57with(df,stem(df$Social.support[df$ï..Country.name == 'India']))##
## The decimal point is 1 digit(s) to the left of the |
##
## 5 | 1
## 5 | 5567
## 6 | 1111224
## 6 | 58
## 7 | 1plot(df)
df$df## NULLmean(df[,2])## [1] 2013.216mean(df[2,])## Warning in mean.default(df[2, ]): argument is not numeric or logical: returning
## NA## [1] NAmean(df[1,])## Warning in mean.default(df[1, ]): argument is not numeric or logical: returning
## NA## [1] NAdimnames(head(df))[[1]]## [1] "1" "2" "3" "4" "5" "6"dimnames(head(df))[[2]]## [1] "ï..Country.name" "year"
## [3] "Life.Ladder" "Log.GDP.per.capita"
## [5] "Social.support" "Healthy.life.expectancy.at.birth"
## [7] "Freedom.to.make.life.choices" "Generosity"
## [9] "Perceptions.of.corruption" "Positive.affect"
## [11] "Negative.affect"ls()## [1] "df"ls(pattern = 'da')## character(0)ls(pattern = 'p')## character(0)plot(df$Log.GDP.per.capita)
df1=df
df1[is.na(df1)]=0
df1## ï..Country.name year Life.Ladder Log.GDP.per.capita
## 1 Afghanistan 2008 3.724 7.370
## 2 Afghanistan 2009 4.402 7.540
## 3 Afghanistan 2010 4.758 7.647
## 4 Afghanistan 2011 3.832 7.620
## 5 Afghanistan 2012 3.783 7.705
## 6 Afghanistan 2013 3.572 7.725
## 7 Afghanistan 2014 3.131 7.718
## 8 Afghanistan 2015 3.983 7.702
## 9 Afghanistan 2016 4.220 7.697
## 10 Afghanistan 2017 2.662 7.697
## 11 Afghanistan 2018 2.694 7.692
## 12 Afghanistan 2019 2.375 7.697
## 13 Albania 2007 4.634 9.142
## 14 Albania 2009 5.485 9.262
## 15 Albania 2010 5.269 9.303
## 16 Albania 2011 5.867 9.331
## 17 Albania 2012 5.510 9.347
## 18 Albania 2013 4.551 9.359
## 19 Albania 2014 4.814 9.378
## 20 Albania 2015 4.607 9.403
## 21 Albania 2016 4.511 9.437
## 22 Albania 2017 4.640 9.476
## 23 Albania 2018 5.004 9.518
## 24 Albania 2019 4.995 9.544
## 25 Albania 2020 5.365 9.497
## 26 Algeria 2010 5.464 9.287
## 27 Algeria 2011 5.317 9.297
## 28 Algeria 2012 5.605 9.311
## 29 Algeria 2014 6.355 9.335
## 30 Algeria 2016 5.341 9.362
## 31 Algeria 2017 5.249 9.354
## 32 Algeria 2018 5.043 9.348
## 33 Algeria 2019 4.745 9.337
## 34 Angola 2011 5.589 8.946
## 35 Angola 2012 4.360 8.992
## 36 Angola 2013 3.937 9.005
## 37 Angola 2014 3.795 9.017
## 38 Argentina 2006 6.313 9.942
## 39 Argentina 2007 6.073 10.018
## 40 Argentina 2008 5.961 10.048
## 41 Argentina 2009 6.424 9.977
## 42 Argentina 2010 6.441 10.066
## 43 Argentina 2011 6.776 10.112
## 44 Argentina 2012 6.468 10.091
## 45 Argentina 2013 6.582 10.103
## 46 Argentina 2014 6.671 10.067
## 47 Argentina 2015 6.697 10.083
## 48 Argentina 2016 6.427 10.051
## 49 Argentina 2017 6.039 10.067
## 50 Argentina 2018 5.793 10.032
## 51 Argentina 2019 6.086 10.000
## 52 Argentina 2020 5.901 9.850
## 53 Armenia 2006 4.289 9.044
## 54 Armenia 2007 4.882 9.181
## 55 Armenia 2008 4.652 9.256
## 56 Armenia 2009 4.178 9.111
## 57 Armenia 2010 4.368 9.136
## 58 Armenia 2011 4.260 9.182
## 59 Armenia 2012 4.320 9.249
## 60 Armenia 2013 4.277 9.277
## 61 Armenia 2014 4.453 9.307
## 62 Armenia 2015 4.348 9.334
## 63 Armenia 2016 4.325 9.333
## 64 Armenia 2017 4.288 9.402
## 65 Armenia 2018 5.062 9.451
## 66 Armenia 2019 5.488 9.522
## 67 Australia 2005 7.341 10.659
## 68 Australia 2007 7.285 10.703
## 69 Australia 2008 7.254 10.719
## 70 Australia 2010 7.450 10.722
## 71 Australia 2011 7.406 10.733
## 72 Australia 2012 7.196 10.754
## 73 Australia 2013 7.364 10.762
## 74 Australia 2014 7.289 10.772
## 75 Australia 2015 7.309 10.779
## 76 Australia 2016 7.250 10.791
## 77 Australia 2017 7.257 10.798
## 78 Australia 2018 7.177 10.811
## 79 Australia 2019 7.234 10.815
## 80 Australia 2020 7.137 10.760
## 81 Austria 2006 7.122 10.842
## 82 Austria 2008 7.181 10.887
## 83 Austria 2010 7.303 10.861
## 84 Austria 2011 7.471 10.887
## 85 Austria 2012 7.401 10.889
## 86 Austria 2013 7.499 10.883
## 87 Austria 2014 6.950 10.882
## 88 Austria 2015 7.076 10.881
## 89 Austria 2016 7.048 10.891
## 90 Austria 2017 7.294 10.908
## 91 Austria 2018 7.396 10.928
## 92 Austria 2019 7.195 10.939
## 93 Austria 2020 7.213 10.851
## 94 Azerbaijan 2006 4.728 9.170
## 95 Azerbaijan 2007 4.568 9.386
## 96 Azerbaijan 2008 4.817 9.465
## 97 Azerbaijan 2009 4.574 9.534
## 98 Azerbaijan 2010 4.219 9.569
## 99 Azerbaijan 2011 4.680 9.540
## 100 Azerbaijan 2012 4.911 9.549
## 101 Azerbaijan 2013 5.481 9.592
## 102 Azerbaijan 2014 5.252 9.607
## 103 Azerbaijan 2015 5.147 9.606
## 104 Azerbaijan 2016 5.304 9.564
## 105 Azerbaijan 2017 5.152 9.555
## 106 Azerbaijan 2018 5.168 9.562
## 107 Azerbaijan 2019 5.173 9.575
## 108 Bahrain 2009 5.701 10.709
## 109 Bahrain 2010 5.937 10.706
## 110 Bahrain 2011 4.824 10.696
## 111 Bahrain 2012 5.027 10.716
## 112 Bahrain 2013 6.690 10.757
## 113 Bahrain 2014 6.165 10.783
## 114 Bahrain 2015 6.007 10.785
## 115 Bahrain 2016 6.170 10.781
## 116 Bahrain 2017 6.227 10.771
## 117 Bahrain 2019 7.098 10.715
## 118 Bahrain 2020 6.173 10.620
## 119 Bangladesh 2006 4.319 7.783
## 120 Bangladesh 2007 4.607 7.839
## 121 Bangladesh 2008 5.052 7.886
## 122 Bangladesh 2009 5.083 7.924
## 123 Bangladesh 2010 4.858 7.967
## 124 Bangladesh 2011 4.986 8.018
## 125 Bangladesh 2012 4.724 8.070
## 126 Bangladesh 2013 4.660 8.116
## 127 Bangladesh 2014 4.636 8.164
## 128 Bangladesh 2015 4.633 8.216
## 129 Bangladesh 2016 4.556 8.274
## 130 Bangladesh 2017 4.310 8.334
## 131 Bangladesh 2018 4.499 8.399
## 132 Bangladesh 2019 5.114 8.467
## 133 Bangladesh 2020 5.280 8.472
## 134 Belarus 2006 5.658 9.489
## 135 Belarus 2007 5.617 9.576
## 136 Belarus 2008 5.463 9.677
## 137 Belarus 2009 5.564 9.681
## 138 Belarus 2010 5.526 9.758
## 139 Belarus 2011 5.225 9.812
## 140 Belarus 2012 5.749 9.830
## 141 Belarus 2013 5.876 9.839
## 142 Belarus 2014 5.812 9.856
## 143 Belarus 2015 5.719 9.815
## 144 Belarus 2016 5.178 9.788
## 145 Belarus 2017 5.553 9.814
## 146 Belarus 2018 5.234 9.846
## 147 Belarus 2019 5.821 9.860
## 148 Belgium 2005 7.262 10.745
## 149 Belgium 2007 7.219 10.792
## 150 Belgium 2008 7.117 10.789
## 151 Belgium 2010 6.854 10.779
## 152 Belgium 2011 7.111 10.783
## 153 Belgium 2012 6.935 10.784
## 154 Belgium 2013 7.104 10.784
## 155 Belgium 2014 6.855 10.795
## 156 Belgium 2015 6.904 10.810
## 157 Belgium 2016 6.949 10.819
## 158 Belgium 2017 6.928 10.834
## 159 Belgium 2018 6.892 10.844
## 160 Belgium 2019 6.772 10.853
## 161 Belgium 2020 6.839 10.771
## 162 Belize 2007 6.451 8.892
## 163 Belize 2014 5.956 8.883
## 164 Benin 2006 3.330 7.866
## 165 Benin 2008 3.667 7.915
## 166 Benin 2011 3.870 7.904
## 167 Benin 2012 3.193 7.923
## 168 Benin 2013 3.479 7.964
## 169 Benin 2014 3.347 7.998
## 170 Benin 2015 3.625 7.988
## 171 Benin 2016 4.007 7.993
## 172 Benin 2017 4.853 8.021
## 173 Benin 2018 5.820 8.059
## 174 Benin 2019 4.976 8.098
## 175 Benin 2020 4.408 8.102
## 176 Bhutan 2013 5.569 9.123
## 177 Bhutan 2014 4.939 9.167
## 178 Bhutan 2015 5.082 9.219
## 179 Bolivia 2006 5.374 8.686
## 180 Bolivia 2007 5.628 8.714
## 181 Bolivia 2008 5.298 8.756
## 182 Bolivia 2009 6.086 8.773
## 183 Bolivia 2010 5.781 8.797
## 184 Bolivia 2011 5.779 8.831
## 185 Bolivia 2012 6.019 8.865
## 186 Bolivia 2013 5.767 8.915
## 187 Bolivia 2014 5.865 8.953
## 188 Bolivia 2015 5.834 8.985
## 189 Bolivia 2016 5.770 9.012
## 190 Bolivia 2017 5.651 9.039
## 191 Bolivia 2018 5.916 9.066
## 192 Bolivia 2019 5.674 9.074
## 193 Bolivia 2020 5.559 8.998
## 194 Bosnia and Herzegovina 2007 4.900 9.267
## 195 Bosnia and Herzegovina 2009 4.963 9.296
## 196 Bosnia and Herzegovina 2010 4.669 9.312
## 197 Bosnia and Herzegovina 2011 4.995 9.333
## 198 Bosnia and Herzegovina 2012 4.773 9.342
## 199 Bosnia and Herzegovina 2013 5.124 9.382
## 200 Bosnia and Herzegovina 2014 5.249 9.411
## 201 Bosnia and Herzegovina 2015 5.117 9.457
## 202 Bosnia and Herzegovina 2016 5.181 9.500
## 203 Bosnia and Herzegovina 2017 5.090 9.532
## 204 Bosnia and Herzegovina 2018 5.887 9.576
## 205 Bosnia and Herzegovina 2019 6.016 9.609
## 206 Bosnia and Herzegovina 2020 5.516 9.583
## 207 Botswana 2006 4.739 9.492
## 208 Botswana 2008 5.451 9.590
## 209 Botswana 2010 3.553 9.556
## 210 Botswana 2011 3.520 9.600
## 211 Botswana 2012 4.836 9.632
## 212 Botswana 2013 4.128 9.728
## 213 Botswana 2014 4.031 9.756
## 214 Botswana 2015 3.762 9.724
## 215 Botswana 2016 3.499 9.748
## 216 Botswana 2017 3.505 9.756
## 217 Botswana 2018 3.461 9.778
## 218 Botswana 2019 3.471 9.785
## 219 Brazil 2005 6.637 9.438
## 220 Brazil 2007 6.321 9.515
## 221 Brazil 2008 6.691 9.555
## 222 Brazil 2009 7.001 9.544
## 223 Brazil 2010 6.837 9.607
## 224 Brazil 2011 7.038 9.637
## 225 Brazil 2012 6.660 9.647
## 226 Brazil 2013 7.140 9.668
## 227 Brazil 2014 6.981 9.664
## 228 Brazil 2015 6.547 9.620
## 229 Brazil 2016 6.375 9.578
## 230 Brazil 2017 6.333 9.583
## 231 Brazil 2018 6.191 9.589
## 232 Brazil 2019 6.451 9.592
## 233 Brazil 2020 6.110 9.522
## 234 Bulgaria 2007 3.844 9.715
## 235 Bulgaria 2010 3.912 9.765
## 236 Bulgaria 2011 3.875 9.795
## 237 Bulgaria 2012 4.222 9.804
## 238 Bulgaria 2013 3.993 9.813
## 239 Bulgaria 2014 4.438 9.838
## 240 Bulgaria 2015 4.865 9.883
## 241 Bulgaria 2016 4.838 9.928
## 242 Bulgaria 2017 5.097 9.969
## 243 Bulgaria 2018 5.099 10.007
## 244 Bulgaria 2019 5.108 10.047
## 245 Bulgaria 2020 5.598 9.991
## 246 Burkina Faso 2006 3.801 7.367
## 247 Burkina Faso 2007 4.017 7.377
## 248 Burkina Faso 2008 3.846 7.403
## 249 Burkina Faso 2010 4.036 7.453
## 250 Burkina Faso 2011 4.785 7.487
## 251 Burkina Faso 2012 3.955 7.520
## 252 Burkina Faso 2013 3.326 7.546
## 253 Burkina Faso 2014 3.481 7.559
## 254 Burkina Faso 2015 4.419 7.568
## 255 Burkina Faso 2016 4.206 7.596
## 256 Burkina Faso 2017 4.647 7.627
## 257 Burkina Faso 2018 4.927 7.665
## 258 Burkina Faso 2019 4.741 7.691
## 259 Burundi 2008 3.563 6.719
## 260 Burundi 2009 3.792 6.723
## 261 Burundi 2011 3.706 6.748
## 262 Burundi 2014 2.905 6.787
## 263 Burundi 2018 3.775 6.635
## 264 Cambodia 2006 3.569 7.746
## 265 Cambodia 2007 4.156 7.829
## 266 Cambodia 2008 4.462 7.879
## 267 Cambodia 2009 4.111 7.865
## 268 Cambodia 2010 4.141 7.907
## 269 Cambodia 2011 4.161 7.960
## 270 Cambodia 2012 3.899 8.014
## 271 Cambodia 2013 3.674 8.068
## 272 Cambodia 2014 3.883 8.121
## 273 Cambodia 2015 4.162 8.173
## 274 Cambodia 2016 4.461 8.225
## 275 Cambodia 2017 4.586 8.276
## 276 Cambodia 2018 5.122 8.333
## 277 Cambodia 2019 4.998 8.387
## 278 Cambodia 2020 4.377 8.362
## 279 Cameroon 2006 3.851 8.007
## 280 Cameroon 2007 4.350 8.028
## 281 Cameroon 2008 4.292 8.034
## 282 Cameroon 2009 4.741 8.029
## 283 Cameroon 2010 4.554 8.035
## 284 Cameroon 2011 4.434 8.048
## 285 Cameroon 2012 4.245 8.065
## 286 Cameroon 2013 4.271 8.090
## 287 Cameroon 2014 4.240 8.120
## 288 Cameroon 2015 5.038 8.149
## 289 Cameroon 2016 4.816 8.167
## 290 Cameroon 2017 5.074 8.176
## 291 Cameroon 2018 5.251 8.190
## 292 Cameroon 2019 4.937 8.203
## 293 Cameroon 2020 5.241 8.175
## 294 Canada 2005 7.418 10.652
## 295 Canada 2007 7.482 10.739
## 296 Canada 2008 7.486 10.738
## 297 Canada 2009 7.488 10.697
## 298 Canada 2010 7.650 10.717
## 299 Canada 2011 7.426 10.738
## 300 Canada 2012 7.415 10.744
## 301 Canada 2013 7.594 10.757
## 302 Canada 2014 7.304 10.775
## 303 Canada 2015 7.413 10.774
## 304 Canada 2016 7.245 10.773
## 305 Canada 2017 7.415 10.792
## 306 Canada 2018 7.175 10.798
## 307 Canada 2019 7.109 10.800
## 308 Canada 2020 7.025 10.730
## 309 Central African Republic 2007 4.160 6.987
## 310 Central African Republic 2010 3.568 7.091
## 311 Central African Republic 2011 3.678 7.125
## 312 Central African Republic 2016 2.693 6.785
## 313 Central African Republic 2017 3.476 6.817
## 314 Chad 2006 3.435 7.360
## 315 Chad 2007 4.141 7.359
## 316 Chad 2008 4.632 7.356
## 317 Chad 2009 3.639 7.364
## 318 Chad 2010 3.743 7.457
## 319 Chad 2011 4.393 7.425
## 320 Chad 2012 4.033 7.476
## 321 Chad 2013 3.508 7.498
## 322 Chad 2014 3.460 7.532
## 323 Chad 2015 4.323 7.527
## 324 Chad 2016 4.029 7.431
## 325 Chad 2017 4.559 7.370
## 326 Chad 2018 4.486 7.363
## 327 Chad 2019 4.251 7.365
## 328 Chile 2006 6.063 9.850
## 329 Chile 2007 5.698 9.887
## 330 Chile 2008 5.789 9.911
## 331 Chile 2009 6.494 9.885
## 332 Chile 2010 6.636 9.931
## 333 Chile 2011 6.526 9.980
## 334 Chile 2012 6.599 10.023
## 335 Chile 2013 6.740 10.053
## 336 Chile 2014 6.844 10.059
## 337 Chile 2015 6.533 10.070
## 338 Chile 2016 6.579 10.074
## 339 Chile 2017 6.320 10.072
## 340 Chile 2018 6.436 10.097
## 341 Chile 2019 5.942 10.095
## 342 Chile 2020 6.151 10.020
## 343 China 2006 4.560 8.696
## 344 China 2007 4.863 8.824
## 345 China 2008 4.846 8.911
## 346 China 2009 4.454 8.996
## 347 China 2010 4.653 9.092
## 348 China 2011 5.037 9.179
## 349 China 2012 5.095 9.249
## 350 China 2013 5.241 9.319
## 351 China 2014 5.196 9.386
## 352 China 2015 5.304 9.449
## 353 China 2016 5.325 9.510
## 354 China 2017 5.099 9.571
## 355 China 2018 5.131 9.632
## 356 China 2019 5.144 9.688
## 357 China 2020 5.771 9.702
## 358 Colombia 2006 6.025 9.277
## 359 Colombia 2007 6.138 9.330
## 360 Colombia 2008 6.168 9.351
## 361 Colombia 2009 6.272 9.351
## 362 Colombia 2010 6.408 9.384
## 363 Colombia 2011 6.464 9.442
## 364 Colombia 2012 6.375 9.471
## 365 Colombia 2013 6.607 9.512
## 366 Colombia 2014 6.449 9.546
## 367 Colombia 2015 6.388 9.564
## 368 Colombia 2016 6.234 9.571
## 369 Colombia 2017 6.157 9.569
## 370 Colombia 2018 5.984 9.579
## 371 Colombia 2019 6.350 9.598
## 372 Colombia 2020 5.709 9.495
## 373 Comoros 2009 3.476 7.952
## 374 Comoros 2010 3.812 7.965
## 375 Comoros 2011 3.838 7.981
## 376 Comoros 2012 3.956 7.988
## 377 Comoros 2018 3.973 8.028
## 378 Comoros 2019 4.609 8.033
## 379 Congo (Brazzaville) 2008 3.820 8.082
## 380 Congo (Brazzaville) 2011 4.510 8.180
## 381 Congo (Brazzaville) 2012 3.919 8.192
## 382 Congo (Brazzaville) 2013 3.955 8.201
## 383 Congo (Brazzaville) 2014 4.056 8.242
## 384 Congo (Brazzaville) 2015 4.691 8.243
## 385 Congo (Brazzaville) 2016 4.119 8.190
## 386 Congo (Brazzaville) 2017 4.884 8.146
## 387 Congo (Brazzaville) 2018 5.490 8.136
## 388 Congo (Brazzaville) 2019 5.213 8.101
## 389 Congo (Kinshasa) 2009 3.984 6.728
## 390 Congo (Kinshasa) 2011 4.517 6.797
## 391 Congo (Kinshasa) 2012 4.639 6.832
## 392 Congo (Kinshasa) 2013 4.497 6.880
## 393 Congo (Kinshasa) 2014 4.414 6.937
## 394 Congo (Kinshasa) 2015 3.903 6.971
## 395 Congo (Kinshasa) 2016 4.522 6.962
## 396 Congo (Kinshasa) 2017 4.311 6.966
## 397 Costa Rica 2006 7.082 9.565
## 398 Costa Rica 2007 7.432 9.630
## 399 Costa Rica 2008 6.851 9.662
## 400 Costa Rica 2009 7.615 9.639
## 401 Costa Rica 2010 7.271 9.675
## 402 Costa Rica 2011 7.229 9.705
## 403 Costa Rica 2012 7.272 9.740
## 404 Costa Rica 2013 7.158 9.751
## 405 Costa Rica 2014 7.247 9.775
## 406 Costa Rica 2015 6.854 9.799
## 407 Costa Rica 2016 7.136 9.830
## 408 Costa Rica 2017 7.225 9.858
## 409 Costa Rica 2018 7.141 9.874
## 410 Costa Rica 2019 6.998 9.885
## 411 Croatia 2007 5.821 10.162
## 412 Croatia 2009 5.433 10.104
## 413 Croatia 2010 5.596 10.091
## 414 Croatia 2011 5.385 10.091
## 415 Croatia 2012 6.028 10.072
## 416 Croatia 2013 5.885 10.069
## 417 Croatia 2014 5.381 10.072
## 418 Croatia 2015 5.205 10.104
## 419 Croatia 2016 5.417 10.146
## 420 Croatia 2017 5.343 10.189
## 421 Croatia 2018 5.536 10.224
## 422 Croatia 2019 5.626 10.258
## 423 Croatia 2020 6.508 10.166
## 424 Cuba 2006 5.418 0.000
## 425 Cyprus 2006 6.238 10.566
## 426 Cyprus 2009 6.833 10.558
## 427 Cyprus 2010 6.387 10.551
## 428 Cyprus 2011 6.690 10.530
## 429 Cyprus 2012 6.181 10.479
## 430 Cyprus 2013 5.439 10.414
## 431 Cyprus 2014 5.627 10.406
## 432 Cyprus 2015 5.439 10.445
## 433 Cyprus 2016 5.795 10.506
## 434 Cyprus 2017 6.062 10.539
## 435 Cyprus 2018 6.276 10.567
## 436 Cyprus 2019 6.137 10.585
## 437 Cyprus 2020 6.260 0.000
## 438 Czech Republic 2005 6.439 10.324
## 439 Czech Republic 2007 6.500 10.437
## 440 Czech Republic 2010 6.250 10.419
## 441 Czech Republic 2011 6.331 10.435
## 442 Czech Republic 2012 6.334 10.426
## 443 Czech Republic 2013 6.698 10.420
## 444 Czech Republic 2014 6.484 10.446
## 445 Czech Republic 2015 6.608 10.496
## 446 Czech Republic 2016 6.736 10.518
## 447 Czech Republic 2017 6.790 10.558
## 448 Czech Republic 2018 7.034 10.583
## 449 Czech Republic 2020 6.897 10.530
## 450 Denmark 2005 8.019 10.851
## 451 Denmark 2007 7.834 10.891
## 452 Denmark 2008 7.971 10.880
## 453 Denmark 2009 7.683 10.824
## 454 Denmark 2010 7.771 10.839
## 455 Denmark 2011 7.788 10.848
## 456 Denmark 2012 7.520 10.846
## 457 Denmark 2013 7.589 10.851
## 458 Denmark 2014 7.508 10.862
## 459 Denmark 2015 7.514 10.878
## 460 Denmark 2016 7.558 10.903
## 461 Denmark 2017 7.594 10.916
## 462 Denmark 2018 7.649 10.935
## 463 Denmark 2019 7.693 10.954
## 464 Denmark 2020 7.515 10.910
## 465 Djibouti 2008 5.009 8.111
## 466 Djibouti 2009 4.906 7.927
## 467 Djibouti 2010 5.006 7.812
## 468 Djibouti 2011 4.369 7.880
## 469 Dominican Republic 2006 5.088 9.314
## 470 Dominican Republic 2007 5.081 9.372
## 471 Dominican Republic 2008 4.842 9.391
## 472 Dominican Republic 2009 5.432 9.388
## 473 Dominican Republic 2010 4.735 9.456
## 474 Dominican Republic 2011 5.397 9.475
## 475 Dominican Republic 2012 4.753 9.489
## 476 Dominican Republic 2013 5.016 9.525
## 477 Dominican Republic 2014 5.387 9.582
## 478 Dominican Republic 2015 5.062 9.637
## 479 Dominican Republic 2016 5.239 9.691
## 480 Dominican Republic 2017 5.605 9.725
## 481 Dominican Republic 2018 5.433 9.782
## 482 Dominican Republic 2019 6.004 9.821
## 483 Dominican Republic 2020 5.168 9.802
## 484 Ecuador 2006 5.024 9.186
## 485 Ecuador 2007 4.996 9.191
## 486 Ecuador 2008 5.297 9.236
## 487 Ecuador 2009 6.022 9.225
## 488 Ecuador 2010 5.838 9.244
## 489 Ecuador 2011 5.795 9.304
## 490 Ecuador 2012 5.961 9.344
## 491 Ecuador 2013 6.019 9.377
## 492 Ecuador 2014 5.946 9.399
## 493 Ecuador 2015 5.964 9.384
## 494 Ecuador 2016 6.115 9.355
## 495 Ecuador 2017 5.840 9.360
## 496 Ecuador 2018 6.128 9.355
## 497 Ecuador 2019 5.809 9.339
## 498 Ecuador 2020 5.354 9.244
## 499 Egypt 2005 5.168 9.036
## 500 Egypt 2007 5.541 9.135
## 501 Egypt 2008 4.632 9.186
## 502 Egypt 2009 5.066 9.213
## 503 Egypt 2010 4.669 9.244
## 504 Egypt 2011 4.174 9.240
## 505 Egypt 2012 4.204 9.240
## 506 Egypt 2013 3.559 9.239
## 507 Egypt 2014 4.885 9.245
## 508 Egypt 2015 4.763 9.266
## 509 Egypt 2016 4.557 9.287
## 510 Egypt 2017 3.929 9.307
## 511 Egypt 2018 4.005 9.338
## 512 Egypt 2019 4.328 9.373
## 513 Egypt 2020 4.472 9.383
## 514 El Salvador 2006 5.701 8.873
## 515 El Salvador 2007 5.296 8.887
## 516 El Salvador 2008 5.191 8.908
## 517 El Salvador 2009 6.839 8.883
## 518 El Salvador 2010 6.740 8.900
## 519 El Salvador 2011 4.741 8.933
## 520 El Salvador 2012 5.934 8.956
## 521 El Salvador 2013 6.325 8.974
## 522 El Salvador 2014 5.857 8.986
## 523 El Salvador 2015 6.018 9.005
## 524 El Salvador 2016 6.140 9.025
## 525 El Salvador 2017 6.339 9.042
## 526 El Salvador 2018 6.241 9.061
## 527 El Salvador 2019 6.455 9.080
## 528 El Salvador 2020 5.462 9.019
## 529 Estonia 2006 5.371 10.270
## 530 Estonia 2007 5.332 10.347
## 531 Estonia 2008 5.452 10.298
## 532 Estonia 2009 5.138 10.144
## 533 Estonia 2011 5.487 10.248
## 534 Estonia 2012 5.364 10.282
## 535 Estonia 2013 5.367 10.299
## 536 Estonia 2014 5.556 10.331
## 537 Estonia 2015 5.629 10.348
## 538 Estonia 2016 5.650 10.374
## 539 Estonia 2017 5.938 10.429
## 540 Estonia 2018 6.091 10.472
## 541 Estonia 2019 6.035 10.511
## 542 Estonia 2020 6.453 10.459
## 543 Ethiopia 2012 4.561 7.271
## 544 Ethiopia 2013 4.445 7.343
## 545 Ethiopia 2014 4.507 7.413
## 546 Ethiopia 2015 4.573 7.484
## 547 Ethiopia 2016 4.298 7.547
## 548 Ethiopia 2017 4.180 7.612
## 549 Ethiopia 2018 4.379 7.651
## 550 Ethiopia 2019 4.100 7.705
## 551 Ethiopia 2020 4.549 7.711
## 552 Finland 2006 7.672 10.745
## 553 Finland 2008 7.671 10.796
## 554 Finland 2010 7.393 10.734
## 555 Finland 2011 7.354 10.754
## 556 Finland 2012 7.420 10.735
## 557 Finland 2013 7.445 10.722
## 558 Finland 2014 7.385 10.714
## 559 Finland 2015 7.448 10.716
## 560 Finland 2016 7.660 10.740
## 561 Finland 2017 7.788 10.768
## 562 Finland 2018 7.858 10.783
## 563 Finland 2019 7.780 10.792
## 564 Finland 2020 7.889 10.750
## 565 France 2005 7.093 10.642
## 566 France 2006 6.583 10.659
## 567 France 2008 7.008 10.674
## 568 France 2009 6.283 10.639
## 569 France 2010 6.798 10.654
## 570 France 2011 6.959 10.671
## 571 France 2012 6.649 10.669
## 572 France 2013 6.667 10.669
## 573 France 2014 6.467 10.674
## 574 France 2015 6.358 10.682
## 575 France 2016 6.475 10.690
## 576 France 2017 6.635 10.711
## 577 France 2018 6.666 10.727
## 578 France 2019 6.690 10.740
## 579 France 2020 6.714 10.643
## 580 Gabon 2011 4.255 9.608
## 581 Gabon 2012 3.972 9.621
## 582 Gabon 2013 3.800 9.638
## 583 Gabon 2014 3.918 9.644
## 584 Gabon 2015 4.661 9.649
## 585 Gabon 2016 4.832 9.639
## 586 Gabon 2017 4.782 9.616
## 587 Gabon 2018 4.783 9.599
## 588 Gabon 2019 4.914 9.607
## 589 Gambia 2017 4.118 7.637
## 590 Gambia 2018 4.922 7.671
## 591 Gambia 2019 5.164 7.699
## 592 Georgia 2006 3.675 8.993
## 593 Georgia 2007 3.707 9.117
## 594 Georgia 2008 4.156 9.144
## 595 Georgia 2009 3.801 9.116
## 596 Georgia 2010 4.102 9.184
## 597 Georgia 2011 4.203 9.263
## 598 Georgia 2012 4.254 9.332
## 599 Georgia 2013 4.349 9.371
## 600 Georgia 2014 4.288 9.414
## 601 Georgia 2015 4.122 9.442
## 602 Georgia 2016 4.448 9.470
## 603 Georgia 2017 4.451 9.517
## 604 Georgia 2018 4.659 9.565
## 605 Georgia 2019 4.892 9.617
## 606 Georgia 2020 5.123 9.569
## 607 Germany 2005 6.620 10.689
## 608 Germany 2007 6.417 10.759
## 609 Germany 2008 6.522 10.770
## 610 Germany 2009 6.641 10.714
## 611 Germany 2010 6.725 10.756
## 612 Germany 2011 6.621 10.813
## 613 Germany 2012 6.702 10.816
## 614 Germany 2013 6.965 10.817
## 615 Germany 2014 6.984 10.835
## 616 Germany 2015 7.037 10.844
## 617 Germany 2016 6.874 10.858
## 618 Germany 2017 7.074 10.878
## 619 Germany 2018 7.118 10.890
## 620 Germany 2019 7.035 10.893
## 621 Germany 2020 7.312 10.833
## 622 Ghana 2006 4.535 8.073
## 623 Ghana 2007 5.220 8.090
## 624 Ghana 2008 4.965 8.152
## 625 Ghana 2009 4.198 8.174
## 626 Ghana 2010 4.606 8.225
## 627 Ghana 2011 5.608 8.332
## 628 Ghana 2012 5.057 8.397
## 629 Ghana 2013 4.965 8.445
## 630 Ghana 2014 3.860 8.450
## 631 Ghana 2015 3.986 8.449
## 632 Ghana 2016 4.514 8.460
## 633 Ghana 2017 5.481 8.517
## 634 Ghana 2018 5.004 8.555
## 635 Ghana 2019 4.967 8.596
## 636 Ghana 2020 5.319 8.590
## 637 Greece 2005 6.006 10.462
## 638 Greece 2007 6.647 10.543
## 639 Greece 2009 6.039 10.491
## 640 Greece 2010 5.840 10.433
## 641 Greece 2011 5.372 10.339
## 642 Greece 2012 5.096 10.268
## 643 Greece 2013 4.720 10.243
## 644 Greece 2014 4.756 10.257
## 645 Greece 2015 5.623 10.259
## 646 Greece 2016 5.303 10.261
## 647 Greece 2017 5.148 10.278
## 648 Greece 2018 5.409 10.299
## 649 Greece 2019 5.952 10.319
## 650 Greece 2020 5.788 10.215
## 651 Guatemala 2006 5.901 8.850
## 652 Guatemala 2007 6.330 8.891
## 653 Guatemala 2008 6.414 8.904
## 654 Guatemala 2009 6.452 8.891
## 655 Guatemala 2010 6.290 8.901
## 656 Guatemala 2011 5.743 8.923
## 657 Guatemala 2012 5.856 8.935
## 658 Guatemala 2013 5.985 8.953
## 659 Guatemala 2014 6.536 8.980
## 660 Guatemala 2015 6.465 9.003
## 661 Guatemala 2016 6.359 9.013
## 662 Guatemala 2017 6.325 9.026
## 663 Guatemala 2018 6.627 9.042
## 664 Guatemala 2019 6.262 9.064
## 665 Guinea 2011 4.045 7.567
## 666 Guinea 2012 3.652 7.603
## 667 Guinea 2013 3.902 7.619
## 668 Guinea 2014 3.412 7.632
## 669 Guinea 2015 3.505 7.645
## 670 Guinea 2016 3.603 7.721
## 671 Guinea 2017 4.874 7.792
## 672 Guinea 2018 5.252 7.823
## 673 Guinea 2019 4.768 7.849
## 674 Guyana 2007 5.993 8.773
## 675 Haiti 2006 3.754 7.407
## 676 Haiti 2008 3.846 7.417
## 677 Haiti 2010 3.766 7.384
## 678 Haiti 2011 4.845 7.423
## 679 Haiti 2012 4.413 7.437
## 680 Haiti 2013 4.622 7.464
## 681 Haiti 2014 3.889 7.477
## 682 Haiti 2015 3.570 7.476
## 683 Haiti 2016 3.352 7.477
## 684 Haiti 2017 3.824 7.475
## 685 Haiti 2018 3.615 7.477
## 686 Honduras 2006 5.397 8.462
## 687 Honduras 2007 5.097 8.500
## 688 Honduras 2008 5.420 8.520
## 689 Honduras 2009 6.033 8.474
## 690 Honduras 2010 5.866 8.490
## 691 Honduras 2011 4.961 8.508
## 692 Honduras 2012 4.602 8.530
## 693 Honduras 2013 4.713 8.540
## 694 Honduras 2014 5.056 8.552
## 695 Honduras 2015 4.845 8.572
## 696 Honduras 2016 5.648 8.593
## 697 Honduras 2017 6.020 8.624
## 698 Honduras 2018 5.908 8.643
## 699 Honduras 2019 5.930 8.653
## 700 Hong Kong S.A.R. of China 2006 5.511 10.746
## 701 Hong Kong S.A.R. of China 2008 5.137 10.816
## 702 Hong Kong S.A.R. of China 2009 5.397 10.788
## 703 Hong Kong S.A.R. of China 2010 5.643 10.847
## 704 Hong Kong S.A.R. of China 2011 5.474 10.887
## 705 Hong Kong S.A.R. of China 2012 5.484 10.893
## 706 Hong Kong S.A.R. of China 2014 5.458 10.940
## 707 Hong Kong S.A.R. of China 2016 5.498 10.970
## 708 Hong Kong S.A.R. of China 2017 5.362 11.000
## 709 Hong Kong S.A.R. of China 2019 5.659 11.000
## 710 Hong Kong S.A.R. of China 2020 5.295 0.000
## 711 Hungary 2005 5.194 10.108
## 712 Hungary 2007 4.954 10.153
## 713 Hungary 2009 4.895 10.097
## 714 Hungary 2010 4.725 10.106
## 715 Hungary 2011 4.918 10.127
## 716 Hungary 2012 4.683 10.117
## 717 Hungary 2013 4.914 10.140
## 718 Hungary 2014 5.181 10.183
## 719 Hungary 2015 5.344 10.223
## 720 Hungary 2016 5.449 10.248
## 721 Hungary 2017 6.065 10.293
## 722 Hungary 2018 5.936 10.344
## 723 Hungary 2019 6.000 10.393
## 724 Hungary 2020 6.038 10.335
## 725 Iceland 2008 6.888 10.861
## 726 Iceland 2012 7.591 10.777
## 727 Iceland 2013 7.501 10.809
## 728 Iceland 2015 7.498 10.854
## 729 Iceland 2016 7.510 10.904
## 730 Iceland 2017 7.476 10.925
## 731 Iceland 2019 7.533 10.931
## 732 Iceland 2020 7.575 10.824
## 733 India 2006 5.348 8.145
## 734 India 2007 5.027 8.204
## 735 India 2008 5.146 8.220
## 736 India 2009 4.522 8.281
## 737 India 2010 4.989 8.349
## 738 India 2011 4.635 8.387
## 739 India 2012 4.720 8.428
## 740 India 2013 4.428 8.478
## 741 India 2014 4.424 8.538
## 742 India 2015 4.342 8.604
## 743 India 2016 4.179 8.673
## 744 India 2017 4.046 8.730
## 745 India 2018 3.818 8.779
## 746 India 2019 3.249 8.818
## 747 India 2020 4.225 8.703
## 748 Indonesia 2006 4.947 8.850
## 749 Indonesia 2007 5.101 8.898
## 750 Indonesia 2008 4.815 8.943
## 751 Indonesia 2009 5.472 8.975
## 752 Indonesia 2010 5.457 9.022
## 753 Indonesia 2011 5.173 9.069
## 754 Indonesia 2012 5.368 9.114
## 755 Indonesia 2013 5.292 9.155
## 756 Indonesia 2014 5.597 9.190
## 757 Indonesia 2015 5.043 9.225
## 758 Indonesia 2016 5.136 9.262
## 759 Indonesia 2017 5.098 9.300
## 760 Indonesia 2018 5.340 9.339
## 761 Indonesia 2019 5.347 9.377
## 762 Iran 2005 5.308 9.393
## 763 Iran 2007 5.336 9.497
## 764 Iran 2008 5.129 9.489
## 765 Iran 2011 4.768 9.547
## 766 Iran 2012 4.609 9.458
## 767 Iran 2013 5.140 9.443
## 768 Iran 2014 4.682 9.476
## 769 Iran 2015 4.750 9.449
## 770 Iran 2016 4.653 9.561
## 771 Iran 2017 4.717 9.584
## 772 Iran 2018 4.278 0.000
## 773 Iran 2019 5.006 0.000
## 774 Iran 2020 4.865 0.000
## 775 Iraq 2008 4.590 9.063
## 776 Iraq 2009 4.775 9.076
## 777 Iraq 2010 5.065 9.112
## 778 Iraq 2011 4.725 9.152
## 779 Iraq 2012 4.660 9.246
## 780 Iraq 2013 4.725 9.280
## 781 Iraq 2014 4.542 9.250
## 782 Iraq 2015 4.493 9.241
## 783 Iraq 2016 4.413 9.354
## 784 Iraq 2017 4.462 9.303
## 785 Iraq 2018 4.886 9.274
## 786 Iraq 2020 4.785 9.167
## 787 Ireland 2006 7.144 10.972
## 788 Ireland 2008 7.568 10.929
## 789 Ireland 2009 7.046 10.866
## 790 Ireland 2010 7.257 10.879
## 791 Ireland 2011 7.007 10.878
## 792 Ireland 2012 6.965 10.876
## 793 Ireland 2013 6.760 10.884
## 794 Ireland 2014 7.018 10.959
## 795 Ireland 2015 6.830 11.174
## 796 Ireland 2016 7.041 11.199
## 797 Ireland 2017 7.060 11.266
## 798 Ireland 2018 6.962 11.332
## 799 Ireland 2019 7.255 11.371
## 800 Ireland 2020 7.035 11.323
## 801 Israel 2006 7.173 10.389
## 802 Israel 2007 6.841 10.428
## 803 Israel 2008 7.261 10.440
## 804 Israel 2009 7.353 10.425
## 805 Israel 2010 7.359 10.461
## 806 Israel 2011 7.433 10.489
## 807 Israel 2012 7.111 10.493
## 808 Israel 2013 7.321 10.515
## 809 Israel 2014 7.401 10.533
## 810 Israel 2015 7.079 10.536
## 811 Israel 2016 7.159 10.555
## 812 Israel 2017 7.331 10.570
## 813 Israel 2018 6.927 10.585
## 814 Israel 2019 7.332 10.601
## 815 Israel 2020 7.195 10.538
## 816 Italy 2005 6.854 10.703
## 817 Italy 2007 6.574 10.727
## 818 Italy 2008 6.780 10.711
## 819 Italy 2009 6.334 10.652
## 820 Italy 2010 6.354 10.666
## 821 Italy 2011 6.057 10.671
## 822 Italy 2012 5.839 10.638
## 823 Italy 2013 6.009 10.608
## 824 Italy 2014 6.027 10.599
## 825 Italy 2015 5.848 10.608
## 826 Italy 2016 5.955 10.622
## 827 Italy 2017 6.199 10.640
## 828 Italy 2018 6.517 10.650
## 829 Italy 2019 6.445 10.655
## 830 Italy 2020 6.488 10.563
## 831 Ivory Coast 2009 4.197 8.209
## 832 Ivory Coast 2013 3.739 8.274
## 833 Ivory Coast 2014 3.570 8.334
## 834 Ivory Coast 2015 4.445 8.393
## 835 Ivory Coast 2016 4.543 8.437
## 836 Ivory Coast 2017 5.038 8.483
## 837 Ivory Coast 2018 5.268 8.523
## 838 Ivory Coast 2019 5.392 8.564
## 839 Ivory Coast 2020 5.257 8.565
## 840 Jamaica 2006 6.208 9.225
## 841 Jamaica 2011 5.374 9.164
## 842 Jamaica 2013 5.709 9.151
## 843 Jamaica 2014 5.311 9.152
## 844 Jamaica 2017 5.890 9.169
## 845 Jamaica 2019 6.309 9.186
## 846 Japan 2005 6.516 10.529
## 847 Japan 2007 6.238 10.558
## 848 Japan 2008 5.911 10.546
## 849 Japan 2009 5.845 10.491
## 850 Japan 2010 6.057 10.532
## 851 Japan 2011 6.263 10.532
## 852 Japan 2012 5.968 10.549
## 853 Japan 2013 5.959 10.570
## 854 Japan 2014 5.923 10.575
## 855 Japan 2015 5.880 10.588
## 856 Japan 2016 5.955 10.595
## 857 Japan 2017 5.911 10.618
## 858 Japan 2018 5.794 10.623
## 859 Japan 2019 5.908 10.632
## 860 Japan 2020 6.118 10.580
## 861 Jordan 2005 6.295 9.246
## 862 Jordan 2007 5.598 9.321
## 863 Jordan 2008 4.930 9.343
## 864 Jordan 2009 6.000 9.347
## 865 Jordan 2010 5.570 9.317
## 866 Jordan 2011 5.539 9.289
## 867 Jordan 2012 5.132 9.261
## 868 Jordan 2013 5.172 9.237
## 869 Jordan 2014 5.333 9.222
## 870 Jordan 2015 5.405 9.207
## 871 Jordan 2016 5.271 9.197
## 872 Jordan 2017 4.808 9.194
## 873 Jordan 2018 4.639 9.196
## 874 Jordan 2019 4.453 9.201
## 875 Jordan 2020 4.094 9.150
## 876 Kazakhstan 2006 5.476 9.804
## 877 Kazakhstan 2007 5.719 9.878
## 878 Kazakhstan 2008 5.886 9.898
## 879 Kazakhstan 2009 5.383 9.884
## 880 Kazakhstan 2010 5.514 9.940
## 881 Kazakhstan 2011 5.736 9.997
## 882 Kazakhstan 2012 5.759 10.030
## 883 Kazakhstan 2013 5.835 10.074
## 884 Kazakhstan 2014 5.970 10.101
## 885 Kazakhstan 2015 5.950 10.098
## 886 Kazakhstan 2016 5.534 10.095
## 887 Kazakhstan 2017 5.882 10.121
## 888 Kazakhstan 2018 6.008 10.148
## 889 Kazakhstan 2019 6.272 10.179
## 890 Kazakhstan 2020 6.168 10.135
## 891 Kenya 2006 4.223 8.039
## 892 Kenya 2007 4.576 8.078
## 893 Kenya 2008 4.015 8.052
## 894 Kenya 2009 4.270 8.057
## 895 Kenya 2010 4.256 8.111
## 896 Kenya 2011 4.405 8.143
## 897 Kenya 2012 4.547 8.161
## 898 Kenya 2013 3.795 8.192
## 899 Kenya 2014 4.905 8.219
## 900 Kenya 2015 4.358 8.249
## 901 Kenya 2016 4.396 8.282
## 902 Kenya 2017 4.476 8.306
## 903 Kenya 2018 4.656 8.344
## 904 Kenya 2019 4.619 8.373
## 905 Kenya 2020 4.547 8.365
## 906 Kosovo 2007 5.104 8.928
## 907 Kosovo 2008 5.522 8.981
## 908 Kosovo 2009 5.891 9.008
## 909 Kosovo 2010 5.177 9.033
## 910 Kosovo 2011 4.860 9.067
## 911 Kosovo 2012 5.640 9.086
## 912 Kosovo 2013 6.126 9.113
## 913 Kosovo 2014 5.000 9.129
## 914 Kosovo 2015 5.077 9.182
## 915 Kosovo 2016 5.759 9.228
## 916 Kosovo 2017 6.149 9.262
## 917 Kosovo 2018 6.392 9.296
## 918 Kosovo 2019 6.425 9.339
## 919 Kosovo 2020 6.294 0.000
## 920 Kuwait 2006 6.076 11.228
## 921 Kuwait 2009 6.585 11.065
## 922 Kuwait 2010 6.798 10.982
## 923 Kuwait 2011 6.378 11.017
## 924 Kuwait 2012 6.221 11.025
## 925 Kuwait 2013 6.480 10.985
## 926 Kuwait 2014 6.180 10.945
## 927 Kuwait 2015 6.146 10.912
## 928 Kuwait 2016 5.947 10.910
## 929 Kuwait 2017 6.094 10.837
## 930 Kuwait 2019 6.106 10.817
## 931 Kyrgyzstan 2006 4.641 8.185
## 932 Kyrgyzstan 2007 4.698 8.258
## 933 Kyrgyzstan 2008 4.737 8.329
## 934 Kyrgyzstan 2009 5.069 8.345
## 935 Kyrgyzstan 2010 4.996 8.329
## 936 Kyrgyzstan 2011 4.921 8.374
## 937 Kyrgyzstan 2012 5.208 8.357
## 938 Kyrgyzstan 2013 5.402 8.441
## 939 Kyrgyzstan 2014 5.252 8.460
## 940 Kyrgyzstan 2015 4.905 8.477
## 941 Kyrgyzstan 2016 4.857 8.500
## 942 Kyrgyzstan 2017 5.630 8.526
## 943 Kyrgyzstan 2018 5.297 8.543
## 944 Kyrgyzstan 2019 5.685 8.567
## 945 Kyrgyzstan 2020 6.250 8.503
## 946 Laos 2006 5.076 8.251
## 947 Laos 2007 5.364 8.307
## 948 Laos 2008 5.044 8.366
## 949 Laos 2011 4.704 8.548
## 950 Laos 2012 4.876 8.611
## 951 Laos 2017 4.623 8.890
## 952 Laos 2018 4.859 8.935
## 953 Laos 2019 5.197 8.965
## 954 Laos 2020 5.284 8.960
## 955 Latvia 2006 4.710 10.032
## 956 Latvia 2007 4.667 10.136
## 957 Latvia 2008 5.145 10.112
## 958 Latvia 2009 4.669 9.975
## 959 Latvia 2011 4.967 10.029
## 960 Latvia 2012 5.125 10.082
## 961 Latvia 2013 5.070 10.116
## 962 Latvia 2014 5.729 10.144
## 963 Latvia 2015 5.881 10.185
## 964 Latvia 2016 5.940 10.211
## 965 Latvia 2017 5.978 10.257
## 966 Latvia 2018 5.901 10.307
## 967 Latvia 2019 5.970 10.336
## 968 Latvia 2020 6.229 10.300
## 969 Lebanon 2005 5.491 9.565
## 970 Lebanon 2006 4.653 9.568
## 971 Lebanon 2008 4.595 9.743
## 972 Lebanon 2009 5.206 9.830
## 973 Lebanon 2010 5.032 9.878
## 974 Lebanon 2011 5.188 9.838
## 975 Lebanon 2012 4.573 9.800
## 976 Lebanon 2013 4.983 9.772
## 977 Lebanon 2014 5.233 9.739
## 978 Lebanon 2015 5.172 9.699
## 979 Lebanon 2016 5.271 9.687
## 980 Lebanon 2017 5.154 9.681
## 981 Lebanon 2018 5.167 9.656
## 982 Lebanon 2019 4.024 9.597
## 983 Lesotho 2011 4.898 7.777
## 984 Lesotho 2016 3.808 7.953
## 985 Lesotho 2017 3.795 7.931
## 986 Lesotho 2019 3.512 7.926
## 987 Liberia 2007 3.701 7.196
## 988 Liberia 2008 4.221 7.223
## 989 Liberia 2010 4.196 7.258
## 990 Liberia 2014 4.571 7.391
## 991 Liberia 2015 2.702 7.365
## 992 Liberia 2016 3.355 7.324
## 993 Liberia 2017 4.424 7.324
## 994 Liberia 2018 4.135 7.311
## 995 Liberia 2019 5.121 7.264
## 996 Libya 2012 5.754 9.842
## 997 Libya 2015 5.615 9.308
## 998 Libya 2016 5.434 9.268
## 999 Libya 2017 5.647 9.491
## 1000 Libya 2018 5.494 9.617
## 1001 Libya 2019 5.330 9.627
## 1002 Lithuania 2006 5.954 10.046
## 1003 Lithuania 2007 5.808 10.163
## 1004 Lithuania 2008 5.554 10.199
## 1005 Lithuania 2009 5.467 10.050
## 1006 Lithuania 2010 5.066 10.085
## 1007 Lithuania 2011 5.432 10.167
## 1008 Lithuania 2012 5.771 10.218
## 1009 Lithuania 2013 5.596 10.263
## 1010 Lithuania 2014 6.126 10.306
## 1011 Lithuania 2015 5.711 10.335
## 1012 Lithuania 2016 5.866 10.373
## 1013 Lithuania 2017 6.273 10.429
## 1014 Lithuania 2018 6.309 10.474
## 1015 Lithuania 2019 6.064 10.518
## 1016 Lithuania 2020 6.391 10.504
## 1017 Luxembourg 2009 6.958 11.562
## 1018 Luxembourg 2010 7.097 11.592
## 1019 Luxembourg 2011 7.101 11.595
## 1020 Luxembourg 2012 6.964 11.567
## 1021 Luxembourg 2013 7.131 11.580
## 1022 Luxembourg 2014 6.891 11.598
## 1023 Luxembourg 2015 6.702 11.617
## 1024 Luxembourg 2016 6.967 11.640
## 1025 Luxembourg 2017 7.061 11.634
## 1026 Luxembourg 2018 7.243 11.645
## 1027 Luxembourg 2019 7.404 11.648
## 1028 Madagascar 2006 3.980 7.376
## 1029 Madagascar 2008 4.640 7.439
## 1030 Madagascar 2011 4.381 7.336
## 1031 Madagascar 2012 3.551 7.339
## 1032 Madagascar 2013 3.816 7.334
## 1033 Madagascar 2014 3.676 7.340
## 1034 Madagascar 2015 3.593 7.344
## 1035 Madagascar 2016 3.663 7.356
## 1036 Madagascar 2017 4.079 7.368
## 1037 Madagascar 2018 4.071 7.386
## 1038 Madagascar 2019 4.339 7.406
## 1039 Malawi 2006 3.830 6.678
## 1040 Malawi 2007 4.891 6.742
## 1041 Malawi 2009 5.148 6.838
## 1042 Malawi 2011 3.946 6.895
## 1043 Malawi 2012 4.279 6.885
## 1044 Malawi 2013 4.035 6.907
## 1045 Malawi 2014 4.563 6.935
## 1046 Malawi 2015 3.868 6.935
## 1047 Malawi 2016 3.476 6.932
## 1048 Malawi 2017 3.417 6.945
## 1049 Malawi 2018 3.335 6.949
## 1050 Malawi 2019 3.869 6.966
## 1051 Malaysia 2006 6.012 9.839
## 1052 Malaysia 2007 6.239 9.881
## 1053 Malaysia 2008 5.807 9.909
## 1054 Malaysia 2009 5.385 9.875
## 1055 Malaysia 2010 5.580 9.930
## 1056 Malaysia 2011 5.786 9.966
## 1057 Malaysia 2012 5.914 10.005
## 1058 Malaysia 2013 5.770 10.037
## 1059 Malaysia 2014 5.963 10.082
## 1060 Malaysia 2015 6.322 10.118
## 1061 Malaysia 2018 5.339 10.223
## 1062 Malaysia 2019 5.428 10.252
## 1063 Maldives 2018 5.198 9.826
## 1064 Mali 2006 4.014 7.593
## 1065 Mali 2008 4.115 7.607
## 1066 Mali 2009 3.977 7.622
## 1067 Mali 2010 3.762 7.642
## 1068 Mali 2011 4.667 7.643
## 1069 Mali 2012 4.313 7.605
## 1070 Mali 2013 3.676 7.599
## 1071 Mali 2014 3.975 7.638
## 1072 Mali 2015 4.582 7.669
## 1073 Mali 2016 4.016 7.695
## 1074 Mali 2017 4.742 7.718
## 1075 Mali 2018 4.416 7.733
## 1076 Mali 2019 4.988 7.752
## 1077 Malta 2009 6.328 10.331
## 1078 Malta 2010 5.774 10.361
## 1079 Malta 2011 6.155 10.370
## 1080 Malta 2012 5.963 10.389
## 1081 Malta 2013 6.380 10.422
## 1082 Malta 2014 6.452 10.486
## 1083 Malta 2015 6.613 10.566
## 1084 Malta 2016 6.591 10.599
## 1085 Malta 2017 6.676 10.635
## 1086 Malta 2018 6.910 10.670
## 1087 Malta 2019 6.733 10.677
## 1088 Malta 2020 6.157 0.000
## 1089 Mauritania 2007 4.149 8.533
## 1090 Mauritania 2008 4.248 8.501
## 1091 Mauritania 2009 4.500 8.473
## 1092 Mauritania 2010 4.772 8.470
## 1093 Mauritania 2011 4.785 8.481
## 1094 Mauritania 2012 4.673 8.495
## 1095 Mauritania 2013 4.199 8.506
## 1096 Mauritania 2014 4.483 8.519
## 1097 Mauritania 2015 3.923 8.542
## 1098 Mauritania 2016 4.472 8.526
## 1099 Mauritania 2017 4.678 8.533
## 1100 Mauritania 2018 4.314 8.526
## 1101 Mauritania 2019 4.153 8.556
## 1102 Mauritius 2011 5.477 9.767
## 1103 Mauritius 2014 5.648 9.865
## 1104 Mauritius 2016 5.610 9.935
## 1105 Mauritius 2017 6.174 9.972
## 1106 Mauritius 2018 5.882 10.008
## 1107 Mauritius 2019 6.241 10.043
## 1108 Mauritius 2020 6.015 9.972
## 1109 Mexico 2005 6.581 9.788
## 1110 Mexico 2007 6.525 9.825
## 1111 Mexico 2008 6.829 9.821
## 1112 Mexico 2009 6.963 9.752
## 1113 Mexico 2010 6.802 9.788
## 1114 Mexico 2011 6.910 9.810
## 1115 Mexico 2012 7.320 9.832
## 1116 Mexico 2013 7.443 9.832
## 1117 Mexico 2014 6.680 9.847
## 1118 Mexico 2015 6.236 9.867
## 1119 Mexico 2016 6.824 9.884
## 1120 Mexico 2017 6.410 9.893
## 1121 Mexico 2018 6.550 9.903
## 1122 Mexico 2019 6.432 9.891
## 1123 Mexico 2020 5.964 9.782
## 1124 Moldova 2006 5.102 8.936
## 1125 Moldova 2007 4.775 8.968
## 1126 Moldova 2008 5.503 9.045
## 1127 Moldova 2009 5.554 8.984
## 1128 Moldova 2010 5.590 9.054
## 1129 Moldova 2011 5.792 9.111
## 1130 Moldova 2012 5.996 9.105
## 1131 Moldova 2013 5.756 9.192
## 1132 Moldova 2014 5.917 9.241
## 1133 Moldova 2015 6.017 9.246
## 1134 Moldova 2016 5.578 9.300
## 1135 Moldova 2017 5.326 9.363
## 1136 Moldova 2018 5.682 9.423
## 1137 Moldova 2019 5.803 9.475
## 1138 Moldova 2020 5.812 9.462
## 1139 Mongolia 2007 4.609 8.833
## 1140 Mongolia 2008 4.493 8.904
## 1141 Mongolia 2010 4.586 8.920
## 1142 Mongolia 2011 5.031 9.061
## 1143 Mongolia 2012 4.885 9.158
## 1144 Mongolia 2013 4.913 9.248
## 1145 Mongolia 2014 4.825 9.304
## 1146 Mongolia 2015 4.983 9.308
## 1147 Mongolia 2016 5.057 9.300
## 1148 Mongolia 2017 5.334 9.334
## 1149 Mongolia 2018 5.465 9.386
## 1150 Mongolia 2019 5.563 9.418
## 1151 Mongolia 2020 6.011 9.396
## 1152 Montenegro 2007 5.196 9.693
## 1153 Montenegro 2009 4.801 9.699
## 1154 Montenegro 2010 5.455 9.724
## 1155 Montenegro 2011 5.223 9.755
## 1156 Montenegro 2012 5.219 9.726
## 1157 Montenegro 2013 5.074 9.760
## 1158 Montenegro 2014 5.283 9.777
## 1159 Montenegro 2015 5.125 9.810
## 1160 Montenegro 2016 5.304 9.839
## 1161 Montenegro 2017 5.615 9.885
## 1162 Montenegro 2018 5.650 9.934
## 1163 Montenegro 2019 5.386 9.970
## 1164 Montenegro 2020 5.722 9.913
## 1165 Morocco 2010 4.383 8.746
## 1166 Morocco 2011 5.085 8.783
## 1167 Morocco 2012 4.970 8.799
## 1168 Morocco 2013 5.142 8.829
## 1169 Morocco 2015 5.163 8.872
## 1170 Morocco 2016 5.386 8.869
## 1171 Morocco 2017 5.312 8.898
## 1172 Morocco 2018 4.897 8.914
## 1173 Morocco 2019 5.057 8.925
## 1174 Morocco 2020 4.803 8.871
## 1175 Mozambique 2006 4.595 6.776
## 1176 Mozambique 2007 4.833 6.823
## 1177 Mozambique 2008 4.654 6.865
## 1178 Mozambique 2011 4.971 6.979
## 1179 Mozambique 2015 4.550 7.141
## 1180 Mozambique 2017 4.280 7.157
## 1181 Mozambique 2018 4.654 7.162
## 1182 Mozambique 2019 4.932 7.155
## 1183 Myanmar 2012 4.439 8.158
## 1184 Myanmar 2013 4.176 8.230
## 1185 Myanmar 2014 4.786 8.299
## 1186 Myanmar 2015 4.224 8.359
## 1187 Myanmar 2016 4.623 8.408
## 1188 Myanmar 2017 4.154 8.464
## 1189 Myanmar 2018 4.411 8.523
## 1190 Myanmar 2019 4.434 8.545
## 1191 Myanmar 2020 4.431 8.554
## 1192 Namibia 2007 4.886 9.059
## 1193 Namibia 2014 4.574 9.232
## 1194 Namibia 2017 4.441 9.215
## 1195 Namibia 2018 4.834 9.204
## 1196 Namibia 2019 4.436 9.173
## 1197 Namibia 2020 4.451 9.104
## 1198 Nepal 2006 4.567 7.616
## 1199 Nepal 2007 4.748 7.638
## 1200 Nepal 2008 4.441 7.686
## 1201 Nepal 2009 4.917 7.723
## 1202 Nepal 2010 4.350 7.765
## 1203 Nepal 2011 3.809 7.797
## 1204 Nepal 2012 4.233 7.846
## 1205 Nepal 2013 4.605 7.889
## 1206 Nepal 2014 4.975 7.948
## 1207 Nepal 2015 4.812 7.976
## 1208 Nepal 2016 5.100 7.973
## 1209 Nepal 2017 4.737 8.039
## 1210 Nepal 2018 4.910 8.087
## 1211 Nepal 2019 5.449 8.136
## 1212 Netherlands 2005 7.464 10.814
## 1213 Netherlands 2007 7.452 10.881
## 1214 Netherlands 2008 7.631 10.899
## 1215 Netherlands 2010 7.502 10.864
## 1216 Netherlands 2011 7.564 10.875
## 1217 Netherlands 2012 7.471 10.861
## 1218 Netherlands 2013 7.407 10.857
## 1219 Netherlands 2014 7.321 10.867
## 1220 Netherlands 2015 7.324 10.882
## 1221 Netherlands 2016 7.541 10.899
## 1222 Netherlands 2017 7.459 10.921
## 1223 Netherlands 2018 7.463 10.941
## 1224 Netherlands 2019 7.425 10.953
## 1225 Netherlands 2020 7.504 10.901
## 1226 New Zealand 2006 7.305 10.526
## 1227 New Zealand 2007 7.604 10.546
## 1228 New Zealand 2008 7.381 10.528
## 1229 New Zealand 2010 7.224 10.520
## 1230 New Zealand 2011 7.191 10.536
## 1231 New Zealand 2012 7.250 10.553
## 1232 New Zealand 2013 7.280 10.571
## 1233 New Zealand 2014 7.306 10.592
## 1234 New Zealand 2015 7.418 10.608
## 1235 New Zealand 2016 7.226 10.623
## 1236 New Zealand 2017 7.327 10.633
## 1237 New Zealand 2018 7.370 10.660
## 1238 New Zealand 2019 7.205 10.666
## 1239 New Zealand 2020 7.257 10.600
## 1240 Nicaragua 2006 4.460 8.398
## 1241 Nicaragua 2007 4.944 8.434
## 1242 Nicaragua 2008 5.104 8.454
## 1243 Nicaragua 2009 5.353 8.407
## 1244 Nicaragua 2010 5.687 8.436
## 1245 Nicaragua 2011 5.386 8.484
## 1246 Nicaragua 2012 5.448 8.534
## 1247 Nicaragua 2013 5.772 8.569
## 1248 Nicaragua 2014 6.275 8.602
## 1249 Nicaragua 2015 5.924 8.636
## 1250 Nicaragua 2016 6.013 8.668
## 1251 Nicaragua 2017 6.476 8.700
## 1252 Nicaragua 2018 5.819 8.647
## 1253 Nicaragua 2019 6.113 8.595
## 1254 Niger 2006 3.737 6.888
## 1255 Niger 2007 4.277 6.881
## 1256 Niger 2008 4.236 6.918
## 1257 Niger 2009 4.267 6.898
## 1258 Niger 2010 4.101 6.941
## 1259 Niger 2011 4.556 6.925
## 1260 Niger 2012 3.798 6.987
## 1261 Niger 2013 3.716 7.002
## 1262 Niger 2014 4.181 7.027
## 1263 Niger 2015 3.671 7.030
## 1264 Niger 2016 4.235 7.047
## 1265 Niger 2017 4.616 7.058
## 1266 Niger 2018 5.164 7.087
## 1267 Niger 2019 5.004 7.106
## 1268 Nigeria 2006 4.710 8.326
## 1269 Nigeria 2007 4.890 8.364
## 1270 Nigeria 2008 4.939 8.403
## 1271 Nigeria 2009 4.980 8.453
## 1272 Nigeria 2010 4.760 8.504
## 1273 Nigeria 2012 5.493 8.543
## 1274 Nigeria 2013 4.818 8.581
## 1275 Nigeria 2015 4.933 8.615
## 1276 Nigeria 2016 5.220 8.573
## 1277 Nigeria 2017 5.322 8.555
## 1278 Nigeria 2018 5.252 8.548
## 1279 Nigeria 2019 4.356 8.544
## 1280 Nigeria 2020 5.503 8.484
## 1281 North Cyprus 2012 5.463 0.000
## 1282 North Cyprus 2013 5.567 0.000
## 1283 North Cyprus 2014 5.786 0.000
## 1284 North Cyprus 2015 5.843 0.000
## 1285 North Cyprus 2016 5.827 0.000
## 1286 North Cyprus 2018 5.608 0.000
## 1287 North Cyprus 2019 5.467 0.000
## 1288 North Macedonia 2007 4.494 9.416
## 1289 North Macedonia 2009 4.428 9.464
## 1290 North Macedonia 2010 4.180 9.496
## 1291 North Macedonia 2011 4.898 9.518
## 1292 North Macedonia 2012 4.640 9.513
## 1293 North Macedonia 2013 5.186 9.541
## 1294 North Macedonia 2014 5.204 9.576
## 1295 North Macedonia 2015 4.976 9.613
## 1296 North Macedonia 2016 5.346 9.640
## 1297 North Macedonia 2017 5.234 9.650
## 1298 North Macedonia 2018 5.240 9.677
## 1299 North Macedonia 2019 5.015 9.711
## 1300 North Macedonia 2020 5.054 9.690
## 1301 Norway 2006 7.416 11.031
## 1302 Norway 2008 7.632 11.042
## 1303 Norway 2012 7.678 11.017
## 1304 Norway 2014 7.444 11.024
## 1305 Norway 2015 7.603 11.033
## 1306 Norway 2016 7.596 11.035
## 1307 Norway 2017 7.579 11.050
## 1308 Norway 2018 7.444 11.056
## 1309 Norway 2019 7.442 11.061
## 1310 Norway 2020 7.290 11.042
## 1311 Oman 2011 6.853 10.382
## 1312 Pakistan 2005 5.225 8.218
## 1313 Pakistan 2007 5.671 8.277
## 1314 Pakistan 2008 4.414 8.271
## 1315 Pakistan 2009 5.208 8.277
## 1316 Pakistan 2010 5.786 8.270
## 1317 Pakistan 2011 5.267 8.276
## 1318 Pakistan 2012 5.132 8.289
## 1319 Pakistan 2013 5.138 8.311
## 1320 Pakistan 2014 5.436 8.336
## 1321 Pakistan 2015 4.823 8.361
## 1322 Pakistan 2016 5.549 8.394
## 1323 Pakistan 2017 5.831 8.428
## 1324 Pakistan 2018 5.472 8.464
## 1325 Pakistan 2019 4.443 8.453
## 1326 Palestinian Territories 2006 4.716 8.213
## 1327 Palestinian Territories 2007 4.151 8.218
## 1328 Palestinian Territories 2008 4.386 8.276
## 1329 Palestinian Territories 2009 4.470 8.329
## 1330 Palestinian Territories 2010 4.703 8.383
## 1331 Palestinian Territories 2011 4.751 8.474
## 1332 Palestinian Territories 2012 4.647 8.531
## 1333 Palestinian Territories 2013 4.844 8.489
## 1334 Palestinian Territories 2014 4.722 8.457
## 1335 Palestinian Territories 2015 4.695 8.480
## 1336 Palestinian Territories 2016 4.907 8.498
## 1337 Palestinian Territories 2017 4.628 8.485
## 1338 Palestinian Territories 2018 4.554 0.000
## 1339 Palestinian Territories 2019 4.483 0.000
## 1340 Panama 2006 6.128 9.764
## 1341 Panama 2007 6.894 9.859
## 1342 Panama 2008 6.931 9.935
## 1343 Panama 2009 7.034 9.930
## 1344 Panama 2010 7.321 9.969
## 1345 Panama 2011 7.248 10.059
## 1346 Panama 2012 6.860 10.135
## 1347 Panama 2013 6.866 10.184
## 1348 Panama 2014 6.631 10.217
## 1349 Panama 2015 6.606 10.255
## 1350 Panama 2016 6.118 10.287
## 1351 Panama 2017 6.568 10.324
## 1352 Panama 2018 6.281 10.343
## 1353 Panama 2019 6.086 10.356
## 1354 Paraguay 2006 4.730 9.088
## 1355 Paraguay 2007 5.272 9.126
## 1356 Paraguay 2008 5.570 9.174
## 1357 Paraguay 2009 5.576 9.158
## 1358 Paraguay 2010 5.841 9.250
## 1359 Paraguay 2011 5.677 9.278
## 1360 Paraguay 2012 5.820 9.259
## 1361 Paraguay 2013 5.936 9.326
## 1362 Paraguay 2014 5.119 9.360
## 1363 Paraguay 2015 5.560 9.377
## 1364 Paraguay 2016 5.801 9.406
## 1365 Paraguay 2017 5.713 9.441
## 1366 Paraguay 2019 5.653 9.448
## 1367 Peru 2006 4.811 8.989
## 1368 Peru 2007 5.214 9.063
## 1369 Peru 2008 5.129 9.142
## 1370 Peru 2009 5.519 9.145
## 1371 Peru 2010 5.613 9.217
## 1372 Peru 2011 5.892 9.270
## 1373 Peru 2012 5.825 9.322
## 1374 Peru 2013 5.783 9.369
## 1375 Peru 2014 5.866 9.382
## 1376 Peru 2015 5.577 9.402
## 1377 Peru 2016 5.701 9.426
## 1378 Peru 2017 5.711 9.434
## 1379 Peru 2018 5.680 9.456
## 1380 Peru 2019 5.999 9.461
## 1381 Philippines 2006 4.670 8.562
## 1382 Philippines 2007 5.074 8.608
## 1383 Philippines 2008 4.589 8.634
## 1384 Philippines 2009 4.880 8.632
## 1385 Philippines 2010 4.942 8.686
## 1386 Philippines 2011 4.994 8.707
## 1387 Philippines 2012 5.002 8.756
## 1388 Philippines 2013 4.977 8.805
## 1389 Philippines 2014 5.313 8.850
## 1390 Philippines 2015 5.547 8.896
## 1391 Philippines 2016 5.431 8.950
## 1392 Philippines 2017 5.594 9.002
## 1393 Philippines 2018 5.869 9.050
## 1394 Philippines 2019 6.268 9.095
## 1395 Philippines 2020 5.080 9.061
## 1396 Poland 2005 5.587 9.849
## 1397 Poland 2007 5.886 9.978
## 1398 Poland 2009 5.772 10.047
## 1399 Poland 2010 5.887 10.085
## 1400 Poland 2011 5.646 10.133
## 1401 Poland 2012 5.876 10.149
## 1402 Poland 2013 5.746 10.164
## 1403 Poland 2014 5.750 10.197
## 1404 Poland 2015 6.007 10.235
## 1405 Poland 2016 6.162 10.266
## 1406 Poland 2017 6.201 10.314
## 1407 Poland 2018 6.111 10.366
## 1408 Poland 2019 6.242 10.407
## 1409 Poland 2020 6.139 10.371
## 1410 Portugal 2006 5.405 10.360
## 1411 Portugal 2008 5.717 10.384
## 1412 Portugal 2010 5.095 10.368
## 1413 Portugal 2011 5.220 10.353
## 1414 Portugal 2012 4.994 10.315
## 1415 Portugal 2013 5.158 10.312
## 1416 Portugal 2014 5.127 10.325
## 1417 Portugal 2015 5.081 10.347
## 1418 Portugal 2016 5.447 10.370
## 1419 Portugal 2017 5.711 10.407
## 1420 Portugal 2018 5.920 10.434
## 1421 Portugal 2019 6.095 10.457
## 1422 Portugal 2020 5.768 10.371
## 1423 Qatar 2009 6.418 11.456
## 1424 Qatar 2010 6.850 11.520
## 1425 Qatar 2011 6.592 11.553
## 1426 Qatar 2012 6.611 11.523
## 1427 Qatar 2015 6.375 11.486
## 1428 Romania 2005 5.049 9.724
## 1429 Romania 2007 5.394 9.892
## 1430 Romania 2009 5.368 9.949
## 1431 Romania 2010 4.909 9.915
## 1432 Romania 2011 5.023 9.940
## 1433 Romania 2012 5.167 9.965
## 1434 Romania 2013 5.082 10.004
## 1435 Romania 2014 5.727 10.041
## 1436 Romania 2015 5.777 10.083
## 1437 Romania 2016 5.969 10.136
## 1438 Romania 2017 6.090 10.211
## 1439 Romania 2018 6.151 10.260
## 1440 Romania 2019 6.130 10.306
## 1441 Russia 2006 4.964 9.991
## 1442 Russia 2007 5.223 10.074
## 1443 Russia 2008 5.619 10.125
## 1444 Russia 2009 5.158 10.044
## 1445 Russia 2010 5.385 10.087
## 1446 Russia 2011 5.389 10.129
## 1447 Russia 2012 5.621 10.166
## 1448 Russia 2013 5.537 10.182
## 1449 Russia 2014 6.037 10.171
## 1450 Russia 2015 5.996 10.149
## 1451 Russia 2016 5.855 10.149
## 1452 Russia 2017 5.579 10.166
## 1453 Russia 2018 5.514 10.191
## 1454 Russia 2019 5.441 10.205
## 1455 Russia 2020 5.495 10.162
## 1456 Rwanda 2006 4.215 7.111
## 1457 Rwanda 2008 4.363 7.239
## 1458 Rwanda 2009 4.030 7.273
## 1459 Rwanda 2011 4.097 7.369
## 1460 Rwanda 2012 3.333 7.428
## 1461 Rwanda 2013 3.466 7.449
## 1462 Rwanda 2014 3.596 7.484
## 1463 Rwanda 2015 3.483 7.544
## 1464 Rwanda 2016 3.333 7.576
## 1465 Rwanda 2017 3.108 7.588
## 1466 Rwanda 2018 3.561 7.644
## 1467 Rwanda 2019 3.268 7.708
## 1468 Saudi Arabia 2005 7.080 10.699
## 1469 Saudi Arabia 2007 7.267 10.689
## 1470 Saudi Arabia 2008 6.811 10.722
## 1471 Saudi Arabia 2009 6.148 10.673
## 1472 Saudi Arabia 2010 6.307 10.693
## 1473 Saudi Arabia 2011 6.700 10.758
## 1474 Saudi Arabia 2012 6.396 10.779
## 1475 Saudi Arabia 2013 6.495 10.776
## 1476 Saudi Arabia 2014 6.278 10.783
## 1477 Saudi Arabia 2015 6.345 10.798
## 1478 Saudi Arabia 2016 6.474 10.792
## 1479 Saudi Arabia 2017 6.294 10.764
## 1480 Saudi Arabia 2018 6.356 10.771
## 1481 Saudi Arabia 2019 6.561 10.757
## 1482 Saudi Arabia 2020 6.560 10.701
## 1483 Senegal 2006 4.417 7.881
## 1484 Senegal 2007 4.680 7.903
## 1485 Senegal 2008 4.683 7.916
## 1486 Senegal 2009 4.335 7.909
## 1487 Senegal 2010 4.372 7.917
## 1488 Senegal 2011 3.834 7.904
## 1489 Senegal 2012 3.669 7.926
## 1490 Senegal 2013 3.647 7.926
## 1491 Senegal 2014 4.395 7.961
## 1492 Senegal 2015 4.617 7.995
## 1493 Senegal 2016 4.595 8.029
## 1494 Senegal 2017 4.683 8.072
## 1495 Senegal 2018 4.769 8.106
## 1496 Senegal 2019 5.489 8.130
## 1497 Serbia 2007 4.750 9.532
## 1498 Serbia 2009 4.380 9.568
## 1499 Serbia 2010 4.461 9.579
## 1500 Serbia 2011 4.815 9.607
## 1501 Serbia 2012 5.155 9.605
## 1502 Serbia 2013 5.102 9.638
## 1503 Serbia 2014 5.113 9.627
## 1504 Serbia 2015 5.318 9.649
## 1505 Serbia 2016 5.753 9.688
## 1506 Serbia 2017 5.122 9.713
## 1507 Serbia 2018 5.936 9.762
## 1508 Serbia 2019 6.241 9.808
## 1509 Serbia 2020 6.042 9.788
## 1510 Sierra Leone 2006 3.628 7.136
## 1511 Sierra Leone 2007 3.585 7.187
## 1512 Sierra Leone 2008 2.997 7.215
## 1513 Sierra Leone 2010 4.134 7.254
## 1514 Sierra Leone 2011 4.502 7.292
## 1515 Sierra Leone 2013 4.514 7.577
## 1516 Sierra Leone 2014 4.500 7.600
## 1517 Sierra Leone 2015 4.909 7.347
## 1518 Sierra Leone 2016 4.733 7.384
## 1519 Sierra Leone 2017 4.090 7.404
## 1520 Sierra Leone 2018 4.306 7.417
## 1521 Sierra Leone 2019 3.447 7.449
## 1522 Singapore 2006 6.463 11.168
## 1523 Singapore 2007 6.834 11.212
## 1524 Singapore 2008 6.642 11.178
## 1525 Singapore 2009 6.145 11.149
## 1526 Singapore 2010 6.531 11.267
## 1527 Singapore 2011 6.561 11.307
## 1528 Singapore 2013 6.533 11.357
## 1529 Singapore 2014 7.062 11.383
## 1530 Singapore 2015 6.620 11.400
## 1531 Singapore 2016 6.033 11.419
## 1532 Singapore 2017 6.378 11.461
## 1533 Singapore 2018 6.375 11.490
## 1534 Singapore 2019 6.378 11.486
## 1535 Slovakia 2006 5.265 10.015
## 1536 Slovakia 2010 6.052 10.169
## 1537 Slovakia 2011 5.945 10.196
## 1538 Slovakia 2012 5.911 10.213
## 1539 Slovakia 2013 5.937 10.218
## 1540 Slovakia 2014 6.139 10.244
## 1541 Slovakia 2015 6.162 10.291
## 1542 Slovakia 2016 5.993 10.310
## 1543 Slovakia 2017 6.366 10.339
## 1544 Slovakia 2018 6.235 10.376
## 1545 Slovakia 2019 6.243 10.398
## 1546 Slovakia 2020 6.519 10.332
## 1547 Slovenia 2006 5.811 10.403
## 1548 Slovenia 2009 5.830 10.410
## 1549 Slovenia 2010 6.083 10.419
## 1550 Slovenia 2011 6.036 10.426
## 1551 Slovenia 2012 6.063 10.397
## 1552 Slovenia 2013 5.975 10.385
## 1553 Slovenia 2014 5.678 10.412
## 1554 Slovenia 2015 5.741 10.433
## 1555 Slovenia 2016 5.937 10.463
## 1556 Slovenia 2017 6.167 10.509
## 1557 Slovenia 2018 6.249 10.546
## 1558 Slovenia 2019 6.665 10.563
## 1559 Slovenia 2020 6.462 10.478
## 1560 Somalia 2014 5.528 0.000
## 1561 Somalia 2015 5.354 0.000
## 1562 Somalia 2016 4.668 0.000
## 1563 Somaliland region 2009 4.991 0.000
## 1564 Somaliland region 2010 4.657 0.000
## 1565 Somaliland region 2011 4.931 0.000
## 1566 Somaliland region 2012 5.057 0.000
## 1567 South Africa 2006 5.084 9.386
## 1568 South Africa 2007 5.204 9.426
## 1569 South Africa 2008 5.346 9.444
## 1570 South Africa 2009 5.218 9.414
## 1571 South Africa 2010 4.652 9.430
## 1572 South Africa 2011 4.931 9.447
## 1573 South Africa 2012 5.134 9.453
## 1574 South Africa 2013 3.661 9.461
## 1575 South Africa 2014 4.828 9.464
## 1576 South Africa 2015 4.887 9.460
## 1577 South Africa 2016 4.770 9.450
## 1578 South Africa 2017 4.514 9.450
## 1579 South Africa 2018 4.884 9.444
## 1580 South Africa 2019 5.035 9.432
## 1581 South Africa 2020 4.947 9.332
## 1582 South Korea 2006 5.332 10.310
## 1583 South Korea 2007 5.767 10.361
## 1584 South Korea 2008 5.390 10.383
## 1585 South Korea 2009 5.648 10.386
## 1586 South Korea 2010 6.116 10.447
## 1587 South Korea 2011 6.947 10.475
## 1588 South Korea 2012 6.003 10.494
## 1589 South Korea 2013 5.959 10.520
## 1590 South Korea 2014 5.801 10.546
## 1591 South Korea 2015 5.780 10.568
## 1592 South Korea 2016 5.971 10.593
## 1593 South Korea 2017 5.874 10.621
## 1594 South Korea 2018 5.840 10.643
## 1595 South Korea 2019 5.903 10.661
## 1596 South Korea 2020 5.793 10.648
## 1597 South Sudan 2014 3.832 0.000
## 1598 South Sudan 2015 4.071 0.000
## 1599 South Sudan 2016 2.888 0.000
## 1600 South Sudan 2017 2.817 0.000
## 1601 Spain 2005 7.153 10.546
## 1602 Spain 2007 6.995 10.587
## 1603 Spain 2008 7.294 10.579
## 1604 Spain 2009 6.199 10.532
## 1605 Spain 2010 6.188 10.529
## 1606 Spain 2011 6.518 10.518
## 1607 Spain 2012 6.291 10.487
## 1608 Spain 2013 6.150 10.476
## 1609 Spain 2014 6.456 10.492
## 1610 Spain 2015 6.381 10.531
## 1611 Spain 2016 6.319 10.560
## 1612 Spain 2017 6.230 10.586
## 1613 Spain 2018 6.513 10.605
## 1614 Spain 2019 6.457 10.618
## 1615 Spain 2020 6.502 10.488
## 1616 Sri Lanka 2006 4.345 8.912
## 1617 Sri Lanka 2007 4.415 8.970
## 1618 Sri Lanka 2008 4.431 9.021
## 1619 Sri Lanka 2009 4.212 9.049
## 1620 Sri Lanka 2010 3.977 9.119
## 1621 Sri Lanka 2011 4.181 9.193
## 1622 Sri Lanka 2012 4.225 9.279
## 1623 Sri Lanka 2013 4.365 9.305
## 1624 Sri Lanka 2014 4.268 9.344
## 1625 Sri Lanka 2015 4.612 9.383
## 1626 Sri Lanka 2017 4.331 9.440
## 1627 Sri Lanka 2018 4.435 9.462
## 1628 Sri Lanka 2019 4.213 9.479
## 1629 Sudan 2009 4.455 8.106
## 1630 Sudan 2010 4.435 8.076
## 1631 Sudan 2011 4.314 8.204
## 1632 Sudan 2012 4.550 8.296
## 1633 Sudan 2014 4.139 8.317
## 1634 Suriname 2012 6.269 9.797
## 1635 Swaziland 2011 4.867 8.940
## 1636 Swaziland 2018 4.212 9.060
## 1637 Swaziland 2019 4.396 9.070
## 1638 Sweden 2005 7.376 10.739
## 1639 Sweden 2007 7.241 10.806
## 1640 Sweden 2008 7.516 10.793
## 1641 Sweden 2009 7.266 10.740
## 1642 Sweden 2010 7.496 10.790
## 1643 Sweden 2011 7.382 10.814
## 1644 Sweden 2012 7.560 10.800
## 1645 Sweden 2013 7.434 10.804
## 1646 Sweden 2014 7.239 10.820
## 1647 Sweden 2015 7.289 10.853
## 1648 Sweden 2016 7.369 10.861
## 1649 Sweden 2017 7.287 10.873
## 1650 Sweden 2018 7.375 10.881
## 1651 Sweden 2019 7.398 10.882
## 1652 Sweden 2020 7.314 10.838
## 1653 Switzerland 2006 7.473 11.050
## 1654 Switzerland 2009 7.525 11.055
## 1655 Switzerland 2012 7.776 11.079
## 1656 Switzerland 2014 7.493 11.098
## 1657 Switzerland 2015 7.572 11.100
## 1658 Switzerland 2016 7.459 11.106
## 1659 Switzerland 2017 7.474 11.115
## 1660 Switzerland 2018 7.509 11.134
## 1661 Switzerland 2019 7.694 11.136
## 1662 Switzerland 2020 7.508 11.081
## 1663 Syria 2008 5.323 8.652
## 1664 Syria 2009 4.979 8.654
## 1665 Syria 2010 4.465 8.729
## 1666 Syria 2011 4.038 8.727
## 1667 Syria 2012 3.164 8.563
## 1668 Syria 2013 2.688 8.396
## 1669 Syria 2015 3.462 8.442
## 1670 Taiwan Province of China 2006 6.189 10.613
## 1671 Taiwan Province of China 2008 5.548 10.606
## 1672 Taiwan Province of China 2010 6.229 10.691
## 1673 Taiwan Province of China 2011 6.309 10.705
## 1674 Taiwan Province of China 2012 6.126 10.716
## 1675 Taiwan Province of China 2013 6.340 10.750
## 1676 Taiwan Province of China 2014 6.363 10.798
## 1677 Taiwan Province of China 2015 6.450 10.842
## 1678 Taiwan Province of China 2016 6.513 10.855
## 1679 Taiwan Province of China 2017 6.359 10.871
## 1680 Taiwan Province of China 2018 6.467 0.000
## 1681 Taiwan Province of China 2019 6.537 0.000
## 1682 Taiwan Province of China 2020 6.751 0.000
## 1683 Tajikistan 2006 4.613 7.554
## 1684 Tajikistan 2007 4.432 7.609
## 1685 Tajikistan 2008 5.064 7.665
## 1686 Tajikistan 2009 4.575 7.682
## 1687 Tajikistan 2010 4.381 7.723
## 1688 Tajikistan 2011 4.263 7.772
## 1689 Tajikistan 2012 4.497 7.821
## 1690 Tajikistan 2013 4.967 7.870
## 1691 Tajikistan 2014 4.896 7.911
## 1692 Tajikistan 2015 5.124 7.945
## 1693 Tajikistan 2016 5.104 7.987
## 1694 Tajikistan 2017 5.829 8.036
## 1695 Tajikistan 2018 5.497 8.082
## 1696 Tajikistan 2019 5.464 8.126
## 1697 Tajikistan 2020 5.373 8.080
## 1698 Tanzania 2006 3.922 7.485
## 1699 Tanzania 2007 4.318 7.522
## 1700 Tanzania 2008 4.385 7.549
## 1701 Tanzania 2009 3.408 7.572
## 1702 Tanzania 2010 3.229 7.604
## 1703 Tanzania 2011 4.074 7.649
## 1704 Tanzania 2012 4.007 7.663
## 1705 Tanzania 2013 3.852 7.699
## 1706 Tanzania 2014 3.483 7.734
## 1707 Tanzania 2015 3.661 7.764
## 1708 Tanzania 2016 2.903 7.800
## 1709 Tanzania 2017 3.347 7.836
## 1710 Tanzania 2018 3.445 7.859
## 1711 Tanzania 2019 3.640 7.886
## 1712 Tanzania 2020 3.786 7.881
## 1713 Thailand 2006 5.885 9.461
## 1714 Thailand 2007 5.784 9.508
## 1715 Thailand 2008 5.636 9.520
## 1716 Thailand 2009 5.476 9.508
## 1717 Thailand 2010 6.217 9.576
## 1718 Thailand 2011 6.664 9.579
## 1719 Thailand 2012 6.300 9.645
## 1720 Thailand 2013 6.231 9.667
## 1721 Thailand 2014 6.985 9.672
## 1722 Thailand 2015 6.202 9.699
## 1723 Thailand 2016 6.074 9.729
## 1724 Thailand 2017 5.939 9.765
## 1725 Thailand 2018 6.012 9.803
## 1726 Thailand 2019 6.022 9.824
## 1727 Thailand 2020 5.885 9.769
## 1728 Togo 2006 3.202 7.078
## 1729 Togo 2008 2.808 7.052
## 1730 Togo 2011 2.936 7.146
## 1731 Togo 2014 2.839 7.247
## 1732 Togo 2015 3.768 7.277
## 1733 Togo 2016 3.879 7.306
## 1734 Togo 2017 4.361 7.324
## 1735 Togo 2018 4.023 7.348
## 1736 Togo 2019 4.179 7.375
## 1737 Trinidad and Tobago 2006 5.832 10.224
## 1738 Trinidad and Tobago 2008 6.696 10.295
## 1739 Trinidad and Tobago 2011 6.519 10.263
## 1740 Trinidad and Tobago 2013 6.168 10.285
## 1741 Trinidad and Tobago 2017 6.192 10.183
## 1742 Tunisia 2009 5.025 9.197
## 1743 Tunisia 2010 5.131 9.222
## 1744 Tunisia 2011 4.876 9.192
## 1745 Tunisia 2012 4.464 9.222
## 1746 Tunisia 2013 5.246 9.240
## 1747 Tunisia 2014 4.764 9.260
## 1748 Tunisia 2015 5.132 9.261
## 1749 Tunisia 2016 4.521 9.262
## 1750 Tunisia 2017 4.124 9.269
## 1751 Tunisia 2018 4.741 9.284
## 1752 Tunisia 2019 4.315 9.283
## 1753 Tunisia 2020 4.731 9.231
## 1754 Turkey 2005 4.719 9.809
## 1755 Turkey 2007 5.623 9.903
## 1756 Turkey 2008 5.118 9.899
## 1757 Turkey 2009 5.213 9.838
## 1758 Turkey 2010 5.490 9.906
## 1759 Turkey 2011 5.272 9.996
## 1760 Turkey 2012 5.309 10.026
## 1761 Turkey 2013 4.888 10.091
## 1762 Turkey 2014 5.580 10.124
## 1763 Turkey 2015 5.514 10.166
## 1764 Turkey 2016 5.326 10.181
## 1765 Turkey 2017 5.607 10.238
## 1766 Turkey 2018 5.186 10.251
## 1767 Turkey 2019 4.872 10.246
## 1768 Turkey 2020 4.862 10.219
## 1769 Turkmenistan 2009 6.568 8.989
## 1770 Turkmenistan 2011 5.792 9.182
## 1771 Turkmenistan 2012 5.464 9.269
## 1772 Turkmenistan 2013 5.392 9.348
## 1773 Turkmenistan 2014 5.787 9.427
## 1774 Turkmenistan 2015 5.791 9.472
## 1775 Turkmenistan 2016 5.887 9.515
## 1776 Turkmenistan 2017 5.229 9.561
## 1777 Turkmenistan 2018 4.621 9.605
## 1778 Turkmenistan 2019 5.474 9.651
## 1779 Uganda 2006 3.734 7.370
## 1780 Uganda 2007 4.456 7.419
## 1781 Uganda 2008 4.569 7.471
## 1782 Uganda 2009 4.612 7.505
## 1783 Uganda 2010 4.193 7.528
## 1784 Uganda 2011 4.826 7.586
## 1785 Uganda 2012 4.309 7.592
## 1786 Uganda 2013 3.710 7.595
## 1787 Uganda 2014 3.770 7.611
## 1788 Uganda 2015 4.238 7.627
## 1789 Uganda 2016 4.233 7.637
## 1790 Uganda 2017 4.001 7.638
## 1791 Uganda 2018 4.322 7.660
## 1792 Uganda 2019 4.948 7.688
## 1793 Uganda 2020 4.641 7.684
## 1794 Ukraine 2006 4.804 9.380
## 1795 Ukraine 2007 5.252 9.459
## 1796 Ukraine 2008 5.172 9.488
## 1797 Ukraine 2009 5.166 9.332
## 1798 Ukraine 2010 5.058 9.374
## 1799 Ukraine 2011 5.083 9.431
## 1800 Ukraine 2012 5.030 9.436
## 1801 Ukraine 2013 4.711 9.438
## 1802 Ukraine 2014 4.297 9.426
## 1803 Ukraine 2015 3.965 9.327
## 1804 Ukraine 2016 4.029 9.353
## 1805 Ukraine 2017 4.311 9.382
## 1806 Ukraine 2018 4.662 9.420
## 1807 Ukraine 2019 4.702 9.458
## 1808 Ukraine 2020 5.270 9.428
## 1809 United Arab Emirates 2006 6.734 11.367
## 1810 United Arab Emirates 2009 6.866 10.975
## 1811 United Arab Emirates 2010 7.097 10.914
## 1812 United Arab Emirates 2011 7.119 10.935
## 1813 United Arab Emirates 2012 7.218 10.958
## 1814 United Arab Emirates 2013 6.621 11.001
## 1815 United Arab Emirates 2014 6.540 11.041
## 1816 United Arab Emirates 2015 6.568 11.086
## 1817 United Arab Emirates 2016 6.831 11.105
## 1818 United Arab Emirates 2017 7.039 11.115
## 1819 United Arab Emirates 2018 6.604 11.112
## 1820 United Arab Emirates 2019 6.711 11.114
## 1821 United Arab Emirates 2020 6.458 11.053
## 1822 United Kingdom 2005 6.984 10.663
## 1823 United Kingdom 2007 6.802 10.699
## 1824 United Kingdom 2008 6.986 10.689
## 1825 United Kingdom 2009 6.907 10.638
## 1826 United Kingdom 2010 7.029 10.649
## 1827 United Kingdom 2011 6.869 10.657
## 1828 United Kingdom 2012 6.881 10.664
## 1829 United Kingdom 2013 6.918 10.679
## 1830 United Kingdom 2014 6.758 10.697
## 1831 United Kingdom 2015 6.515 10.712
## 1832 United Kingdom 2016 6.824 10.724
## 1833 United Kingdom 2017 7.103 10.736
## 1834 United Kingdom 2018 7.233 10.743
## 1835 United Kingdom 2019 7.157 10.751
## 1836 United Kingdom 2020 6.798 10.626
## 1837 United States 2006 7.182 10.924
## 1838 United States 2007 7.513 10.933
## 1839 United States 2008 7.280 10.922
## 1840 United States 2009 7.158 10.888
## 1841 United States 2010 7.164 10.905
## 1842 United States 2011 7.115 10.913
## 1843 United States 2012 7.026 10.928
## 1844 United States 2013 7.249 10.939
## 1845 United States 2014 7.151 10.956
## 1846 United States 2015 6.864 10.977
## 1847 United States 2016 6.804 10.986
## 1848 United States 2017 6.992 11.001
## 1849 United States 2018 6.883 11.025
## 1850 United States 2019 6.944 11.043
## 1851 United States 2020 7.028 11.001
## 1852 Uruguay 2006 5.786 9.543
## 1853 Uruguay 2007 5.694 9.604
## 1854 Uruguay 2008 5.664 9.671
## 1855 Uruguay 2009 6.296 9.710
## 1856 Uruguay 2010 6.062 9.782
## 1857 Uruguay 2011 6.554 9.830
## 1858 Uruguay 2012 6.450 9.861
## 1859 Uruguay 2013 6.444 9.904
## 1860 Uruguay 2014 6.561 9.932
## 1861 Uruguay 2015 6.628 9.932
## 1862 Uruguay 2016 6.171 9.946
## 1863 Uruguay 2017 6.336 9.968
## 1864 Uruguay 2018 6.372 9.980
## 1865 Uruguay 2019 6.600 9.979
## 1866 Uruguay 2020 6.310 9.937
## 1867 Uzbekistan 2006 5.232 8.193
## 1868 Uzbekistan 2008 5.311 8.339
## 1869 Uzbekistan 2009 5.261 8.400
## 1870 Uzbekistan 2010 5.095 8.445
## 1871 Uzbekistan 2011 5.739 8.493
## 1872 Uzbekistan 2012 6.019 8.550
## 1873 Uzbekistan 2013 5.940 8.607
## 1874 Uzbekistan 2014 6.049 8.659
## 1875 Uzbekistan 2015 5.972 8.714
## 1876 Uzbekistan 2016 5.893 8.756
## 1877 Uzbekistan 2017 6.421 8.782
## 1878 Uzbekistan 2018 6.205 8.818
## 1879 Uzbekistan 2019 6.154 8.853
## 1880 Venezuela 2005 7.170 9.313
## 1881 Venezuela 2006 6.525 9.460
## 1882 Venezuela 2008 6.258 9.701
## 1883 Venezuela 2009 7.189 9.542
## 1884 Venezuela 2010 7.478 9.717
## 1885 Venezuela 2011 6.580 9.822
## 1886 Venezuela 2012 7.067 9.826
## 1887 Venezuela 2013 6.553 9.739
## 1888 Venezuela 2014 6.136 9.557
## 1889 Venezuela 2015 5.569 9.001
## 1890 Venezuela 2016 4.041 9.010
## 1891 Venezuela 2017 5.071 9.073
## 1892 Venezuela 2018 5.006 0.000
## 1893 Venezuela 2019 5.081 0.000
## 1894 Venezuela 2020 4.574 0.000
## 1895 Vietnam 2006 5.294 8.335
## 1896 Vietnam 2007 5.422 8.394
## 1897 Vietnam 2008 5.480 8.440
## 1898 Vietnam 2009 5.304 8.483
## 1899 Vietnam 2010 5.296 8.535
## 1900 Vietnam 2011 5.767 8.585
## 1901 Vietnam 2012 5.535 8.626
## 1902 Vietnam 2013 5.023 8.668
## 1903 Vietnam 2014 5.085 8.716
## 1904 Vietnam 2015 5.076 8.770
## 1905 Vietnam 2016 5.062 8.820
## 1906 Vietnam 2017 5.175 8.876
## 1907 Vietnam 2018 5.296 8.934
## 1908 Vietnam 2019 5.467 8.992
## 1909 Yemen 2007 4.477 8.214
## 1910 Yemen 2009 4.809 8.278
## 1911 Yemen 2010 4.350 8.453
## 1912 Yemen 2011 3.746 8.336
## 1913 Yemen 2012 4.061 8.236
## 1914 Yemen 2013 4.218 8.242
## 1915 Yemen 2014 3.968 8.117
## 1916 Yemen 2015 2.983 7.858
## 1917 Yemen 2016 3.826 7.715
## 1918 Yemen 2017 3.254 7.578
## 1919 Yemen 2018 3.058 0.000
## 1920 Yemen 2019 4.197 0.000
## 1921 Zambia 2006 4.824 7.817
## 1922 Zambia 2007 3.998 7.871
## 1923 Zambia 2008 4.730 7.918
## 1924 Zambia 2009 5.260 7.978
## 1925 Zambia 2011 4.999 8.071
## 1926 Zambia 2012 5.013 8.114
## 1927 Zambia 2013 5.244 8.131
## 1928 Zambia 2014 4.346 8.146
## 1929 Zambia 2015 4.843 8.144
## 1930 Zambia 2016 4.348 8.151
## 1931 Zambia 2017 3.933 8.156
## 1932 Zambia 2018 4.041 8.167
## 1933 Zambia 2019 3.307 8.155
## 1934 Zambia 2020 4.838 8.117
## 1935 Zimbabwe 2006 3.826 7.711
## 1936 Zimbabwe 2007 3.280 7.666
## 1937 Zimbabwe 2008 3.174 7.461
## 1938 Zimbabwe 2009 4.056 7.563
## 1939 Zimbabwe 2010 4.682 7.729
## 1940 Zimbabwe 2011 4.846 7.846
## 1941 Zimbabwe 2012 4.955 7.983
## 1942 Zimbabwe 2013 4.690 7.985
## 1943 Zimbabwe 2014 4.184 7.991
## 1944 Zimbabwe 2015 3.703 7.992
## 1945 Zimbabwe 2016 3.735 7.984
## 1946 Zimbabwe 2017 3.638 8.016
## 1947 Zimbabwe 2018 3.616 8.049
## 1948 Zimbabwe 2019 2.694 7.950
## 1949 Zimbabwe 2020 3.160 7.829
## Social.support Healthy.life.expectancy.at.birth
## 1 0.451 50.800
## 2 0.552 51.200
## 3 0.539 51.600
## 4 0.521 51.920
## 5 0.521 52.240
## 6 0.484 52.560
## 7 0.526 52.880
## 8 0.529 53.200
## 9 0.559 53.000
## 10 0.491 52.800
## 11 0.508 52.600
## 12 0.420 52.400
## 13 0.821 65.800
## 14 0.833 66.200
## 15 0.733 66.400
## 16 0.759 66.680
## 17 0.785 66.960
## 18 0.759 67.240
## 19 0.626 67.520
## 20 0.639 67.800
## 21 0.638 68.100
## 22 0.638 68.400
## 23 0.684 68.700
## 24 0.686 69.000
## 25 0.710 69.300
## 26 0.000 64.500
## 27 0.810 64.660
## 28 0.839 64.820
## 29 0.818 65.140
## 30 0.749 65.500
## 31 0.807 65.700
## 32 0.799 65.900
## 33 0.803 66.100
## 34 0.723 52.500
## 35 0.753 53.200
## 36 0.722 53.900
## 37 0.755 54.600
## 38 0.938 66.820
## 39 0.862 66.940
## 40 0.892 67.060
## 41 0.919 67.180
## 42 0.927 67.300
## 43 0.889 67.480
## 44 0.902 67.660
## 45 0.910 67.840
## 46 0.918 68.020
## 47 0.926 68.200
## 48 0.883 68.400
## 49 0.907 68.600
## 50 0.900 68.800
## 51 0.896 69.000
## 52 0.897 69.200
## 53 0.682 64.800
## 54 0.760 64.900
## 55 0.709 65.000
## 56 0.680 65.100
## 57 0.660 65.200
## 58 0.705 65.360
## 59 0.676 65.520
## 60 0.723 65.680
## 61 0.739 65.840
## 62 0.723 66.000
## 63 0.709 66.300
## 64 0.698 66.600
## 65 0.814 66.900
## 66 0.782 67.200
## 67 0.968 71.400
## 68 0.965 71.720
## 69 0.947 71.880
## 70 0.955 72.200
## 71 0.967 72.300
## 72 0.945 72.400
## 73 0.928 72.500
## 74 0.924 72.600
## 75 0.952 72.700
## 76 0.942 73.000
## 77 0.950 73.300
## 78 0.940 73.600
## 79 0.943 73.900
## 80 0.937 74.200
## 81 0.936 70.760
## 82 0.935 71.080
## 83 0.914 71.400
## 84 0.944 71.540
## 85 0.945 71.680
## 86 0.950 71.820
## 87 0.899 71.960
## 88 0.928 72.100
## 89 0.926 72.400
## 90 0.906 72.700
## 91 0.912 73.000
## 92 0.964 73.300
## 93 0.925 73.600
## 94 0.854 61.880
## 95 0.753 62.260
## 96 0.684 62.640
## 97 0.736 63.020
## 98 0.687 63.400
## 99 0.725 63.640
## 100 0.762 63.880
## 101 0.770 64.120
## 102 0.799 64.360
## 103 0.786 64.600
## 104 0.777 64.900
## 105 0.787 65.200
## 106 0.781 65.500
## 107 0.887 65.800
## 108 0.904 65.940
## 109 0.877 66.300
## 110 0.908 66.580
## 111 0.911 66.860
## 112 0.884 67.140
## 113 0.000 67.420
## 114 0.853 67.700
## 115 0.863 68.100
## 116 0.876 68.500
## 117 0.878 69.300
## 118 0.848 69.700
## 119 0.672 59.020
## 120 0.514 59.440
## 121 0.467 59.860
## 122 0.528 60.280
## 123 0.549 60.700
## 124 0.606 61.120
## 125 0.582 61.540
## 126 0.530 61.960
## 127 0.577 62.380
## 128 0.601 62.800
## 129 0.649 63.300
## 130 0.713 63.800
## 131 0.706 64.300
## 132 0.673 64.800
## 133 0.739 65.300
## 134 0.918 61.100
## 135 0.858 61.400
## 136 0.904 61.700
## 137 0.908 62.000
## 138 0.918 62.300
## 139 0.910 62.880
## 140 0.902 63.460
## 141 0.923 64.040
## 142 0.880 64.620
## 143 0.924 65.200
## 144 0.927 65.500
## 145 0.900 65.800
## 146 0.905 66.100
## 147 0.917 66.400
## 148 0.935 69.900
## 149 0.922 70.260
## 150 0.923 70.440
## 151 0.931 70.800
## 152 0.937 70.920
## 153 0.927 71.040
## 154 0.909 71.160
## 155 0.944 71.280
## 156 0.885 71.400
## 157 0.929 71.600
## 158 0.922 71.800
## 159 0.930 72.000
## 160 0.884 72.200
## 161 0.904 72.400
## 162 0.872 61.600
## 163 0.757 62.220
## 164 0.445 50.100
## 165 0.382 50.900
## 166 0.477 51.980
## 167 0.523 52.260
## 168 0.577 52.540
## 169 0.506 52.820
## 170 0.434 53.100
## 171 0.493 53.500
## 172 0.436 53.900
## 173 0.504 54.300
## 174 0.442 54.700
## 175 0.507 55.100
## 176 0.819 59.600
## 177 0.880 59.900
## 178 0.848 60.200
## 179 0.834 59.000
## 180 0.796 59.500
## 181 0.785 60.000
## 182 0.831 60.500
## 183 0.807 61.000
## 184 0.817 61.340
## 185 0.781 61.680
## 186 0.803 62.020
## 187 0.821 62.360
## 188 0.829 62.700
## 189 0.796 63.000
## 190 0.779 63.300
## 191 0.827 63.600
## 192 0.784 63.900
## 193 0.805 64.200
## 194 0.766 66.040
## 195 0.735 66.480
## 196 0.773 66.700
## 197 0.725 66.740
## 198 0.779 66.780
## 199 0.767 66.820
## 200 0.788 66.860
## 201 0.656 66.900
## 202 0.808 67.200
## 203 0.775 67.500
## 204 0.836 67.800
## 205 0.873 68.100
## 206 0.899 68.400
## 207 0.883 46.820
## 208 0.832 49.860
## 209 0.866 52.900
## 210 0.860 53.680
## 211 0.837 54.460
## 212 0.856 55.240
## 213 0.859 56.020
## 214 0.816 56.800
## 215 0.768 57.500
## 216 0.768 58.200
## 217 0.795 58.900
## 218 0.774 59.600
## 219 0.883 63.300
## 220 0.886 63.780
## 221 0.878 64.020
## 222 0.913 64.260
## 223 0.906 64.500
## 224 0.916 64.760
## 225 0.890 65.020
## 226 0.910 65.280
## 227 0.898 65.540
## 228 0.907 65.800
## 229 0.912 66.000
## 230 0.905 66.200
## 231 0.882 66.400
## 232 0.899 66.600
## 233 0.831 66.800
## 234 0.832 65.100
## 235 0.843 65.700
## 236 0.860 65.800
## 237 0.838 65.900
## 238 0.829 66.000
## 239 0.886 66.100
## 240 0.908 66.200
## 241 0.926 66.400
## 242 0.942 66.600
## 243 0.924 66.800
## 244 0.948 67.000
## 245 0.916 67.200
## 246 0.796 46.660
## 247 0.771 47.420
## 248 0.727 48.180
## 249 0.773 49.700
## 250 0.710 50.240
## 251 0.744 50.780
## 252 0.745 51.320
## 253 0.742 51.860
## 254 0.705 52.400
## 255 0.764 52.900
## 256 0.785 53.400
## 257 0.665 53.900
## 258 0.683 54.400
## 259 0.291 49.020
## 260 0.326 49.660
## 261 0.422 50.680
## 262 0.565 51.820
## 263 0.485 53.400
## 264 0.793 55.300
## 265 0.675 56.100
## 266 0.619 56.900
## 267 0.818 57.700
## 268 0.697 58.500
## 269 0.716 58.880
## 270 0.606 59.260
## 271 0.651 59.640
## 272 0.693 60.020
## 273 0.729 60.400
## 274 0.746 60.800
## 275 0.765 61.200
## 276 0.795 61.600
## 277 0.759 62.000
## 278 0.724 62.400
## 279 0.690 45.980
## 280 0.717 46.560
## 281 0.697 47.140
## 282 0.729 47.720
## 283 0.759 48.300
## 284 0.738 48.700
## 285 0.743 49.100
## 286 0.760 49.500
## 287 0.778 49.900
## 288 0.646 50.300
## 289 0.659 51.100
## 290 0.695 51.900
## 291 0.677 52.700
## 292 0.711 53.500
## 293 0.720 54.300
## 294 0.962 71.300
## 295 0.000 71.660
## 296 0.939 71.840
## 297 0.943 72.020
## 298 0.954 72.200
## 299 0.922 72.360
## 300 0.948 72.520
## 301 0.936 72.680
## 302 0.918 72.840
## 303 0.939 73.000
## 304 0.924 73.200
## 305 0.934 73.400
## 306 0.923 73.600
## 307 0.925 73.800
## 308 0.931 74.000
## 309 0.532 40.900
## 310 0.483 42.700
## 311 0.387 43.080
## 312 0.290 44.900
## 313 0.320 45.200
## 314 0.724 43.180
## 315 0.479 43.660
## 316 0.571 44.140
## 317 0.646 44.620
## 318 0.734 45.100
## 319 0.819 45.420
## 320 0.673 45.740
## 321 0.714 46.060
## 322 0.733 46.380
## 323 0.751 46.700
## 324 0.616 47.200
## 325 0.661 47.700
## 326 0.577 48.200
## 327 0.640 48.700
## 328 0.836 68.660
## 329 0.815 68.720
## 330 0.804 68.780
## 331 0.832 68.840
## 332 0.857 68.900
## 333 0.819 69.040
## 334 0.855 69.180
## 335 0.862 69.320
## 336 0.862 69.460
## 337 0.827 69.600
## 338 0.841 69.700
## 339 0.880 69.800
## 340 0.890 69.900
## 341 0.869 70.000
## 342 0.888 70.100
## 343 0.747 66.880
## 344 0.811 67.060
## 345 0.748 67.240
## 346 0.798 67.420
## 347 0.768 67.600
## 348 0.787 67.760
## 349 0.788 67.920
## 350 0.778 68.080
## 351 0.820 68.240
## 352 0.794 68.400
## 353 0.742 68.700
## 354 0.772 69.000
## 355 0.788 69.300
## 356 0.822 69.600
## 357 0.808 69.900
## 358 0.910 65.220
## 359 0.894 65.340
## 360 0.880 65.460
## 361 0.886 65.580
## 362 0.893 65.700
## 363 0.904 65.920
## 364 0.914 66.140
## 365 0.901 66.360
## 366 0.907 66.580
## 367 0.890 66.800
## 368 0.882 67.100
## 369 0.909 67.400
## 370 0.871 67.700
## 371 0.873 68.000
## 372 0.797 68.300
## 373 0.629 54.360
## 374 0.721 54.700
## 375 0.722 55.020
## 376 0.719 55.340
## 377 0.621 57.200
## 378 0.632 57.500
## 379 0.555 52.200
## 380 0.637 54.580
## 381 0.622 54.960
## 382 0.680 55.340
## 383 0.686 55.720
## 384 0.642 56.100
## 385 0.615 56.700
## 386 0.655 57.300
## 387 0.621 57.900
## 388 0.625 58.500
## 389 0.733 49.340
## 390 0.744 50.340
## 391 0.770 50.780
## 392 0.830 51.220
## 393 0.822 51.660
## 394 0.767 52.100
## 395 0.864 52.500
## 396 0.670 52.900
## 397 0.937 69.940
## 398 0.918 69.880
## 399 0.916 69.820
## 400 0.900 69.760
## 401 0.915 69.700
## 402 0.892 69.900
## 403 0.902 70.100
## 404 0.902 70.300
## 405 0.914 70.500
## 406 0.878 70.700
## 407 0.901 70.900
## 408 0.922 71.100
## 409 0.876 71.300
## 410 0.906 71.500
## 411 0.910 67.120
## 412 0.861 67.640
## 413 0.796 67.900
## 414 0.790 68.000
## 415 0.776 68.100
## 416 0.751 68.200
## 417 0.646 68.300
## 418 0.768 68.400
## 419 0.798 69.000
## 420 0.770 69.600
## 421 0.910 70.200
## 422 0.936 70.800
## 423 0.923 71.400
## 424 0.970 68.440
## 425 0.878 71.440
## 426 0.812 72.160
## 427 0.822 72.400
## 428 0.844 72.540
## 429 0.767 72.680
## 430 0.744 72.820
## 431 0.770 72.960
## 432 0.770 73.100
## 433 0.786 73.300
## 434 0.819 73.500
## 435 0.826 73.700
## 436 0.776 73.900
## 437 0.806 74.100
## 438 0.919 67.000
## 439 0.900 67.440
## 440 0.934 68.100
## 441 0.914 68.240
## 442 0.912 68.380
## 443 0.888 68.520
## 444 0.878 68.660
## 445 0.911 68.800
## 446 0.931 69.300
## 447 0.901 69.800
## 448 0.929 70.300
## 449 0.964 71.300
## 450 0.972 69.600
## 451 0.954 69.920
## 452 0.954 70.080
## 453 0.939 70.240
## 454 0.975 70.400
## 455 0.962 70.620
## 456 0.951 70.840
## 457 0.965 71.060
## 458 0.956 71.280
## 459 0.960 71.500
## 460 0.954 71.800
## 461 0.952 72.100
## 462 0.958 72.400
## 463 0.958 72.700
## 464 0.947 73.000
## 465 0.690 53.260
## 466 0.901 53.780
## 467 0.000 54.300
## 468 0.633 54.700
## 469 0.919 62.680
## 470 0.848 62.960
## 471 0.850 63.240
## 472 0.878 63.520
## 473 0.860 63.800
## 474 0.872 64.020
## 475 0.879 64.240
## 476 0.878 64.460
## 477 0.891 64.680
## 478 0.893 64.900
## 479 0.895 65.200
## 480 0.894 65.500
## 481 0.862 65.800
## 482 0.884 66.100
## 483 0.806 66.400
## 484 0.910 66.080
## 485 0.839 66.260
## 486 0.829 66.440
## 487 0.779 66.620
## 488 0.839 66.800
## 489 0.818 66.960
## 490 0.785 67.120
## 491 0.801 67.280
## 492 0.831 67.440
## 493 0.856 67.600
## 494 0.842 67.900
## 495 0.849 68.200
## 496 0.851 68.500
## 497 0.808 68.800
## 498 0.804 69.100
## 499 0.848 59.700
## 500 0.686 59.820
## 501 0.738 59.880
## 502 0.744 59.940
## 503 0.769 60.000
## 504 0.753 60.160
## 505 0.737 60.320
## 506 0.675 60.480
## 507 0.619 60.640
## 508 0.730 60.800
## 509 0.809 61.100
## 510 0.638 61.400
## 511 0.759 61.700
## 512 0.772 62.000
## 513 0.673 62.300
## 514 0.878 62.920
## 515 0.717 63.240
## 516 0.747 63.560
## 517 0.734 63.880
## 518 0.757 64.200
## 519 0.731 64.400
## 520 0.806 64.600
## 521 0.827 64.800
## 522 0.798 65.000
## 523 0.791 65.200
## 524 0.794 65.500
## 525 0.829 65.800
## 526 0.820 66.100
## 527 0.764 66.400
## 528 0.696 66.700
## 529 0.910 64.860
## 530 0.896 65.320
## 531 0.904 65.780
## 532 0.874 66.240
## 533 0.909 66.960
## 534 0.889 67.220
## 535 0.901 67.480
## 536 0.917 67.740
## 537 0.918 68.000
## 538 0.938 68.200
## 539 0.936 68.400
## 540 0.933 68.600
## 541 0.934 68.800
## 542 0.958 69.000
## 543 0.659 55.200
## 544 0.602 55.800
## 545 0.640 56.400
## 546 0.626 57.000
## 547 0.719 57.500
## 548 0.734 58.000
## 549 0.740 58.500
## 550 0.748 59.000
## 551 0.823 59.500
## 552 0.965 69.760
## 553 0.951 70.080
## 554 0.935 70.400
## 555 0.938 70.640
## 556 0.928 70.880
## 557 0.941 71.120
## 558 0.952 71.360
## 559 0.948 71.600
## 560 0.954 71.700
## 561 0.964 71.800
## 562 0.962 71.900
## 563 0.937 72.000
## 564 0.962 72.100
## 565 0.940 71.300
## 566 0.944 71.480
## 567 0.935 71.840
## 568 0.918 72.020
## 569 0.943 72.200
## 570 0.921 72.400
## 571 0.937 72.600
## 572 0.908 72.800
## 573 0.878 73.000
## 574 0.896 73.200
## 575 0.885 73.400
## 576 0.931 73.600
## 577 0.921 73.800
## 578 0.958 74.000
## 579 0.947 74.200
## 580 0.653 55.480
## 581 0.736 56.160
## 582 0.733 56.840
## 583 0.829 57.520
## 584 0.756 58.200
## 585 0.780 58.700
## 586 0.807 59.200
## 587 0.785 59.700
## 588 0.763 60.200
## 589 0.697 54.700
## 590 0.685 55.000
## 591 0.694 55.300
## 592 0.647 65.120
## 593 0.548 65.040
## 594 0.608 64.960
## 595 0.544 64.880
## 596 0.540 64.800
## 597 0.503 64.860
## 598 0.533 64.920
## 599 0.559 64.980
## 600 0.558 65.040
## 601 0.517 65.100
## 602 0.533 64.900
## 603 0.590 64.700
## 604 0.617 64.500
## 605 0.675 64.300
## 606 0.718 64.100
## 607 0.963 70.200
## 608 0.926 70.480
## 609 0.923 70.620
## 610 0.935 70.760
## 611 0.939 70.900
## 612 0.947 70.980
## 613 0.926 71.060
## 614 0.931 71.140
## 615 0.938 71.220
## 616 0.926 71.300
## 617 0.906 71.600
## 618 0.892 71.900
## 619 0.920 72.200
## 620 0.886 72.500
## 621 0.905 72.800
## 622 0.728 52.340
## 623 0.730 52.780
## 624 0.622 53.220
## 625 0.633 53.660
## 626 0.739 54.100
## 627 0.724 54.480
## 628 0.685 54.860
## 629 0.676 55.240
## 630 0.651 55.620
## 631 0.687 56.000
## 632 0.647 56.400
## 633 0.669 56.800
## 634 0.761 57.200
## 635 0.746 57.600
## 636 0.643 58.000
## 637 0.837 70.500
## 638 0.808 70.900
## 639 0.793 71.300
## 640 0.868 71.500
## 641 0.852 71.560
## 642 0.812 71.620
## 643 0.687 71.680
## 644 0.832 71.740
## 645 0.835 71.800
## 646 0.803 72.000
## 647 0.753 72.200
## 648 0.794 72.400
## 649 0.891 72.600
## 650 0.779 72.800
## 651 0.830 60.740
## 652 0.866 61.080
## 653 0.866 61.420
## 654 0.834 61.760
## 655 0.859 62.100
## 656 0.768 62.460
## 657 0.802 62.820
## 658 0.830 63.180
## 659 0.834 63.540
## 660 0.823 63.900
## 661 0.811 64.200
## 662 0.826 64.500
## 663 0.841 64.800
## 664 0.774 65.100
## 665 0.598 50.220
## 666 0.542 50.440
## 667 0.567 50.660
## 668 0.638 50.880
## 669 0.579 51.100
## 670 0.675 52.200
## 671 0.634 53.300
## 672 0.630 54.400
## 673 0.655 55.500
## 674 0.849 57.260
## 675 0.694 48.460
## 676 0.679 40.380
## 677 0.554 32.300
## 678 0.567 36.860
## 679 0.749 41.420
## 680 0.648 45.980
## 681 0.554 50.540
## 682 0.564 55.100
## 683 0.584 55.300
## 684 0.647 55.500
## 685 0.538 55.700
## 686 0.933 64.540
## 687 0.819 64.780
## 688 0.828 65.020
## 689 0.824 65.260
## 690 0.803 65.500
## 691 0.766 65.720
## 692 0.779 65.940
## 693 0.792 66.160
## 694 0.790 66.380
## 695 0.772 66.600
## 696 0.774 66.800
## 697 0.843 67.000
## 698 0.827 67.200
## 699 0.797 67.400
## 700 0.812 0.000
## 701 0.840 0.000
## 702 0.835 0.000
## 703 0.857 0.000
## 704 0.846 0.000
## 705 0.826 0.000
## 706 0.834 0.000
## 707 0.832 0.000
## 708 0.831 0.000
## 709 0.856 0.000
## 710 0.813 0.000
## 711 0.930 64.600
## 712 0.931 65.000
## 713 0.901 65.400
## 714 0.896 65.600
## 715 0.894 65.760
## 716 0.906 65.920
## 717 0.877 66.080
## 718 0.845 66.240
## 719 0.859 66.400
## 720 0.900 66.800
## 721 0.877 67.200
## 722 0.941 67.600
## 723 0.947 68.000
## 724 0.943 68.400
## 725 0.977 72.320
## 726 0.979 72.760
## 727 0.967 72.840
## 728 0.980 73.000
## 729 0.985 73.000
## 730 0.967 73.000
## 731 0.982 73.000
## 732 0.983 73.000
## 733 0.707 55.720
## 734 0.569 56.140
## 735 0.684 56.560
## 736 0.653 56.980
## 737 0.605 57.400
## 738 0.553 57.700
## 739 0.511 58.000
## 740 0.553 58.300
## 741 0.621 58.600
## 742 0.610 58.900
## 743 0.614 59.300
## 744 0.607 59.700
## 745 0.638 60.100
## 746 0.561 60.500
## 747 0.617 60.900
## 748 0.771 59.840
## 749 0.704 59.980
## 750 0.675 60.120
## 751 0.779 60.260
## 752 0.816 60.400
## 753 0.825 60.620
## 754 0.834 60.840
## 755 0.794 61.060
## 756 0.905 61.280
## 757 0.809 61.500
## 758 0.792 61.700
## 759 0.796 61.900
## 760 0.809 62.100
## 761 0.802 62.300
## 762 0.766 62.000
## 763 0.718 62.760
## 764 0.633 63.140
## 765 0.582 64.140
## 766 0.600 64.380
## 767 0.664 64.620
## 768 0.644 64.860
## 769 0.572 65.100
## 770 0.566 65.400
## 771 0.714 65.700
## 772 0.674 66.000
## 773 0.698 66.300
## 774 0.757 66.600
## 775 0.744 58.320
## 776 0.862 58.960
## 777 0.854 59.600
## 778 0.751 59.360
## 779 0.730 59.120
## 780 0.728 58.880
## 781 0.725 58.640
## 782 0.684 58.400
## 783 0.719 59.000
## 784 0.695 59.600
## 785 0.764 60.200
## 786 0.708 61.400
## 787 0.967 70.140
## 788 0.983 70.820
## 789 0.959 71.160
## 790 0.973 71.500
## 791 0.977 71.600
## 792 0.962 71.700
## 793 0.955 71.800
## 794 0.968 71.900
## 795 0.953 72.000
## 796 0.958 72.100
## 797 0.943 72.200
## 798 0.938 72.300
## 799 0.944 72.400
## 800 0.960 72.500
## 801 0.927 71.120
## 802 0.868 71.440
## 803 0.859 71.760
## 804 0.937 72.080
## 805 0.882 72.400
## 806 0.893 72.460
## 807 0.903 72.520
## 808 0.909 72.580
## 809 0.889 72.640
## 810 0.864 72.700
## 811 0.890 72.900
## 812 0.916 73.100
## 813 0.910 73.300
## 814 0.946 73.500
## 815 0.959 73.700
## 816 0.928 71.900
## 817 0.912 72.260
## 818 0.880 72.440
## 819 0.880 72.620
## 820 0.872 72.800
## 821 0.913 72.840
## 822 0.869 72.880
## 823 0.916 72.920
## 824 0.898 72.960
## 825 0.909 73.000
## 826 0.927 73.200
## 827 0.920 73.400
## 828 0.913 73.600
## 829 0.838 73.800
## 830 0.890 74.000
## 831 0.667 45.780
## 832 0.709 47.100
## 833 0.711 47.400
## 834 0.704 47.700
## 835 0.617 48.300
## 836 0.661 48.900
## 837 0.621 49.500
## 838 0.679 50.100
## 839 0.613 50.700
## 840 0.909 64.900
## 841 0.855 66.220
## 842 0.865 66.460
## 843 0.874 66.580
## 844 0.913 67.100
## 845 0.878 67.500
## 846 0.928 73.200
## 847 0.938 73.440
## 848 0.887 73.560
## 849 0.888 73.680
## 850 0.902 73.800
## 851 0.917 73.980
## 852 0.905 74.160
## 853 0.924 74.340
## 854 0.900 74.520
## 855 0.923 74.700
## 856 0.900 74.800
## 857 0.882 74.900
## 858 0.886 75.000
## 859 0.878 75.100
## 860 0.887 75.200
## 861 0.920 63.500
## 862 0.841 63.980
## 863 0.766 64.220
## 864 0.899 64.460
## 865 0.918 64.700
## 866 0.878 65.000
## 867 0.829 65.300
## 868 0.840 65.600
## 869 0.816 65.900
## 870 0.830 66.200
## 871 0.820 66.400
## 872 0.815 66.600
## 873 0.800 66.800
## 874 0.793 67.000
## 875 0.709 67.200
## 876 0.872 58.200
## 877 0.861 58.700
## 878 0.839 59.200
## 879 0.893 59.700
## 880 0.904 60.200
## 881 0.905 60.720
## 882 0.892 61.240
## 883 0.889 61.760
## 884 0.795 62.280
## 885 0.931 62.800
## 886 0.928 63.400
## 887 0.914 64.000
## 888 0.937 64.600
## 889 0.951 65.200
## 890 0.966 65.800
## 891 0.909 50.220
## 892 0.841 51.540
## 893 0.827 52.860
## 894 0.789 54.180
## 895 0.805 55.500
## 896 0.846 56.060
## 897 0.831 56.620
## 898 0.825 57.180
## 899 0.765 57.740
## 900 0.777 58.300
## 901 0.706 58.900
## 902 0.715 59.500
## 903 0.707 60.100
## 904 0.676 60.700
## 905 0.674 61.300
## 906 0.848 0.000
## 907 0.884 0.000
## 908 0.830 0.000
## 909 0.708 0.000
## 910 0.759 0.000
## 911 0.757 0.000
## 912 0.721 0.000
## 913 0.706 0.000
## 914 0.805 0.000
## 915 0.824 0.000
## 916 0.792 0.000
## 917 0.822 0.000
## 918 0.843 0.000
## 919 0.792 0.000
## 920 0.919 63.960
## 921 0.926 64.440
## 922 0.893 64.600
## 923 0.882 64.900
## 924 0.889 65.200
## 925 0.862 65.500
## 926 0.000 65.800
## 927 0.823 66.100
## 928 0.845 66.300
## 929 0.853 66.500
## 930 0.842 66.900
## 931 0.844 59.980
## 932 0.833 60.260
## 933 0.792 60.540
## 934 0.855 60.820
## 935 0.885 61.100
## 936 0.891 61.520
## 937 0.856 61.940
## 938 0.851 62.360
## 939 0.898 62.780
## 940 0.857 63.200
## 941 0.914 63.500
## 942 0.883 63.800
## 943 0.898 64.100
## 944 0.877 64.400
## 945 0.902 64.700
## 946 0.807 53.920
## 947 0.790 54.440
## 948 0.807 54.960
## 949 0.691 56.300
## 950 0.693 56.600
## 951 0.707 58.300
## 952 0.705 58.700
## 953 0.729 59.100
## 954 0.660 59.500
## 955 0.884 63.160
## 956 0.836 63.520
## 957 0.855 63.880
## 958 0.807 64.240
## 959 0.836 64.860
## 960 0.851 65.120
## 961 0.834 65.380
## 962 0.881 65.640
## 963 0.879 65.900
## 964 0.917 66.200
## 965 0.895 66.500
## 966 0.913 66.800
## 967 0.936 67.100
## 968 0.928 67.400
## 969 0.796 64.600
## 970 0.853 64.720
## 971 0.717 64.960
## 972 0.736 65.080
## 973 0.721 65.200
## 974 0.733 65.280
## 975 0.713 65.360
## 976 0.708 65.440
## 977 0.759 65.520
## 978 0.742 65.600
## 979 0.828 66.100
## 980 0.777 66.600
## 981 0.829 67.100
## 982 0.866 67.600
## 983 0.824 45.740
## 984 0.798 46.600
## 985 0.769 47.300
## 986 0.790 48.700
## 987 0.594 49.140
## 988 0.619 49.960
## 989 0.827 51.600
## 990 0.708 53.280
## 991 0.638 53.700
## 992 0.643 54.500
## 993 0.685 55.300
## 994 0.727 56.100
## 995 0.712 56.900
## 996 0.855 62.660
## 997 0.868 62.300
## 998 0.876 62.300
## 999 0.823 62.300
## 1000 0.824 62.300
## 1001 0.827 62.300
## 1002 0.930 63.140
## 1003 0.941 63.480
## 1004 0.914 63.820
## 1005 0.933 64.160
## 1006 0.882 64.500
## 1007 0.911 64.700
## 1008 0.919 64.900
## 1009 0.913 65.100
## 1010 0.908 65.300
## 1011 0.929 65.500
## 1012 0.938 66.100
## 1013 0.926 66.700
## 1014 0.929 67.300
## 1015 0.918 67.900
## 1016 0.953 68.500
## 1017 0.939 71.440
## 1018 0.952 71.700
## 1019 0.934 71.880
## 1020 0.914 72.060
## 1021 0.917 72.240
## 1022 0.875 72.420
## 1023 0.934 72.600
## 1024 0.941 72.600
## 1025 0.905 72.600
## 1026 0.902 72.600
## 1027 0.912 72.600
## 1028 0.711 54.040
## 1029 0.776 54.920
## 1030 0.818 56.220
## 1031 0.673 56.640
## 1032 0.673 57.060
## 1033 0.655 57.480
## 1034 0.647 57.900
## 1035 0.746 58.300
## 1036 0.626 58.700
## 1037 0.666 59.100
## 1038 0.701 59.500
## 1039 0.554 44.880
## 1040 0.600 46.260
## 1041 0.718 49.020
## 1042 0.613 51.420
## 1043 0.604 52.440
## 1044 0.563 53.460
## 1045 0.512 54.480
## 1046 0.494 55.500
## 1047 0.524 56.200
## 1048 0.555 56.900
## 1049 0.528 57.600
## 1050 0.549 58.300
## 1051 0.866 64.960
## 1052 0.871 65.120
## 1053 0.803 65.280
## 1054 0.792 65.440
## 1055 0.839 65.600
## 1056 0.770 65.760
## 1057 0.841 65.920
## 1058 0.831 66.080
## 1059 0.863 66.240
## 1060 0.818 66.400
## 1061 0.789 67.000
## 1062 0.842 67.200
## 1063 0.913 70.600
## 1064 0.761 45.920
## 1065 0.747 47.160
## 1066 0.733 47.780
## 1067 0.751 48.400
## 1068 0.796 48.760
## 1069 0.823 49.120
## 1070 0.820 49.480
## 1071 0.843 49.840
## 1072 0.830 50.200
## 1073 0.836 50.700
## 1074 0.741 51.200
## 1075 0.692 51.700
## 1076 0.755 52.200
## 1077 0.916 71.380
## 1078 0.908 71.600
## 1079 0.923 71.720
## 1080 0.922 71.840
## 1081 0.942 71.960
## 1082 0.941 72.080
## 1083 0.919 72.200
## 1084 0.930 72.200
## 1085 0.937 72.200
## 1086 0.932 72.200
## 1087 0.922 72.200
## 1088 0.938 72.200
## 1089 0.682 53.660
## 1090 0.670 53.940
## 1091 0.819 54.220
## 1092 0.857 54.500
## 1093 0.750 54.820
## 1094 0.763 55.140
## 1095 0.741 55.460
## 1096 0.853 55.780
## 1097 0.875 56.100
## 1098 0.785 56.400
## 1099 0.779 56.700
## 1100 0.802 57.000
## 1101 0.798 57.300
## 1102 0.800 64.700
## 1103 0.785 65.300
## 1104 0.836 65.800
## 1105 0.910 66.100
## 1106 0.909 66.400
## 1107 0.913 66.700
## 1108 0.893 67.000
## 1109 0.903 66.200
## 1110 0.879 66.320
## 1111 0.876 66.380
## 1112 0.868 66.440
## 1113 0.876 66.500
## 1114 0.824 66.680
## 1115 0.767 66.860
## 1116 0.759 67.040
## 1117 0.782 67.220
## 1118 0.761 67.400
## 1119 0.893 67.700
## 1120 0.800 68.000
## 1121 0.858 68.300
## 1122 0.852 68.600
## 1123 0.779 68.900
## 1124 0.812 60.580
## 1125 0.804 60.760
## 1126 0.872 60.940
## 1127 0.856 61.120
## 1128 0.847 61.300
## 1129 0.869 61.620
## 1130 0.826 61.940
## 1131 0.803 62.260
## 1132 0.805 62.580
## 1133 0.840 62.900
## 1134 0.837 63.600
## 1135 0.831 64.300
## 1136 0.892 65.000
## 1137 0.809 65.700
## 1138 0.874 66.400
## 1139 0.881 58.820
## 1140 0.920 59.280
## 1141 0.904 60.200
## 1142 0.948 60.500
## 1143 0.919 60.800
## 1144 0.935 61.100
## 1145 0.943 61.400
## 1146 0.906 61.700
## 1147 0.947 61.900
## 1148 0.924 62.100
## 1149 0.942 62.300
## 1150 0.946 62.500
## 1151 0.918 62.700
## 1152 0.832 66.200
## 1153 0.816 66.800
## 1154 0.805 67.100
## 1155 0.818 67.260
## 1156 0.704 67.420
## 1157 0.736 67.580
## 1158 0.863 67.740
## 1159 0.740 67.900
## 1160 0.866 68.100
## 1161 0.881 68.300
## 1162 0.856 68.500
## 1163 0.832 68.700
## 1164 0.887 68.900
## 1165 0.000 63.500
## 1166 0.833 63.800
## 1167 0.676 64.100
## 1168 0.597 64.400
## 1169 0.606 65.000
## 1170 0.655 65.300
## 1171 0.641 65.600
## 1172 0.554 65.900
## 1173 0.535 66.200
## 1174 0.553 66.500
## 1175 0.879 44.800
## 1176 0.748 45.500
## 1177 0.756 46.200
## 1178 0.818 48.320
## 1179 0.666 51.200
## 1180 0.678 53.200
## 1181 0.738 54.200
## 1182 0.742 55.200
## 1183 0.612 57.020
## 1184 0.757 57.380
## 1185 0.774 57.740
## 1186 0.752 58.100
## 1187 0.793 58.400
## 1188 0.795 58.700
## 1189 0.774 59.000
## 1190 0.763 59.300
## 1191 0.796 59.600
## 1192 0.828 49.680
## 1193 0.763 55.160
## 1194 0.828 56.200
## 1195 0.864 56.500
## 1196 0.845 56.800
## 1197 0.741 57.100
## 1198 0.874 57.200
## 1199 0.787 57.700
## 1200 0.818 58.200
## 1201 0.813 58.700
## 1202 0.779 59.200
## 1203 0.741 59.400
## 1204 0.734 59.600
## 1205 0.740 59.800
## 1206 0.786 60.000
## 1207 0.748 60.200
## 1208 0.837 61.300
## 1209 0.816 62.400
## 1210 0.768 63.500
## 1211 0.772 64.600
## 1212 0.947 70.400
## 1213 0.944 70.800
## 1214 0.944 71.000
## 1215 0.957 71.400
## 1216 0.938 71.520
## 1217 0.939 71.640
## 1218 0.925 71.760
## 1219 0.909 71.880
## 1220 0.879 72.000
## 1221 0.926 72.100
## 1222 0.937 72.200
## 1223 0.939 72.300
## 1224 0.941 72.400
## 1225 0.944 72.500
## 1226 0.946 71.200
## 1227 0.967 71.400
## 1228 0.944 71.600
## 1229 0.976 72.000
## 1230 0.954 72.120
## 1231 0.930 72.240
## 1232 0.958 72.360
## 1233 0.942 72.480
## 1234 0.987 72.600
## 1235 0.937 72.800
## 1236 0.955 73.000
## 1237 0.954 73.200
## 1238 0.939 73.400
## 1239 0.952 73.600
## 1240 0.877 64.140
## 1241 0.866 64.480
## 1242 0.857 64.820
## 1243 0.835 65.160
## 1244 0.863 65.500
## 1245 0.800 65.720
## 1246 0.894 65.940
## 1247 0.868 66.160
## 1248 0.839 66.380
## 1249 0.827 66.600
## 1250 0.853 66.900
## 1251 0.838 67.200
## 1252 0.854 67.500
## 1253 0.874 67.800
## 1254 0.677 46.360
## 1255 0.726 47.120
## 1256 0.607 47.880
## 1257 0.771 48.640
## 1258 0.655 49.400
## 1259 0.818 49.920
## 1260 0.700 50.440
## 1261 0.696 50.960
## 1262 0.753 51.480
## 1263 0.713 52.000
## 1264 0.683 52.500
## 1265 0.582 53.000
## 1266 0.612 53.500
## 1267 0.677 54.000
## 1268 0.735 44.120
## 1269 0.718 44.640
## 1270 0.780 45.160
## 1271 0.722 45.680
## 1272 0.824 46.200
## 1273 0.818 47.120
## 1274 0.663 47.580
## 1275 0.812 48.500
## 1276 0.805 48.900
## 1277 0.733 49.300
## 1278 0.741 49.700
## 1279 0.734 50.100
## 1280 0.739 50.500
## 1281 0.871 0.000
## 1282 0.869 0.000
## 1283 0.802 0.000
## 1284 0.791 0.000
## 1285 0.808 0.000
## 1286 0.837 0.000
## 1287 0.803 0.000
## 1288 0.811 64.095
## 1289 0.734 64.349
## 1290 0.687 64.502
## 1291 0.784 64.661
## 1292 0.798 64.811
## 1293 0.832 64.942
## 1294 0.793 65.053
## 1295 0.766 65.145
## 1296 0.871 65.225
## 1297 0.800 65.303
## 1298 0.849 65.389
## 1299 0.815 65.474
## 1300 0.750 65.560
## 1301 0.959 71.320
## 1302 0.936 71.560
## 1303 0.948 72.240
## 1304 0.941 72.680
## 1305 0.947 72.900
## 1306 0.960 73.000
## 1307 0.950 73.100
## 1308 0.966 73.200
## 1309 0.942 73.300
## 1310 0.956 73.400
## 1311 0.000 65.500
## 1312 0.591 54.200
## 1313 0.479 55.000
## 1314 0.373 55.400
## 1315 0.522 55.800
## 1316 0.571 56.200
## 1317 0.510 56.420
## 1318 0.542 56.640
## 1319 0.607 56.860
## 1320 0.552 57.080
## 1321 0.562 57.300
## 1322 0.627 57.700
## 1323 0.690 58.100
## 1324 0.685 58.500
## 1325 0.617 58.900
## 1326 0.818 61.780
## 1327 0.712 61.897
## 1328 0.666 62.015
## 1329 0.738 62.132
## 1330 0.822 62.250
## 1331 0.751 0.000
## 1332 0.782 0.000
## 1333 0.761 0.000
## 1334 0.775 0.000
## 1335 0.766 0.000
## 1336 0.818 0.000
## 1337 0.824 0.000
## 1338 0.819 0.000
## 1339 0.833 0.000
## 1340 0.951 67.900
## 1341 0.937 68.000
## 1342 0.922 68.100
## 1343 0.905 68.200
## 1344 0.928 68.300
## 1345 0.876 68.500
## 1346 0.897 68.700
## 1347 0.896 68.900
## 1348 0.873 69.100
## 1349 0.883 69.300
## 1350 0.882 69.400
## 1351 0.912 69.500
## 1352 0.904 69.600
## 1353 0.886 69.700
## 1354 0.895 63.620
## 1355 0.863 63.840
## 1356 0.889 64.060
## 1357 0.900 64.280
## 1358 0.889 64.500
## 1359 0.869 64.620
## 1360 0.931 64.740
## 1361 0.939 64.860
## 1362 0.959 64.980
## 1363 0.914 65.100
## 1364 0.940 65.300
## 1365 0.902 65.500
## 1366 0.892 65.900
## 1367 0.875 65.340
## 1368 0.756 65.580
## 1369 0.777 65.820
## 1370 0.799 66.060
## 1371 0.812 66.300
## 1372 0.756 66.480
## 1373 0.764 66.660
## 1374 0.797 66.840
## 1375 0.819 67.020
## 1376 0.798 67.200
## 1377 0.803 67.500
## 1378 0.830 67.800
## 1379 0.845 68.100
## 1380 0.809 68.400
## 1381 0.795 59.800
## 1382 0.801 60.000
## 1383 0.798 60.200
## 1384 0.775 60.400
## 1385 0.805 60.600
## 1386 0.789 60.800
## 1387 0.813 61.000
## 1388 0.846 61.200
## 1389 0.813 61.400
## 1390 0.854 61.600
## 1391 0.821 61.700
## 1392 0.851 61.800
## 1393 0.846 61.900
## 1394 0.845 62.000
## 1395 0.781 62.100
## 1396 0.922 66.300
## 1397 0.913 66.700
## 1398 0.917 67.100
## 1399 0.955 67.300
## 1400 0.905 67.460
## 1401 0.936 67.620
## 1402 0.912 67.780
## 1403 0.924 67.940
## 1404 0.893 68.100
## 1405 0.917 68.500
## 1406 0.882 68.900
## 1407 0.863 69.300
## 1408 0.878 69.700
## 1409 0.953 70.100
## 1410 0.905 69.840
## 1411 0.886 70.320
## 1412 0.864 70.800
## 1413 0.856 71.000
## 1414 0.866 71.200
## 1415 0.867 71.400
## 1416 0.862 71.600
## 1417 0.866 71.800
## 1418 0.905 72.000
## 1419 0.900 72.200
## 1420 0.887 72.400
## 1421 0.876 72.600
## 1422 0.875 72.800
## 1423 0.894 66.580
## 1424 0.000 66.700
## 1425 0.857 67.020
## 1426 0.838 67.340
## 1427 0.000 68.300
## 1428 0.838 64.000
## 1429 0.736 64.480
## 1430 0.812 64.960
## 1431 0.689 65.200
## 1432 0.753 65.420
## 1433 0.740 65.640
## 1434 0.778 65.860
## 1435 0.753 66.080
## 1436 0.787 66.300
## 1437 0.809 66.600
## 1438 0.811 66.900
## 1439 0.818 67.200
## 1440 0.842 67.500
## 1441 0.895 58.680
## 1442 0.885 59.260
## 1443 0.882 59.840
## 1444 0.908 60.420
## 1445 0.909 61.000
## 1446 0.883 61.420
## 1447 0.901 61.840
## 1448 0.881 62.260
## 1449 0.932 62.680
## 1450 0.924 63.100
## 1451 0.911 63.500
## 1452 0.896 63.900
## 1453 0.909 64.300
## 1454 0.910 64.700
## 1455 0.887 65.100
## 1456 0.718 49.880
## 1457 0.486 53.040
## 1458 0.559 54.620
## 1459 0.570 56.820
## 1460 0.637 57.440
## 1461 0.750 58.060
## 1462 0.748 58.680
## 1463 0.678 59.300
## 1464 0.665 59.900
## 1465 0.517 60.500
## 1466 0.616 61.100
## 1467 0.489 61.700
## 1468 0.868 63.500
## 1469 0.892 63.860
## 1470 0.823 64.040
## 1471 0.921 64.220
## 1472 0.880 64.400
## 1473 0.830 64.600
## 1474 0.867 64.800
## 1475 0.827 65.000
## 1476 0.818 65.200
## 1477 0.820 65.400
## 1478 0.890 65.700
## 1479 0.840 66.000
## 1480 0.868 66.300
## 1481 0.912 66.600
## 1482 0.890 66.900
## 1483 0.760 53.380
## 1484 0.718 54.060
## 1485 0.756 54.740
## 1486 0.810 55.420
## 1487 0.760 56.100
## 1488 0.602 56.560
## 1489 0.711 57.020
## 1490 0.823 57.480
## 1491 0.856 57.940
## 1492 0.702 58.400
## 1493 0.839 58.800
## 1494 0.744 59.200
## 1495 0.739 59.600
## 1496 0.688 60.000
## 1497 0.844 65.600
## 1498 0.770 66.000
## 1499 0.726 66.200
## 1500 0.773 66.360
## 1501 0.819 66.520
## 1502 0.828 66.680
## 1503 0.783 66.840
## 1504 0.816 67.000
## 1505 0.895 67.400
## 1506 0.884 67.800
## 1507 0.853 68.200
## 1508 0.903 68.600
## 1509 0.852 69.000
## 1510 0.561 40.300
## 1511 0.686 41.200
## 1512 0.591 42.100
## 1513 0.812 43.900
## 1514 0.782 44.320
## 1515 0.708 45.160
## 1516 0.869 45.580
## 1517 0.611 46.000
## 1518 0.657 47.600
## 1519 0.652 49.200
## 1520 0.650 50.800
## 1521 0.611 52.400
## 1522 0.904 73.600
## 1523 0.921 73.900
## 1524 0.845 74.200
## 1525 0.866 74.500
## 1526 0.864 74.800
## 1527 0.904 75.020
## 1528 0.808 75.460
## 1529 0.822 75.680
## 1530 0.866 75.900
## 1531 0.925 76.200
## 1532 0.897 76.500
## 1533 0.903 76.800
## 1534 0.925 77.100
## 1535 0.954 66.000
## 1536 0.920 66.800
## 1537 0.917 67.040
## 1538 0.926 67.280
## 1539 0.909 67.520
## 1540 0.924 67.760
## 1541 0.943 68.000
## 1542 0.945 68.300
## 1543 0.913 68.600
## 1544 0.922 68.900
## 1545 0.933 69.200
## 1546 0.954 69.500
## 1547 0.936 68.000
## 1548 0.919 68.900
## 1549 0.917 69.200
## 1550 0.931 69.400
## 1551 0.925 69.600
## 1552 0.932 69.800
## 1553 0.908 70.000
## 1554 0.901 70.200
## 1555 0.934 70.500
## 1556 0.928 70.800
## 1557 0.941 71.100
## 1558 0.949 71.400
## 1559 0.953 71.700
## 1560 0.611 49.600
## 1561 0.599 50.100
## 1562 0.594 50.000
## 1563 0.880 0.000
## 1564 0.829 0.000
## 1565 0.788 0.000
## 1566 0.786 0.000
## 1567 0.913 48.020
## 1568 0.788 48.640
## 1569 0.810 49.260
## 1570 0.877 49.880
## 1571 0.917 50.500
## 1572 0.858 51.460
## 1573 0.907 52.420
## 1574 0.839 53.380
## 1575 0.881 54.340
## 1576 0.898 55.300
## 1577 0.875 55.700
## 1578 0.870 56.100
## 1579 0.841 56.500
## 1580 0.848 56.900
## 1581 0.891 57.300
## 1582 0.775 70.200
## 1583 0.827 70.500
## 1584 0.754 70.800
## 1585 0.811 71.100
## 1586 0.816 71.400
## 1587 0.809 71.660
## 1588 0.775 71.920
## 1589 0.797 72.180
## 1590 0.738 72.440
## 1591 0.768 72.700
## 1592 0.811 73.000
## 1593 0.807 73.300
## 1594 0.798 73.600
## 1595 0.783 73.900
## 1596 0.808 74.200
## 1597 0.545 49.840
## 1598 0.585 50.200
## 1599 0.532 50.600
## 1600 0.557 51.000
## 1601 0.961 71.500
## 1602 0.957 72.060
## 1603 0.948 72.340
## 1604 0.929 72.620
## 1605 0.950 72.900
## 1606 0.944 73.020
## 1607 0.937 73.140
## 1608 0.929 73.260
## 1609 0.948 73.380
## 1610 0.956 73.500
## 1611 0.942 73.800
## 1612 0.903 74.100
## 1613 0.910 74.400
## 1614 0.949 74.700
## 1615 0.935 75.000
## 1616 0.864 65.780
## 1617 0.838 65.860
## 1618 0.816 65.940
## 1619 0.830 66.020
## 1620 0.814 66.100
## 1621 0.842 66.200
## 1622 0.824 66.300
## 1623 0.809 66.400
## 1624 0.805 66.500
## 1625 0.863 66.600
## 1626 0.823 67.000
## 1627 0.833 67.200
## 1628 0.815 67.400
## 1629 0.911 53.700
## 1630 0.855 54.000
## 1631 0.818 54.280
## 1632 0.813 54.560
## 1633 0.811 55.120
## 1634 0.797 62.240
## 1635 0.837 40.808
## 1636 0.779 50.353
## 1637 0.759 51.270
## 1638 0.951 71.200
## 1639 0.917 71.480
## 1640 0.923 71.620
## 1641 0.903 71.760
## 1642 0.970 71.900
## 1643 0.921 71.980
## 1644 0.929 72.060
## 1645 0.916 72.140
## 1646 0.933 72.220
## 1647 0.929 72.300
## 1648 0.912 72.400
## 1649 0.914 72.500
## 1650 0.931 72.600
## 1651 0.934 72.700
## 1652 0.936 72.800
## 1653 0.951 71.540
## 1654 0.938 72.260
## 1655 0.947 72.780
## 1656 0.959 73.060
## 1657 0.938 73.200
## 1658 0.928 73.500
## 1659 0.950 73.800
## 1660 0.930 74.100
## 1661 0.949 74.400
## 1662 0.946 74.700
## 1663 0.712 63.900
## 1664 0.842 64.000
## 1665 0.934 64.100
## 1666 0.576 62.320
## 1667 0.588 60.540
## 1668 0.585 58.760
## 1669 0.464 55.200
## 1670 0.882 68.680
## 1671 0.830 69.140
## 1672 0.831 69.600
## 1673 0.863 0.000
## 1674 0.825 0.000
## 1675 0.817 0.000
## 1676 0.870 0.000
## 1677 0.885 0.000
## 1678 0.895 0.000
## 1679 0.891 0.000
## 1680 0.896 0.000
## 1681 0.893 0.000
## 1682 0.901 0.000
## 1683 0.724 60.640
## 1684 0.727 61.080
## 1685 0.701 61.520
## 1686 0.676 61.960
## 1687 0.759 62.400
## 1688 0.751 62.560
## 1689 0.729 62.720
## 1690 0.701 62.880
## 1691 0.810 63.040
## 1692 0.844 63.200
## 1693 0.857 63.500
## 1694 0.663 63.800
## 1695 0.875 64.100
## 1696 0.880 64.400
## 1697 0.790 64.700
## 1698 0.783 48.700
## 1699 0.708 49.600
## 1700 0.774 50.500
## 1701 0.837 51.400
## 1702 0.813 52.300
## 1703 0.883 53.040
## 1704 0.832 53.780
## 1705 0.803 54.520
## 1706 0.789 55.260
## 1707 0.790 56.000
## 1708 0.638 56.500
## 1709 0.705 57.000
## 1710 0.675 57.500
## 1711 0.687 58.000
## 1712 0.740 58.500
## 1713 0.894 64.140
## 1714 0.889 64.480
## 1715 0.832 64.820
## 1716 0.893 65.160
## 1717 0.898 65.500
## 1718 0.884 65.720
## 1719 0.906 65.940
## 1720 0.926 66.160
## 1721 0.933 66.380
## 1722 0.866 66.600
## 1723 0.908 66.800
## 1724 0.877 67.000
## 1725 0.873 67.200
## 1726 0.903 67.400
## 1727 0.867 67.600
## 1728 0.435 49.260
## 1729 0.291 50.180
## 1730 0.303 51.580
## 1731 0.444 53.020
## 1732 0.479 53.500
## 1733 0.509 53.900
## 1734 0.508 54.300
## 1735 0.596 54.700
## 1736 0.539 55.100
## 1737 0.887 61.760
## 1738 0.858 62.080
## 1739 0.863 62.540
## 1740 0.883 62.820
## 1741 0.916 63.500
## 1742 0.000 64.960
## 1743 0.863 65.100
## 1744 0.715 65.280
## 1745 0.614 65.460
## 1746 0.648 65.640
## 1747 0.680 65.820
## 1748 0.609 66.000
## 1749 0.702 66.300
## 1750 0.717 66.600
## 1751 0.733 66.900
## 1752 0.610 67.200
## 1753 0.719 67.500
## 1754 0.820 62.600
## 1755 0.792 63.320
## 1756 0.645 63.680
## 1757 0.755 64.040
## 1758 0.795 64.400
## 1759 0.692 64.640
## 1760 0.739 64.880
## 1761 0.795 65.120
## 1762 0.863 65.360
## 1763 0.851 65.600
## 1764 0.880 66.000
## 1765 0.876 66.400
## 1766 0.847 66.800
## 1767 0.792 67.200
## 1768 0.857 67.600
## 1769 0.924 59.440
## 1770 0.964 60.040
## 1771 0.946 60.280
## 1772 0.846 60.520
## 1773 0.909 60.760
## 1774 0.960 61.000
## 1775 0.929 61.400
## 1776 0.908 61.800
## 1777 0.984 62.200
## 1778 0.982 62.600
## 1779 0.760 46.480
## 1780 0.845 47.460
## 1781 0.813 48.440
## 1782 0.852 49.420
## 1783 0.830 50.400
## 1784 0.882 51.220
## 1785 0.885 52.040
## 1786 0.878 52.860
## 1787 0.821 53.680
## 1788 0.747 54.500
## 1789 0.754 54.900
## 1790 0.740 55.300
## 1791 0.740 55.700
## 1792 0.805 56.100
## 1793 0.800 56.500
## 1794 0.852 60.120
## 1795 0.820 60.640
## 1796 0.860 61.160
## 1797 0.845 61.680
## 1798 0.884 62.200
## 1799 0.859 62.500
## 1800 0.898 62.800
## 1801 0.897 63.100
## 1802 0.877 63.400
## 1803 0.909 63.700
## 1804 0.885 64.000
## 1805 0.858 64.300
## 1806 0.901 64.600
## 1807 0.883 64.900
## 1808 0.885 65.200
## 1809 0.903 65.920
## 1810 0.885 66.280
## 1811 0.912 66.400
## 1812 0.881 66.420
## 1813 0.856 66.440
## 1814 0.864 66.460
## 1815 0.000 66.480
## 1816 0.824 66.500
## 1817 0.849 66.700
## 1818 0.836 66.900
## 1819 0.851 67.100
## 1820 0.862 67.300
## 1821 0.827 67.500
## 1822 0.979 69.900
## 1823 0.970 70.460
## 1824 0.954 70.740
## 1825 0.964 71.020
## 1826 0.955 71.300
## 1827 0.949 71.380
## 1828 0.935 71.460
## 1829 0.937 71.540
## 1830 0.910 71.620
## 1831 0.936 71.700
## 1832 0.954 71.900
## 1833 0.937 72.100
## 1834 0.928 72.300
## 1835 0.943 72.500
## 1836 0.929 72.700
## 1837 0.965 68.060
## 1838 0.000 68.220
## 1839 0.953 68.380
## 1840 0.912 68.540
## 1841 0.926 68.700
## 1842 0.922 68.680
## 1843 0.903 68.660
## 1844 0.925 68.640
## 1845 0.902 68.620
## 1846 0.904 68.600
## 1847 0.897 68.500
## 1848 0.921 68.400
## 1849 0.904 68.300
## 1850 0.917 68.200
## 1851 0.937 68.100
## 1852 0.912 67.440
## 1853 0.875 67.580
## 1854 0.879 67.720
## 1855 0.924 67.860
## 1856 0.893 68.000
## 1857 0.891 68.140
## 1858 0.865 68.280
## 1859 0.917 68.420
## 1860 0.902 68.560
## 1861 0.891 68.700
## 1862 0.900 68.800
## 1863 0.914 68.900
## 1864 0.917 69.000
## 1865 0.933 69.100
## 1866 0.921 69.200
## 1867 0.903 61.440
## 1868 0.894 62.320
## 1869 0.905 62.760
## 1870 0.903 63.200
## 1871 0.924 63.400
## 1872 0.933 63.600
## 1873 0.963 63.800
## 1874 0.952 64.000
## 1875 0.968 64.200
## 1876 0.945 64.500
## 1877 0.942 64.800
## 1878 0.921 65.100
## 1879 0.915 65.400
## 1880 0.955 65.400
## 1881 0.946 65.460
## 1882 0.922 65.580
## 1883 0.945 65.640
## 1884 0.932 65.700
## 1885 0.931 65.740
## 1886 0.932 65.780
## 1887 0.896 65.820
## 1888 0.904 65.860
## 1889 0.911 65.900
## 1890 0.902 66.100
## 1891 0.896 66.300
## 1892 0.887 66.500
## 1893 0.888 66.700
## 1894 0.805 66.900
## 1895 0.888 65.860
## 1896 0.856 66.020
## 1897 0.805 66.180
## 1898 0.815 66.340
## 1899 0.787 66.500
## 1900 0.898 66.660
## 1901 0.775 66.820
## 1902 0.759 66.980
## 1903 0.792 67.140
## 1904 0.849 67.300
## 1905 0.876 67.500
## 1906 0.000 67.700
## 1907 0.832 67.900
## 1908 0.848 68.100
## 1909 0.825 53.400
## 1910 0.756 54.000
## 1911 0.727 54.300
## 1912 0.663 54.300
## 1913 0.682 54.300
## 1914 0.694 54.300
## 1915 0.638 54.300
## 1916 0.669 54.300
## 1917 0.775 55.100
## 1918 0.790 55.900
## 1919 0.789 56.700
## 1920 0.870 57.500
## 1921 0.798 44.260
## 1922 0.688 45.720
## 1923 0.624 47.180
## 1924 0.782 48.640
## 1925 0.864 50.840
## 1926 0.780 51.580
## 1927 0.761 52.320
## 1928 0.706 53.060
## 1929 0.691 53.800
## 1930 0.767 54.300
## 1931 0.744 54.800
## 1932 0.718 55.300
## 1933 0.638 55.800
## 1934 0.767 56.300
## 1935 0.822 41.580
## 1936 0.828 42.860
## 1937 0.843 44.140
## 1938 0.806 45.420
## 1939 0.857 46.700
## 1940 0.865 48.120
## 1941 0.896 49.540
## 1942 0.799 50.960
## 1943 0.766 52.380
## 1944 0.736 53.800
## 1945 0.768 54.400
## 1946 0.754 55.000
## 1947 0.775 55.600
## 1948 0.759 56.200
## 1949 0.717 56.800
## Freedom.to.make.life.choices Generosity Perceptions.of.corruption
## 1 0.718 0.168 0.882
## 2 0.679 0.190 0.850
## 3 0.600 0.121 0.707
## 4 0.496 0.162 0.731
## 5 0.531 0.236 0.776
## 6 0.578 0.061 0.823
## 7 0.509 0.104 0.871
## 8 0.389 0.080 0.881
## 9 0.523 0.042 0.793
## 10 0.427 -0.121 0.954
## 11 0.374 -0.094 0.928
## 12 0.394 -0.108 0.924
## 13 0.529 -0.009 0.875
## 14 0.525 -0.158 0.864
## 15 0.569 -0.172 0.726
## 16 0.487 -0.205 0.877
## 17 0.602 -0.169 0.848
## 18 0.632 -0.127 0.863
## 19 0.735 -0.025 0.883
## 20 0.704 -0.081 0.885
## 21 0.730 -0.017 0.901
## 22 0.750 -0.029 0.876
## 23 0.824 0.009 0.899
## 24 0.777 -0.099 0.914
## 25 0.754 0.007 0.891
## 26 0.593 -0.205 0.618
## 27 0.530 -0.181 0.638
## 28 0.587 -0.172 0.690
## 29 0.000 0.000 0.000
## 30 0.000 0.000 0.000
## 31 0.437 -0.167 0.700
## 32 0.583 -0.146 0.759
## 33 0.385 0.005 0.741
## 34 0.584 0.055 0.911
## 35 0.456 -0.136 0.906
## 36 0.410 -0.104 0.816
## 37 0.375 -0.168 0.834
## 38 0.733 -0.157 0.852
## 39 0.653 -0.141 0.881
## 40 0.678 -0.132 0.865
## 41 0.637 -0.130 0.885
## 42 0.730 -0.126 0.855
## 43 0.816 -0.174 0.755
## 44 0.747 -0.148 0.817
## 45 0.737 -0.130 0.823
## 46 0.745 -0.164 0.854
## 47 0.881 -0.174 0.851
## 48 0.848 -0.192 0.851
## 49 0.832 -0.186 0.841
## 50 0.846 -0.211 0.855
## 51 0.817 -0.211 0.830
## 52 0.823 -0.122 0.816
## 53 0.520 -0.231 0.850
## 54 0.605 -0.251 0.817
## 55 0.462 -0.215 0.876
## 56 0.441 -0.214 0.882
## 57 0.459 -0.176 0.891
## 58 0.465 -0.225 0.875
## 59 0.502 -0.215 0.893
## 60 0.504 -0.195 0.900
## 61 0.506 -0.218 0.920
## 62 0.551 -0.203 0.901
## 63 0.611 -0.170 0.921
## 64 0.614 -0.147 0.865
## 65 0.808 -0.163 0.677
## 66 0.844 -0.172 0.583
## 67 0.935 0.000 0.390
## 68 0.891 0.347 0.513
## 69 0.916 0.305 0.431
## 70 0.932 0.317 0.366
## 71 0.945 0.369 0.382
## 72 0.935 0.274 0.368
## 73 0.933 0.269 0.432
## 74 0.923 0.319 0.442
## 75 0.922 0.332 0.357
## 76 0.922 0.239 0.399
## 77 0.911 0.317 0.411
## 78 0.916 0.146 0.405
## 79 0.918 0.121 0.430
## 80 0.905 0.210 0.491
## 81 0.941 0.302 0.490
## 82 0.879 0.291 0.614
## 83 0.896 0.131 0.546
## 84 0.939 0.132 0.703
## 85 0.920 0.118 0.771
## 86 0.922 0.168 0.679
## 87 0.885 0.118 0.567
## 88 0.900 0.099 0.557
## 89 0.889 0.080 0.524
## 90 0.890 0.133 0.518
## 91 0.904 0.053 0.523
## 92 0.903 0.060 0.457
## 93 0.912 0.011 0.464
## 94 0.772 -0.235 0.774
## 95 0.522 -0.207 0.871
## 96 0.601 -0.029 0.715
## 97 0.498 -0.087 0.754
## 98 0.501 -0.123 0.858
## 99 0.537 -0.105 0.795
## 100 0.599 -0.140 0.763
## 101 0.672 -0.168 0.699
## 102 0.733 -0.208 0.654
## 103 0.764 -0.198 0.616
## 104 0.713 -0.204 0.607
## 105 0.731 -0.225 0.653
## 106 0.772 -0.232 0.561
## 107 0.854 -0.214 0.457
## 108 0.896 0.037 0.506
## 109 0.862 -0.001 0.715
## 110 0.870 -0.051 0.583
## 111 0.682 0.000 0.438
## 112 0.809 0.000 0.525
## 113 0.000 0.000 0.000
## 114 0.850 0.112 0.000
## 115 0.889 0.088 0.000
## 116 0.906 0.136 0.000
## 117 0.907 0.048 0.000
## 118 0.945 0.132 0.000
## 119 0.612 0.068 0.786
## 120 0.605 0.040 0.806
## 121 0.606 -0.044 0.802
## 122 0.631 -0.075 0.776
## 123 0.659 -0.016 0.774
## 124 0.838 -0.069 0.757
## 125 0.668 -0.034 0.765
## 126 0.742 -0.016 0.743
## 127 0.736 -0.098 0.789
## 128 0.815 -0.068 0.721
## 129 0.875 -0.089 0.688
## 130 0.896 0.012 0.635
## 131 0.901 -0.043 0.701
## 132 0.902 -0.051 0.656
## 133 0.777 -0.009 0.742
## 134 0.707 -0.246 0.708
## 135 0.667 -0.225 0.695
## 136 0.640 -0.220 0.696
## 137 0.679 -0.203 0.676
## 138 0.700 -0.163 0.706
## 139 0.656 -0.168 0.672
## 140 0.645 -0.217 0.657
## 141 0.723 -0.177 0.653
## 142 0.647 -0.048 0.682
## 143 0.623 -0.091 0.669
## 144 0.658 -0.125 0.664
## 145 0.621 -0.122 0.654
## 146 0.644 -0.174 0.718
## 147 0.657 -0.186 0.546
## 148 0.924 0.000 0.598
## 149 0.901 0.069 0.721
## 150 0.887 0.007 0.652
## 151 0.807 0.022 0.697
## 152 0.880 -0.014 0.711
## 153 0.855 -0.050 0.758
## 154 0.891 0.017 0.574
## 155 0.861 0.001 0.512
## 156 0.869 0.062 0.469
## 157 0.866 -0.056 0.497
## 158 0.857 0.054 0.543
## 159 0.808 -0.125 0.630
## 160 0.776 -0.172 0.672
## 161 0.767 -0.164 0.634
## 162 0.705 0.033 0.769
## 163 0.874 0.022 0.782
## 164 0.580 -0.011 0.790
## 165 0.709 -0.004 0.825
## 166 0.773 -0.142 0.849
## 167 0.769 -0.111 0.806
## 168 0.783 -0.085 0.856
## 169 0.776 -0.096 0.855
## 170 0.733 -0.027 0.850
## 171 0.780 -0.065 0.838
## 172 0.727 -0.065 0.767
## 173 0.713 0.002 0.747
## 174 0.770 -0.016 0.698
## 175 0.783 -0.083 0.532
## 176 0.810 0.353 0.802
## 177 0.834 0.268 0.650
## 178 0.830 0.277 0.634
## 179 0.770 -0.044 0.794
## 180 0.780 0.001 0.817
## 181 0.726 -0.092 0.801
## 182 0.779 -0.036 0.763
## 183 0.703 -0.068 0.781
## 184 0.782 -0.039 0.825
## 185 0.862 -0.015 0.840
## 186 0.846 -0.067 0.812
## 187 0.881 0.018 0.832
## 188 0.884 -0.030 0.862
## 189 0.882 -0.047 0.853
## 190 0.884 -0.120 0.819
## 191 0.863 -0.093 0.786
## 192 0.881 -0.086 0.857
## 193 0.877 -0.054 0.868
## 194 0.342 0.006 0.926
## 195 0.258 -0.026 0.959
## 196 0.365 -0.128 0.933
## 197 0.333 -0.035 0.925
## 198 0.420 -0.013 0.953
## 199 0.390 0.042 0.970
## 200 0.412 0.232 0.976
## 201 0.631 -0.055 0.960
## 202 0.633 0.134 0.957
## 203 0.564 0.092 0.923
## 204 0.659 0.123 0.913
## 205 0.722 0.079 0.963
## 206 0.740 0.138 0.916
## 207 0.824 -0.195 0.723
## 208 0.858 -0.164 0.806
## 209 0.826 -0.143 0.814
## 210 0.813 -0.250 0.816
## 211 0.799 -0.203 0.814
## 212 0.767 -0.154 0.749
## 213 0.791 -0.105 0.743
## 214 0.857 -0.116 0.860
## 215 0.852 -0.253 0.729
## 216 0.817 -0.248 0.731
## 217 0.818 -0.254 0.807
## 218 0.833 -0.239 0.792
## 219 0.882 0.000 0.745
## 220 0.777 -0.016 0.728
## 221 0.782 -0.078 0.688
## 222 0.767 -0.055 0.723
## 223 0.806 -0.054 0.656
## 224 0.834 -0.072 0.662
## 225 0.849 0.000 0.623
## 226 0.785 -0.095 0.707
## 227 0.714 -0.115 0.710
## 228 0.799 -0.016 0.771
## 229 0.807 -0.100 0.781
## 230 0.765 -0.175 0.794
## 231 0.751 -0.117 0.763
## 232 0.830 -0.062 0.762
## 233 0.786 -0.053 0.729
## 234 0.566 -0.138 0.976
## 235 0.545 -0.144 0.941
## 236 0.664 -0.228 0.948
## 237 0.641 -0.172 0.938
## 238 0.603 -0.191 0.962
## 239 0.576 -0.055 0.955
## 240 0.637 -0.200 0.941
## 241 0.700 -0.170 0.936
## 242 0.689 -0.154 0.911
## 243 0.724 -0.176 0.952
## 244 0.822 -0.109 0.943
## 245 0.818 -0.004 0.901
## 246 0.588 0.028 0.798
## 247 0.582 -0.060 0.833
## 248 0.612 -0.101 0.887
## 249 0.587 -0.036 0.767
## 250 0.725 -0.105 0.707
## 251 0.622 -0.070 0.726
## 252 0.741 -0.016 0.765
## 253 0.710 -0.004 0.801
## 254 0.659 0.004 0.693
## 255 0.645 -0.001 0.721
## 256 0.614 -0.063 0.727
## 257 0.721 -0.013 0.757
## 258 0.678 -0.004 0.729
## 259 0.260 -0.019 0.860
## 260 0.427 -0.019 0.718
## 261 0.490 -0.062 0.677
## 262 0.431 -0.059 0.808
## 263 0.646 -0.024 0.599
## 264 0.000 0.255 0.829
## 265 0.819 0.116 0.879
## 266 0.914 0.045 0.888
## 267 0.937 0.152 0.965
## 268 0.940 0.350 0.896
## 269 0.927 0.418 0.775
## 270 0.956 0.247 0.890
## 271 0.941 0.164 0.812
## 272 0.938 0.239 0.843
## 273 0.956 0.210 0.825
## 274 0.958 0.076 0.840
## 275 0.964 0.088 0.821
## 276 0.958 0.036 0.000
## 277 0.957 0.013 0.828
## 278 0.963 0.052 0.863
## 279 0.653 -0.009 0.907
## 280 0.644 -0.031 0.910
## 281 0.580 -0.069 0.945
## 282 0.698 -0.017 0.925
## 283 0.792 0.002 0.875
## 284 0.817 -0.029 0.870
## 285 0.766 -0.032 0.898
## 286 0.794 -0.030 0.867
## 287 0.795 -0.071 0.856
## 288 0.791 0.049 0.868
## 289 0.713 -0.003 0.879
## 290 0.767 -0.028 0.844
## 291 0.816 0.036 0.884
## 292 0.712 -0.008 0.817
## 293 0.675 0.049 0.837
## 294 0.957 0.256 0.503
## 295 0.930 0.249 0.406
## 296 0.926 0.262 0.370
## 297 0.915 0.246 0.413
## 298 0.934 0.230 0.413
## 299 0.951 0.253 0.433
## 300 0.918 0.290 0.466
## 301 0.916 0.316 0.406
## 302 0.939 0.270 0.442
## 303 0.931 0.253 0.427
## 304 0.912 0.211 0.385
## 305 0.945 0.163 0.362
## 306 0.946 0.106 0.372
## 307 0.912 0.112 0.436
## 308 0.887 0.050 0.434
## 309 0.663 0.081 0.782
## 310 0.690 -0.036 0.845
## 311 0.780 -0.016 0.834
## 312 0.624 0.033 0.859
## 313 0.645 0.073 0.890
## 314 0.306 0.028 0.961
## 315 0.295 -0.011 0.874
## 316 0.527 0.063 0.944
## 317 0.401 0.021 0.931
## 318 0.505 0.025 0.858
## 319 0.540 0.031 0.876
## 320 0.563 -0.034 0.884
## 321 0.488 -0.045 0.882
## 322 0.567 -0.070 0.881
## 323 0.474 -0.029 0.889
## 324 0.525 0.052 0.820
## 325 0.615 0.008 0.792
## 326 0.650 0.024 0.763
## 327 0.537 0.055 0.832
## 328 0.744 0.168 0.634
## 329 0.662 0.244 0.723
## 330 0.640 0.084 0.741
## 331 0.747 0.149 0.734
## 332 0.786 0.108 0.702
## 333 0.701 0.112 0.753
## 334 0.734 0.195 0.782
## 335 0.737 0.085 0.741
## 336 0.733 0.217 0.758
## 337 0.769 0.041 0.812
## 338 0.652 0.102 0.858
## 339 0.790 -0.020 0.836
## 340 0.789 -0.060 0.816
## 341 0.659 -0.103 0.860
## 342 0.781 0.033 0.812
## 343 0.000 0.000 0.000
## 344 0.000 -0.176 0.000
## 345 0.853 -0.092 0.000
## 346 0.771 -0.160 0.000
## 347 0.805 -0.133 0.000
## 348 0.824 -0.186 0.000
## 349 0.808 -0.185 0.000
## 350 0.805 -0.158 0.000
## 351 0.000 -0.217 0.000
## 352 0.000 -0.244 0.000
## 353 0.000 -0.228 0.000
## 354 0.878 -0.175 0.000
## 355 0.895 -0.159 0.000
## 356 0.927 -0.173 0.000
## 357 0.891 -0.103 0.000
## 358 0.805 -0.015 0.808
## 359 0.786 -0.040 0.860
## 360 0.795 -0.042 0.763
## 361 0.757 -0.055 0.837
## 362 0.816 -0.050 0.815
## 363 0.811 -0.073 0.847
## 364 0.828 -0.009 0.868
## 365 0.841 -0.071 0.898
## 366 0.801 -0.090 0.887
## 367 0.791 -0.100 0.843
## 368 0.835 -0.100 0.898
## 369 0.838 -0.157 0.875
## 370 0.851 -0.148 0.855
## 371 0.822 -0.172 0.854
## 372 0.840 -0.085 0.808
## 373 0.508 -0.074 0.838
## 374 0.529 0.005 0.741
## 375 0.500 -0.075 0.732
## 376 0.534 -0.121 0.651
## 377 0.560 0.086 0.794
## 378 0.538 0.077 0.762
## 379 0.526 -0.098 0.000
## 380 0.745 -0.109 0.833
## 381 0.773 -0.112 0.800
## 382 0.726 -0.078 0.752
## 383 0.662 -0.110 0.808
## 384 0.850 -0.104 0.841
## 385 0.786 -0.072 0.790
## 386 0.778 -0.131 0.763
## 387 0.699 -0.092 0.738
## 388 0.686 -0.046 0.741
## 389 0.556 -0.022 0.824
## 390 0.631 -0.025 0.856
## 391 0.557 -0.035 0.807
## 392 0.480 0.012 0.913
## 393 0.556 0.009 0.814
## 394 0.574 -0.048 0.866
## 395 0.637 -0.024 0.875
## 396 0.704 0.068 0.809
## 397 0.882 0.060 0.798
## 398 0.923 0.098 0.820
## 399 0.912 0.096 0.816
## 400 0.886 0.065 0.787
## 401 0.881 0.047 0.763
## 402 0.926 -0.033 0.837
## 403 0.929 0.046 0.794
## 404 0.898 0.018 0.813
## 405 0.927 0.010 0.788
## 406 0.907 -0.059 0.761
## 407 0.873 -0.032 0.781
## 408 0.936 -0.076 0.742
## 409 0.942 -0.107 0.781
## 410 0.927 -0.146 0.836
## 411 0.662 -0.092 0.934
## 412 0.549 -0.271 0.958
## 413 0.564 -0.237 0.973
## 414 0.517 -0.198 0.977
## 415 0.542 -0.242 0.924
## 416 0.627 -0.204 0.936
## 417 0.519 0.132 0.918
## 418 0.694 -0.096 0.849
## 419 0.672 -0.065 0.884
## 420 0.716 -0.104 0.892
## 421 0.691 -0.151 0.925
## 422 0.739 -0.137 0.932
## 423 0.837 -0.063 0.961
## 424 0.281 0.000 0.000
## 425 0.836 0.018 0.712
## 426 0.775 0.054 0.801
## 427 0.755 0.073 0.833
## 428 0.745 0.180 0.841
## 429 0.725 0.098 0.871
## 430 0.656 0.102 0.867
## 431 0.715 0.060 0.868
## 432 0.628 0.114 0.893
## 433 0.756 -0.030 0.898
## 434 0.812 0.043 0.851
## 435 0.794 -0.022 0.848
## 436 0.740 -0.008 0.865
## 437 0.763 0.000 0.816
## 438 0.865 0.000 0.901
## 439 0.799 -0.063 0.928
## 440 0.779 -0.042 0.926
## 441 0.787 -0.106 0.950
## 442 0.740 -0.154 0.957
## 443 0.726 -0.156 0.916
## 444 0.800 -0.168 0.897
## 445 0.808 -0.146 0.886
## 446 0.850 -0.197 0.900
## 447 0.832 -0.177 0.867
## 448 0.790 -0.292 0.851
## 449 0.906 -0.127 0.884
## 450 0.971 0.000 0.237
## 451 0.932 0.240 0.206
## 452 0.970 0.272 0.248
## 453 0.949 0.264 0.206
## 454 0.944 0.242 0.175
## 455 0.935 0.298 0.220
## 456 0.933 0.139 0.187
## 457 0.920 0.215 0.170
## 458 0.942 0.118 0.237
## 459 0.941 0.222 0.191
## 460 0.948 0.138 0.210
## 461 0.955 0.155 0.181
## 462 0.935 0.018 0.151
## 463 0.963 0.020 0.174
## 464 0.938 0.052 0.214
## 465 0.773 0.129 0.576
## 466 0.649 0.005 0.634
## 467 0.764 -0.058 0.597
## 468 0.746 -0.057 0.519
## 469 0.858 0.038 0.755
## 470 0.886 -0.008 0.772
## 471 0.848 -0.045 0.728
## 472 0.863 -0.053 0.806
## 473 0.824 -0.075 0.780
## 474 0.848 0.014 0.788
## 475 0.840 -0.062 0.727
## 476 0.889 0.021 0.752
## 477 0.905 -0.020 0.760
## 478 0.856 -0.065 0.755
## 479 0.873 -0.080 0.737
## 480 0.855 -0.121 0.760
## 481 0.867 -0.150 0.762
## 482 0.877 -0.123 0.746
## 483 0.835 -0.128 0.636
## 484 0.671 -0.091 0.901
## 485 0.670 -0.063 0.830
## 486 0.640 -0.094 0.801
## 487 0.737 -0.108 0.774
## 488 0.723 -0.063 0.806
## 489 0.788 -0.155 0.702
## 490 0.825 -0.084 0.730
## 491 0.787 -0.191 0.646
## 492 0.719 -0.167 0.661
## 493 0.801 -0.114 0.666
## 494 0.846 -0.015 0.774
## 495 0.879 -0.167 0.734
## 496 0.869 -0.099 0.831
## 497 0.830 -0.115 0.839
## 498 0.829 -0.157 0.855
## 499 0.817 0.000 0.000
## 500 0.609 -0.121 0.000
## 501 0.000 -0.087 0.914
## 502 0.611 -0.100 0.801
## 503 0.486 -0.076 0.826
## 504 0.590 -0.151 0.859
## 505 0.452 -0.138 0.880
## 506 0.474 -0.141 0.913
## 507 0.578 -0.126 0.749
## 508 0.659 -0.089 0.684
## 509 0.656 -0.141 0.818
## 510 0.593 -0.152 0.000
## 511 0.682 -0.215 0.000
## 512 0.774 -0.199 0.000
## 513 0.770 -0.112 0.000
## 514 0.683 -0.056 0.807
## 515 0.639 -0.015 0.785
## 516 0.636 -0.078 0.735
## 517 0.671 -0.103 0.648
## 518 0.669 -0.064 0.694
## 519 0.747 -0.126 0.707
## 520 0.683 -0.155 0.786
## 521 0.716 -0.150 0.772
## 522 0.778 -0.194 0.781
## 523 0.733 -0.156 0.805
## 524 0.800 -0.185 0.797
## 525 0.758 -0.172 0.778
## 526 0.863 -0.095 0.801
## 527 0.877 -0.109 0.682
## 528 0.924 -0.126 0.583
## 529 0.749 -0.264 0.797
## 530 0.712 -0.246 0.743
## 531 0.642 -0.217 0.663
## 532 0.611 -0.230 0.793
## 533 0.735 -0.168 0.687
## 534 0.697 -0.192 0.793
## 535 0.754 -0.201 0.726
## 536 0.773 -0.153 0.652
## 537 0.815 -0.164 0.569
## 538 0.843 -0.149 0.639
## 539 0.862 -0.101 0.668
## 540 0.886 -0.141 0.621
## 541 0.887 -0.096 0.576
## 542 0.954 -0.082 0.398
## 543 0.776 -0.044 0.000
## 544 0.707 -0.008 0.750
## 545 0.694 0.080 0.702
## 546 0.803 0.113 0.567
## 547 0.744 0.038 0.703
## 548 0.717 0.001 0.757
## 549 0.740 0.039 0.799
## 550 0.754 0.053 0.732
## 551 0.769 0.188 0.784
## 552 0.969 -0.005 0.132
## 553 0.934 0.028 0.217
## 554 0.916 0.091 0.413
## 555 0.936 0.101 0.320
## 556 0.921 -0.001 0.361
## 557 0.919 0.040 0.306
## 558 0.933 -0.001 0.265
## 559 0.930 0.111 0.223
## 560 0.948 -0.027 0.250
## 561 0.962 -0.002 0.192
## 562 0.938 -0.127 0.199
## 563 0.948 -0.052 0.195
## 564 0.962 -0.116 0.164
## 565 0.895 0.000 0.688
## 566 0.789 0.126 0.699
## 567 0.833 -0.031 0.669
## 568 0.798 -0.082 0.654
## 569 0.850 -0.104 0.623
## 570 0.903 -0.102 0.627
## 571 0.841 -0.149 0.608
## 572 0.878 -0.125 0.699
## 573 0.803 -0.118 0.656
## 574 0.817 -0.139 0.641
## 575 0.787 -0.091 0.623
## 576 0.834 -0.123 0.601
## 577 0.816 -0.138 0.582
## 578 0.827 -0.133 0.568
## 579 0.823 -0.169 0.565
## 580 0.772 -0.211 0.851
## 581 0.566 -0.195 0.810
## 582 0.682 -0.146 0.780
## 583 0.607 -0.198 0.782
## 584 0.671 -0.194 0.867
## 585 0.699 -0.204 0.817
## 586 0.652 -0.228 0.868
## 587 0.719 -0.197 0.823
## 588 0.736 -0.203 0.846
## 589 0.812 0.111 0.572
## 590 0.719 0.440 0.691
## 591 0.677 0.410 0.798
## 592 0.553 -0.267 0.752
## 593 0.464 -0.267 0.697
## 594 0.614 -0.224 0.498
## 595 0.495 -0.233 0.535
## 596 0.558 -0.248 0.460
## 597 0.632 -0.255 0.353
## 598 0.659 -0.269 0.321
## 599 0.722 -0.254 0.349
## 600 0.720 -0.233 0.416
## 601 0.640 -0.205 0.502
## 602 0.606 -0.249 0.561
## 603 0.821 -0.244 0.590
## 604 0.775 -0.233 0.755
## 605 0.811 -0.260 0.647
## 606 0.764 -0.221 0.583
## 607 0.847 0.000 0.781
## 608 0.801 0.167 0.792
## 609 0.766 0.000 0.758
## 610 0.844 0.127 0.690
## 611 0.843 0.095 0.688
## 612 0.906 0.033 0.677
## 613 0.904 0.071 0.679
## 614 0.894 0.024 0.566
## 615 0.899 0.088 0.474
## 616 0.889 0.178 0.412
## 617 0.871 0.148 0.446
## 618 0.841 0.145 0.414
## 619 0.877 0.034 0.496
## 620 0.885 0.057 0.462
## 621 0.864 -0.060 0.424
## 622 0.849 0.213 0.814
## 623 0.891 0.138 0.771
## 624 0.838 0.120 0.863
## 625 0.757 0.005 0.890
## 626 0.891 0.074 0.875
## 627 0.852 0.011 0.790
## 628 0.679 0.040 0.898
## 629 0.794 -0.065 0.880
## 630 0.677 0.001 0.913
## 631 0.852 -0.038 0.945
## 632 0.751 0.090 0.894
## 633 0.783 0.079 0.839
## 634 0.817 0.062 0.846
## 635 0.787 0.116 0.857
## 636 0.824 0.200 0.847
## 637 0.734 0.000 0.861
## 638 0.575 -0.190 0.845
## 639 0.443 -0.293 0.959
## 640 0.484 -0.303 0.954
## 641 0.528 -0.316 0.941
## 642 0.373 -0.305 0.959
## 643 0.426 -0.272 0.941
## 644 0.369 -0.288 0.930
## 645 0.532 -0.272 0.824
## 646 0.482 -0.260 0.898
## 647 0.438 -0.290 0.872
## 648 0.564 -0.335 0.860
## 649 0.614 -0.289 0.848
## 650 0.565 -0.241 0.764
## 651 0.663 0.172 0.706
## 652 0.628 0.136 0.810
## 653 0.630 0.206 0.796
## 654 0.643 0.197 0.755
## 655 0.696 0.166 0.795
## 656 0.763 0.009 0.863
## 657 0.865 0.020 0.821
## 658 0.884 0.045 0.817
## 659 0.843 0.108 0.804
## 660 0.869 0.051 0.822
## 661 0.863 0.011 0.812
## 662 0.915 -0.059 0.800
## 663 0.910 -0.010 0.765
## 664 0.901 -0.062 0.773
## 665 0.797 0.041 0.743
## 666 0.646 0.001 0.794
## 667 0.693 0.091 0.815
## 668 0.684 0.006 0.705
## 669 0.666 0.007 0.762
## 670 0.726 -0.056 0.803
## 671 0.738 0.038 0.750
## 672 0.731 0.092 0.778
## 673 0.691 0.097 0.756
## 674 0.694 0.110 0.836
## 675 0.449 0.401 0.854
## 676 0.465 0.261 0.812
## 677 0.373 0.216 0.848
## 678 0.413 0.243 0.682
## 679 0.482 0.289 0.717
## 680 0.610 0.289 0.669
## 681 0.509 0.285 0.708
## 682 0.398 0.306 0.777
## 683 0.304 0.291 0.839
## 684 0.484 0.381 0.647
## 685 0.591 0.422 0.720
## 686 0.650 0.089 0.844
## 687 0.676 0.230 0.826
## 688 0.687 0.223 0.863
## 689 0.661 0.119 0.857
## 690 0.646 0.105 0.820
## 691 0.783 0.095 0.884
## 692 0.700 -0.003 0.871
## 693 0.698 -0.027 0.868
## 694 0.696 0.015 0.834
## 695 0.534 -0.097 0.848
## 696 0.850 0.080 0.793
## 697 0.898 0.072 0.783
## 698 0.872 0.099 0.804
## 699 0.846 0.063 0.815
## 700 0.910 0.156 0.356
## 701 0.922 0.296 0.274
## 702 0.918 0.308 0.272
## 703 0.890 0.332 0.256
## 704 0.894 0.235 0.245
## 705 0.880 0.222 0.380
## 706 0.843 0.224 0.423
## 707 0.800 0.100 0.403
## 708 0.831 0.140 0.416
## 709 0.727 0.067 0.432
## 710 0.705 0.000 0.380
## 711 0.697 0.000 0.903
## 712 0.538 -0.161 0.895
## 713 0.464 -0.125 0.915
## 714 0.514 -0.145 0.983
## 715 0.631 -0.089 0.940
## 716 0.569 -0.136 0.930
## 717 0.674 -0.113 0.912
## 718 0.494 -0.150 0.855
## 719 0.558 -0.198 0.908
## 720 0.554 -0.187 0.924
## 721 0.661 -0.139 0.886
## 722 0.693 -0.243 0.911
## 723 0.798 -0.195 0.884
## 724 0.771 -0.120 0.836
## 725 0.885 0.272 0.708
## 726 0.905 0.241 0.759
## 727 0.923 0.306 0.713
## 728 0.940 0.301 0.639
## 729 0.952 0.281 0.719
## 730 0.939 0.246 0.727
## 731 0.959 0.000 0.699
## 732 0.949 0.160 0.644
## 733 0.774 0.000 0.855
## 734 0.729 -0.051 0.862
## 735 0.756 -0.072 0.891
## 736 0.679 -0.026 0.895
## 737 0.783 0.058 0.863
## 738 0.838 -0.038 0.908
## 739 0.609 0.067 0.830
## 740 0.740 0.084 0.832
## 741 0.809 -0.026 0.832
## 742 0.777 -0.005 0.776
## 743 0.820 0.046 0.765
## 744 0.886 -0.042 0.781
## 745 0.890 0.085 0.805
## 746 0.876 0.112 0.752
## 747 0.906 0.075 0.780
## 748 0.713 0.347 0.915
## 749 0.603 0.311 0.960
## 750 0.596 0.164 0.968
## 751 0.784 0.191 0.911
## 752 0.700 0.448 0.954
## 753 0.878 0.438 0.962
## 754 0.770 0.354 0.962
## 755 0.781 0.376 0.973
## 756 0.719 0.408 0.970
## 757 0.779 0.471 0.946
## 758 0.830 0.500 0.890
## 759 0.865 0.488 0.900
## 760 0.879 0.512 0.868
## 761 0.866 0.555 0.861
## 762 0.651 0.000 0.636
## 763 0.533 0.056 0.872
## 764 0.601 0.052 0.868
## 765 0.798 0.200 0.665
## 766 0.764 0.000 0.678
## 767 0.730 0.216 0.685
## 768 0.767 0.241 0.640
## 769 0.780 0.176 0.699
## 770 0.773 0.186 0.713
## 771 0.731 0.218 0.715
## 772 0.603 0.000 0.703
## 773 0.623 0.000 0.728
## 774 0.600 0.000 0.710
## 775 0.386 -0.061 0.910
## 776 0.431 -0.199 0.854
## 777 0.419 -0.125 0.859
## 778 0.347 -0.070 0.780
## 779 0.315 -0.020 0.789
## 780 0.000 -0.050 0.710
## 781 0.646 -0.001 0.726
## 782 0.599 0.019 0.762
## 783 0.666 -0.052 0.799
## 784 0.628 0.000 0.757
## 785 0.598 -0.068 0.887
## 786 0.700 -0.021 0.849
## 787 0.943 0.242 0.473
## 788 0.894 0.322 0.487
## 789 0.835 0.315 0.580
## 790 0.856 0.348 0.618
## 791 0.952 0.383 0.590
## 792 0.902 0.302 0.573
## 793 0.884 0.331 0.558
## 794 0.922 0.264 0.406
## 795 0.892 0.233 0.409
## 796 0.875 0.174 0.399
## 797 0.905 0.216 0.337
## 798 0.861 0.144 0.362
## 799 0.892 0.074 0.373
## 800 0.882 0.014 0.356
## 801 0.817 0.000 0.905
## 802 0.683 0.219 0.868
## 803 0.663 0.139 0.898
## 804 0.593 0.172 0.923
## 805 0.561 0.150 0.902
## 806 0.722 0.141 0.891
## 807 0.681 0.153 0.862
## 808 0.739 0.150 0.849
## 809 0.707 0.094 0.818
## 810 0.753 0.108 0.789
## 811 0.772 0.153 0.804
## 812 0.768 0.145 0.793
## 813 0.725 0.055 0.770
## 814 0.834 0.085 0.743
## 815 0.831 -0.049 0.748
## 816 0.802 0.000 0.944
## 817 0.684 0.113 0.922
## 818 0.543 0.049 0.946
## 819 0.701 0.240 0.890
## 820 0.738 -0.060 0.921
## 821 0.568 -0.018 0.933
## 822 0.570 0.113 0.908
## 823 0.499 -0.102 0.943
## 824 0.624 -0.065 0.920
## 825 0.575 -0.064 0.913
## 826 0.624 -0.081 0.903
## 827 0.633 -0.035 0.867
## 828 0.650 -0.021 0.888
## 829 0.709 -0.082 0.866
## 830 0.718 -0.150 0.844
## 831 0.760 -0.153 0.902
## 832 0.739 -0.031 0.691
## 833 0.781 -0.080 0.671
## 834 0.800 -0.053 0.744
## 835 0.769 -0.043 0.757
## 836 0.732 -0.111 0.771
## 837 0.713 -0.050 0.791
## 838 0.736 -0.017 0.799
## 839 0.770 0.016 0.777
## 840 0.738 -0.004 0.946
## 841 0.796 -0.064 0.909
## 842 0.793 -0.021 0.931
## 843 0.809 -0.001 0.861
## 844 0.861 -0.130 0.883
## 845 0.891 -0.137 0.885
## 846 0.868 0.000 0.699
## 847 0.796 -0.090 0.809
## 848 0.772 -0.135 0.816
## 849 0.730 -0.210 0.740
## 850 0.772 -0.140 0.770
## 851 0.814 -0.052 0.734
## 852 0.753 0.000 0.692
## 853 0.821 -0.147 0.650
## 854 0.838 -0.139 0.617
## 855 0.832 -0.155 0.654
## 856 0.836 -0.062 0.698
## 857 0.849 -0.206 0.659
## 858 0.773 -0.261 0.687
## 859 0.806 -0.255 0.617
## 860 0.806 -0.259 0.609
## 861 0.000 0.000 0.670
## 862 0.646 -0.112 0.664
## 863 0.000 -0.127 0.709
## 864 0.771 -0.075 0.739
## 865 0.788 -0.046 0.000
## 866 0.760 -0.143 0.000
## 867 0.693 -0.160 0.000
## 868 0.692 -0.117 0.000
## 869 0.729 -0.104 0.000
## 870 0.767 -0.046 0.000
## 871 0.771 -0.038 0.000
## 872 0.766 -0.152 0.000
## 873 0.762 -0.186 0.000
## 874 0.726 -0.165 0.000
## 875 0.779 -0.150 0.000
## 876 0.731 -0.274 0.865
## 877 0.806 -0.246 0.865
## 878 0.727 -0.221 0.899
## 879 0.856 -0.249 0.845
## 880 0.785 -0.215 0.823
## 881 0.878 -0.235 0.802
## 882 0.840 -0.171 0.877
## 883 0.782 -0.229 0.820
## 884 0.799 0.004 0.805
## 885 0.740 -0.037 0.714
## 886 0.783 -0.036 0.702
## 887 0.745 -0.035 0.755
## 888 0.840 -0.098 0.824
## 889 0.852 -0.055 0.708
## 890 0.872 -0.056 0.661
## 891 0.616 -0.020 0.860
## 892 0.750 0.054 0.799
## 893 0.620 -0.012 0.909
## 894 0.584 0.100 0.913
## 895 0.635 0.019 0.918
## 896 0.709 0.022 0.923
## 897 0.628 0.066 0.911
## 898 0.708 0.212 0.861
## 899 0.819 0.172 0.849
## 900 0.793 0.221 0.853
## 901 0.749 0.298 0.828
## 902 0.853 0.234 0.854
## 903 0.821 0.291 0.844
## 904 0.818 0.310 0.794
## 905 0.702 0.260 0.837
## 906 0.381 0.144 0.894
## 907 0.000 0.090 0.849
## 908 0.506 0.201 0.968
## 909 0.451 0.170 0.967
## 910 0.589 0.004 0.919
## 911 0.636 0.027 0.950
## 912 0.568 0.115 0.935
## 913 0.441 0.012 0.775
## 914 0.561 0.181 0.851
## 915 0.827 0.125 0.941
## 916 0.858 0.117 0.925
## 917 0.890 0.269 0.922
## 918 0.841 0.247 0.920
## 919 0.880 0.000 0.910
## 920 0.769 -0.236 0.328
## 921 0.819 0.007 0.675
## 922 0.703 -0.031 0.486
## 923 0.769 0.000 0.560
## 924 0.934 0.000 0.000
## 925 0.751 0.000 0.000
## 926 0.000 0.000 0.000
## 927 0.822 0.082 0.000
## 928 0.841 -0.075 0.000
## 929 0.884 -0.005 0.000
## 930 0.867 -0.104 0.000
## 931 0.678 -0.140 0.879
## 932 0.684 -0.091 0.929
## 933 0.719 -0.100 0.923
## 934 0.699 -0.140 0.896
## 935 0.720 -0.072 0.926
## 936 0.748 -0.155 0.932
## 937 0.703 -0.079 0.892
## 938 0.755 -0.085 0.900
## 939 0.736 0.355 0.897
## 940 0.813 0.200 0.858
## 941 0.814 0.056 0.917
## 942 0.859 0.143 0.874
## 943 0.945 0.267 0.907
## 944 0.920 -0.002 0.885
## 945 0.935 0.103 0.931
## 946 0.925 0.439 0.688
## 947 0.867 0.478 0.580
## 948 0.886 0.416 0.637
## 949 0.882 0.459 0.587
## 950 0.000 0.232 0.000
## 951 0.891 0.073 0.592
## 952 0.907 0.141 0.634
## 953 0.906 0.061 0.620
## 954 0.915 0.141 0.748
## 955 0.641 -0.229 0.937
## 956 0.700 -0.167 0.924
## 957 0.630 -0.203 0.926
## 958 0.437 -0.180 0.942
## 959 0.564 -0.002 0.934
## 960 0.564 -0.038 0.895
## 961 0.631 -0.073 0.837
## 962 0.671 -0.043 0.804
## 963 0.656 -0.077 0.808
## 964 0.685 -0.156 0.868
## 965 0.700 -0.154 0.798
## 966 0.608 -0.212 0.799
## 967 0.698 -0.194 0.789
## 968 0.820 -0.078 0.809
## 969 0.703 0.000 0.945
## 970 0.670 0.069 0.902
## 971 0.524 0.035 0.927
## 972 0.665 0.071 0.937
## 973 0.678 0.073 0.949
## 974 0.657 0.006 0.911
## 975 0.621 -0.006 0.856
## 976 0.655 -0.004 0.921
## 977 0.657 -0.012 0.939
## 978 0.597 0.073 0.889
## 979 0.657 0.031 0.853
## 980 0.605 -0.074 0.911
## 981 0.607 -0.066 0.907
## 982 0.447 -0.081 0.890
## 983 0.618 -0.087 0.768
## 984 0.729 -0.099 0.743
## 985 0.757 -0.145 0.797
## 986 0.716 -0.131 0.915
## 987 0.790 0.115 0.776
## 988 0.724 -0.035 0.840
## 989 0.819 -0.038 0.818
## 990 0.590 -0.030 0.869
## 991 0.671 -0.061 0.903
## 992 0.763 0.033 0.901
## 993 0.733 -0.012 0.867
## 994 0.766 0.050 0.868
## 995 0.706 0.051 0.828
## 996 0.712 -0.032 0.791
## 997 0.775 -0.044 0.000
## 998 0.822 -0.089 0.000
## 999 0.779 -0.019 0.673
## 1000 0.781 -0.101 0.646
## 1001 0.762 -0.073 0.686
## 1002 0.567 -0.295 0.967
## 1003 0.590 -0.282 0.966
## 1004 0.621 -0.259 0.961
## 1005 0.496 -0.303 0.979
## 1006 0.519 -0.275 0.962
## 1007 0.566 -0.148 0.964
## 1008 0.503 -0.273 0.957
## 1009 0.556 -0.237 0.936
## 1010 0.508 -0.263 0.956
## 1011 0.641 -0.254 0.924
## 1012 0.614 -0.266 0.949
## 1013 0.749 -0.174 0.790
## 1014 0.699 -0.237 0.852
## 1015 0.780 -0.251 0.783
## 1016 0.824 -0.122 0.829
## 1017 0.939 0.127 0.432
## 1018 0.908 0.096 0.423
## 1019 0.962 0.106 0.388
## 1020 0.917 0.059 0.403
## 1021 0.790 -0.054 0.301
## 1022 0.938 0.106 0.366
## 1023 0.932 0.052 0.375
## 1024 0.882 0.019 0.356
## 1025 0.903 0.044 0.330
## 1026 0.884 -0.022 0.385
## 1027 0.930 -0.045 0.390
## 1028 0.000 -0.039 0.000
## 1029 0.332 -0.099 0.773
## 1030 0.546 -0.062 0.897
## 1031 0.487 -0.055 0.854
## 1032 0.480 -0.019 0.868
## 1033 0.529 -0.023 0.791
## 1034 0.545 -0.041 0.861
## 1035 0.570 -0.069 0.864
## 1036 0.570 -0.033 0.847
## 1037 0.551 0.003 0.889
## 1038 0.550 -0.012 0.720
## 1039 0.767 0.200 0.676
## 1040 0.910 0.202 0.691
## 1041 0.879 0.176 0.689
## 1042 0.733 0.099 0.853
## 1043 0.637 0.169 0.886
## 1044 0.752 0.078 0.857
## 1045 0.786 0.061 0.824
## 1046 0.801 0.058 0.835
## 1047 0.810 0.066 0.824
## 1048 0.848 0.025 0.735
## 1049 0.799 0.073 0.766
## 1050 0.765 0.004 0.680
## 1051 0.837 0.201 0.740
## 1052 0.844 0.089 0.799
## 1053 0.780 0.044 0.884
## 1054 0.874 -0.009 0.858
## 1055 0.769 0.032 0.844
## 1056 0.840 -0.016 0.842
## 1057 0.848 0.017 0.847
## 1058 0.791 0.264 0.755
## 1059 0.808 0.239 0.845
## 1060 0.675 0.222 0.838
## 1061 0.875 0.127 0.894
## 1062 0.916 0.123 0.782
## 1063 0.855 0.024 0.000
## 1064 0.555 -0.072 0.761
## 1065 0.495 -0.012 0.918
## 1066 0.634 0.008 0.819
## 1067 0.749 -0.028 0.811
## 1068 0.823 -0.101 0.726
## 1069 0.704 -0.088 0.787
## 1070 0.665 -0.053 0.755
## 1071 0.652 -0.037 0.658
## 1072 0.634 -0.068 0.800
## 1073 0.696 -0.070 0.862
## 1074 0.753 -0.069 0.863
## 1075 0.737 -0.034 0.793
## 1076 0.670 -0.038 0.846
## 1077 0.803 0.464 0.000
## 1078 0.802 0.287 0.000
## 1079 0.882 0.296 0.000
## 1080 0.861 0.352 0.000
## 1081 0.909 0.410 0.000
## 1082 0.904 0.404 0.670
## 1083 0.912 0.347 0.664
## 1084 0.916 0.345 0.696
## 1085 0.924 0.253 0.690
## 1086 0.927 0.179 0.595
## 1087 0.924 0.087 0.689
## 1088 0.931 0.000 0.675
## 1089 0.573 -0.072 0.586
## 1090 0.593 -0.018 0.841
## 1091 0.735 0.039 0.848
## 1092 0.669 0.055 0.727
## 1093 0.567 0.052 0.747
## 1094 0.487 -0.021 0.707
## 1095 0.603 -0.079 0.676
## 1096 0.468 -0.054 0.589
## 1097 0.447 0.055 0.715
## 1098 0.467 -0.175 0.842
## 1099 0.527 -0.153 0.777
## 1100 0.467 -0.112 0.711
## 1101 0.628 -0.102 0.743
## 1102 0.848 0.191 0.847
## 1103 0.824 0.176 0.879
## 1104 0.819 0.139 0.891
## 1105 0.912 0.087 0.818
## 1106 0.867 -0.073 0.785
## 1107 0.893 -0.053 0.810
## 1108 0.843 -0.037 0.772
## 1109 0.814 0.000 0.764
## 1110 0.670 -0.095 0.747
## 1111 0.677 -0.128 0.785
## 1112 0.682 -0.076 0.764
## 1113 0.778 -0.048 0.693
## 1114 0.831 -0.099 0.698
## 1115 0.788 -0.093 0.633
## 1116 0.739 -0.165 0.615
## 1117 0.779 -0.094 0.630
## 1118 0.719 -0.152 0.708
## 1119 0.752 -0.153 0.809
## 1120 0.861 -0.202 0.801
## 1121 0.816 -0.179 0.809
## 1122 0.903 -0.141 0.809
## 1123 0.873 -0.119 0.778
## 1124 0.554 -0.164 0.926
## 1125 0.696 -0.186 0.930
## 1126 0.641 -0.056 0.926
## 1127 0.551 -0.099 0.925
## 1128 0.598 -0.088 0.929
## 1129 0.628 -0.082 0.957
## 1130 0.602 -0.050 0.955
## 1131 0.658 -0.069 0.941
## 1132 0.623 -0.113 0.925
## 1133 0.595 -0.090 0.943
## 1134 0.557 -0.047 0.969
## 1135 0.553 -0.053 0.926
## 1136 0.824 -0.084 0.929
## 1137 0.784 -0.092 0.884
## 1138 0.859 -0.058 0.941
## 1139 0.781 0.064 0.918
## 1140 0.484 0.068 0.962
## 1141 0.631 0.099 0.928
## 1142 0.700 0.151 0.931
## 1143 0.688 0.107 0.932
## 1144 0.748 0.136 0.928
## 1145 0.752 0.146 0.909
## 1146 0.686 0.173 0.900
## 1147 0.760 0.090 0.900
## 1148 0.675 0.119 0.865
## 1149 0.696 0.054 0.849
## 1150 0.711 0.149 0.873
## 1151 0.718 0.141 0.843
## 1152 0.512 -0.134 0.815
## 1153 0.556 -0.101 0.838
## 1154 0.552 -0.206 0.757
## 1155 0.546 -0.226 0.762
## 1156 0.462 -0.192 0.755
## 1157 0.502 -0.176 0.693
## 1158 0.503 0.097 0.768
## 1159 0.583 -0.144 0.781
## 1160 0.569 -0.087 0.849
## 1161 0.626 -0.083 0.756
## 1162 0.626 -0.051 0.769
## 1163 0.694 -0.105 0.820
## 1164 0.802 0.060 0.845
## 1165 0.663 -0.162 0.900
## 1166 0.579 -0.218 0.875
## 1167 0.757 -0.187 0.845
## 1168 0.572 -0.210 0.771
## 1169 0.713 -0.228 0.842
## 1170 0.817 -0.237 0.717
## 1171 0.814 -0.216 0.841
## 1172 0.773 -0.234 0.843
## 1173 0.757 -0.244 0.757
## 1174 0.819 -0.229 0.803
## 1175 0.684 0.041 0.758
## 1176 0.643 0.074 0.854
## 1177 0.514 0.006 0.864
## 1178 0.639 -0.024 0.719
## 1179 0.813 0.089 0.632
## 1180 0.823 -0.030 0.682
## 1181 0.897 0.049 0.691
## 1182 0.870 0.073 0.682
## 1183 0.691 0.645 0.695
## 1184 0.775 0.689 0.638
## 1185 0.000 0.698 0.592
## 1186 0.808 0.688 0.633
## 1187 0.877 0.679 0.607
## 1188 0.886 0.650 0.619
## 1189 0.906 0.490 0.647
## 1190 0.899 0.561 0.682
## 1191 0.825 0.470 0.647
## 1192 0.781 -0.101 0.839
## 1193 0.849 -0.183 0.790
## 1194 0.810 -0.190 0.831
## 1195 0.754 -0.169 0.846
## 1196 0.739 -0.174 0.879
## 1197 0.666 -0.104 0.810
## 1198 0.689 0.000 0.897
## 1199 0.413 0.317 0.891
## 1200 0.618 0.291 0.900
## 1201 0.616 0.044 0.950
## 1202 0.519 0.092 0.911
## 1203 0.525 -0.010 0.935
## 1204 0.638 0.070 0.883
## 1205 0.722 0.151 0.877
## 1206 0.712 0.121 0.841
## 1207 0.763 0.227 0.824
## 1208 0.839 0.168 0.817
## 1209 0.845 0.134 0.770
## 1210 0.770 0.122 0.742
## 1211 0.790 0.167 0.712
## 1212 0.901 0.000 0.571
## 1213 0.896 0.344 0.445
## 1214 0.883 0.365 0.419
## 1215 0.921 0.349 0.399
## 1216 0.925 0.336 0.359
## 1217 0.877 0.288 0.434
## 1218 0.919 0.305 0.505
## 1219 0.910 0.331 0.457
## 1220 0.904 0.261 0.412
## 1221 0.907 0.239 0.433
## 1222 0.920 0.250 0.363
## 1223 0.920 0.161 0.371
## 1224 0.886 0.213 0.360
## 1225 0.935 0.151 0.281
## 1226 0.932 0.312 0.224
## 1227 0.878 0.279 0.295
## 1228 0.893 0.298 0.334
## 1229 0.918 0.254 0.321
## 1230 0.935 0.284 0.269
## 1231 0.902 0.287 0.289
## 1232 0.944 0.237 0.312
## 1233 0.932 0.348 0.273
## 1234 0.942 0.329 0.186
## 1235 0.927 0.266 0.278
## 1236 0.942 0.294 0.222
## 1237 0.949 0.120 0.207
## 1238 0.912 0.157 0.234
## 1239 0.918 0.125 0.283
## 1240 0.745 0.010 0.844
## 1241 0.836 0.140 0.826
## 1242 0.791 0.076 0.819
## 1243 0.746 0.070 0.794
## 1244 0.792 0.018 0.802
## 1245 0.779 -0.020 0.760
## 1246 0.850 0.017 0.644
## 1247 0.859 0.039 0.636
## 1248 0.817 0.104 0.699
## 1249 0.809 0.077 0.728
## 1250 0.717 0.039 0.731
## 1251 0.922 0.010 0.673
## 1252 0.797 0.009 0.713
## 1253 0.883 0.029 0.622
## 1254 0.750 0.076 0.755
## 1255 0.584 -0.056 0.748
## 1256 0.649 -0.055 0.749
## 1257 0.880 -0.009 0.483
## 1258 0.817 -0.023 0.529
## 1259 0.780 -0.055 0.549
## 1260 0.734 -0.064 0.777
## 1261 0.825 -0.077 0.711
## 1262 0.688 -0.046 0.605
## 1263 0.728 -0.032 0.703
## 1264 0.702 -0.016 0.814
## 1265 0.684 -0.030 0.778
## 1266 0.791 0.009 0.637
## 1267 0.831 0.026 0.729
## 1268 0.649 0.085 0.871
## 1269 0.635 0.136 0.918
## 1270 0.584 0.119 0.892
## 1271 0.537 0.067 0.913
## 1272 0.565 0.067 0.911
## 1273 0.652 0.066 0.900
## 1274 0.622 0.051 0.905
## 1275 0.680 -0.035 0.926
## 1276 0.798 0.043 0.905
## 1277 0.826 0.124 0.835
## 1278 0.790 -0.010 0.866
## 1279 0.729 0.032 0.873
## 1280 0.713 0.099 0.913
## 1281 0.693 0.000 0.855
## 1282 0.775 0.000 0.715
## 1283 0.830 0.000 0.692
## 1284 0.785 0.000 0.659
## 1285 0.796 0.000 0.670
## 1286 0.797 0.000 0.614
## 1287 0.793 0.000 0.640
## 1288 0.439 0.080 0.870
## 1289 0.552 -0.042 0.844
## 1290 0.513 -0.058 0.856
## 1291 0.607 -0.087 0.865
## 1292 0.613 -0.084 0.920
## 1293 0.641 0.025 0.861
## 1294 0.645 0.035 0.861
## 1295 0.660 -0.047 0.824
## 1296 0.706 0.080 0.870
## 1297 0.752 -0.059 0.856
## 1298 0.745 -0.041 0.910
## 1299 0.725 0.024 0.923
## 1300 0.787 0.131 0.877
## 1301 0.960 0.109 0.397
## 1302 0.947 0.018 0.503
## 1303 0.947 0.147 0.368
## 1304 0.956 0.181 0.405
## 1305 0.948 0.257 0.299
## 1306 0.954 0.133 0.410
## 1307 0.953 0.236 0.250
## 1308 0.960 0.094 0.268
## 1309 0.954 0.111 0.271
## 1310 0.965 0.075 0.271
## 1311 0.916 0.025 0.000
## 1312 0.630 0.000 0.844
## 1313 0.396 0.089 0.794
## 1314 0.335 0.100 0.848
## 1315 0.388 0.077 0.874
## 1316 0.364 0.300 0.852
## 1317 0.376 0.030 0.857
## 1318 0.367 0.165 0.842
## 1319 0.448 0.100 0.792
## 1320 0.543 0.140 0.677
## 1321 0.587 0.085 0.717
## 1322 0.634 0.095 0.793
## 1323 0.713 0.045 0.714
## 1324 0.773 0.069 0.799
## 1325 0.685 0.124 0.776
## 1326 0.547 0.000 0.858
## 1327 0.365 -0.080 0.844
## 1328 0.358 -0.070 0.753
## 1329 0.468 -0.085 0.797
## 1330 0.504 -0.117 0.752
## 1331 0.522 -0.127 0.750
## 1332 0.542 -0.153 0.730
## 1333 0.454 -0.150 0.780
## 1334 0.657 -0.147 0.804
## 1335 0.556 -0.153 0.774
## 1336 0.608 -0.129 0.812
## 1337 0.632 -0.163 0.831
## 1338 0.655 0.000 0.814
## 1339 0.653 0.000 0.829
## 1340 0.882 -0.047 0.912
## 1341 0.640 0.083 0.915
## 1342 0.707 0.060 0.881
## 1343 0.721 0.014 0.889
## 1344 0.755 -0.009 0.880
## 1345 0.829 0.009 0.840
## 1346 0.783 -0.002 0.796
## 1347 0.811 0.018 0.814
## 1348 0.894 0.002 0.847
## 1349 0.847 -0.007 0.810
## 1350 0.884 -0.102 0.837
## 1351 0.900 -0.170 0.841
## 1352 0.861 -0.131 0.837
## 1353 0.883 -0.199 0.869
## 1354 0.691 0.066 0.841
## 1355 0.699 0.132 0.930
## 1356 0.649 0.057 0.891
## 1357 0.718 0.027 0.857
## 1358 0.726 0.076 0.780
## 1359 0.666 0.191 0.756
## 1360 0.748 0.200 0.774
## 1361 0.909 0.046 0.903
## 1362 0.759 -0.002 0.762
## 1363 0.806 -0.008 0.863
## 1364 0.854 -0.071 0.756
## 1365 0.891 0.003 0.810
## 1366 0.876 0.028 0.882
## 1367 0.668 -0.071 0.895
## 1368 0.638 -0.078 0.931
## 1369 0.638 -0.067 0.896
## 1370 0.638 -0.079 0.880
## 1371 0.757 -0.060 0.881
## 1372 0.773 -0.123 0.824
## 1373 0.703 -0.079 0.867
## 1374 0.703 -0.066 0.870
## 1375 0.722 -0.136 0.878
## 1376 0.802 -0.090 0.884
## 1377 0.830 -0.134 0.866
## 1378 0.827 -0.154 0.895
## 1379 0.830 -0.178 0.906
## 1380 0.815 -0.130 0.874
## 1381 0.828 0.063 0.841
## 1382 0.852 -0.022 0.880
## 1383 0.861 0.083 0.817
## 1384 0.874 0.004 0.805
## 1385 0.893 0.033 0.812
## 1386 0.883 0.073 0.783
## 1387 0.914 0.053 0.771
## 1388 0.907 0.021 0.756
## 1389 0.902 -0.015 0.787
## 1390 0.912 -0.051 0.755
## 1391 0.908 -0.071 0.792
## 1392 0.926 -0.141 0.711
## 1393 0.918 -0.108 0.726
## 1394 0.910 -0.083 0.748
## 1395 0.932 -0.116 0.744
## 1396 0.782 0.000 0.983
## 1397 0.772 -0.047 0.925
## 1398 0.821 0.073 0.898
## 1399 0.795 0.002 0.905
## 1400 0.868 -0.067 0.908
## 1401 0.811 -0.027 0.888
## 1402 0.776 -0.137 0.916
## 1403 0.875 -0.064 0.898
## 1404 0.793 -0.093 0.810
## 1405 0.871 -0.091 0.848
## 1406 0.831 -0.122 0.639
## 1407 0.870 -0.254 0.720
## 1408 0.883 -0.231 0.696
## 1409 0.767 -0.007 0.787
## 1410 0.882 -0.179 0.880
## 1411 0.646 -0.217 0.933
## 1412 0.721 -0.106 0.948
## 1413 0.875 -0.173 0.962
## 1414 0.774 -0.097 0.959
## 1415 0.788 -0.118 0.946
## 1416 0.847 -0.126 0.941
## 1417 0.800 -0.163 0.941
## 1418 0.838 -0.225 0.922
## 1419 0.905 -0.176 0.881
## 1420 0.877 -0.261 0.880
## 1421 0.882 -0.234 0.915
## 1422 0.913 -0.238 0.867
## 1423 0.865 0.235 0.184
## 1424 0.000 0.104 0.000
## 1425 0.905 0.012 0.000
## 1426 0.924 0.162 0.000
## 1427 0.000 0.000 0.000
## 1428 0.800 0.000 0.957
## 1429 0.686 -0.188 0.949
## 1430 0.606 -0.196 0.967
## 1431 0.566 -0.085 0.974
## 1432 0.650 -0.140 0.964
## 1433 0.645 -0.112 0.959
## 1434 0.655 -0.129 0.952
## 1435 0.754 -0.100 0.958
## 1436 0.796 -0.141 0.962
## 1437 0.822 -0.115 0.949
## 1438 0.839 -0.160 0.926
## 1439 0.845 -0.217 0.921
## 1440 0.848 -0.221 0.954
## 1441 0.643 -0.307 0.935
## 1442 0.593 -0.284 0.933
## 1443 0.643 -0.305 0.924
## 1444 0.617 -0.283 0.954
## 1445 0.613 -0.296 0.937
## 1446 0.626 -0.279 0.935
## 1447 0.609 -0.293 0.938
## 1448 0.661 -0.289 0.934
## 1449 0.744 -0.265 0.869
## 1450 0.685 -0.171 0.913
## 1451 0.714 -0.181 0.925
## 1452 0.731 -0.145 0.862
## 1453 0.729 -0.147 0.865
## 1454 0.715 -0.116 0.848
## 1455 0.714 -0.071 0.823
## 1456 0.915 0.000 0.299
## 1457 0.752 0.017 0.286
## 1458 0.766 -0.001 0.410
## 1459 0.829 -0.039 0.161
## 1460 0.835 -0.012 0.081
## 1461 0.904 -0.028 0.117
## 1462 0.894 -0.023 0.078
## 1463 0.908 0.025 0.095
## 1464 0.911 0.025 0.159
## 1465 0.908 0.051 0.214
## 1466 0.924 0.057 0.164
## 1467 0.869 0.064 0.168
## 1468 0.000 0.000 0.505
## 1469 0.622 0.005 0.000
## 1470 0.532 -0.022 0.508
## 1471 0.639 -0.110 0.445
## 1472 0.678 -0.033 0.000
## 1473 0.603 -0.142 0.000
## 1474 0.560 -0.120 0.000
## 1475 0.661 -0.081 0.000
## 1476 0.762 -0.073 0.000
## 1477 0.820 -0.045 0.000
## 1478 0.774 -0.132 0.000
## 1479 0.814 -0.131 0.000
## 1480 0.855 -0.192 0.000
## 1481 0.891 -0.147 0.000
## 1482 0.884 -0.111 0.000
## 1483 0.736 -0.051 0.805
## 1484 0.698 -0.002 0.827
## 1485 0.612 -0.030 0.879
## 1486 0.557 -0.036 0.918
## 1487 0.777 -0.077 0.851
## 1488 0.641 -0.160 0.870
## 1489 0.668 -0.036 0.852
## 1490 0.636 -0.052 0.837
## 1491 0.692 -0.045 0.700
## 1492 0.720 -0.111 0.765
## 1493 0.744 -0.086 0.794
## 1494 0.687 -0.044 0.825
## 1495 0.629 -0.074 0.805
## 1496 0.759 -0.019 0.796
## 1497 0.453 -0.165 0.905
## 1498 0.373 -0.178 0.961
## 1499 0.463 -0.170 0.965
## 1500 0.440 -0.185 0.977
## 1501 0.461 -0.130 0.952
## 1502 0.533 -0.100 0.908
## 1503 0.532 0.072 0.912
## 1504 0.546 -0.062 0.859
## 1505 0.614 -0.068 0.890
## 1506 0.685 -0.077 0.851
## 1507 0.740 -0.100 0.864
## 1508 0.753 -0.040 0.813
## 1509 0.843 0.149 0.824
## 1510 0.679 0.101 0.836
## 1511 0.720 0.248 0.830
## 1512 0.716 0.148 0.925
## 1513 0.726 0.012 0.910
## 1514 0.770 0.005 0.855
## 1515 0.720 -0.071 0.856
## 1516 0.681 0.034 0.786
## 1517 0.624 0.050 0.825
## 1518 0.681 0.106 0.863
## 1519 0.711 0.079 0.848
## 1520 0.716 0.095 0.856
## 1521 0.718 0.074 0.874
## 1522 0.757 0.138 0.000
## 1523 0.867 0.293 0.064
## 1524 0.661 0.046 0.066
## 1525 0.776 -0.075 0.035
## 1526 0.846 -0.018 0.060
## 1527 0.822 -0.149 0.099
## 1528 0.827 0.115 0.242
## 1529 0.835 0.154 0.133
## 1530 0.887 0.150 0.099
## 1531 0.904 0.143 0.047
## 1532 0.926 0.136 0.162
## 1533 0.916 -0.066 0.097
## 1534 0.938 0.027 0.070
## 1535 0.542 -0.050 0.946
## 1536 0.636 -0.101 0.907
## 1537 0.727 0.010 0.907
## 1538 0.620 -0.028 0.907
## 1539 0.598 -0.051 0.915
## 1540 0.635 -0.126 0.914
## 1541 0.587 -0.128 0.928
## 1542 0.700 -0.061 0.917
## 1543 0.714 -0.055 0.920
## 1544 0.758 -0.167 0.910
## 1545 0.771 -0.129 0.926
## 1546 0.762 -0.075 0.901
## 1547 0.936 0.043 0.708
## 1548 0.896 -0.019 0.804
## 1549 0.896 0.029 0.845
## 1550 0.907 -0.025 0.893
## 1551 0.904 -0.020 0.891
## 1552 0.890 0.036 0.918
## 1553 0.888 0.052 0.909
## 1554 0.896 0.008 0.892
## 1555 0.904 -0.055 0.838
## 1556 0.921 -0.025 0.829
## 1557 0.942 -0.119 0.839
## 1558 0.945 -0.102 0.785
## 1559 0.958 -0.081 0.797
## 1560 0.874 0.000 0.456
## 1561 0.968 0.000 0.410
## 1562 0.917 0.000 0.441
## 1563 0.746 0.000 0.513
## 1564 0.820 0.000 0.471
## 1565 0.858 0.000 0.357
## 1566 0.758 0.000 0.334
## 1567 0.649 -0.084 0.000
## 1568 0.690 -0.158 0.859
## 1569 0.749 -0.095 0.866
## 1570 0.739 -0.154 0.904
## 1571 0.739 -0.202 0.791
## 1572 0.835 -0.154 0.819
## 1573 0.590 -0.163 0.838
## 1574 0.714 -0.077 0.800
## 1575 0.794 -0.117 0.820
## 1576 0.862 -0.127 0.853
## 1577 0.774 -0.070 0.813
## 1578 0.787 -0.129 0.865
## 1579 0.753 -0.050 0.841
## 1580 0.738 -0.134 0.820
## 1581 0.757 -0.015 0.912
## 1582 0.715 -0.052 0.799
## 1583 0.656 -0.059 0.803
## 1584 0.524 -0.102 0.771
## 1585 0.600 -0.096 0.787
## 1586 0.677 -0.033 0.752
## 1587 0.682 -0.048 0.827
## 1588 0.618 0.000 0.844
## 1589 0.642 -0.050 0.832
## 1590 0.623 -0.043 0.834
## 1591 0.616 -0.036 0.841
## 1592 0.591 0.026 0.862
## 1593 0.538 0.014 0.851
## 1594 0.600 -0.089 0.797
## 1595 0.706 -0.055 0.718
## 1596 0.711 -0.106 0.665
## 1597 0.567 0.000 0.742
## 1598 0.512 0.000 0.710
## 1599 0.440 0.000 0.785
## 1600 0.456 0.000 0.761
## 1601 0.916 0.000 0.777
## 1602 0.782 -0.093 0.784
## 1603 0.834 -0.150 0.683
## 1604 0.749 -0.127 0.798
## 1605 0.796 -0.138 0.840
## 1606 0.819 -0.122 0.846
## 1607 0.755 -0.059 0.844
## 1608 0.759 -0.101 0.916
## 1609 0.738 -0.028 0.854
## 1610 0.732 -0.072 0.822
## 1611 0.768 -0.048 0.819
## 1612 0.756 -0.032 0.791
## 1613 0.722 -0.075 0.777
## 1614 0.778 -0.049 0.730
## 1615 0.783 -0.121 0.730
## 1616 0.724 0.062 0.838
## 1617 0.736 0.110 0.847
## 1618 0.834 0.163 0.861
## 1619 0.799 0.306 0.690
## 1620 0.738 0.259 0.769
## 1621 0.823 0.145 0.760
## 1622 0.800 0.161 0.823
## 1623 0.834 0.268 0.842
## 1624 0.868 0.299 0.791
## 1625 0.902 0.319 0.859
## 1626 0.827 0.094 0.844
## 1627 0.859 0.106 0.856
## 1628 0.824 0.051 0.863
## 1629 0.710 0.077 0.701
## 1630 0.648 -0.040 0.737
## 1631 0.583 -0.024 0.663
## 1632 0.412 -0.056 0.734
## 1633 0.390 -0.063 0.794
## 1634 0.885 -0.077 0.751
## 1635 0.607 -0.067 0.917
## 1636 0.710 -0.178 0.692
## 1637 0.597 -0.191 0.724
## 1638 0.964 0.000 0.000
## 1639 0.910 0.146 0.289
## 1640 0.912 0.125 0.314
## 1641 0.864 0.221 0.292
## 1642 0.905 0.141 0.253
## 1643 0.941 0.161 0.269
## 1644 0.944 0.132 0.254
## 1645 0.936 0.159 0.324
## 1646 0.945 0.202 0.250
## 1647 0.935 0.211 0.232
## 1648 0.918 0.146 0.246
## 1649 0.935 0.170 0.239
## 1650 0.942 0.077 0.263
## 1651 0.942 0.091 0.250
## 1652 0.951 0.091 0.203
## 1653 0.919 0.290 0.408
## 1654 0.891 0.125 0.342
## 1655 0.945 0.139 0.323
## 1656 0.949 0.060 0.283
## 1657 0.928 0.109 0.210
## 1658 0.934 0.088 0.302
## 1659 0.925 0.180 0.316
## 1660 0.926 0.101 0.301
## 1661 0.913 0.036 0.294
## 1662 0.917 -0.064 0.280
## 1663 0.661 0.122 0.680
## 1664 0.748 0.082 0.688
## 1665 0.647 0.008 0.743
## 1666 0.530 0.131 0.741
## 1667 0.467 0.316 0.673
## 1668 0.455 0.225 0.663
## 1669 0.448 0.045 0.685
## 1670 0.630 -0.030 0.846
## 1671 0.642 -0.017 0.785
## 1672 0.677 0.005 0.821
## 1673 0.761 0.035 0.755
## 1674 0.698 0.022 0.803
## 1675 0.690 0.002 0.841
## 1676 0.693 0.092 0.866
## 1677 0.701 0.019 0.857
## 1678 0.719 -0.049 0.811
## 1679 0.760 -0.070 0.743
## 1680 0.741 0.000 0.736
## 1681 0.814 0.000 0.718
## 1682 0.799 0.000 0.711
## 1683 0.702 -0.088 0.768
## 1684 0.818 0.000 0.659
## 1685 0.816 0.018 0.723
## 1686 0.744 0.001 0.792
## 1687 0.784 0.062 0.679
## 1688 0.776 -0.119 0.672
## 1689 0.749 -0.073 0.717
## 1690 0.693 0.063 0.764
## 1691 0.853 0.002 0.698
## 1692 0.847 0.022 0.742
## 1693 0.703 0.010 0.632
## 1694 0.832 0.124 0.718
## 1695 0.000 -0.065 0.578
## 1696 0.000 -0.045 0.490
## 1697 0.000 -0.040 0.550
## 1698 0.787 -0.027 0.649
## 1699 0.716 -0.013 0.707
## 1700 0.562 0.256 0.930
## 1701 0.607 0.308 0.903
## 1702 0.597 0.139 0.866
## 1703 0.736 -0.046 0.816
## 1704 0.577 0.213 0.887
## 1705 0.654 0.054 0.859
## 1706 0.654 0.110 0.878
## 1707 0.759 0.149 0.906
## 1708 0.775 0.179 0.739
## 1709 0.800 0.116 0.654
## 1710 0.807 0.153 0.612
## 1711 0.850 0.100 0.589
## 1712 0.830 0.295 0.521
## 1713 0.863 0.331 0.935
## 1714 0.870 0.391 0.898
## 1715 0.868 0.425 0.933
## 1716 0.868 0.525 0.904
## 1717 0.860 0.536 0.917
## 1718 0.927 0.400 0.923
## 1719 0.847 0.380 0.909
## 1720 0.781 0.456 0.925
## 1721 0.900 0.553 0.920
## 1722 0.885 0.316 0.914
## 1723 0.924 0.356 0.878
## 1724 0.923 0.212 0.884
## 1725 0.905 0.259 0.907
## 1726 0.898 0.309 0.877
## 1727 0.840 0.273 0.918
## 1728 0.628 -0.007 0.850
## 1729 0.287 -0.055 0.932
## 1730 0.584 -0.070 0.832
## 1731 0.663 -0.085 0.795
## 1732 0.772 -0.069 0.733
## 1733 0.730 -0.007 0.815
## 1734 0.717 -0.042 0.726
## 1735 0.612 -0.007 0.809
## 1736 0.617 0.065 0.737
## 1737 0.840 0.141 0.917
## 1738 0.838 0.087 0.959
## 1739 0.775 0.078 0.900
## 1740 0.847 0.128 0.948
## 1741 0.859 0.015 0.911
## 1742 0.781 -0.119 0.722
## 1743 0.624 -0.135 0.732
## 1744 0.603 -0.199 0.913
## 1745 0.568 -0.176 0.899
## 1746 0.536 -0.207 0.886
## 1747 0.589 -0.232 0.783
## 1748 0.711 -0.226 0.815
## 1749 0.614 -0.165 0.811
## 1750 0.478 -0.219 0.869
## 1751 0.650 -0.191 0.840
## 1752 0.659 -0.209 0.889
## 1753 0.668 -0.202 0.877
## 1754 0.623 0.000 0.877
## 1755 0.459 -0.178 0.800
## 1756 0.415 -0.189 0.785
## 1757 0.456 -0.227 0.853
## 1758 0.515 -0.187 0.811
## 1759 0.446 -0.242 0.649
## 1760 0.471 -0.216 0.702
## 1761 0.541 -0.229 0.698
## 1762 0.649 -0.024 0.764
## 1763 0.653 -0.016 0.806
## 1764 0.644 -0.065 0.764
## 1765 0.644 -0.237 0.671
## 1766 0.529 -0.176 0.805
## 1767 0.631 -0.136 0.760
## 1768 0.510 -0.111 0.774
## 1769 0.000 -0.102 0.000
## 1770 0.000 0.018 0.000
## 1771 0.786 -0.123 0.000
## 1772 0.705 -0.071 0.000
## 1773 0.805 0.032 0.000
## 1774 0.701 0.093 0.000
## 1775 0.749 0.005 0.000
## 1776 0.720 0.066 0.000
## 1777 0.858 0.260 0.000
## 1778 0.892 0.285 0.000
## 1779 0.747 -0.041 0.807
## 1780 0.708 -0.001 0.881
## 1781 0.578 -0.055 0.848
## 1782 0.760 -0.037 0.840
## 1783 0.801 -0.015 0.855
## 1784 0.733 0.032 0.830
## 1785 0.649 0.081 0.838
## 1786 0.763 0.053 0.820
## 1787 0.834 0.009 0.898
## 1788 0.758 0.135 0.873
## 1789 0.739 0.132 0.811
## 1790 0.772 0.060 0.816
## 1791 0.729 0.079 0.856
## 1792 0.704 0.139 0.826
## 1793 0.687 0.147 0.878
## 1794 0.624 -0.257 0.929
## 1795 0.494 -0.241 0.968
## 1796 0.487 -0.265 0.929
## 1797 0.460 -0.241 0.962
## 1798 0.484 -0.189 0.954
## 1799 0.579 -0.228 0.933
## 1800 0.564 -0.223 0.896
## 1801 0.569 -0.216 0.937
## 1802 0.533 0.084 0.927
## 1803 0.431 -0.033 0.952
## 1804 0.503 0.011 0.891
## 1805 0.599 -0.002 0.937
## 1806 0.663 -0.074 0.943
## 1807 0.715 -0.081 0.885
## 1808 0.784 0.126 0.946
## 1809 0.898 -0.033 0.203
## 1810 0.849 0.019 0.339
## 1811 0.878 0.057 0.355
## 1812 0.889 0.071 0.000
## 1813 0.920 0.000 0.000
## 1814 0.936 0.000 0.000
## 1815 0.000 0.000 0.000
## 1816 0.915 0.201 0.000
## 1817 0.949 0.131 0.000
## 1818 0.962 0.216 0.000
## 1819 0.944 0.054 0.000
## 1820 0.911 0.129 0.000
## 1821 0.942 0.060 0.000
## 1822 0.922 0.000 0.398
## 1823 0.838 0.336 0.498
## 1824 0.759 0.331 0.548
## 1825 0.816 0.341 0.559
## 1826 0.841 0.403 0.587
## 1827 0.900 0.336 0.438
## 1828 0.889 0.371 0.425
## 1829 0.905 0.346 0.568
## 1830 0.857 0.355 0.484
## 1831 0.833 0.300 0.456
## 1832 0.821 0.250 0.458
## 1833 0.813 0.291 0.419
## 1834 0.838 0.226 0.404
## 1835 0.854 0.271 0.485
## 1836 0.885 0.203 0.490
## 1837 0.911 0.000 0.600
## 1838 0.872 0.197 0.633
## 1839 0.878 0.255 0.668
## 1840 0.831 0.201 0.665
## 1841 0.828 0.244 0.690
## 1842 0.863 0.161 0.697
## 1843 0.823 0.215 0.710
## 1844 0.792 0.274 0.747
## 1845 0.866 0.221 0.702
## 1846 0.849 0.219 0.698
## 1847 0.758 0.144 0.739
## 1848 0.868 0.197 0.681
## 1849 0.825 0.116 0.710
## 1850 0.836 0.144 0.707
## 1851 0.850 0.034 0.678
## 1852 0.807 -0.113 0.477
## 1853 0.786 -0.165 0.614
## 1854 0.808 -0.143 0.597
## 1855 0.825 -0.118 0.544
## 1856 0.832 -0.158 0.471
## 1857 0.851 -0.080 0.556
## 1858 0.871 0.067 0.615
## 1859 0.888 -0.043 0.586
## 1860 0.904 -0.073 0.533
## 1861 0.917 -0.032 0.673
## 1862 0.886 -0.072 0.676
## 1863 0.898 -0.091 0.627
## 1864 0.876 -0.097 0.683
## 1865 0.903 -0.095 0.599
## 1866 0.908 -0.084 0.491
## 1867 0.784 -0.115 0.609
## 1868 0.831 -0.023 0.000
## 1869 0.000 0.013 0.610
## 1870 0.000 -0.030 0.519
## 1871 0.934 0.042 0.522
## 1872 0.914 -0.037 0.463
## 1873 0.950 -0.034 0.434
## 1874 0.954 0.061 0.536
## 1875 0.980 0.375 0.471
## 1876 0.984 0.208 0.000
## 1877 0.985 0.123 0.465
## 1878 0.970 0.318 0.520
## 1879 0.970 0.304 0.511
## 1880 0.838 0.000 0.720
## 1881 0.798 -0.031 0.646
## 1882 0.678 -0.225 0.776
## 1883 0.677 -0.116 0.828
## 1884 0.768 -0.155 0.754
## 1885 0.766 -0.226 0.772
## 1886 0.804 -0.193 0.743
## 1887 0.642 -0.220 0.837
## 1888 0.570 -0.199 0.827
## 1889 0.512 -0.117 0.813
## 1890 0.458 -0.155 0.890
## 1891 0.636 -0.169 0.844
## 1892 0.611 0.000 0.828
## 1893 0.626 0.000 0.839
## 1894 0.612 0.000 0.811
## 1895 0.886 0.015 0.000
## 1896 0.918 0.089 0.754
## 1897 0.889 0.201 0.789
## 1898 0.834 -0.062 0.838
## 1899 0.831 -0.006 0.743
## 1900 0.818 0.105 0.742
## 1901 0.856 -0.110 0.815
## 1902 0.920 -0.027 0.771
## 1903 0.000 0.000 0.000
## 1904 0.000 0.086 0.000
## 1905 0.894 -0.090 0.799
## 1906 0.000 0.000 0.000
## 1907 0.909 -0.041 0.808
## 1908 0.952 -0.126 0.788
## 1909 0.673 0.011 0.000
## 1910 0.644 -0.052 0.832
## 1911 0.659 -0.104 0.853
## 1912 0.638 -0.173 0.754
## 1913 0.706 -0.171 0.793
## 1914 0.543 -0.179 0.885
## 1915 0.664 -0.157 0.885
## 1916 0.610 -0.139 0.829
## 1917 0.533 -0.151 0.000
## 1918 0.595 -0.147 0.000
## 1919 0.553 0.000 0.793
## 1920 0.651 0.000 0.798
## 1921 0.721 -0.006 0.785
## 1922 0.682 -0.067 0.948
## 1923 0.717 0.056 0.890
## 1924 0.696 -0.096 0.917
## 1925 0.663 0.003 0.882
## 1926 0.788 0.008 0.806
## 1927 0.770 -0.104 0.732
## 1928 0.812 -0.011 0.809
## 1929 0.759 -0.039 0.871
## 1930 0.812 0.122 0.771
## 1931 0.823 0.140 0.740
## 1932 0.791 0.048 0.811
## 1933 0.811 0.077 0.832
## 1934 0.750 0.056 0.810
## 1935 0.431 -0.076 0.905
## 1936 0.456 -0.082 0.946
## 1937 0.344 -0.090 0.964
## 1938 0.411 -0.078 0.931
## 1939 0.665 -0.093 0.828
## 1940 0.633 -0.088 0.830
## 1941 0.470 -0.103 0.859
## 1942 0.576 -0.104 0.831
## 1943 0.642 -0.074 0.820
## 1944 0.667 -0.123 0.810
## 1945 0.733 -0.095 0.724
## 1946 0.753 -0.098 0.751
## 1947 0.763 -0.068 0.844
## 1948 0.632 -0.064 0.831
## 1949 0.643 -0.009 0.789
## Positive.affect Negative.affect
## 1 0.518 0.258
## 2 0.584 0.237
## 3 0.618 0.275
## 4 0.611 0.267
## 5 0.710 0.268
## 6 0.621 0.273
## 7 0.532 0.375
## 8 0.554 0.339
## 9 0.565 0.348
## 10 0.496 0.371
## 11 0.424 0.405
## 12 0.351 0.502
## 13 0.553 0.246
## 14 0.640 0.279
## 15 0.648 0.300
## 16 0.628 0.257
## 17 0.607 0.271
## 18 0.634 0.338
## 19 0.685 0.335
## 20 0.688 0.350
## 21 0.675 0.322
## 22 0.669 0.334
## 23 0.713 0.319
## 24 0.681 0.274
## 25 0.679 0.265
## 26 0.000 0.000
## 27 0.550 0.255
## 28 0.604 0.230
## 29 0.626 0.177
## 30 0.661 0.377
## 31 0.642 0.289
## 32 0.591 0.293
## 33 0.585 0.215
## 34 0.659 0.361
## 35 0.558 0.305
## 36 0.658 0.371
## 37 0.579 0.368
## 38 0.825 0.328
## 39 0.828 0.279
## 40 0.823 0.318
## 41 0.864 0.237
## 42 0.846 0.211
## 43 0.840 0.232
## 44 0.857 0.272
## 45 0.842 0.254
## 46 0.857 0.238
## 47 0.859 0.305
## 48 0.842 0.312
## 49 0.809 0.292
## 50 0.820 0.321
## 51 0.826 0.319
## 52 0.764 0.342
## 53 0.494 0.469
## 54 0.507 0.412
## 55 0.521 0.385
## 56 0.543 0.411
## 57 0.510 0.426
## 58 0.475 0.459
## 59 0.518 0.464
## 60 0.562 0.450
## 61 0.581 0.404
## 62 0.594 0.438
## 63 0.594 0.437
## 64 0.625 0.437
## 65 0.581 0.455
## 66 0.598 0.430
## 67 0.843 0.238
## 68 0.826 0.215
## 69 0.826 0.218
## 70 0.834 0.220
## 71 0.816 0.195
## 72 0.811 0.214
## 73 0.819 0.177
## 74 0.775 0.245
## 75 0.790 0.210
## 76 0.791 0.236
## 77 0.780 0.225
## 78 0.759 0.187
## 79 0.770 0.202
## 80 0.769 0.205
## 81 0.823 0.174
## 82 0.832 0.173
## 83 0.815 0.156
## 84 0.789 0.145
## 85 0.822 0.157
## 86 0.787 0.163
## 87 0.780 0.170
## 88 0.798 0.164
## 89 0.756 0.197
## 90 0.748 0.180
## 91 0.752 0.226
## 92 0.774 0.205
## 93 0.769 0.206
## 94 0.512 0.276
## 95 0.521 0.284
## 96 0.578 0.227
## 97 0.544 0.234
## 98 0.527 0.272
## 99 0.536 0.258
## 100 0.554 0.266
## 101 0.619 0.242
## 102 0.598 0.220
## 103 0.607 0.206
## 104 0.598 0.191
## 105 0.592 0.198
## 106 0.593 0.191
## 107 0.643 0.164
## 108 0.764 0.422
## 109 0.685 0.423
## 110 0.544 0.514
## 111 0.589 0.381
## 112 0.768 0.306
## 113 0.000 0.000
## 114 0.716 0.303
## 115 0.787 0.283
## 116 0.814 0.290
## 117 0.762 0.317
## 118 0.790 0.297
## 119 0.600 0.321
## 120 0.635 0.313
## 121 0.725 0.232
## 122 0.670 0.223
## 123 0.629 0.292
## 124 0.685 0.235
## 125 0.714 0.183
## 126 0.619 0.246
## 127 0.000 0.231
## 128 0.635 0.226
## 129 0.560 0.235
## 130 0.569 0.214
## 131 0.541 0.361
## 132 0.537 0.369
## 133 0.582 0.332
## 134 0.605 0.269
## 135 0.596 0.235
## 136 0.000 0.246
## 137 0.566 0.223
## 138 0.567 0.208
## 139 0.521 0.249
## 140 0.523 0.181
## 141 0.609 0.206
## 142 0.619 0.209
## 143 0.584 0.184
## 144 0.554 0.182
## 145 0.541 0.233
## 146 0.450 0.236
## 147 0.591 0.190
## 148 0.796 0.260
## 149 0.813 0.218
## 150 0.813 0.242
## 151 0.828 0.240
## 152 0.835 0.225
## 153 0.820 0.238
## 154 0.797 0.217
## 155 0.798 0.252
## 156 0.805 0.240
## 157 0.765 0.260
## 158 0.786 0.234
## 159 0.750 0.250
## 160 0.733 0.244
## 161 0.647 0.260
## 162 0.759 0.251
## 163 0.755 0.282
## 164 0.587 0.309
## 165 0.584 0.303
## 166 0.626 0.219
## 167 0.583 0.231
## 168 0.702 0.216
## 169 0.590 0.273
## 170 0.592 0.373
## 171 0.608 0.456
## 172 0.615 0.458
## 173 0.647 0.468
## 174 0.659 0.441
## 175 0.609 0.305
## 176 0.779 0.217
## 177 0.859 0.324
## 178 0.810 0.312
## 179 0.739 0.432
## 180 0.771 0.388
## 181 0.781 0.392
## 182 0.797 0.372
## 183 0.766 0.350
## 184 0.761 0.361
## 185 0.782 0.409
## 186 0.759 0.410
## 187 0.809 0.398
## 188 0.786 0.393
## 189 0.783 0.376
## 190 0.698 0.434
## 191 0.742 0.387
## 192 0.751 0.419
## 193 0.790 0.382
## 194 0.613 0.296
## 195 0.572 0.390
## 196 0.517 0.409
## 197 0.596 0.326
## 198 0.548 0.338
## 199 0.544 0.315
## 200 0.531 0.262
## 201 0.534 0.286
## 202 0.641 0.304
## 203 0.597 0.271
## 204 0.643 0.277
## 205 0.633 0.238
## 206 0.644 0.325
## 207 0.688 0.226
## 208 0.731 0.218
## 209 0.690 0.172
## 210 0.739 0.160
## 211 0.773 0.171
## 212 0.698 0.244
## 213 0.674 0.245
## 214 0.746 0.261
## 215 0.686 0.252
## 216 0.656 0.276
## 217 0.730 0.267
## 218 0.712 0.273
## 219 0.818 0.302
## 220 0.859 0.299
## 221 0.820 0.265
## 222 0.833 0.274
## 223 0.817 0.250
## 224 0.807 0.268
## 225 0.755 0.350
## 226 0.818 0.276
## 227 0.788 0.274
## 228 0.755 0.325
## 229 0.763 0.302
## 230 0.716 0.308
## 231 0.750 0.350
## 232 0.761 0.337
## 233 0.692 0.389
## 234 0.594 0.226
## 235 0.546 0.238
## 236 0.534 0.271
## 237 0.573 0.237
## 238 0.623 0.278
## 239 0.628 0.236
## 240 0.643 0.214
## 241 0.622 0.172
## 242 0.614 0.189
## 243 0.639 0.189
## 244 0.663 0.200
## 245 0.706 0.221
## 246 0.716 0.266
## 247 0.651 0.281
## 248 0.523 0.304
## 249 0.590 0.217
## 250 0.579 0.205
## 251 0.545 0.300
## 252 0.630 0.287
## 253 0.614 0.256
## 254 0.579 0.359
## 255 0.616 0.337
## 256 0.585 0.354
## 257 0.711 0.343
## 258 0.691 0.365
## 259 0.440 0.253
## 260 0.641 0.164
## 261 0.689 0.190
## 262 0.656 0.251
## 263 0.666 0.363
## 264 0.719 0.341
## 265 0.000 0.320
## 266 0.739 0.335
## 267 0.796 0.188
## 268 0.774 0.422
## 269 0.799 0.308
## 270 0.820 0.352
## 271 0.792 0.440
## 272 0.783 0.482
## 273 0.813 0.399
## 274 0.839 0.398
## 275 0.799 0.408
## 276 0.845 0.414
## 277 0.844 0.390
## 278 0.878 0.390
## 279 0.606 0.271
## 280 0.635 0.249
## 281 0.600 0.312
## 282 0.593 0.250
## 283 0.606 0.274
## 284 0.598 0.272
## 285 0.618 0.284
## 286 0.681 0.268
## 287 0.623 0.216
## 288 0.651 0.346
## 289 0.662 0.367
## 290 0.632 0.377
## 291 0.642 0.356
## 292 0.629 0.326
## 293 0.630 0.386
## 294 0.839 0.233
## 295 0.872 0.257
## 296 0.890 0.202
## 297 0.867 0.248
## 298 0.879 0.233
## 299 0.881 0.248
## 300 0.857 0.229
## 301 0.851 0.263
## 302 0.833 0.259
## 303 0.845 0.286
## 304 0.825 0.237
## 305 0.863 0.218
## 306 0.824 0.259
## 307 0.822 0.285
## 308 0.796 0.307
## 309 0.568 0.330
## 310 0.523 0.257
## 311 0.524 0.277
## 312 0.579 0.494
## 313 0.614 0.599
## 314 0.580 0.263
## 315 0.614 0.245
## 316 0.569 0.225
## 317 0.557 0.221
## 318 0.545 0.287
## 319 0.591 0.289
## 320 0.527 0.316
## 321 0.462 0.314
## 322 0.536 0.329
## 323 0.607 0.358
## 324 0.582 0.468
## 325 0.628 0.538
## 326 0.553 0.544
## 327 0.587 0.460
## 328 0.804 0.348
## 329 0.767 0.342
## 330 0.757 0.330
## 331 0.808 0.300
## 332 0.809 0.300
## 333 0.804 0.317
## 334 0.815 0.288
## 335 0.855 0.285
## 336 0.870 0.276
## 337 0.803 0.333
## 338 0.869 0.283
## 339 0.838 0.291
## 340 0.833 0.276
## 341 0.809 0.337
## 342 0.815 0.336
## 343 0.809 0.170
## 344 0.817 0.159
## 345 0.817 0.147
## 346 0.786 0.162
## 347 0.765 0.158
## 348 0.820 0.134
## 349 0.821 0.159
## 350 0.836 0.142
## 351 0.854 0.112
## 352 0.809 0.171
## 353 0.826 0.146
## 354 0.821 0.214
## 355 0.856 0.190
## 356 0.891 0.147
## 357 0.789 0.245
## 358 0.800 0.326
## 359 0.808 0.287
## 360 0.803 0.307
## 361 0.843 0.273
## 362 0.831 0.265
## 363 0.832 0.286
## 364 0.846 0.294
## 365 0.851 0.278
## 366 0.847 0.278
## 367 0.839 0.292
## 368 0.794 0.294
## 369 0.837 0.299
## 370 0.825 0.301
## 371 0.822 0.322
## 372 0.795 0.340
## 373 0.672 0.167
## 374 0.728 0.178
## 375 0.667 0.173
## 376 0.612 0.212
## 377 0.748 0.337
## 378 0.736 0.336
## 379 0.573 0.298
## 380 0.621 0.288
## 381 0.564 0.323
## 382 0.610 0.291
## 383 0.595 0.400
## 384 0.606 0.261
## 385 0.610 0.304
## 386 0.599 0.382
## 387 0.588 0.448
## 388 0.645 0.405
## 389 0.491 0.283
## 390 0.617 0.208
## 391 0.634 0.230
## 392 0.589 0.187
## 393 0.559 0.305
## 394 0.589 0.301
## 395 0.646 0.222
## 396 0.551 0.404
## 397 0.868 0.236
## 398 0.875 0.240
## 399 0.844 0.233
## 400 0.876 0.217
## 401 0.886 0.221
## 402 0.876 0.269
## 403 0.897 0.263
## 404 0.850 0.278
## 405 0.837 0.290
## 406 0.850 0.286
## 407 0.874 0.281
## 408 0.874 0.275
## 409 0.870 0.326
## 410 0.848 0.303
## 411 0.586 0.337
## 412 0.637 0.272
## 413 0.607 0.259
## 414 0.598 0.273
## 415 0.622 0.271
## 416 0.590 0.285
## 417 0.596 0.286
## 418 0.609 0.294
## 419 0.614 0.337
## 420 0.655 0.316
## 421 0.582 0.290
## 422 0.551 0.269
## 423 0.743 0.286
## 424 0.647 0.277
## 425 0.829 0.253
## 426 0.746 0.329
## 427 0.786 0.296
## 428 0.763 0.272
## 429 0.755 0.369
## 430 0.748 0.420
## 431 0.737 0.397
## 432 0.747 0.383
## 433 0.742 0.336
## 434 0.784 0.301
## 435 0.750 0.298
## 436 0.763 0.290
## 437 0.759 0.284
## 438 0.723 0.258
## 439 0.736 0.277
## 440 0.641 0.244
## 441 0.601 0.253
## 442 0.609 0.257
## 443 0.720 0.253
## 444 0.678 0.235
## 445 0.751 0.206
## 446 0.756 0.201
## 447 0.739 0.227
## 448 0.714 0.178
## 449 0.832 0.290
## 450 0.860 0.154
## 451 0.828 0.194
## 452 0.757 0.163
## 453 0.749 0.234
## 454 0.785 0.155
## 455 0.769 0.175
## 456 0.774 0.209
## 457 0.862 0.195
## 458 0.832 0.233
## 459 0.829 0.218
## 460 0.836 0.208
## 461 0.824 0.206
## 462 0.821 0.206
## 463 0.862 0.181
## 464 0.818 0.227
## 465 0.755 0.120
## 466 0.662 0.232
## 467 0.000 0.000
## 468 0.579 0.181
## 469 0.748 0.274
## 470 0.767 0.260
## 471 0.732 0.329
## 472 0.785 0.280
## 473 0.787 0.282
## 474 0.809 0.300
## 475 0.797 0.297
## 476 0.793 0.295
## 477 0.798 0.300
## 478 0.714 0.295
## 479 0.760 0.278
## 480 0.739 0.275
## 481 0.745 0.291
## 482 0.784 0.264
## 483 0.734 0.314
## 484 0.825 0.357
## 485 0.833 0.286
## 486 0.843 0.283
## 487 0.840 0.256
## 488 0.826 0.220
## 489 0.862 0.271
## 490 0.847 0.333
## 491 0.851 0.267
## 492 0.859 0.306
## 493 0.851 0.323
## 494 0.846 0.365
## 495 0.829 0.314
## 496 0.876 0.328
## 497 0.811 0.374
## 498 0.790 0.416
## 499 0.735 0.346
## 500 0.665 0.355
## 501 0.683 0.301
## 502 0.642 0.339
## 503 0.567 0.276
## 504 0.529 0.353
## 505 0.527 0.398
## 506 0.551 0.483
## 507 0.543 0.327
## 508 0.610 0.344
## 509 0.611 0.370
## 510 0.539 0.414
## 511 0.492 0.285
## 512 0.517 0.313
## 513 0.599 0.442
## 514 0.864 0.233
## 515 0.869 0.220
## 516 0.842 0.232
## 517 0.850 0.243
## 518 0.814 0.302
## 519 0.875 0.336
## 520 0.831 0.365
## 521 0.828 0.317
## 522 0.837 0.330
## 523 0.826 0.333
## 524 0.761 0.346
## 525 0.849 0.268
## 526 0.860 0.270
## 527 0.871 0.271
## 528 0.839 0.329
## 529 0.655 0.215
## 530 0.666 0.176
## 531 0.597 0.218
## 532 0.598 0.243
## 533 0.651 0.205
## 534 0.647 0.199
## 535 0.702 0.199
## 536 0.680 0.203
## 537 0.723 0.183
## 538 0.726 0.177
## 539 0.805 0.160
## 540 0.795 0.163
## 541 0.804 0.156
## 542 0.807 0.188
## 543 0.668 0.137
## 544 0.643 0.213
## 545 0.738 0.303
## 546 0.714 0.237
## 547 0.727 0.254
## 548 0.609 0.304
## 549 0.660 0.272
## 550 0.631 0.283
## 551 0.669 0.252
## 552 0.722 0.172
## 553 0.773 0.144
## 554 0.832 0.202
## 555 0.773 0.205
## 556 0.796 0.202
## 557 0.769 0.195
## 558 0.784 0.199
## 559 0.751 0.191
## 560 0.797 0.182
## 561 0.787 0.176
## 562 0.782 0.182
## 563 0.755 0.181
## 564 0.744 0.193
## 565 0.769 0.225
## 566 0.777 0.289
## 567 0.746 0.281
## 568 0.763 0.303
## 569 0.790 0.261
## 570 0.781 0.281
## 571 0.754 0.253
## 572 0.800 0.205
## 573 0.811 0.216
## 574 0.786 0.215
## 575 0.773 0.270
## 576 0.762 0.242
## 577 0.767 0.282
## 578 0.735 0.250
## 579 0.732 0.231
## 580 0.591 0.264
## 581 0.470 0.266
## 582 0.510 0.287
## 583 0.539 0.293
## 584 0.626 0.372
## 585 0.640 0.432
## 586 0.634 0.446
## 587 0.641 0.418
## 588 0.693 0.413
## 589 0.838 0.277
## 590 0.804 0.379
## 591 0.773 0.401
## 592 0.433 0.269
## 593 0.427 0.236
## 594 0.441 0.262
## 595 0.492 0.242
## 596 0.502 0.243
## 597 0.515 0.247
## 598 0.559 0.250
## 599 0.595 0.200
## 600 0.570 0.204
## 601 0.547 0.233
## 602 0.564 0.223
## 603 0.581 0.210
## 604 0.573 0.244
## 605 0.604 0.244
## 606 0.611 0.295
## 607 0.776 0.197
## 608 0.732 0.231
## 609 0.787 0.220
## 610 0.792 0.206
## 611 0.794 0.182
## 612 0.794 0.165
## 613 0.804 0.170
## 614 0.743 0.205
## 615 0.785 0.188
## 616 0.765 0.203
## 617 0.738 0.187
## 618 0.737 0.196
## 619 0.780 0.243
## 620 0.751 0.226
## 621 0.760 0.206
## 622 0.671 0.198
## 623 0.686 0.217
## 624 0.717 0.172
## 625 0.774 0.198
## 626 0.783 0.184
## 627 0.744 0.209
## 628 0.760 0.152
## 629 0.691 0.211
## 630 0.696 0.280
## 631 0.690 0.265
## 632 0.668 0.305
## 633 0.703 0.248
## 634 0.747 0.250
## 635 0.682 0.270
## 636 0.713 0.253
## 637 0.692 0.264
## 638 0.738 0.222
## 639 0.649 0.254
## 640 0.634 0.292
## 641 0.591 0.323
## 642 0.581 0.352
## 643 0.689 0.482
## 644 0.695 0.385
## 645 0.740 0.277
## 646 0.701 0.336
## 647 0.603 0.333
## 648 0.666 0.255
## 649 0.668 0.236
## 650 0.684 0.322
## 651 0.818 0.287
## 652 0.819 0.224
## 653 0.834 0.234
## 654 0.829 0.240
## 655 0.850 0.236
## 656 0.844 0.289
## 657 0.863 0.349
## 658 0.867 0.333
## 659 0.835 0.305
## 660 0.851 0.311
## 661 0.846 0.321
## 662 0.846 0.308
## 663 0.871 0.262
## 664 0.859 0.311
## 665 0.701 0.260
## 666 0.677 0.285
## 667 0.600 0.348
## 668 0.629 0.351
## 669 0.667 0.268
## 670 0.687 0.374
## 671 0.704 0.422
## 672 0.744 0.440
## 673 0.685 0.473
## 674 0.768 0.296
## 675 0.613 0.332
## 676 0.608 0.256
## 677 0.555 0.293
## 678 0.625 0.245
## 679 0.593 0.284
## 680 0.538 0.327
## 681 0.593 0.327
## 682 0.619 0.333
## 683 0.553 0.367
## 684 0.573 0.322
## 685 0.584 0.359
## 686 0.858 0.155
## 687 0.759 0.199
## 688 0.789 0.206
## 689 0.803 0.261
## 690 0.797 0.260
## 691 0.816 0.307
## 692 0.847 0.294
## 693 0.817 0.283
## 694 0.820 0.299
## 695 0.863 0.311
## 696 0.832 0.297
## 697 0.842 0.248
## 698 0.872 0.287
## 699 0.850 0.279
## 700 0.723 0.236
## 701 0.719 0.237
## 702 0.762 0.210
## 703 0.710 0.183
## 704 0.734 0.196
## 705 0.715 0.183
## 706 0.684 0.243
## 707 0.664 0.213
## 708 0.640 0.201
## 709 0.599 0.358
## 710 0.609 0.210
## 711 0.675 0.290
## 712 0.701 0.230
## 713 0.664 0.228
## 714 0.656 0.235
## 715 0.642 0.305
## 716 0.652 0.315
## 717 0.706 0.307
## 718 0.651 0.238
## 719 0.707 0.245
## 720 0.666 0.243
## 721 0.735 0.181
## 722 0.676 0.201
## 723 0.743 0.180
## 724 0.735 0.240
## 725 0.880 0.153
## 726 0.900 0.157
## 727 0.870 0.156
## 728 0.849 0.180
## 729 0.874 0.158
## 730 0.895 0.148
## 731 0.836 0.178
## 732 0.863 0.172
## 733 0.687 0.199
## 734 0.668 0.253
## 735 0.674 0.259
## 736 0.771 0.301
## 737 0.697 0.267
## 738 0.648 0.232
## 739 0.629 0.295
## 740 0.680 0.330
## 741 0.711 0.285
## 742 0.701 0.322
## 743 0.695 0.346
## 744 0.682 0.318
## 745 0.657 0.357
## 746 0.648 0.466
## 747 0.752 0.383
## 748 0.825 0.266
## 749 0.812 0.242
## 750 0.774 0.239
## 751 0.865 0.193
## 752 0.837 0.218
## 753 0.864 0.273
## 754 0.897 0.229
## 755 0.893 0.249
## 756 0.852 0.242
## 757 0.876 0.274
## 758 0.833 0.342
## 759 0.863 0.319
## 760 0.864 0.296
## 761 0.877 0.302
## 762 0.608 0.456
## 763 0.626 0.361
## 764 0.624 0.345
## 765 0.578 0.359
## 766 0.609 0.525
## 767 0.659 0.552
## 768 0.618 0.512
## 769 0.645 0.520
## 770 0.687 0.526
## 771 0.694 0.439
## 772 0.553 0.493
## 773 0.600 0.449
## 774 0.582 0.470
## 775 0.525 0.448
## 776 0.523 0.404
## 777 0.542 0.431
## 778 0.488 0.557
## 779 0.423 0.449
## 780 0.000 0.554
## 781 0.574 0.564
## 782 0.490 0.581
## 783 0.489 0.570
## 784 0.505 0.591
## 785 0.605 0.482
## 786 0.644 0.532
## 787 0.878 0.209
## 788 0.875 0.148
## 789 0.862 0.233
## 790 0.876 0.201
## 791 0.865 0.190
## 792 0.835 0.237
## 793 0.814 0.245
## 794 0.784 0.229
## 795 0.799 0.225
## 796 0.809 0.211
## 797 0.833 0.213
## 798 0.811 0.213
## 799 0.807 0.223
## 800 0.797 0.246
## 801 0.696 0.308
## 802 0.696 0.320
## 803 0.710 0.349
## 804 0.695 0.327
## 805 0.679 0.362
## 806 0.738 0.384
## 807 0.665 0.319
## 808 0.698 0.409
## 809 0.604 0.271
## 810 0.697 0.256
## 811 0.629 0.263
## 812 0.674 0.276
## 813 0.663 0.282
## 814 0.635 0.266
## 815 0.621 0.243
## 816 0.679 0.295
## 817 0.716 0.303
## 818 0.637 0.268
## 819 0.775 0.279
## 820 0.596 0.236
## 821 0.658 0.266
## 822 0.670 0.388
## 823 0.779 0.357
## 824 0.716 0.356
## 825 0.692 0.329
## 826 0.685 0.339
## 827 0.661 0.323
## 828 0.649 0.403
## 829 0.631 0.328
## 830 0.670 0.311
## 831 0.604 0.186
## 832 0.743 0.306
## 833 0.647 0.291
## 834 0.664 0.347
## 835 0.704 0.378
## 836 0.698 0.357
## 837 0.682 0.386
## 838 0.674 0.425
## 839 0.693 0.340
## 840 0.788 0.201
## 841 0.836 0.237
## 842 0.734 0.312
## 843 0.737 0.310
## 844 0.769 0.243
## 845 0.752 0.195
## 846 0.739 0.153
## 847 0.731 0.207
## 848 0.780 0.191
## 849 0.785 0.169
## 850 0.827 0.188
## 851 0.776 0.181
## 852 0.777 0.171
## 853 0.794 0.175
## 854 0.742 0.189
## 855 0.768 0.176
## 856 0.760 0.192
## 857 0.740 0.176
## 858 0.703 0.185
## 859 0.743 0.194
## 860 0.742 0.186
## 861 0.696 0.240
## 862 0.683 0.240
## 863 0.669 0.331
## 864 0.645 0.265
## 865 0.643 0.343
## 866 0.612 0.260
## 867 0.565 0.345
## 868 0.684 0.286
## 869 0.660 0.313
## 870 0.690 0.305
## 871 0.641 0.312
## 872 0.628 0.392
## 873 0.000 0.000
## 874 0.000 0.000
## 875 0.000 0.000
## 876 0.669 0.185
## 877 0.651 0.179
## 878 0.675 0.160
## 879 0.679 0.129
## 880 0.692 0.149
## 881 0.695 0.154
## 882 0.740 0.184
## 883 0.674 0.164
## 884 0.718 0.169
## 885 0.730 0.174
## 886 0.702 0.155
## 887 0.757 0.171
## 888 0.693 0.162
## 889 0.787 0.139
## 890 0.684 0.150
## 891 0.705 0.198
## 892 0.725 0.162
## 893 0.772 0.149
## 894 0.772 0.183
## 895 0.819 0.123
## 896 0.760 0.228
## 897 0.707 0.194
## 898 0.765 0.161
## 899 0.814 0.221
## 900 0.702 0.172
## 901 0.743 0.226
## 902 0.788 0.230
## 903 0.759 0.237
## 904 0.751 0.251
## 905 0.733 0.297
## 906 0.655 0.237
## 907 0.000 0.318
## 908 0.598 0.169
## 909 0.695 0.118
## 910 0.696 0.124
## 911 0.596 0.100
## 912 0.692 0.203
## 913 0.636 0.206
## 914 0.753 0.180
## 915 0.704 0.150
## 916 0.738 0.186
## 917 0.778 0.170
## 918 0.749 0.141
## 919 0.726 0.201
## 920 0.846 0.182
## 921 0.718 0.252
## 922 0.718 0.203
## 923 0.793 0.177
## 924 0.821 0.095
## 925 0.752 0.283
## 926 0.000 0.000
## 927 0.723 0.324
## 928 0.688 0.315
## 929 0.692 0.307
## 930 0.695 0.303
## 931 0.655 0.159
## 932 0.655 0.130
## 933 0.623 0.147
## 934 0.607 0.165
## 935 0.650 0.123
## 936 0.681 0.151
## 937 0.691 0.182
## 938 0.722 0.135
## 939 0.725 0.185
## 940 0.767 0.173
## 941 0.778 0.126
## 942 0.755 0.160
## 943 0.763 0.203
## 944 0.766 0.207
## 945 0.803 0.258
## 946 0.886 0.163
## 947 0.861 0.136
## 948 0.829 0.202
## 949 0.900 0.225
## 950 0.917 0.387
## 951 0.873 0.344
## 952 0.852 0.332
## 953 0.878 0.306
## 954 0.822 0.358
## 955 0.654 0.234
## 956 0.673 0.247
## 957 0.639 0.215
## 958 0.525 0.242
## 959 0.563 0.222
## 960 0.560 0.232
## 961 0.642 0.227
## 962 0.652 0.226
## 963 0.608 0.228
## 964 0.654 0.231
## 965 0.623 0.232
## 966 0.585 0.192
## 967 0.575 0.212
## 968 0.714 0.202
## 969 0.584 0.292
## 970 0.548 0.320
## 971 0.527 0.365
## 972 0.528 0.401
## 973 0.525 0.341
## 974 0.578 0.320
## 975 0.499 0.339
## 976 0.499 0.409
## 977 0.559 0.267
## 978 0.568 0.243
## 979 0.553 0.263
## 980 0.515 0.244
## 981 0.464 0.271
## 982 0.322 0.494
## 983 0.793 0.170
## 984 0.732 0.270
## 985 0.746 0.255
## 986 0.735 0.273
## 987 0.613 0.435
## 988 0.585 0.261
## 989 0.595 0.217
## 990 0.543 0.443
## 991 0.505 0.388
## 992 0.636 0.509
## 993 0.668 0.391
## 994 0.660 0.436
## 995 0.636 0.389
## 996 0.695 0.316
## 997 0.704 0.369
## 998 0.718 0.383
## 999 0.697 0.379
## 1000 0.706 0.399
## 1001 0.709 0.401
## 1002 0.621 0.254
## 1003 0.589 0.279
## 1004 0.533 0.276
## 1005 0.526 0.271
## 1006 0.473 0.272
## 1007 0.570 0.275
## 1008 0.581 0.277
## 1009 0.581 0.294
## 1010 0.619 0.287
## 1011 0.595 0.276
## 1012 0.594 0.250
## 1013 0.608 0.195
## 1014 0.517 0.214
## 1015 0.566 0.276
## 1016 0.660 0.202
## 1017 0.799 0.238
## 1018 0.809 0.216
## 1019 0.836 0.200
## 1020 0.815 0.227
## 1021 0.640 0.185
## 1022 0.803 0.170
## 1023 0.757 0.193
## 1024 0.758 0.192
## 1025 0.766 0.184
## 1026 0.750 0.202
## 1027 0.789 0.212
## 1028 0.702 0.161
## 1029 0.614 0.215
## 1030 0.510 0.235
## 1031 0.690 0.194
## 1032 0.734 0.241
## 1033 0.748 0.192
## 1034 0.802 0.226
## 1035 0.813 0.204
## 1036 0.752 0.375
## 1037 0.752 0.362
## 1038 0.723 0.304
## 1039 0.670 0.222
## 1040 0.727 0.176
## 1041 0.765 0.130
## 1042 0.713 0.268
## 1043 0.816 0.200
## 1044 0.808 0.248
## 1045 0.704 0.263
## 1046 0.633 0.260
## 1047 0.603 0.325
## 1048 0.609 0.312
## 1049 0.586 0.365
## 1050 0.537 0.348
## 1051 0.750 0.243
## 1052 0.775 0.162
## 1053 0.815 0.186
## 1054 0.822 0.164
## 1055 0.832 0.192
## 1056 0.887 0.155
## 1057 0.867 0.177
## 1058 0.736 0.317
## 1059 0.770 0.261
## 1060 0.775 0.314
## 1061 0.824 0.200
## 1062 0.834 0.176
## 1063 0.000 0.000
## 1064 0.767 0.209
## 1065 0.682 0.164
## 1066 0.760 0.150
## 1067 0.797 0.162
## 1068 0.758 0.132
## 1069 0.681 0.109
## 1070 0.724 0.193
## 1071 0.741 0.186
## 1072 0.709 0.243
## 1073 0.807 0.305
## 1074 0.742 0.393
## 1075 0.770 0.370
## 1076 0.712 0.358
## 1077 0.715 0.358
## 1078 0.697 0.375
## 1079 0.736 0.340
## 1080 0.744 0.391
## 1081 0.660 0.370
## 1082 0.652 0.352
## 1083 0.680 0.355
## 1084 0.687 0.355
## 1085 0.721 0.302
## 1086 0.721 0.296
## 1087 0.707 0.356
## 1088 0.601 0.411
## 1089 0.733 0.174
## 1090 0.732 0.176
## 1091 0.738 0.170
## 1092 0.778 0.129
## 1093 0.762 0.175
## 1094 0.782 0.164
## 1095 0.793 0.196
## 1096 0.755 0.163
## 1097 0.820 0.194
## 1098 0.735 0.222
## 1099 0.637 0.272
## 1100 0.663 0.276
## 1101 0.692 0.260
## 1102 0.738 0.253
## 1103 0.808 0.222
## 1104 0.785 0.246
## 1105 0.748 0.169
## 1106 0.774 0.158
## 1107 0.808 0.149
## 1108 0.767 0.138
## 1109 0.820 0.219
## 1110 0.816 0.248
## 1111 0.825 0.201
## 1112 0.849 0.196
## 1113 0.840 0.215
## 1114 0.790 0.228
## 1115 0.784 0.278
## 1116 0.790 0.223
## 1117 0.802 0.229
## 1118 0.745 0.237
## 1119 0.859 0.220
## 1120 0.843 0.231
## 1121 0.882 0.213
## 1122 0.864 0.252
## 1123 0.810 0.292
## 1124 0.619 0.255
## 1125 0.571 0.306
## 1126 0.584 0.284
## 1127 0.562 0.306
## 1128 0.584 0.278
## 1129 0.568 0.285
## 1130 0.568 0.314
## 1131 0.582 0.261
## 1132 0.583 0.260
## 1133 0.590 0.281
## 1134 0.621 0.275
## 1135 0.581 0.259
## 1136 0.582 0.270
## 1137 0.631 0.262
## 1138 0.727 0.268
## 1139 0.571 0.203
## 1140 0.586 0.173
## 1141 0.712 0.150
## 1142 0.692 0.153
## 1143 0.689 0.181
## 1144 0.649 0.179
## 1145 0.627 0.170
## 1146 0.653 0.208
## 1147 0.694 0.171
## 1148 0.675 0.214
## 1149 0.654 0.192
## 1150 0.707 0.167
## 1151 0.636 0.260
## 1152 0.579 0.340
## 1153 0.623 0.423
## 1154 0.595 0.410
## 1155 0.603 0.378
## 1156 0.574 0.379
## 1157 0.539 0.331
## 1158 0.587 0.368
## 1159 0.580 0.337
## 1160 0.591 0.337
## 1161 0.519 0.350
## 1162 0.590 0.355
## 1163 0.591 0.366
## 1164 0.603 0.411
## 1165 0.000 0.000
## 1166 0.736 0.187
## 1167 0.687 0.281
## 1168 0.784 0.239
## 1169 0.661 0.262
## 1170 0.713 0.205
## 1171 0.559 0.323
## 1172 0.638 0.416
## 1173 0.589 0.410
## 1174 0.587 0.256
## 1175 0.623 0.327
## 1176 0.634 0.240
## 1177 0.623 0.280
## 1178 0.592 0.243
## 1179 0.564 0.340
## 1180 0.648 0.353
## 1181 0.640 0.397
## 1182 0.587 0.384
## 1183 0.764 0.205
## 1184 0.803 0.217
## 1185 0.858 0.112
## 1186 0.866 0.272
## 1187 0.804 0.302
## 1188 0.746 0.282
## 1189 0.777 0.300
## 1190 0.755 0.286
## 1191 0.800 0.289
## 1192 0.811 0.160
## 1193 0.749 0.239
## 1194 0.721 0.277
## 1195 0.739 0.240
## 1196 0.672 0.256
## 1197 0.648 0.248
## 1198 0.717 0.171
## 1199 0.643 0.152
## 1200 0.745 0.153
## 1201 0.570 0.215
## 1202 0.672 0.226
## 1203 0.699 0.207
## 1204 0.736 0.231
## 1205 0.629 0.279
## 1206 0.614 0.287
## 1207 0.543 0.358
## 1208 0.627 0.370
## 1209 0.571 0.376
## 1210 0.537 0.387
## 1211 0.536 0.357
## 1212 0.869 0.233
## 1213 0.818 0.213
## 1214 0.788 0.182
## 1215 0.853 0.206
## 1216 0.863 0.181
## 1217 0.861 0.226
## 1218 0.867 0.235
## 1219 0.868 0.221
## 1220 0.834 0.202
## 1221 0.838 0.215
## 1222 0.852 0.185
## 1223 0.862 0.205
## 1224 0.838 0.231
## 1225 0.784 0.247
## 1226 0.880 0.219
## 1227 0.854 0.238
## 1228 0.854 0.232
## 1229 0.847 0.235
## 1230 0.864 0.210
## 1231 0.866 0.207
## 1232 0.835 0.151
## 1233 0.848 0.199
## 1234 0.834 0.160
## 1235 0.833 0.207
## 1236 0.817 0.172
## 1237 0.845 0.168
## 1238 0.816 0.191
## 1239 0.849 0.209
## 1240 0.779 0.294
## 1241 0.810 0.287
## 1242 0.784 0.289
## 1243 0.781 0.299
## 1244 0.805 0.268
## 1245 0.791 0.309
## 1246 0.803 0.255
## 1247 0.839 0.271
## 1248 0.813 0.334
## 1249 0.797 0.346
## 1250 0.805 0.380
## 1251 0.850 0.308
## 1252 0.793 0.408
## 1253 0.835 0.337
## 1254 0.755 0.179
## 1255 0.706 0.158
## 1256 0.650 0.194
## 1257 0.730 0.115
## 1258 0.745 0.126
## 1259 0.700 0.166
## 1260 0.603 0.142
## 1261 0.650 0.208
## 1262 0.678 0.205
## 1263 0.682 0.218
## 1264 0.675 0.325
## 1265 0.731 0.427
## 1266 0.771 0.503
## 1267 0.816 0.304
## 1268 0.781 0.178
## 1269 0.826 0.141
## 1270 0.740 0.244
## 1271 0.745 0.225
## 1272 0.782 0.190
## 1273 0.811 0.209
## 1274 0.638 0.286
## 1275 0.717 0.251
## 1276 0.732 0.252
## 1277 0.725 0.236
## 1278 0.805 0.256
## 1279 0.715 0.245
## 1280 0.744 0.316
## 1281 0.709 0.405
## 1282 0.622 0.443
## 1283 0.724 0.311
## 1284 0.702 0.319
## 1285 0.644 0.346
## 1286 0.480 0.262
## 1287 0.494 0.296
## 1288 0.603 0.251
## 1289 0.576 0.370
## 1290 0.567 0.314
## 1291 0.588 0.363
## 1292 0.642 0.422
## 1293 0.578 0.331
## 1294 0.637 0.307
## 1295 0.620 0.299
## 1296 0.639 0.292
## 1297 0.502 0.299
## 1298 0.590 0.298
## 1299 0.576 0.304
## 1300 0.605 0.365
## 1301 0.832 0.197
## 1302 0.792 0.155
## 1303 0.823 0.213
## 1304 0.834 0.194
## 1305 0.843 0.209
## 1306 0.850 0.209
## 1307 0.849 0.203
## 1308 0.827 0.212
## 1309 0.823 0.195
## 1310 0.823 0.216
## 1311 0.000 0.295
## 1312 0.000 0.237
## 1313 0.683 0.310
## 1314 0.655 0.321
## 1315 0.639 0.349
## 1316 0.651 0.372
## 1317 0.628 0.358
## 1318 0.665 0.332
## 1319 0.598 0.274
## 1320 0.585 0.295
## 1321 0.575 0.329
## 1322 0.648 0.332
## 1323 0.586 0.308
## 1324 0.567 0.377
## 1325 0.581 0.424
## 1326 0.497 0.431
## 1327 0.566 0.412
## 1328 0.571 0.403
## 1329 0.544 0.466
## 1330 0.628 0.381
## 1331 0.567 0.388
## 1332 0.616 0.379
## 1333 0.594 0.365
## 1334 0.565 0.380
## 1335 0.594 0.369
## 1336 0.593 0.378
## 1337 0.597 0.416
## 1338 0.610 0.419
## 1339 0.625 0.400
## 1340 0.845 0.232
## 1341 0.820 0.149
## 1342 0.819 0.150
## 1343 0.883 0.144
## 1344 0.888 0.146
## 1345 0.885 0.180
## 1346 0.869 0.207
## 1347 0.869 0.226
## 1348 0.808 0.254
## 1349 0.801 0.264
## 1350 0.858 0.244
## 1351 0.833 0.242
## 1352 0.884 0.223
## 1353 0.878 0.244
## 1354 0.816 0.303
## 1355 0.867 0.219
## 1356 0.849 0.259
## 1357 0.832 0.186
## 1358 0.855 0.176
## 1359 0.810 0.190
## 1360 0.837 0.213
## 1361 0.919 0.224
## 1362 0.944 0.216
## 1363 0.866 0.219
## 1364 0.925 0.197
## 1365 0.903 0.232
## 1366 0.858 0.275
## 1367 0.697 0.420
## 1368 0.758 0.361
## 1369 0.763 0.354
## 1370 0.811 0.320
## 1371 0.800 0.330
## 1372 0.780 0.331
## 1373 0.757 0.398
## 1374 0.778 0.390
## 1375 0.759 0.319
## 1376 0.754 0.378
## 1377 0.822 0.338
## 1378 0.789 0.394
## 1379 0.809 0.380
## 1380 0.820 0.375
## 1381 0.832 0.000
## 1382 0.784 0.378
## 1383 0.805 0.384
## 1384 0.846 0.311
## 1385 0.876 0.294
## 1386 0.851 0.358
## 1387 0.865 0.351
## 1388 0.799 0.332
## 1389 0.813 0.334
## 1390 0.805 0.351
## 1391 0.821 0.290
## 1392 0.769 0.341
## 1393 0.773 0.393
## 1394 0.781 0.341
## 1395 0.804 0.327
## 1396 0.715 0.282
## 1397 0.760 0.238
## 1398 0.690 0.246
## 1399 0.737 0.234
## 1400 0.725 0.224
## 1401 0.787 0.267
## 1402 0.784 0.242
## 1403 0.777 0.223
## 1404 0.734 0.240
## 1405 0.777 0.224
## 1406 0.677 0.203
## 1407 0.742 0.176
## 1408 0.725 0.168
## 1409 0.760 0.329
## 1410 0.709 0.333
## 1411 0.703 0.309
## 1412 0.742 0.265
## 1413 0.725 0.279
## 1414 0.729 0.370
## 1415 0.700 0.348
## 1416 0.705 0.358
## 1417 0.657 0.371
## 1418 0.684 0.326
## 1419 0.649 0.294
## 1420 0.679 0.318
## 1421 0.710 0.300
## 1422 0.648 0.383
## 1423 0.678 0.258
## 1424 0.000 0.000
## 1425 0.761 0.328
## 1426 0.766 0.322
## 1427 0.000 0.000
## 1428 0.642 0.346
## 1429 0.644 0.277
## 1430 0.548 0.270
## 1431 0.596 0.344
## 1432 0.543 0.294
## 1433 0.556 0.343
## 1434 0.640 0.329
## 1435 0.654 0.331
## 1436 0.714 0.312
## 1437 0.694 0.258
## 1438 0.734 0.231
## 1439 0.735 0.298
## 1440 0.697 0.244
## 1441 0.611 0.232
## 1442 0.623 0.193
## 1443 0.594 0.166
## 1444 0.566 0.169
## 1445 0.589 0.171
## 1446 0.601 0.165
## 1447 0.611 0.174
## 1448 0.680 0.180
## 1449 0.688 0.151
## 1450 0.679 0.130
## 1451 0.636 0.142
## 1452 0.710 0.195
## 1453 0.673 0.199
## 1454 0.691 0.200
## 1455 0.645 0.190
## 1456 0.735 0.189
## 1457 0.643 0.221
## 1458 0.678 0.112
## 1459 0.665 0.154
## 1460 0.703 0.132
## 1461 0.760 0.167
## 1462 0.763 0.134
## 1463 0.721 0.206
## 1464 0.752 0.285
## 1465 0.762 0.358
## 1466 0.793 0.308
## 1467 0.736 0.418
## 1468 0.730 0.243
## 1469 0.772 0.232
## 1470 0.710 0.202
## 1471 0.742 0.319
## 1472 0.645 0.297
## 1473 0.726 0.240
## 1474 0.715 0.225
## 1475 0.744 0.276
## 1476 0.705 0.313
## 1477 0.724 0.327
## 1478 0.793 0.266
## 1479 0.775 0.306
## 1480 0.764 0.288
## 1481 0.732 0.238
## 1482 0.754 0.251
## 1483 0.740 0.225
## 1484 0.714 0.199
## 1485 0.673 0.252
## 1486 0.757 0.228
## 1487 0.769 0.143
## 1488 0.752 0.180
## 1489 0.771 0.214
## 1490 0.680 0.165
## 1491 0.725 0.157
## 1492 0.711 0.208
## 1493 0.784 0.245
## 1494 0.746 0.291
## 1495 0.714 0.247
## 1496 0.789 0.332
## 1497 0.576 0.334
## 1498 0.544 0.435
## 1499 0.532 0.415
## 1500 0.545 0.410
## 1501 0.514 0.371
## 1502 0.529 0.403
## 1503 0.498 0.326
## 1504 0.496 0.303
## 1505 0.535 0.298
## 1506 0.510 0.326
## 1507 0.559 0.296
## 1508 0.509 0.242
## 1509 0.603 0.358
## 1510 0.505 0.381
## 1511 0.582 0.290
## 1512 0.534 0.370
## 1513 0.514 0.290
## 1514 0.446 0.300
## 1515 0.521 0.423
## 1516 0.570 0.334
## 1517 0.625 0.414
## 1518 0.584 0.456
## 1519 0.600 0.495
## 1520 0.552 0.466
## 1521 0.513 0.438
## 1522 0.751 0.267
## 1523 0.700 0.114
## 1524 0.721 0.256
## 1525 0.500 0.208
## 1526 0.602 0.131
## 1527 0.483 0.144
## 1528 0.770 0.148
## 1529 0.841 0.180
## 1530 0.803 0.142
## 1531 0.824 0.111
## 1532 0.800 0.179
## 1533 0.787 0.107
## 1534 0.723 0.138
## 1535 0.678 0.308
## 1536 0.666 0.277
## 1537 0.637 0.287
## 1538 0.656 0.302
## 1539 0.698 0.277
## 1540 0.703 0.267
## 1541 0.714 0.269
## 1542 0.774 0.232
## 1543 0.788 0.213
## 1544 0.754 0.253
## 1545 0.750 0.252
## 1546 0.764 0.274
## 1547 0.652 0.307
## 1548 0.641 0.303
## 1549 0.671 0.295
## 1550 0.652 0.285
## 1551 0.656 0.284
## 1552 0.635 0.274
## 1553 0.620 0.291
## 1554 0.659 0.261
## 1555 0.626 0.272
## 1556 0.615 0.286
## 1557 0.644 0.275
## 1558 0.679 0.228
## 1559 0.610 0.314
## 1560 0.834 0.207
## 1561 0.901 0.187
## 1562 0.891 0.193
## 1563 0.819 0.112
## 1564 0.769 0.083
## 1565 0.749 0.122
## 1566 0.735 0.152
## 1567 0.802 0.223
## 1568 0.735 0.210
## 1569 0.773 0.206
## 1570 0.727 0.231
## 1571 0.794 0.124
## 1572 0.763 0.230
## 1573 0.761 0.178
## 1574 0.773 0.167
## 1575 0.798 0.243
## 1576 0.781 0.161
## 1577 0.786 0.301
## 1578 0.785 0.268
## 1579 0.812 0.283
## 1580 0.801 0.268
## 1581 0.820 0.294
## 1582 0.651 0.338
## 1583 0.690 0.226
## 1584 0.643 0.239
## 1585 0.697 0.209
## 1586 0.662 0.130
## 1587 0.656 0.168
## 1588 0.664 0.206
## 1589 0.676 0.189
## 1590 0.653 0.283
## 1591 0.650 0.244
## 1592 0.676 0.233
## 1593 0.623 0.235
## 1594 0.661 0.217
## 1595 0.684 0.236
## 1596 0.640 0.247
## 1597 0.614 0.428
## 1598 0.586 0.450
## 1599 0.615 0.549
## 1600 0.586 0.517
## 1601 0.776 0.241
## 1602 0.763 0.264
## 1603 0.772 0.260
## 1604 0.752 0.336
## 1605 0.724 0.322
## 1606 0.737 0.356
## 1607 0.749 0.366
## 1608 0.696 0.372
## 1609 0.716 0.335
## 1610 0.732 0.285
## 1611 0.653 0.301
## 1612 0.625 0.302
## 1613 0.659 0.357
## 1614 0.663 0.316
## 1615 0.686 0.317
## 1616 0.757 0.216
## 1617 0.709 0.220
## 1618 0.790 0.153
## 1619 0.770 0.172
## 1620 0.823 0.163
## 1621 0.825 0.175
## 1622 0.864 0.197
## 1623 0.860 0.208
## 1624 0.843 0.187
## 1625 0.848 0.235
## 1626 0.795 0.270
## 1627 0.831 0.302
## 1628 0.816 0.315
## 1629 0.734 0.245
## 1630 0.669 0.221
## 1631 0.586 0.249
## 1632 0.576 0.242
## 1633 0.541 0.303
## 1634 0.764 0.250
## 1635 0.821 0.251
## 1636 0.824 0.252
## 1637 0.778 0.280
## 1638 0.840 0.151
## 1639 0.796 0.177
## 1640 0.804 0.134
## 1641 0.820 0.151
## 1642 0.833 0.200
## 1643 0.815 0.179
## 1644 0.855 0.170
## 1645 0.829 0.184
## 1646 0.836 0.208
## 1647 0.818 0.191
## 1648 0.816 0.201
## 1649 0.814 0.175
## 1650 0.823 0.161
## 1651 0.826 0.202
## 1652 0.766 0.222
## 1653 0.821 0.212
## 1654 0.814 0.202
## 1655 0.859 0.176
## 1656 0.823 0.189
## 1657 0.809 0.166
## 1658 0.779 0.206
## 1659 0.774 0.196
## 1660 0.792 0.192
## 1661 0.798 0.171
## 1662 0.769 0.193
## 1663 0.609 0.338
## 1664 0.574 0.292
## 1665 0.558 0.225
## 1666 0.599 0.496
## 1667 0.464 0.705
## 1668 0.387 0.622
## 1669 0.369 0.643
## 1670 0.814 0.094
## 1671 0.794 0.169
## 1672 0.845 0.136
## 1673 0.827 0.112
## 1674 0.821 0.140
## 1675 0.846 0.124
## 1676 0.849 0.108
## 1677 0.832 0.129
## 1678 0.833 0.108
## 1679 0.837 0.114
## 1680 0.848 0.093
## 1681 0.860 0.093
## 1682 0.845 0.083
## 1683 0.566 0.195
## 1684 0.694 0.133
## 1685 0.606 0.160
## 1686 0.605 0.203
## 1687 0.643 0.192
## 1688 0.698 0.166
## 1689 0.714 0.198
## 1690 0.677 0.170
## 1691 0.656 0.196
## 1692 0.689 0.196
## 1693 0.644 0.220
## 1694 0.603 0.278
## 1695 0.695 0.220
## 1696 0.729 0.178
## 1697 0.749 0.344
## 1698 0.748 0.209
## 1699 0.755 0.220
## 1700 0.744 0.178
## 1701 0.778 0.161
## 1702 0.717 0.146
## 1703 0.765 0.145
## 1704 0.679 0.195
## 1705 0.738 0.191
## 1706 0.731 0.241
## 1707 0.619 0.192
## 1708 0.694 0.246
## 1709 0.715 0.255
## 1710 0.762 0.221
## 1711 0.726 0.243
## 1712 0.686 0.271
## 1713 0.814 0.164
## 1714 0.832 0.180
## 1715 0.819 0.145
## 1716 0.898 0.166
## 1717 0.901 0.182
## 1718 0.934 0.117
## 1719 0.855 0.138
## 1720 0.846 0.141
## 1721 0.811 0.169
## 1722 0.910 0.174
## 1723 0.835 0.218
## 1724 0.816 0.232
## 1725 0.843 0.198
## 1726 0.843 0.208
## 1727 0.783 0.326
## 1728 0.615 0.348
## 1729 0.362 0.379
## 1730 0.480 0.395
## 1731 0.583 0.443
## 1732 0.599 0.416
## 1733 0.604 0.483
## 1734 0.614 0.426
## 1735 0.608 0.446
## 1736 0.590 0.444
## 1737 0.798 0.229
## 1738 0.817 0.184
## 1739 0.906 0.134
## 1740 0.833 0.286
## 1741 0.846 0.248
## 1742 0.000 0.000
## 1743 0.725 0.249
## 1744 0.588 0.248
## 1745 0.521 0.327
## 1746 0.517 0.239
## 1747 0.503 0.321
## 1748 0.573 0.320
## 1749 0.612 0.378
## 1750 0.421 0.377
## 1751 0.592 0.365
## 1752 0.539 0.433
## 1753 0.585 0.439
## 1754 0.557 0.000
## 1755 0.651 0.395
## 1756 0.614 0.345
## 1757 0.598 0.316
## 1758 0.652 0.327
## 1759 0.621 0.380
## 1760 0.645 0.335
## 1761 0.635 0.392
## 1762 0.483 0.377
## 1763 0.460 0.382
## 1764 0.465 0.390
## 1765 0.450 0.313
## 1766 0.435 0.351
## 1767 0.422 0.368
## 1768 0.384 0.440
## 1769 0.781 0.152
## 1770 0.639 0.122
## 1771 0.584 0.117
## 1772 0.599 0.160
## 1773 0.695 0.154
## 1774 0.705 0.301
## 1775 0.636 0.255
## 1776 0.521 0.350
## 1777 0.612 0.189
## 1778 0.510 0.183
## 1779 0.590 0.254
## 1780 0.708 0.228
## 1781 0.641 0.240
## 1782 0.640 0.296
## 1783 0.648 0.251
## 1784 0.678 0.254
## 1785 0.754 0.265
## 1786 0.676 0.346
## 1787 0.681 0.397
## 1788 0.703 0.353
## 1789 0.668 0.410
## 1790 0.703 0.400
## 1791 0.685 0.390
## 1792 0.693 0.385
## 1793 0.699 0.425
## 1794 0.622 0.249
## 1795 0.636 0.208
## 1796 0.573 0.186
## 1797 0.583 0.189
## 1798 0.513 0.227
## 1799 0.590 0.220
## 1800 0.570 0.193
## 1801 0.643 0.225
## 1802 0.594 0.249
## 1803 0.574 0.241
## 1804 0.589 0.220
## 1805 0.597 0.235
## 1806 0.609 0.222
## 1807 0.634 0.201
## 1808 0.688 0.285
## 1809 0.746 0.275
## 1810 0.770 0.287
## 1811 0.763 0.233
## 1812 0.763 0.216
## 1813 0.768 0.224
## 1814 0.000 0.291
## 1815 0.000 0.000
## 1816 0.761 0.296
## 1817 0.775 0.245
## 1818 0.795 0.208
## 1819 0.787 0.302
## 1820 0.793 0.284
## 1821 0.752 0.298
## 1822 0.864 0.262
## 1823 0.782 0.241
## 1824 0.819 0.218
## 1825 0.846 0.231
## 1826 0.863 0.176
## 1827 0.844 0.174
## 1828 0.844 0.184
## 1829 0.776 0.252
## 1830 0.794 0.251
## 1831 0.798 0.219
## 1832 0.776 0.230
## 1833 0.759 0.210
## 1834 0.783 0.228
## 1835 0.775 0.251
## 1836 0.758 0.225
## 1837 0.827 0.261
## 1838 0.829 0.232
## 1839 0.872 0.227
## 1840 0.843 0.262
## 1841 0.861 0.231
## 1842 0.836 0.273
## 1843 0.834 0.260
## 1844 0.814 0.260
## 1845 0.834 0.281
## 1846 0.814 0.275
## 1847 0.806 0.264
## 1848 0.827 0.268
## 1849 0.815 0.292
## 1850 0.815 0.244
## 1851 0.787 0.295
## 1852 0.784 0.306
## 1853 0.777 0.274
## 1854 0.751 0.264
## 1855 0.793 0.255
## 1856 0.807 0.231
## 1857 0.805 0.252
## 1858 0.788 0.214
## 1859 0.826 0.253
## 1860 0.869 0.251
## 1861 0.893 0.300
## 1862 0.842 0.283
## 1863 0.836 0.280
## 1864 0.877 0.275
## 1865 0.889 0.222
## 1866 0.807 0.265
## 1867 0.728 0.195
## 1868 0.714 0.187
## 1869 0.736 0.159
## 1870 0.776 0.152
## 1871 0.787 0.123
## 1872 0.786 0.118
## 1873 0.749 0.130
## 1874 0.805 0.106
## 1875 0.840 0.103
## 1876 0.842 0.147
## 1877 0.839 0.203
## 1878 0.825 0.209
## 1879 0.845 0.220
## 1880 0.819 0.233
## 1881 0.859 0.178
## 1882 0.802 0.224
## 1883 0.825 0.180
## 1884 0.862 0.130
## 1885 0.828 0.199
## 1886 0.858 0.176
## 1887 0.840 0.238
## 1888 0.811 0.244
## 1889 0.867 0.223
## 1890 0.688 0.392
## 1891 0.726 0.363
## 1892 0.759 0.374
## 1893 0.761 0.351
## 1894 0.722 0.396
## 1895 0.682 0.204
## 1896 0.588 0.206
## 1897 0.665 0.218
## 1898 0.583 0.190
## 1899 0.685 0.216
## 1900 0.532 0.193
## 1901 0.615 0.221
## 1902 0.718 0.165
## 1903 0.701 0.241
## 1904 0.642 0.232
## 1905 0.536 0.223
## 1906 0.000 0.000
## 1907 0.692 0.191
## 1908 0.751 0.186
## 1909 0.592 0.379
## 1910 0.583 0.374
## 1911 0.582 0.308
## 1912 0.503 0.285
## 1913 0.502 0.263
## 1914 0.558 0.266
## 1915 0.611 0.276
## 1916 0.507 0.321
## 1917 0.469 0.228
## 1918 0.455 0.295
## 1919 0.461 0.315
## 1920 0.543 0.213
## 1921 0.701 0.226
## 1922 0.687 0.246
## 1923 0.744 0.206
## 1924 0.728 0.123
## 1925 0.833 0.204
## 1926 0.726 0.250
## 1927 0.735 0.308
## 1928 0.692 0.327
## 1929 0.690 0.382
## 1930 0.731 0.372
## 1931 0.685 0.387
## 1932 0.703 0.351
## 1933 0.743 0.394
## 1934 0.691 0.345
## 1935 0.715 0.297
## 1936 0.661 0.265
## 1937 0.631 0.250
## 1938 0.736 0.218
## 1939 0.748 0.122
## 1940 0.781 0.211
## 1941 0.669 0.177
## 1942 0.712 0.182
## 1943 0.725 0.239
## 1944 0.715 0.179
## 1945 0.738 0.209
## 1946 0.806 0.224
## 1947 0.710 0.212
## 1948 0.716 0.235
## 1949 0.703 0.346hist(df1$Life.Ladder)
hist(df1$Log.GDP.per.capita, breaks = 'Sturges')
hist(df1$Life.Ladder, breaks = 'Scott')
hist(df1$Social.support, breaks = 'FD')
hist(df1$Positive.affect, breaks = 'st')
hist(df1$Log.GDP.per.capita, breaks = 10)
hist(df1$Generosity, col = 'gray', main = NULL, xlab = 'Size', ylim = c(0, 3), freq = FALSE)
plot(df1$Life.Ladder)
plot(df1$Social.support)
plot(df1$Healthy.life.expectancy.at.birth)
plot(df1$Freedom.to.make.life.choices)
sin(head(df1$Life.Ladder))## [1] -0.5500360 -0.9522148 -0.9989600 -0.6368513 -0.5983237 -0.4172410cos(head(df1$Life.Ladder))## [1] -0.83514094 -0.30542905 0.04559521 -0.77098666 -0.80125450 -0.90879586factorial(head(df$Social.support))## [1] 0.8856518 0.8890161 0.8881130 0.8870880 0.8870880 0.8858162abs(head(df1$Life.Ladder))## [1] 3.724 4.402 4.758 3.832 3.783 3.572sqrt(head(df1$Log.GDP.per.capita))## [1] 2.714774 2.745906 2.765321 2.760435 2.775788 2.779388tan(head(df1$Freedom.to.make.life.choices))## [1] 0.8735356 0.8070088 0.6841368 0.5411200 0.5872611 0.6523137asin(head(df1$Generosity))## [1] 0.16880048 0.19116215 0.12129722 0.16271709 0.23824751 0.06103789head(df1[1])## ï..Country.name
## 1 Afghanistan
## 2 Afghanistan
## 3 Afghanistan
## 4 Afghanistan
## 5 Afghanistan
## 6 Afghanistanhead(df1[1:4])## ï..Country.name year Life.Ladder Log.GDP.per.capita
## 1 Afghanistan 2008 3.724 7.370
## 2 Afghanistan 2009 4.402 7.540
## 3 Afghanistan 2010 4.758 7.647
## 4 Afghanistan 2011 3.832 7.620
## 5 Afghanistan 2012 3.783 7.705
## 6 Afghanistan 2013 3.572 7.725head(df1[-1])## year Life.Ladder Log.GDP.per.capita Social.support
## 1 2008 3.724 7.370 0.451
## 2 2009 4.402 7.540 0.552
## 3 2010 4.758 7.647 0.539
## 4 2011 3.832 7.620 0.521
## 5 2012 3.783 7.705 0.521
## 6 2013 3.572 7.725 0.484
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 2 51.20 0.679 0.190
## 3 51.60 0.600 0.121
## 4 51.92 0.496 0.162
## 5 52.24 0.531 0.236
## 6 52.56 0.578 0.061
## Perceptions.of.corruption Positive.affect Negative.affect
## 1 0.882 0.518 0.258
## 2 0.850 0.584 0.237
## 3 0.707 0.618 0.275
## 4 0.731 0.611 0.267
## 5 0.776 0.710 0.268
## 6 0.823 0.621 0.273head(df1[df1 > 7])## [1] "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan"
## [6] "Afghanistan"head(df1[df1 < 5 | df1 > 10], n = 10)## [1] "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan"
## [6] "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan"sort(head(df1$Life.Ladder), decreasing = TRUE)## [1] 4.758 4.402 3.832 3.783 3.724 3.572sort(head(df1$Log.GDP.per.capita), na.last = NA)## [1] 7.370 7.540 7.620 7.647 7.705 7.725sort(head(df1$Log.GDP.per.capita), na.last = TRUE)## [1] 7.370 7.540 7.620 7.647 7.705 7.725sort(head(df1$Life.Ladder), na.last = FALSE)## [1] 3.572 3.724 3.783 3.832 4.402 4.758df1[1003,7]## [1] 0.59df1[777,1:5]## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 777 Iraq 2010 5.065 9.112 0.854head(df1[7])## Freedom.to.make.life.choices
## 1 0.718
## 2 0.679
## 3 0.600
## 4 0.496
## 5 0.531
## 6 0.578with(df1, sum(Life.Ladder))## [1] 10654.61names(df1)## [1] "ï..Country.name" "year"
## [3] "Life.Ladder" "Log.GDP.per.capita"
## [5] "Social.support" "Healthy.life.expectancy.at.birth"
## [7] "Freedom.to.make.life.choices" "Generosity"
## [9] "Perceptions.of.corruption" "Positive.affect"
## [11] "Negative.affect"sd(df1$Life.Ladder)## [1] 1.115711mad(df1$Life.Ladder, na.rm = FALSE)## [1] 1.203871density(df1$Life.Ladder)##
## Call:
## density.default(x = df1$Life.Ladder)
##
## Data: df1$Life.Ladder (1949 obs.); Bandwidth 'bw' = 0.2207
##
## x y
## Min. :1.713 Min. :0.0000109
## 1st Qu.:3.455 1st Qu.:0.0151133
## Median :5.197 Median :0.1544516
## Mean :5.197 Mean :0.1433668
## 3rd Qu.:6.939 3rd Qu.:0.2605130
## Max. :8.681 Max. :0.3388449hist(df1$Perceptions.of.corruption)
hist(df1$Negative.affect)
hist(df1$Generosity, col = 'lightblue', main = NULL, xlab = 'Size', ylim = c(0, 3), freq = FALSE)
density(df1$Log.GDP.per.capita)##
## Call:
## density.default(x = df1$Log.GDP.per.capita)
##
## Data: df1$Log.GDP.per.capita (1949 obs.); Bandwidth 'bw' = 0.2861
##
## x y
## Min. :-0.8583 Min. :0.000000
## 1st Qu.: 2.4828 1st Qu.:0.000000
## Median : 5.8240 Median :0.005411
## Mean : 5.8240 Mean :0.074749
## 3rd Qu.: 9.1652 3rd Qu.:0.165907
## Max. :12.5063 Max. :0.315467density(df1$Social.support)##
## Call:
## density.default(x = df1$Social.support)
##
## Data: df1$Social.support (1949 obs.); Bandwidth 'bw' = 0.02333
##
## x y
## Min. :-0.06998 Min. :0.00000
## 1st Qu.: 0.21176 1st Qu.:0.02202
## Median : 0.49350 Median :0.11809
## Mean : 0.49350 Mean :0.88647
## 3rd Qu.: 0.77524 3rd Qu.:1.33642
## Max. : 1.05698 Max. :4.28035plot(density(df1$Life.Ladder))
plot(density(df1$Log.GDP.per.capita))
plot(density(df1$Social.support))
plot(density(df1$Healthy.life.expectancy.at.birth))
plot(density(df1$Freedom.to.make.life.choices))
plot(density(df1$Generosity))
plot(density(df1$Positive.affect))
hist(df1$Life.Ladder,freq = F)
lines(density(df1$Life.Ladder),lty=2)
lines(density(df1$Life.Ladder,k='rectangular'))
hist(df1$Log.GDP.per.capita,freq = F)
lines(density(df1$Log.GDP.per.capita),lty=2)
lines(density(df1$Log.GDP.per.capita,k='rectangular'))
hist(df1$Social.support,freq = F)
lines(density(df1$Social.support),lty=2)
lines(density(df1$Social.support,k='rectangular'))
hist(df1$Positive.affect,freq = F)
lines(density(df1$Positive.affect),lty=2)
lines(density(df1$Positive.affect,k='rectangular'))
head(rnorm(df1$Life.Ladder,mean = 0,sd=1))## [1] 0.44000369 0.30935139 -0.05399617 0.05421409 0.34526439 -0.51254447head(rnorm(df1$Log.GDP.per.capita,mean = 0,sd=1))## [1] -0.87294640 -0.08366881 0.40882932 1.57457762 -1.91405713 -1.36215527head(rnorm(df1$Positive.affect,mean = 0,sd=1))## [1] 0.09766122 0.73664029 1.64864435 -0.34736024 -0.13779749 0.32724064head(pnorm(df1$Life.Ladder,mean = 0,sd=1))## [1] 0.9999020 0.9999946 0.9999990 0.9999364 0.9999225 0.9998229head(pnorm(df1$Healthy.life.expectancy.at.birth,mean = 0,sd=1))## [1] 1 1 1 1 1 1head(pnorm(df1$Social.support,mean = 0,sd=1))## [1] 0.6740052 0.7095258 0.7050566 0.6988166 0.6988166 0.6858071head(qnorm(df1$Life.Ladder,mean = 0,sd=1))## Warning in qnorm(df1$Life.Ladder, mean = 0, sd = 1): NaNs produced## [1] NaN NaN NaN NaN NaN NaNhead(qnorm(df1$Log.GDP.per.capita,mean = 0,sd=1))## Warning in qnorm(df1$Log.GDP.per.capita, mean = 0, sd = 1): NaNs produced## [1] NaN NaN NaN NaN NaN NaNhead(qnorm(df1$Generosity,mean = 0,sd=1))## Warning in qnorm(df1$Generosity, mean = 0, sd = 1): NaNs produced## [1] -0.9620988 -0.8778963 -1.1700024 -0.9862713 -0.7192287 -1.5464331head(dnorm(df1$Generosity,mean = 0,sd=1))## [1] 0.3933519 0.3918060 0.3960325 0.3937416 0.3879858 0.3982007head(dnorm(df1$Life.Ladder,mean = 0,sd=1))## [1] 3.885742e-04 2.472389e-05 4.841817e-06 2.583874e-04 3.113842e-04
## [6] 6.765322e-04head(dnorm(df1$Log.GDP.per.capita,mean = 0,sd=1))## [1] 6.399486e-13 1.801947e-13 7.996055e-14 9.826205e-14 5.123000e-14
## [6] 4.390487e-14qqnorm(df$Life.Ladder)
qqnorm(df$Log.GDP.per.capita)
qqnorm(df$Positive.affect)
qqnorm(df1$Life.Ladder, main = 'QQ plot of df1$Life.Ladder', xlab = 'Theoretical',
ylab = 'Quantiles for df1$Life.Ladder')
qqline(df1$Life.Ladder, lwd = 2, lty = 2)
qqnorm(df1$Log.GDP.per.capita, main = 'QQ plot of df1$Log.GDP.per.capita', xlab = 'Theoretical',
ylab = 'Quantiles for df1$Log.GDP.per.capita')
qqline(df1$Log.GDP.per.capita, lwd = 2, lty = 2)
qqnorm(df1$Social.support, main = 'QQ plot of df1$Social.support', xlab = 'Theoretical',
ylab = 'Quantiles for df1$Social.support')
qqline(df1$Social.support, lwd = 2, lty = 2)
qqnorm(df1$Positive.affect, main = 'QQ plot of df1$Positive.affect', xlab = 'Theoretical',
ylab = 'Quantiles for df1$Positive.affect')
qqline(df1$Positive.affect, lwd = 2, lty = 2)
qqplot(df1$Life.Ladder, df1$Log.GDP.per.capita)
qqplot(df1$Social.support, df1$Healthy.life.expectancy.at.birth)
qqplot(df1$Freedom.to.make.life.choices, df1$Generosity)
qqplot(df1$Perceptions.of.corruption, df1$Positive.affect)
qqplot(df1$Negative.affect, df1$Positive.affect)
qqp = qqplot(df1$Life.Ladder, df1$Log.GDP.per.capita)
abline(lm(qqp$y ~ qqp$x))
qqp = qqplot(df1$Positive.affect, df1$Negative.affect)
abline(lm(qqp$y ~ qqp$x))
qqp = qqplot(df1$Social.support, df1$Healthy.life.expectancy.at.birth)
abline(lm(qqp$y ~ qqp$x))
t.test(df1$Positive.affect, df1$Negative.affect)##
## Welch Two Sample t-test
##
## data: df1$Positive.affect and df1$Negative.affect
## t = 122.25, df = 3424.1, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.4286620 0.4426361
## sample estimates:
## mean of x mean of y
## 0.7019887 0.2663397t.test(df1$Life.Ladder, df1$Log.GDP.per.capita)##
## Welch Two Sample t-test
##
## data: df1$Life.Ladder and df1$Log.GDP.per.capita
## t = -80.862, df = 3360.4, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -3.819112 -3.638293
## sample estimates:
## mean of x mean of y
## 5.466705 9.195408t.test(df1$Generosity, df1$Freedom.to.make.life.choices)##
## Welch Two Sample t-test
##
## data: df1$Generosity and df1$Freedom.to.make.life.choices
## t = -138.89, df = 3878.1, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.7405757 -0.7199590
## sample estimates:
## mean of x mean of y
## 9.851206e-05 7.303658e-01t.test(df1$Log.GDP.per.capita, df1$Life.Ladder, var.equal = TRUE)##
## Two Sample t-test
##
## data: df1$Log.GDP.per.capita and df1$Life.Ladder
## t = 80.862, df = 3896, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 3.638297 3.819108
## sample estimates:
## mean of x mean of y
## 9.195408 5.466705t.test(df1$Generosity, df1$Perceptions.of.corruption, var.equal = TRUE)##
## Two Sample t-test
##
## data: df1$Generosity and df1$Perceptions.of.corruption
## t = -105.03, df = 3896, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.7180164 -0.6917024
## sample estimates:
## mean of x mean of y
## 9.851206e-05 7.049579e-01t.test(df1$Positive.affect, df1$Negative.affect, var.equal = TRUE)##
## Two Sample t-test
##
## data: df1$Positive.affect and df1$Negative.affect
## t = 122.25, df = 3896, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.4286623 0.4426358
## sample estimates:
## mean of x mean of y
## 0.7019887 0.2663397t.test(df1$Life.Ladder, mu = 5)##
## One Sample t-test
##
## data: df1$Life.Ladder
## t = 18.467, df = 1948, p-value < 2.2e-16
## alternative hypothesis: true mean is not equal to 5
## 95 percent confidence interval:
## 5.417142 5.516269
## sample estimates:
## mean of x
## 5.466705t.test(df1$Log.GDP.per.capita, mu = 5)##
## One Sample t-test
##
## data: df1$Log.GDP.per.capita
## t = 108.78, df = 1948, p-value < 2.2e-16
## alternative hypothesis: true mean is not equal to 5
## 95 percent confidence interval:
## 9.119766 9.271050
## sample estimates:
## mean of x
## 9.195408t.test(df1$Positive.affect, mu = 5)##
## One Sample t-test
##
## data: df1$Positive.affect
## t = -1456.6, df = 1948, p-value < 2.2e-16
## alternative hypothesis: true mean is not equal to 5
## 95 percent confidence interval:
## 0.6962018 0.7077757
## sample estimates:
## mean of x
## 0.7019887t.test(df1$Life.Ladder, mu = 5, alternative = 'greater')##
## One Sample t-test
##
## data: df1$Life.Ladder
## t = 18.467, df = 1948, p-value < 2.2e-16
## alternative hypothesis: true mean is greater than 5
## 95 percent confidence interval:
## 5.425116 Inf
## sample estimates:
## mean of x
## 5.466705t.test(df1$Positive.affect, mu = 5, alternative = 'greater')##
## One Sample t-test
##
## data: df1$Positive.affect
## t = -1456.6, df = 1948, p-value = 1
## alternative hypothesis: true mean is greater than 5
## 95 percent confidence interval:
## 0.6971329 Inf
## sample estimates:
## mean of x
## 0.7019887t.test(df1$Life.Ladder ~ df1$ï..Country.name, data = df, subset = df1$ï..Country.name %in% c('India' , 'Australia'))##
## Welch Two Sample t-test
##
## data: df1$Life.Ladder by df1$ï..Country.name
## t = 19.688, df = 14.766, p-value = 5.247e-12
## alternative hypothesis: true difference in means between group Australia and group India is not equal to 0
## 95 percent confidence interval:
## 2.504360 3.113383
## sample estimates:
## mean in group Australia mean in group India
## 7.282071 4.473200t.test(df1$Log.GDP.per.capita ~ df1$ï..Country.name, data = df, subset = df1$ï..Country.name %in% c('India' , 'Australia'))##
## Welch Two Sample t-test
##
## data: df1$Log.GDP.per.capita by df1$ï..Country.name
## t = 38.592, df = 15.186, p-value < 2.2e-16
## alternative hypothesis: true difference in means between group Australia and group India is not equal to 0
## 95 percent confidence interval:
## 2.141397 2.391479
## sample estimates:
## mean in group Australia mean in group India
## 10.755571 8.489133table(df1$ï..Country.name)##
## Afghanistan Albania Algeria
## 12 13 8
## Angola Argentina Armenia
## 4 15 14
## Australia Austria Azerbaijan
## 14 13 14
## Bahrain Bangladesh Belarus
## 11 15 14
## Belgium Belize Benin
## 14 2 12
## Bhutan Bolivia Bosnia and Herzegovina
## 3 15 13
## Botswana Brazil Bulgaria
## 12 15 12
## Burkina Faso Burundi Cambodia
## 13 5 15
## Cameroon Canada Central African Republic
## 15 15 5
## Chad Chile China
## 14 15 15
## Colombia Comoros Congo (Brazzaville)
## 15 6 10
## Congo (Kinshasa) Costa Rica Croatia
## 8 14 13
## Cuba Cyprus Czech Republic
## 1 13 12
## Denmark Djibouti Dominican Republic
## 15 4 15
## Ecuador Egypt El Salvador
## 15 15 15
## Estonia Ethiopia Finland
## 14 9 13
## France Gabon Gambia
## 15 9 3
## Georgia Germany Ghana
## 15 15 15
## Greece Guatemala Guinea
## 14 14 9
## Guyana Haiti Honduras
## 1 11 14
## Hong Kong S.A.R. of China Hungary Iceland
## 11 14 8
## India Indonesia Iran
## 15 14 13
## Iraq Ireland Israel
## 12 14 15
## Italy Ivory Coast Jamaica
## 15 9 6
## Japan Jordan Kazakhstan
## 15 15 15
## Kenya Kosovo Kuwait
## 15 14 11
## Kyrgyzstan Laos Latvia
## 15 9 14
## Lebanon Lesotho Liberia
## 14 4 9
## Libya Lithuania Luxembourg
## 6 15 11
## Madagascar Malawi Malaysia
## 11 12 12
## Maldives Mali Malta
## 1 13 12
## Mauritania Mauritius Mexico
## 13 7 15
## Moldova Mongolia Montenegro
## 15 13 13
## Morocco Mozambique Myanmar
## 10 8 9
## Namibia Nepal Netherlands
## 6 14 14
## New Zealand Nicaragua Niger
## 14 14 14
## Nigeria North Cyprus North Macedonia
## 13 7 13
## Norway Oman Pakistan
## 10 1 14
## Palestinian Territories Panama Paraguay
## 14 14 13
## Peru Philippines Poland
## 14 15 14
## Portugal Qatar Romania
## 13 5 13
## Russia Rwanda Saudi Arabia
## 15 12 15
## Senegal Serbia Sierra Leone
## 14 13 12
## Singapore Slovakia Slovenia
## 13 12 13
## Somalia Somaliland region South Africa
## 3 4 15
## South Korea South Sudan Spain
## 15 4 15
## Sri Lanka Sudan Suriname
## 13 5 1
## Swaziland Sweden Switzerland
## 3 15 10
## Syria Taiwan Province of China Tajikistan
## 7 13 15
## Tanzania Thailand Togo
## 15 15 9
## Trinidad and Tobago Tunisia Turkey
## 5 12 15
## Turkmenistan Uganda Ukraine
## 10 15 15
## United Arab Emirates United Kingdom United States
## 13 15 15
## Uruguay Uzbekistan Venezuela
## 15 13 15
## Vietnam Yemen Zambia
## 14 12 14
## Zimbabwe
## 15t.test(df1$Positive.affect ~ df1$ï..Country.name, data = df, subset = df1$ï..Country.name %in% c('India' , 'United States'))##
## Welch Two Sample t-test
##
## data: df1$Positive.affect by df1$ï..Country.name
## t = -12.568, df = 21.964, p-value = 1.665e-11
## alternative hypothesis: true difference in means between group India and group United States is not equal to 0
## 95 percent confidence interval:
## -0.1641914 -0.1176753
## sample estimates:
## mean in group India mean in group United States
## 0.6866667 0.8276000wilcox.test(df1$Life.Ladder, df1$Log.GDP.per.capita)##
## Wilcoxon rank sum test with continuity correction
##
## data: df1$Life.Ladder and df1$Log.GDP.per.capita
## W = 94034, p-value < 2.2e-16
## alternative hypothesis: true location shift is not equal to 0wilcox.test(df1$Healthy.life.expectancy.at.birth, df1$Freedom.to.make.life.choices)##
## Wilcoxon rank sum test with continuity correction
##
## data: df1$Healthy.life.expectancy.at.birth and df1$Freedom.to.make.life.choices
## W = 3692286, p-value < 2.2e-16
## alternative hypothesis: true location shift is not equal to 0wilcox.test(df1$Positive.affect, df1$Negative.affect)##
## Wilcoxon rank sum test with continuity correction
##
## data: df1$Positive.affect and df1$Negative.affect
## W = 3748725, p-value < 2.2e-16
## alternative hypothesis: true location shift is not equal to 0cor(df1$Life.Ladder, df1$Log.GDP.per.capita)## [1] 0.5621881cor(df1$Positive.affect, df1$Negative.affect)## [1] -0.1859311cor(df1$Social.support, df1$Healthy.life.expectancy.at.birth)## [1] 0.2860258x = cov(df1$Life.Ladder, df1$Log.GDP.per.capita)
x## [1] 1.068026y = cov(df1$Social.support, df1$Healthy.life.expectancy.at.birth)
y## [1] 0.4972368z = cov(df1$Positive.affect, df1$Negative.affect)
z## [1] -0.002136591v = as.matrix(x)
cov2cor(v)## [,1]
## [1,] 1w = as.matrix(y)
cov2cor(w)## [,1]
## [1,] 1u = as.matrix(z)
cov2cor(u)## Warning in sqrt(1/diag(V)): NaNs produced## Warning in cov2cor(u): diag(.) had 0 or NA entries; non-finite result is
## doubtful## [,1]
## [1,] 1cor.test(df1$Life.Ladder, df1$Log.GDP.per.capita)##
## Pearson's product-moment correlation
##
## data: df1$Life.Ladder and df1$Log.GDP.per.capita
## t = 29.995, df = 1947, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.5310430 0.5918163
## sample estimates:
## cor
## 0.5621881cor.test(df1$Positive.affect, df1$Negative.affect)##
## Pearson's product-moment correlation
##
## data: df1$Positive.affect and df1$Negative.affect
## t = -8.3498, df = 1947, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.2284460 -0.1427084
## sample estimates:
## cor
## -0.1859311cor.test(df1$Perceptions.of.corruption, df1$Generosity)##
## Pearson's product-moment correlation
##
## data: df1$Perceptions.of.corruption and df1$Generosity
## t = -8.2674, df = 1947, p-value = 2.502e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.2267069 -0.1409113
## sample estimates:
## cor
## -0.1841599chisq.test(df1$Life.Ladder)##
## Chi-squared test for given probabilities
##
## data: df1$Life.Ladder
## X-squared = 443.57, df = 1948, p-value = 1chisq.test(df1$Positive.affect)## Warning in chisq.test(df1$Positive.affect): Chi-squared approximation may be
## incorrect##
## Chi-squared test for given probabilities
##
## data: df1$Positive.affect
## X-squared = 47.091, df = 1948, p-value = 1chisq.test(df1$Log.GDP.per.capita)##
## Chi-squared test for given probabilities
##
## data: df1$Log.GDP.per.capita
## X-squared = 614.21, df = 1948, p-value = 1boxplot(df1$Life.Ladder)
boxplot(df1$Positive.affect)
boxplot(df1$Log.GDP.per.capita)
boxplot(df1$Negative.affect)
boxplot(df1$Life.Ladder, df1$Log.GDP.per.capita)
boxplot(df1$Positive.affect, df1$Negative.affect)
boxplot(df1$Life.Ladder ~ df1$year, data = df)
boxplot(df1$Positive.affect ~ df1$year, data = df)
boxplot(df1$Log.GDP.per.capita ~ df1$year, data = df)
boxplot(df1$Generosity ~ df$ï..Country.name, data = df)
boxplot(df1$Life.Ladder ~ df1$ï..Country.name, data = df)
boxplot(df1$Freedom.to.make.life.choices ~ df1$year)
boxplot(df1$Generosity ~ df1$year)
boxplot(df1$Life.Ladder, horizontal = T)
title(xlab = 'Life.Ladder values')
boxplot(df1$Log.GDP.per.capita, horizontal = T)
title(xlab = 'GDP values')
boxplot(df1$Positive.affect, horizontal = T)
title(xlab = 'Positive values')
boxplot(df1$Negative.affect, horizontal = T)
title(xlab = 'Negative values')
library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, uniontemp = df1 %>% filter(df1$ï..Country.name == "India")
plot(temp$Life.Ladder, temp$Log.GDP.per.capita, pch = 25)
temp1 = df1 %>% filter(df1$ï..Country.name == "India")
plot(temp1$Positive.affect, temp1$Negative.affect, pch = 25)
temp2 = df1 %>% filter(df1$ï..Country.name == "United States")
plot(temp2$Log.GDP.per.capita, temp2$Positive.affect, pch = 25)
temp3 = df1 %>% filter(df1$ï..Country.name == "United Kingdom")
plot(temp3$Life.Ladder, temp3$Positive.affect, pch = 25)
with(df1, plot(df1$Life.Ladder[df1$ï..Country.name == 'India'], pch = 0))
with(df1, plot(df1$Life.Ladder[df1$ï..Country.name == 'India'], pch = 3))
with(df1, plot(df1$Positive.affect[df1$ï..Country.name == 'India'], pch = 1))
with(df1, plot(df1$Log.GDP.per.capita[df1$ï..Country.name == 'United States'], pch = 2))
with(df1, plot(df1$Life.Ladder[df1$ï..Country.name == 'Australia'], pch = 4))
with(df1, (df1$Positive.affect[df1$ï..Country.name == 'India']))## [1] 0.687 0.668 0.674 0.771 0.697 0.648 0.629 0.680 0.711 0.701 0.695 0.682
## [13] 0.657 0.648 0.752with(df1, (df1$Log.GDP.per.capita[df1$ï..Country.name == 'Australia']))## [1] 10.659 10.703 10.719 10.722 10.733 10.754 10.762 10.772 10.779 10.791
## [11] 10.798 10.811 10.815 10.760with(df1, (df1$Life.Ladder[df1$ï..Country.name == 'United States']))## [1] 7.182 7.513 7.280 7.158 7.164 7.115 7.026 7.249 7.151 6.864 6.804 6.992
## [13] 6.883 6.944 7.028pairs(~ Positive.affect + Negative.affect, data = temp)
pairs(~ Log.GDP.per.capita + Negative.affect, data = temp1)
pairs(~ Positive.affect + Negative.affect, data = temp2)
pairs(~ Positive.affect + Negative.affect, data = temp3)
plot(temp$Life.Ladder, type = 'l' )
plot(temp1$Log.GDP.per.capita, type = 'l' )
plot(temp2$Positive.affect, type = 'l' )
plot(temp3$Freedom.to.make.life.choices, type = 'l' )
plot(temp$Social.support, type = 'b')
plot(temp$Healthy.life.expectancy.at.birth, type = 'b')
plot(temp2$Generosity, type = 'b')
pie(temp$Life.Ladder)
pie(temp3$Generosity)
temp4 = df1 %>% filter(df1$ï..Country.name == "Australia")
pie(temp4$Generosity)
pie(temp2$Perceptions.of.corruption)
pie(temp4$Negative.affect)
dotchart(temp$Life.Ladder)
dotchart(temp1$Log.GDP.per.capita)
dotchart(temp2$Social.support)
dotchart(temp3$Negative.affect)
dotchart(temp4$Positive.affect)
barplot(temp$Life.Ladder)
title(xlab = 'India', ylab = 'Life.Ladder value')
box()
barplot(temp1$Log.GDP.per.capita)
title(xlab = 'India', ylab = 'GDP value')
box()
barplot(temp2$Positive.affect)
title(xlab = 'United States', ylab = 'Positive value')
box()
barplot(temp3$Negative.affect)
title(xlab = 'United Kingdom', ylab = 'Negative value')
box()
barplot(temp4$Life.Ladder)
title(xlab = 'Australia', ylab = 'Life.Ladder value')
box()
table(df1$year)##
## 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
## 27 89 102 110 114 124 146 142 137 145 143 142 147 142 144 95barplot(temp$Life.Ladder, horiz = T)
title(xlab = 'Life.Ladder value', ylab = 'India')
box()
barplot(temp1$Log.GDP.per.capita, horiz = T)
title(xlab = 'GDP value', ylab = 'India')
box()
barplot(temp2$Social.support, horiz = T)
title(xlab = 'Social.support value', ylab = 'United States')
box()
barplot(temp3$Generosity, horiz = T)
title(xlab = 'Generosity value', ylab = 'United Kingdom')
box()
barplot(temp4$Positive.affect, horiz = T)
title(xlab = 'Positive value', ylab = 'Australia')
box()
temp.aov = na.omit(aov(temp$Life.Ladder ~ temp$Log.GDP.per.capita, data = temp))
temp.aov## Call:
## aov(formula = temp$Life.Ladder ~ temp$Log.GDP.per.capita, data = temp)
##
## Terms:
## temp$Log.GDP.per.capita Residuals
## Sum of Squares 3.564470 0.595966
## Deg. of Freedom 1 13
##
## Residual standard error: 0.2141111
## Estimated effects may be unbalancedtemp1.aov = na.omit(aov(temp1$Social.support ~ temp1$Healthy.life.expectancy.at.birth, data = temp1))
temp1.aov## Call:
## aov(formula = temp1$Social.support ~ temp1$Healthy.life.expectancy.at.birth,
## data = temp1)
##
## Terms:
## temp1$Healthy.life.expectancy.at.birth Residuals
## Sum of Squares 0.00276951 0.03520222
## Deg. of Freedom 1 13
##
## Residual standard error: 0.05203713
## Estimated effects may be unbalancedtemp2.aov = na.omit(aov(temp2$Freedom.to.make.life.choices ~ temp2$Generosity, data = temp2))
temp2.aov## Call:
## aov(formula = temp2$Freedom.to.make.life.choices ~ temp2$Generosity,
## data = temp2)
##
## Terms:
## temp2$Generosity Residuals
## Sum of Squares 0.001470502 0.017824832
## Deg. of Freedom 1 13
##
## Residual standard error: 0.03702892
## Estimated effects may be unbalancedtemp3.aov = na.omit(aov(temp3$Positive.affect ~ temp3$Negative.affect, data = temp3))
temp3.aov## Call:
## aov(formula = temp3$Positive.affect ~ temp3$Negative.affect,
## data = temp3)
##
## Terms:
## temp3$Negative.affect Residuals
## Sum of Squares 0.003118717 0.016732883
## Deg. of Freedom 1 13
##
## Residual standard error: 0.0358768
## Estimated effects may be unbalancedtemp4.aov = na.omit(aov(temp4$Life.Ladder ~ temp4$Negative.affect, data = temp4))
temp4.aov## Call:
## aov(formula = temp4$Life.Ladder ~ temp4$Negative.affect, data = temp4)
##
## Terms:
## temp4$Negative.affect Residuals
## Sum of Squares 0.00012178 0.09865314
## Deg. of Freedom 1 12
##
## Residual standard error: 0.09067026
## Estimated effects may be unbalancedsummary(temp.aov)## Df Sum Sq Mean Sq F value Pr(>F)
## temp$Log.GDP.per.capita 1 3.564 3.564 77.75 7.59e-07 ***
## Residuals 13 0.596 0.046
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1summary(temp1.aov)## Df Sum Sq Mean Sq F value Pr(>F)
## temp1$Healthy.life.expectancy.at.birth 1 0.00277 0.002769 1.023 0.33
## Residuals 13 0.03520 0.002708summary(temp2.aov)## Df Sum Sq Mean Sq F value Pr(>F)
## temp2$Generosity 1 0.001471 0.001471 1.072 0.319
## Residuals 13 0.017825 0.001371summary(temp3.aov)## Df Sum Sq Mean Sq F value Pr(>F)
## temp3$Negative.affect 1 0.003119 0.003119 2.423 0.144
## Residuals 13 0.016733 0.001287summary(temp4.aov)## Df Sum Sq Mean Sq F value Pr(>F)
## temp4$Negative.affect 1 0.00012 0.000122 0.015 0.905
## Residuals 12 0.09865 0.008221toway = aov(Life.Ladder ~ Negative.affect * Positive.affect, data = temp)
toway## Call:
## aov(formula = Life.Ladder ~ Negative.affect * Positive.affect,
## data = temp)
##
## Terms:
## Negative.affect Positive.affect Negative.affect:Positive.affect
## Sum of Squares 3.440477 0.039436 0.015981
## Deg. of Freedom 1 1 1
## Residuals
## Sum of Squares 0.664543
## Deg. of Freedom 11
##
## Residual standard error: 0.2457906
## Estimated effects may be unbalancedtoway = aov(Life.Ladder ~ Social.support * Positive.affect, data = temp2)
toway## Call:
## aov(formula = Life.Ladder ~ Social.support * Positive.affect,
## data = temp2)
##
## Terms:
## Social.support Positive.affect Social.support:Positive.affect
## Sum of Squares 0.16737454 0.11514375 0.03274025
## Deg. of Freedom 1 1 1
## Residuals
## Sum of Squares 0.16254185
## Deg. of Freedom 11
##
## Residual standard error: 0.1215588
## Estimated effects may be unbalancedtoway = aov(Life.Ladder ~ Log.GDP.per.capita * Positive.affect, data = temp4)
toway## Call:
## aov(formula = Life.Ladder ~ Log.GDP.per.capita * Positive.affect,
## data = temp4)
##
## Terms:
## Log.GDP.per.capita Positive.affect
## Sum of Squares 0.02132895 0.02838098
## Deg. of Freedom 1 1
## Log.GDP.per.capita:Positive.affect Residuals
## Sum of Squares 0.00005588 0.04900911
## Deg. of Freedom 1 10
##
## Residual standard error: 0.07000651
## Estimated effects may be unbalancedinteraction.plot(temp$Life.Ladder, temp$Positive.affect, temp$year)
interaction.plot(temp2$Log.GDP.per.capita, temp2$Positive.affect, temp2$Negative.affect)
interaction.plot(temp4$ï..Country.name, temp4$Life.Ladder, temp4$Generosity)
factor(df1$Life.Ladder_setting)## factor(0)
## Levels:factor(df1$year_setting)## factor(0)
## Levels:factor(df1$ï..Country.name)## [1] Afghanistan Afghanistan
## [3] Afghanistan Afghanistan
## [5] Afghanistan Afghanistan
## [7] Afghanistan Afghanistan
## [9] Afghanistan Afghanistan
## [11] Afghanistan Afghanistan
## [13] Albania Albania
## [15] Albania Albania
## [17] Albania Albania
## [19] Albania Albania
## [21] Albania Albania
## [23] Albania Albania
## [25] Albania Algeria
## [27] Algeria Algeria
## [29] Algeria Algeria
## [31] Algeria Algeria
## [33] Algeria Angola
## [35] Angola Angola
## [37] Angola Argentina
## [39] Argentina Argentina
## [41] Argentina Argentina
## [43] Argentina Argentina
## [45] Argentina Argentina
## [47] Argentina Argentina
## [49] Argentina Argentina
## [51] Argentina Argentina
## [53] Armenia Armenia
## [55] Armenia Armenia
## [57] Armenia Armenia
## [59] Armenia Armenia
## [61] Armenia Armenia
## [63] Armenia Armenia
## [65] Armenia Armenia
## [67] Australia Australia
## [69] Australia Australia
## [71] Australia Australia
## [73] Australia Australia
## [75] Australia Australia
## [77] Australia Australia
## [79] Australia Australia
## [81] Austria Austria
## [83] Austria Austria
## [85] Austria Austria
## [87] Austria Austria
## [89] Austria Austria
## [91] Austria Austria
## [93] Austria Azerbaijan
## [95] Azerbaijan Azerbaijan
## [97] Azerbaijan Azerbaijan
## [99] Azerbaijan Azerbaijan
## [101] Azerbaijan Azerbaijan
## [103] Azerbaijan Azerbaijan
## [105] Azerbaijan Azerbaijan
## [107] Azerbaijan Bahrain
## [109] Bahrain Bahrain
## [111] Bahrain Bahrain
## [113] Bahrain Bahrain
## [115] Bahrain Bahrain
## [117] Bahrain Bahrain
## [119] Bangladesh Bangladesh
## [121] Bangladesh Bangladesh
## [123] Bangladesh Bangladesh
## [125] Bangladesh Bangladesh
## [127] Bangladesh Bangladesh
## [129] Bangladesh Bangladesh
## [131] Bangladesh Bangladesh
## [133] Bangladesh Belarus
## [135] Belarus Belarus
## [137] Belarus Belarus
## [139] Belarus Belarus
## [141] Belarus Belarus
## [143] Belarus Belarus
## [145] Belarus Belarus
## [147] Belarus Belgium
## [149] Belgium Belgium
## [151] Belgium Belgium
## [153] Belgium Belgium
## [155] Belgium Belgium
## [157] Belgium Belgium
## [159] Belgium Belgium
## [161] Belgium Belize
## [163] Belize Benin
## [165] Benin Benin
## [167] Benin Benin
## [169] Benin Benin
## [171] Benin Benin
## [173] Benin Benin
## [175] Benin Bhutan
## [177] Bhutan Bhutan
## [179] Bolivia Bolivia
## [181] Bolivia Bolivia
## [183] Bolivia Bolivia
## [185] Bolivia Bolivia
## [187] Bolivia Bolivia
## [189] Bolivia Bolivia
## [191] Bolivia Bolivia
## [193] Bolivia Bosnia and Herzegovina
## [195] Bosnia and Herzegovina Bosnia and Herzegovina
## [197] Bosnia and Herzegovina Bosnia and Herzegovina
## [199] Bosnia and Herzegovina Bosnia and Herzegovina
## [201] Bosnia and Herzegovina Bosnia and Herzegovina
## [203] Bosnia and Herzegovina Bosnia and Herzegovina
## [205] Bosnia and Herzegovina Bosnia and Herzegovina
## [207] Botswana Botswana
## [209] Botswana Botswana
## [211] Botswana Botswana
## [213] Botswana Botswana
## [215] Botswana Botswana
## [217] Botswana Botswana
## [219] Brazil Brazil
## [221] Brazil Brazil
## [223] Brazil Brazil
## [225] Brazil Brazil
## [227] Brazil Brazil
## [229] Brazil Brazil
## [231] Brazil Brazil
## [233] Brazil Bulgaria
## [235] Bulgaria Bulgaria
## [237] Bulgaria Bulgaria
## [239] Bulgaria Bulgaria
## [241] Bulgaria Bulgaria
## [243] Bulgaria Bulgaria
## [245] Bulgaria Burkina Faso
## [247] Burkina Faso Burkina Faso
## [249] Burkina Faso Burkina Faso
## [251] Burkina Faso Burkina Faso
## [253] Burkina Faso Burkina Faso
## [255] Burkina Faso Burkina Faso
## [257] Burkina Faso Burkina Faso
## [259] Burundi Burundi
## [261] Burundi Burundi
## [263] Burundi Cambodia
## [265] Cambodia Cambodia
## [267] Cambodia Cambodia
## [269] Cambodia Cambodia
## [271] Cambodia Cambodia
## [273] Cambodia Cambodia
## [275] Cambodia Cambodia
## [277] Cambodia Cambodia
## [279] Cameroon Cameroon
## [281] Cameroon Cameroon
## [283] Cameroon Cameroon
## [285] Cameroon Cameroon
## [287] Cameroon Cameroon
## [289] Cameroon Cameroon
## [291] Cameroon Cameroon
## [293] Cameroon Canada
## [295] Canada Canada
## [297] Canada Canada
## [299] Canada Canada
## [301] Canada Canada
## [303] Canada Canada
## [305] Canada Canada
## [307] Canada Canada
## [309] Central African Republic Central African Republic
## [311] Central African Republic Central African Republic
## [313] Central African Republic Chad
## [315] Chad Chad
## [317] Chad Chad
## [319] Chad Chad
## [321] Chad Chad
## [323] Chad Chad
## [325] Chad Chad
## [327] Chad Chile
## [329] Chile Chile
## [331] Chile Chile
## [333] Chile Chile
## [335] Chile Chile
## [337] Chile Chile
## [339] Chile Chile
## [341] Chile Chile
## [343] China China
## [345] China China
## [347] China China
## [349] China China
## [351] China China
## [353] China China
## [355] China China
## [357] China Colombia
## [359] Colombia Colombia
## [361] Colombia Colombia
## [363] Colombia Colombia
## [365] Colombia Colombia
## [367] Colombia Colombia
## [369] Colombia Colombia
## [371] Colombia Colombia
## [373] Comoros Comoros
## [375] Comoros Comoros
## [377] Comoros Comoros
## [379] Congo (Brazzaville) Congo (Brazzaville)
## [381] Congo (Brazzaville) Congo (Brazzaville)
## [383] Congo (Brazzaville) Congo (Brazzaville)
## [385] Congo (Brazzaville) Congo (Brazzaville)
## [387] Congo (Brazzaville) Congo (Brazzaville)
## [389] Congo (Kinshasa) Congo (Kinshasa)
## [391] Congo (Kinshasa) Congo (Kinshasa)
## [393] Congo (Kinshasa) Congo (Kinshasa)
## [395] Congo (Kinshasa) Congo (Kinshasa)
## [397] Costa Rica Costa Rica
## [399] Costa Rica Costa Rica
## [401] Costa Rica Costa Rica
## [403] Costa Rica Costa Rica
## [405] Costa Rica Costa Rica
## [407] Costa Rica Costa Rica
## [409] Costa Rica Costa Rica
## [411] Croatia Croatia
## [413] Croatia Croatia
## [415] Croatia Croatia
## [417] Croatia Croatia
## [419] Croatia Croatia
## [421] Croatia Croatia
## [423] Croatia Cuba
## [425] Cyprus Cyprus
## [427] Cyprus Cyprus
## [429] Cyprus Cyprus
## [431] Cyprus Cyprus
## [433] Cyprus Cyprus
## [435] Cyprus Cyprus
## [437] Cyprus Czech Republic
## [439] Czech Republic Czech Republic
## [441] Czech Republic Czech Republic
## [443] Czech Republic Czech Republic
## [445] Czech Republic Czech Republic
## [447] Czech Republic Czech Republic
## [449] Czech Republic Denmark
## [451] Denmark Denmark
## [453] Denmark Denmark
## [455] Denmark Denmark
## [457] Denmark Denmark
## [459] Denmark Denmark
## [461] Denmark Denmark
## [463] Denmark Denmark
## [465] Djibouti Djibouti
## [467] Djibouti Djibouti
## [469] Dominican Republic Dominican Republic
## [471] Dominican Republic Dominican Republic
## [473] Dominican Republic Dominican Republic
## [475] Dominican Republic Dominican Republic
## [477] Dominican Republic Dominican Republic
## [479] Dominican Republic Dominican Republic
## [481] Dominican Republic Dominican Republic
## [483] Dominican Republic Ecuador
## [485] Ecuador Ecuador
## [487] Ecuador Ecuador
## [489] Ecuador Ecuador
## [491] Ecuador Ecuador
## [493] Ecuador Ecuador
## [495] Ecuador Ecuador
## [497] Ecuador Ecuador
## [499] Egypt Egypt
## [501] Egypt Egypt
## [503] Egypt Egypt
## [505] Egypt Egypt
## [507] Egypt Egypt
## [509] Egypt Egypt
## [511] Egypt Egypt
## [513] Egypt El Salvador
## [515] El Salvador El Salvador
## [517] El Salvador El Salvador
## [519] El Salvador El Salvador
## [521] El Salvador El Salvador
## [523] El Salvador El Salvador
## [525] El Salvador El Salvador
## [527] El Salvador El Salvador
## [529] Estonia Estonia
## [531] Estonia Estonia
## [533] Estonia Estonia
## [535] Estonia Estonia
## [537] Estonia Estonia
## [539] Estonia Estonia
## [541] Estonia Estonia
## [543] Ethiopia Ethiopia
## [545] Ethiopia Ethiopia
## [547] Ethiopia Ethiopia
## [549] Ethiopia Ethiopia
## [551] Ethiopia Finland
## [553] Finland Finland
## [555] Finland Finland
## [557] Finland Finland
## [559] Finland Finland
## [561] Finland Finland
## [563] Finland Finland
## [565] France France
## [567] France France
## [569] France France
## [571] France France
## [573] France France
## [575] France France
## [577] France France
## [579] France Gabon
## [581] Gabon Gabon
## [583] Gabon Gabon
## [585] Gabon Gabon
## [587] Gabon Gabon
## [589] Gambia Gambia
## [591] Gambia Georgia
## [593] Georgia Georgia
## [595] Georgia Georgia
## [597] Georgia Georgia
## [599] Georgia Georgia
## [601] Georgia Georgia
## [603] Georgia Georgia
## [605] Georgia Georgia
## [607] Germany Germany
## [609] Germany Germany
## [611] Germany Germany
## [613] Germany Germany
## [615] Germany Germany
## [617] Germany Germany
## [619] Germany Germany
## [621] Germany Ghana
## [623] Ghana Ghana
## [625] Ghana Ghana
## [627] Ghana Ghana
## [629] Ghana Ghana
## [631] Ghana Ghana
## [633] Ghana Ghana
## [635] Ghana Ghana
## [637] Greece Greece
## [639] Greece Greece
## [641] Greece Greece
## [643] Greece Greece
## [645] Greece Greece
## [647] Greece Greece
## [649] Greece Greece
## [651] Guatemala Guatemala
## [653] Guatemala Guatemala
## [655] Guatemala Guatemala
## [657] Guatemala Guatemala
## [659] Guatemala Guatemala
## [661] Guatemala Guatemala
## [663] Guatemala Guatemala
## [665] Guinea Guinea
## [667] Guinea Guinea
## [669] Guinea Guinea
## [671] Guinea Guinea
## [673] Guinea Guyana
## [675] Haiti Haiti
## [677] Haiti Haiti
## [679] Haiti Haiti
## [681] Haiti Haiti
## [683] Haiti Haiti
## [685] Haiti Honduras
## [687] Honduras Honduras
## [689] Honduras Honduras
## [691] Honduras Honduras
## [693] Honduras Honduras
## [695] Honduras Honduras
## [697] Honduras Honduras
## [699] Honduras Hong Kong S.A.R. of China
## [701] Hong Kong S.A.R. of China Hong Kong S.A.R. of China
## [703] Hong Kong S.A.R. of China Hong Kong S.A.R. of China
## [705] Hong Kong S.A.R. of China Hong Kong S.A.R. of China
## [707] Hong Kong S.A.R. of China Hong Kong S.A.R. of China
## [709] Hong Kong S.A.R. of China Hong Kong S.A.R. of China
## [711] Hungary Hungary
## [713] Hungary Hungary
## [715] Hungary Hungary
## [717] Hungary Hungary
## [719] Hungary Hungary
## [721] Hungary Hungary
## [723] Hungary Hungary
## [725] Iceland Iceland
## [727] Iceland Iceland
## [729] Iceland Iceland
## [731] Iceland Iceland
## [733] India India
## [735] India India
## [737] India India
## [739] India India
## [741] India India
## [743] India India
## [745] India India
## [747] India Indonesia
## [749] Indonesia Indonesia
## [751] Indonesia Indonesia
## [753] Indonesia Indonesia
## [755] Indonesia Indonesia
## [757] Indonesia Indonesia
## [759] Indonesia Indonesia
## [761] Indonesia Iran
## [763] Iran Iran
## [765] Iran Iran
## [767] Iran Iran
## [769] Iran Iran
## [771] Iran Iran
## [773] Iran Iran
## [775] Iraq Iraq
## [777] Iraq Iraq
## [779] Iraq Iraq
## [781] Iraq Iraq
## [783] Iraq Iraq
## [785] Iraq Iraq
## [787] Ireland Ireland
## [789] Ireland Ireland
## [791] Ireland Ireland
## [793] Ireland Ireland
## [795] Ireland Ireland
## [797] Ireland Ireland
## [799] Ireland Ireland
## [801] Israel Israel
## [803] Israel Israel
## [805] Israel Israel
## [807] Israel Israel
## [809] Israel Israel
## [811] Israel Israel
## [813] Israel Israel
## [815] Israel Italy
## [817] Italy Italy
## [819] Italy Italy
## [821] Italy Italy
## [823] Italy Italy
## [825] Italy Italy
## [827] Italy Italy
## [829] Italy Italy
## [831] Ivory Coast Ivory Coast
## [833] Ivory Coast Ivory Coast
## [835] Ivory Coast Ivory Coast
## [837] Ivory Coast Ivory Coast
## [839] Ivory Coast Jamaica
## [841] Jamaica Jamaica
## [843] Jamaica Jamaica
## [845] Jamaica Japan
## [847] Japan Japan
## [849] Japan Japan
## [851] Japan Japan
## [853] Japan Japan
## [855] Japan Japan
## [857] Japan Japan
## [859] Japan Japan
## [861] Jordan Jordan
## [863] Jordan Jordan
## [865] Jordan Jordan
## [867] Jordan Jordan
## [869] Jordan Jordan
## [871] Jordan Jordan
## [873] Jordan Jordan
## [875] Jordan Kazakhstan
## [877] Kazakhstan Kazakhstan
## [879] Kazakhstan Kazakhstan
## [881] Kazakhstan Kazakhstan
## [883] Kazakhstan Kazakhstan
## [885] Kazakhstan Kazakhstan
## [887] Kazakhstan Kazakhstan
## [889] Kazakhstan Kazakhstan
## [891] Kenya Kenya
## [893] Kenya Kenya
## [895] Kenya Kenya
## [897] Kenya Kenya
## [899] Kenya Kenya
## [901] Kenya Kenya
## [903] Kenya Kenya
## [905] Kenya Kosovo
## [907] Kosovo Kosovo
## [909] Kosovo Kosovo
## [911] Kosovo Kosovo
## [913] Kosovo Kosovo
## [915] Kosovo Kosovo
## [917] Kosovo Kosovo
## [919] Kosovo Kuwait
## [921] Kuwait Kuwait
## [923] Kuwait Kuwait
## [925] Kuwait Kuwait
## [927] Kuwait Kuwait
## [929] Kuwait Kuwait
## [931] Kyrgyzstan Kyrgyzstan
## [933] Kyrgyzstan Kyrgyzstan
## [935] Kyrgyzstan Kyrgyzstan
## [937] Kyrgyzstan Kyrgyzstan
## [939] Kyrgyzstan Kyrgyzstan
## [941] Kyrgyzstan Kyrgyzstan
## [943] Kyrgyzstan Kyrgyzstan
## [945] Kyrgyzstan Laos
## [947] Laos Laos
## [949] Laos Laos
## [951] Laos Laos
## [953] Laos Laos
## [955] Latvia Latvia
## [957] Latvia Latvia
## [959] Latvia Latvia
## [961] Latvia Latvia
## [963] Latvia Latvia
## [965] Latvia Latvia
## [967] Latvia Latvia
## [969] Lebanon Lebanon
## [971] Lebanon Lebanon
## [973] Lebanon Lebanon
## [975] Lebanon Lebanon
## [977] Lebanon Lebanon
## [979] Lebanon Lebanon
## [981] Lebanon Lebanon
## [983] Lesotho Lesotho
## [985] Lesotho Lesotho
## [987] Liberia Liberia
## [989] Liberia Liberia
## [991] Liberia Liberia
## [993] Liberia Liberia
## [995] Liberia Libya
## [997] Libya Libya
## [999] Libya Libya
## [1001] Libya Lithuania
## [1003] Lithuania Lithuania
## [1005] Lithuania Lithuania
## [1007] Lithuania Lithuania
## [1009] Lithuania Lithuania
## [1011] Lithuania Lithuania
## [1013] Lithuania Lithuania
## [1015] Lithuania Lithuania
## [1017] Luxembourg Luxembourg
## [1019] Luxembourg Luxembourg
## [1021] Luxembourg Luxembourg
## [1023] Luxembourg Luxembourg
## [1025] Luxembourg Luxembourg
## [1027] Luxembourg Madagascar
## [1029] Madagascar Madagascar
## [1031] Madagascar Madagascar
## [1033] Madagascar Madagascar
## [1035] Madagascar Madagascar
## [1037] Madagascar Madagascar
## [1039] Malawi Malawi
## [1041] Malawi Malawi
## [1043] Malawi Malawi
## [1045] Malawi Malawi
## [1047] Malawi Malawi
## [1049] Malawi Malawi
## [1051] Malaysia Malaysia
## [1053] Malaysia Malaysia
## [1055] Malaysia Malaysia
## [1057] Malaysia Malaysia
## [1059] Malaysia Malaysia
## [1061] Malaysia Malaysia
## [1063] Maldives Mali
## [1065] Mali Mali
## [1067] Mali Mali
## [1069] Mali Mali
## [1071] Mali Mali
## [1073] Mali Mali
## [1075] Mali Mali
## [1077] Malta Malta
## [1079] Malta Malta
## [1081] Malta Malta
## [1083] Malta Malta
## [1085] Malta Malta
## [1087] Malta Malta
## [1089] Mauritania Mauritania
## [1091] Mauritania Mauritania
## [1093] Mauritania Mauritania
## [1095] Mauritania Mauritania
## [1097] Mauritania Mauritania
## [1099] Mauritania Mauritania
## [1101] Mauritania Mauritius
## [1103] Mauritius Mauritius
## [1105] Mauritius Mauritius
## [1107] Mauritius Mauritius
## [1109] Mexico Mexico
## [1111] Mexico Mexico
## [1113] Mexico Mexico
## [1115] Mexico Mexico
## [1117] Mexico Mexico
## [1119] Mexico Mexico
## [1121] Mexico Mexico
## [1123] Mexico Moldova
## [1125] Moldova Moldova
## [1127] Moldova Moldova
## [1129] Moldova Moldova
## [1131] Moldova Moldova
## [1133] Moldova Moldova
## [1135] Moldova Moldova
## [1137] Moldova Moldova
## [1139] Mongolia Mongolia
## [1141] Mongolia Mongolia
## [1143] Mongolia Mongolia
## [1145] Mongolia Mongolia
## [1147] Mongolia Mongolia
## [1149] Mongolia Mongolia
## [1151] Mongolia Montenegro
## [1153] Montenegro Montenegro
## [1155] Montenegro Montenegro
## [1157] Montenegro Montenegro
## [1159] Montenegro Montenegro
## [1161] Montenegro Montenegro
## [1163] Montenegro Montenegro
## [1165] Morocco Morocco
## [1167] Morocco Morocco
## [1169] Morocco Morocco
## [1171] Morocco Morocco
## [1173] Morocco Morocco
## [1175] Mozambique Mozambique
## [1177] Mozambique Mozambique
## [1179] Mozambique Mozambique
## [1181] Mozambique Mozambique
## [1183] Myanmar Myanmar
## [1185] Myanmar Myanmar
## [1187] Myanmar Myanmar
## [1189] Myanmar Myanmar
## [1191] Myanmar Namibia
## [1193] Namibia Namibia
## [1195] Namibia Namibia
## [1197] Namibia Nepal
## [1199] Nepal Nepal
## [1201] Nepal Nepal
## [1203] Nepal Nepal
## [1205] Nepal Nepal
## [1207] Nepal Nepal
## [1209] Nepal Nepal
## [1211] Nepal Netherlands
## [1213] Netherlands Netherlands
## [1215] Netherlands Netherlands
## [1217] Netherlands Netherlands
## [1219] Netherlands Netherlands
## [1221] Netherlands Netherlands
## [1223] Netherlands Netherlands
## [1225] Netherlands New Zealand
## [1227] New Zealand New Zealand
## [1229] New Zealand New Zealand
## [1231] New Zealand New Zealand
## [1233] New Zealand New Zealand
## [1235] New Zealand New Zealand
## [1237] New Zealand New Zealand
## [1239] New Zealand Nicaragua
## [1241] Nicaragua Nicaragua
## [1243] Nicaragua Nicaragua
## [1245] Nicaragua Nicaragua
## [1247] Nicaragua Nicaragua
## [1249] Nicaragua Nicaragua
## [1251] Nicaragua Nicaragua
## [1253] Nicaragua Niger
## [1255] Niger Niger
## [1257] Niger Niger
## [1259] Niger Niger
## [1261] Niger Niger
## [1263] Niger Niger
## [1265] Niger Niger
## [1267] Niger Nigeria
## [1269] Nigeria Nigeria
## [1271] Nigeria Nigeria
## [1273] Nigeria Nigeria
## [1275] Nigeria Nigeria
## [1277] Nigeria Nigeria
## [1279] Nigeria Nigeria
## [1281] North Cyprus North Cyprus
## [1283] North Cyprus North Cyprus
## [1285] North Cyprus North Cyprus
## [1287] North Cyprus North Macedonia
## [1289] North Macedonia North Macedonia
## [1291] North Macedonia North Macedonia
## [1293] North Macedonia North Macedonia
## [1295] North Macedonia North Macedonia
## [1297] North Macedonia North Macedonia
## [1299] North Macedonia North Macedonia
## [1301] Norway Norway
## [1303] Norway Norway
## [1305] Norway Norway
## [1307] Norway Norway
## [1309] Norway Norway
## [1311] Oman Pakistan
## [1313] Pakistan Pakistan
## [1315] Pakistan Pakistan
## [1317] Pakistan Pakistan
## [1319] Pakistan Pakistan
## [1321] Pakistan Pakistan
## [1323] Pakistan Pakistan
## [1325] Pakistan Palestinian Territories
## [1327] Palestinian Territories Palestinian Territories
## [1329] Palestinian Territories Palestinian Territories
## [1331] Palestinian Territories Palestinian Territories
## [1333] Palestinian Territories Palestinian Territories
## [1335] Palestinian Territories Palestinian Territories
## [1337] Palestinian Territories Palestinian Territories
## [1339] Palestinian Territories Panama
## [1341] Panama Panama
## [1343] Panama Panama
## [1345] Panama Panama
## [1347] Panama Panama
## [1349] Panama Panama
## [1351] Panama Panama
## [1353] Panama Paraguay
## [1355] Paraguay Paraguay
## [1357] Paraguay Paraguay
## [1359] Paraguay Paraguay
## [1361] Paraguay Paraguay
## [1363] Paraguay Paraguay
## [1365] Paraguay Paraguay
## [1367] Peru Peru
## [1369] Peru Peru
## [1371] Peru Peru
## [1373] Peru Peru
## [1375] Peru Peru
## [1377] Peru Peru
## [1379] Peru Peru
## [1381] Philippines Philippines
## [1383] Philippines Philippines
## [1385] Philippines Philippines
## [1387] Philippines Philippines
## [1389] Philippines Philippines
## [1391] Philippines Philippines
## [1393] Philippines Philippines
## [1395] Philippines Poland
## [1397] Poland Poland
## [1399] Poland Poland
## [1401] Poland Poland
## [1403] Poland Poland
## [1405] Poland Poland
## [1407] Poland Poland
## [1409] Poland Portugal
## [1411] Portugal Portugal
## [1413] Portugal Portugal
## [1415] Portugal Portugal
## [1417] Portugal Portugal
## [1419] Portugal Portugal
## [1421] Portugal Portugal
## [1423] Qatar Qatar
## [1425] Qatar Qatar
## [1427] Qatar Romania
## [1429] Romania Romania
## [1431] Romania Romania
## [1433] Romania Romania
## [1435] Romania Romania
## [1437] Romania Romania
## [1439] Romania Romania
## [1441] Russia Russia
## [1443] Russia Russia
## [1445] Russia Russia
## [1447] Russia Russia
## [1449] Russia Russia
## [1451] Russia Russia
## [1453] Russia Russia
## [1455] Russia Rwanda
## [1457] Rwanda Rwanda
## [1459] Rwanda Rwanda
## [1461] Rwanda Rwanda
## [1463] Rwanda Rwanda
## [1465] Rwanda Rwanda
## [1467] Rwanda Saudi Arabia
## [1469] Saudi Arabia Saudi Arabia
## [1471] Saudi Arabia Saudi Arabia
## [1473] Saudi Arabia Saudi Arabia
## [1475] Saudi Arabia Saudi Arabia
## [1477] Saudi Arabia Saudi Arabia
## [1479] Saudi Arabia Saudi Arabia
## [1481] Saudi Arabia Saudi Arabia
## [1483] Senegal Senegal
## [1485] Senegal Senegal
## [1487] Senegal Senegal
## [1489] Senegal Senegal
## [1491] Senegal Senegal
## [1493] Senegal Senegal
## [1495] Senegal Senegal
## [1497] Serbia Serbia
## [1499] Serbia Serbia
## [1501] Serbia Serbia
## [1503] Serbia Serbia
## [1505] Serbia Serbia
## [1507] Serbia Serbia
## [1509] Serbia Sierra Leone
## [1511] Sierra Leone Sierra Leone
## [1513] Sierra Leone Sierra Leone
## [1515] Sierra Leone Sierra Leone
## [1517] Sierra Leone Sierra Leone
## [1519] Sierra Leone Sierra Leone
## [1521] Sierra Leone Singapore
## [1523] Singapore Singapore
## [1525] Singapore Singapore
## [1527] Singapore Singapore
## [1529] Singapore Singapore
## [1531] Singapore Singapore
## [1533] Singapore Singapore
## [1535] Slovakia Slovakia
## [1537] Slovakia Slovakia
## [1539] Slovakia Slovakia
## [1541] Slovakia Slovakia
## [1543] Slovakia Slovakia
## [1545] Slovakia Slovakia
## [1547] Slovenia Slovenia
## [1549] Slovenia Slovenia
## [1551] Slovenia Slovenia
## [1553] Slovenia Slovenia
## [1555] Slovenia Slovenia
## [1557] Slovenia Slovenia
## [1559] Slovenia Somalia
## [1561] Somalia Somalia
## [1563] Somaliland region Somaliland region
## [1565] Somaliland region Somaliland region
## [1567] South Africa South Africa
## [1569] South Africa South Africa
## [1571] South Africa South Africa
## [1573] South Africa South Africa
## [1575] South Africa South Africa
## [1577] South Africa South Africa
## [1579] South Africa South Africa
## [1581] South Africa South Korea
## [1583] South Korea South Korea
## [1585] South Korea South Korea
## [1587] South Korea South Korea
## [1589] South Korea South Korea
## [1591] South Korea South Korea
## [1593] South Korea South Korea
## [1595] South Korea South Korea
## [1597] South Sudan South Sudan
## [1599] South Sudan South Sudan
## [1601] Spain Spain
## [1603] Spain Spain
## [1605] Spain Spain
## [1607] Spain Spain
## [1609] Spain Spain
## [1611] Spain Spain
## [1613] Spain Spain
## [1615] Spain Sri Lanka
## [1617] Sri Lanka Sri Lanka
## [1619] Sri Lanka Sri Lanka
## [1621] Sri Lanka Sri Lanka
## [1623] Sri Lanka Sri Lanka
## [1625] Sri Lanka Sri Lanka
## [1627] Sri Lanka Sri Lanka
## [1629] Sudan Sudan
## [1631] Sudan Sudan
## [1633] Sudan Suriname
## [1635] Swaziland Swaziland
## [1637] Swaziland Sweden
## [1639] Sweden Sweden
## [1641] Sweden Sweden
## [1643] Sweden Sweden
## [1645] Sweden Sweden
## [1647] Sweden Sweden
## [1649] Sweden Sweden
## [1651] Sweden Sweden
## [1653] Switzerland Switzerland
## [1655] Switzerland Switzerland
## [1657] Switzerland Switzerland
## [1659] Switzerland Switzerland
## [1661] Switzerland Switzerland
## [1663] Syria Syria
## [1665] Syria Syria
## [1667] Syria Syria
## [1669] Syria Taiwan Province of China
## [1671] Taiwan Province of China Taiwan Province of China
## [1673] Taiwan Province of China Taiwan Province of China
## [1675] Taiwan Province of China Taiwan Province of China
## [1677] Taiwan Province of China Taiwan Province of China
## [1679] Taiwan Province of China Taiwan Province of China
## [1681] Taiwan Province of China Taiwan Province of China
## [1683] Tajikistan Tajikistan
## [1685] Tajikistan Tajikistan
## [1687] Tajikistan Tajikistan
## [1689] Tajikistan Tajikistan
## [1691] Tajikistan Tajikistan
## [1693] Tajikistan Tajikistan
## [1695] Tajikistan Tajikistan
## [1697] Tajikistan Tanzania
## [1699] Tanzania Tanzania
## [1701] Tanzania Tanzania
## [1703] Tanzania Tanzania
## [1705] Tanzania Tanzania
## [1707] Tanzania Tanzania
## [1709] Tanzania Tanzania
## [1711] Tanzania Tanzania
## [1713] Thailand Thailand
## [1715] Thailand Thailand
## [1717] Thailand Thailand
## [1719] Thailand Thailand
## [1721] Thailand Thailand
## [1723] Thailand Thailand
## [1725] Thailand Thailand
## [1727] Thailand Togo
## [1729] Togo Togo
## [1731] Togo Togo
## [1733] Togo Togo
## [1735] Togo Togo
## [1737] Trinidad and Tobago Trinidad and Tobago
## [1739] Trinidad and Tobago Trinidad and Tobago
## [1741] Trinidad and Tobago Tunisia
## [1743] Tunisia Tunisia
## [1745] Tunisia Tunisia
## [1747] Tunisia Tunisia
## [1749] Tunisia Tunisia
## [1751] Tunisia Tunisia
## [1753] Tunisia Turkey
## [1755] Turkey Turkey
## [1757] Turkey Turkey
## [1759] Turkey Turkey
## [1761] Turkey Turkey
## [1763] Turkey Turkey
## [1765] Turkey Turkey
## [1767] Turkey Turkey
## [1769] Turkmenistan Turkmenistan
## [1771] Turkmenistan Turkmenistan
## [1773] Turkmenistan Turkmenistan
## [1775] Turkmenistan Turkmenistan
## [1777] Turkmenistan Turkmenistan
## [1779] Uganda Uganda
## [1781] Uganda Uganda
## [1783] Uganda Uganda
## [1785] Uganda Uganda
## [1787] Uganda Uganda
## [1789] Uganda Uganda
## [1791] Uganda Uganda
## [1793] Uganda Ukraine
## [1795] Ukraine Ukraine
## [1797] Ukraine Ukraine
## [1799] Ukraine Ukraine
## [1801] Ukraine Ukraine
## [1803] Ukraine Ukraine
## [1805] Ukraine Ukraine
## [1807] Ukraine Ukraine
## [1809] United Arab Emirates United Arab Emirates
## [1811] United Arab Emirates United Arab Emirates
## [1813] United Arab Emirates United Arab Emirates
## [1815] United Arab Emirates United Arab Emirates
## [1817] United Arab Emirates United Arab Emirates
## [1819] United Arab Emirates United Arab Emirates
## [1821] United Arab Emirates United Kingdom
## [1823] United Kingdom United Kingdom
## [1825] United Kingdom United Kingdom
## [1827] United Kingdom United Kingdom
## [1829] United Kingdom United Kingdom
## [1831] United Kingdom United Kingdom
## [1833] United Kingdom United Kingdom
## [1835] United Kingdom United Kingdom
## [1837] United States United States
## [1839] United States United States
## [1841] United States United States
## [1843] United States United States
## [1845] United States United States
## [1847] United States United States
## [1849] United States United States
## [1851] United States Uruguay
## [1853] Uruguay Uruguay
## [1855] Uruguay Uruguay
## [1857] Uruguay Uruguay
## [1859] Uruguay Uruguay
## [1861] Uruguay Uruguay
## [1863] Uruguay Uruguay
## [1865] Uruguay Uruguay
## [1867] Uzbekistan Uzbekistan
## [1869] Uzbekistan Uzbekistan
## [1871] Uzbekistan Uzbekistan
## [1873] Uzbekistan Uzbekistan
## [1875] Uzbekistan Uzbekistan
## [1877] Uzbekistan Uzbekistan
## [1879] Uzbekistan Venezuela
## [1881] Venezuela Venezuela
## [1883] Venezuela Venezuela
## [1885] Venezuela Venezuela
## [1887] Venezuela Venezuela
## [1889] Venezuela Venezuela
## [1891] Venezuela Venezuela
## [1893] Venezuela Venezuela
## [1895] Vietnam Vietnam
## [1897] Vietnam Vietnam
## [1899] Vietnam Vietnam
## [1901] Vietnam Vietnam
## [1903] Vietnam Vietnam
## [1905] Vietnam Vietnam
## [1907] Vietnam Vietnam
## [1909] Yemen Yemen
## [1911] Yemen Yemen
## [1913] Yemen Yemen
## [1915] Yemen Yemen
## [1917] Yemen Yemen
## [1919] Yemen Yemen
## [1921] Zambia Zambia
## [1923] Zambia Zambia
## [1925] Zambia Zambia
## [1927] Zambia Zambia
## [1929] Zambia Zambia
## [1931] Zambia Zambia
## [1933] Zambia Zambia
## [1935] Zimbabwe Zimbabwe
## [1937] Zimbabwe Zimbabwe
## [1939] Zimbabwe Zimbabwe
## [1941] Zimbabwe Zimbabwe
## [1943] Zimbabwe Zimbabwe
## [1945] Zimbabwe Zimbabwe
## [1947] Zimbabwe Zimbabwe
## [1949] Zimbabwe
## 166 Levels: Afghanistan Albania Algeria Angola Argentina Armenia ... ZimbabwetestCol = c(rep(df1$Life.Ladder - df1$Log.GDP.per.capita, length(df1)))
head(testCol)## [1] -3.646 -3.138 -2.889 -3.788 -3.922 -4.153testCol1 = c(rep(df1$Positive.affect - df1$Negative.affect, length(df1)))
head(testCol1)## [1] 0.260 0.347 0.343 0.344 0.442 0.348testCol2 = c(rep(df1$Healthy.life.expectancy.at.birth - df1$Generosity, length(df1)))
head(testCol2)## [1] 50.632 51.010 51.479 51.758 52.004 52.499testRow = c('India', '2021', 3.456, 6.789, 0.912, 70.54, 0.897, 0.157, 0.823, 0.752, 0.245)
testRow## [1] "India" "2021" "3.456" "6.789" "0.912" "70.54" "0.897" "0.157" "0.823"
## [10] "0.752" "0.245"testRow1 = c('Japan', '2021', 4.567, 7.890, 0.923, 69.89, 0.756, 0.254, 0.234, 0.825, 0.321)
testRow1## [1] "Japan" "2021" "4.567" "7.89" "0.923" "69.89" "0.756" "0.254" "0.234"
## [10] "0.825" "0.321"testRow2 = c('Italy', '2021', 5.678, 8.901, 0.934, 67.56, 0.985, 0.123, 0.752, 0.644, 0.245)
testRow2## [1] "Italy" "2021" "5.678" "8.901" "0.934" "67.56" "0.985" "0.123" "0.752"
## [10] "0.644" "0.245"test = data.frame(df1, testCol)
head(test)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 2 Afghanistan 2009 4.402 7.540 0.552
## 3 Afghanistan 2010 4.758 7.647 0.539
## 4 Afghanistan 2011 3.832 7.620 0.521
## 5 Afghanistan 2012 3.783 7.705 0.521
## 6 Afghanistan 2013 3.572 7.725 0.484
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 2 51.20 0.679 0.190
## 3 51.60 0.600 0.121
## 4 51.92 0.496 0.162
## 5 52.24 0.531 0.236
## 6 52.56 0.578 0.061
## Perceptions.of.corruption Positive.affect Negative.affect testCol
## 1 0.882 0.518 0.258 -3.646
## 2 0.850 0.584 0.237 -3.138
## 3 0.707 0.618 0.275 -2.889
## 4 0.731 0.611 0.267 -3.788
## 5 0.776 0.710 0.268 -3.922
## 6 0.823 0.621 0.273 -4.153test1 = data.frame(df1, testCol1)
head(test)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 2 Afghanistan 2009 4.402 7.540 0.552
## 3 Afghanistan 2010 4.758 7.647 0.539
## 4 Afghanistan 2011 3.832 7.620 0.521
## 5 Afghanistan 2012 3.783 7.705 0.521
## 6 Afghanistan 2013 3.572 7.725 0.484
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 2 51.20 0.679 0.190
## 3 51.60 0.600 0.121
## 4 51.92 0.496 0.162
## 5 52.24 0.531 0.236
## 6 52.56 0.578 0.061
## Perceptions.of.corruption Positive.affect Negative.affect testCol
## 1 0.882 0.518 0.258 -3.646
## 2 0.850 0.584 0.237 -3.138
## 3 0.707 0.618 0.275 -2.889
## 4 0.731 0.611 0.267 -3.788
## 5 0.776 0.710 0.268 -3.922
## 6 0.823 0.621 0.273 -4.153test2 = data.frame(df1, testCol2)
head(test)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 2 Afghanistan 2009 4.402 7.540 0.552
## 3 Afghanistan 2010 4.758 7.647 0.539
## 4 Afghanistan 2011 3.832 7.620 0.521
## 5 Afghanistan 2012 3.783 7.705 0.521
## 6 Afghanistan 2013 3.572 7.725 0.484
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 2 51.20 0.679 0.190
## 3 51.60 0.600 0.121
## 4 51.92 0.496 0.162
## 5 52.24 0.531 0.236
## 6 52.56 0.578 0.061
## Perceptions.of.corruption Positive.affect Negative.affect testCol
## 1 0.882 0.518 0.258 -3.646
## 2 0.850 0.584 0.237 -3.138
## 3 0.707 0.618 0.275 -2.889
## 4 0.731 0.611 0.267 -3.788
## 5 0.776 0.710 0.268 -3.922
## 6 0.823 0.621 0.273 -4.153test = df1
test['testRow',] = testRow
tail(test)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1945 Zimbabwe 2016 3.735 7.984 0.768
## 1946 Zimbabwe 2017 3.638 8.016 0.754
## 1947 Zimbabwe 2018 3.616 8.049 0.775
## 1948 Zimbabwe 2019 2.694 7.95 0.759
## 1949 Zimbabwe 2020 3.16 7.829 0.717
## testRow India 2021 3.456 6.789 0.912
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices
## 1945 54.4 0.733
## 1946 55 0.753
## 1947 55.6 0.763
## 1948 56.2 0.632
## 1949 56.8 0.643
## testRow 70.54 0.897
## Generosity Perceptions.of.corruption Positive.affect Negative.affect
## 1945 -0.095 0.724 0.738 0.209
## 1946 -0.098 0.751 0.806 0.224
## 1947 -0.068 0.844 0.71 0.212
## 1948 -0.064 0.831 0.716 0.235
## 1949 -0.009 0.789 0.703 0.346
## testRow 0.157 0.823 0.752 0.245test1 = df
test1['testRow1',] = testRow1
tail(test1)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1945 Zimbabwe 2016 3.735 7.984 0.768
## 1946 Zimbabwe 2017 3.638 8.016 0.754
## 1947 Zimbabwe 2018 3.616 8.049 0.775
## 1948 Zimbabwe 2019 2.694 7.95 0.759
## 1949 Zimbabwe 2020 3.16 7.829 0.717
## testRow1 Japan 2021 4.567 7.89 0.923
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices
## 1945 54.4 0.733
## 1946 55 0.753
## 1947 55.6 0.763
## 1948 56.2 0.632
## 1949 56.8 0.643
## testRow1 69.89 0.756
## Generosity Perceptions.of.corruption Positive.affect Negative.affect
## 1945 -0.095 0.724 0.738 0.209
## 1946 -0.098 0.751 0.806 0.224
## 1947 -0.068 0.844 0.71 0.212
## 1948 -0.064 0.831 0.716 0.235
## 1949 -0.009 0.789 0.703 0.346
## testRow1 0.254 0.234 0.825 0.321test2 = df
test2['testRow2',] = testRow2
tail(test2)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1945 Zimbabwe 2016 3.735 7.984 0.768
## 1946 Zimbabwe 2017 3.638 8.016 0.754
## 1947 Zimbabwe 2018 3.616 8.049 0.775
## 1948 Zimbabwe 2019 2.694 7.95 0.759
## 1949 Zimbabwe 2020 3.16 7.829 0.717
## testRow2 Italy 2021 5.678 8.901 0.934
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices
## 1945 54.4 0.733
## 1946 55 0.753
## 1947 55.6 0.763
## 1948 56.2 0.632
## 1949 56.8 0.643
## testRow2 67.56 0.985
## Generosity Perceptions.of.corruption Positive.affect Negative.affect
## 1945 -0.095 0.724 0.738 0.209
## 1946 -0.098 0.751 0.806 0.224
## 1947 -0.068 0.844 0.71 0.212
## 1948 -0.064 0.831 0.716 0.235
## 1949 -0.009 0.789 0.703 0.346
## testRow2 0.123 0.752 0.644 0.245test = df
test["Test",] = NA
tail(test)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1945 Zimbabwe 2016 3.735 7.984 0.768
## 1946 Zimbabwe 2017 3.638 8.016 0.754
## 1947 Zimbabwe 2018 3.616 8.049 0.775
## 1948 Zimbabwe 2019 2.694 7.950 0.759
## 1949 Zimbabwe 2020 3.160 7.829 0.717
## Test <NA> NA NA NA NA
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1945 54.4 0.733 -0.095
## 1946 55.0 0.753 -0.098
## 1947 55.6 0.763 -0.068
## 1948 56.2 0.632 -0.064
## 1949 56.8 0.643 -0.009
## Test NA NA NA
## Perceptions.of.corruption Positive.affect Negative.affect
## 1945 0.724 0.738 0.209
## 1946 0.751 0.806 0.224
## 1947 0.844 0.710 0.212
## 1948 0.831 0.716 0.235
## 1949 0.789 0.703 0.346
## Test NA NA NAcol(temp, as.factor = F)## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11]
## [1,] 1 2 3 4 5 6 7 8 9 10 11
## [2,] 1 2 3 4 5 6 7 8 9 10 11
## [3,] 1 2 3 4 5 6 7 8 9 10 11
## [4,] 1 2 3 4 5 6 7 8 9 10 11
## [5,] 1 2 3 4 5 6 7 8 9 10 11
## [6,] 1 2 3 4 5 6 7 8 9 10 11
## [7,] 1 2 3 4 5 6 7 8 9 10 11
## [8,] 1 2 3 4 5 6 7 8 9 10 11
## [9,] 1 2 3 4 5 6 7 8 9 10 11
## [10,] 1 2 3 4 5 6 7 8 9 10 11
## [11,] 1 2 3 4 5 6 7 8 9 10 11
## [12,] 1 2 3 4 5 6 7 8 9 10 11
## [13,] 1 2 3 4 5 6 7 8 9 10 11
## [14,] 1 2 3 4 5 6 7 8 9 10 11
## [15,] 1 2 3 4 5 6 7 8 9 10 11col(temp4, as.factor = F)## [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11]
## [1,] 1 2 3 4 5 6 7 8 9 10 11
## [2,] 1 2 3 4 5 6 7 8 9 10 11
## [3,] 1 2 3 4 5 6 7 8 9 10 11
## [4,] 1 2 3 4 5 6 7 8 9 10 11
## [5,] 1 2 3 4 5 6 7 8 9 10 11
## [6,] 1 2 3 4 5 6 7 8 9 10 11
## [7,] 1 2 3 4 5 6 7 8 9 10 11
## [8,] 1 2 3 4 5 6 7 8 9 10 11
## [9,] 1 2 3 4 5 6 7 8 9 10 11
## [10,] 1 2 3 4 5 6 7 8 9 10 11
## [11,] 1 2 3 4 5 6 7 8 9 10 11
## [12,] 1 2 3 4 5 6 7 8 9 10 11
## [13,] 1 2 3 4 5 6 7 8 9 10 11
## [14,] 1 2 3 4 5 6 7 8 9 10 11x = df[ , 10:11]
head(x)## Positive.affect Negative.affect
## 1 0.518 0.258
## 2 0.584 0.237
## 3 0.618 0.275
## 4 0.611 0.267
## 5 0.710 0.268
## 6 0.621 0.273y = df[ , 8:9]
head(y)## Generosity Perceptions.of.corruption
## 1 0.168 0.882
## 2 0.190 0.850
## 3 0.121 0.707
## 4 0.162 0.731
## 5 0.236 0.776
## 6 0.061 0.823z = df[ , 6:7]
head(z)## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices
## 1 50.80 0.718
## 2 51.20 0.679
## 3 51.60 0.600
## 4 51.92 0.496
## 5 52.24 0.531
## 6 52.56 0.578colMeans(x)## Positive.affect Negative.affect
## NA NAcolMeans(y)## Generosity Perceptions.of.corruption
## NA NAcolMeans(z)## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices
## NA NArowMeans(x)## [1] 0.3880 0.4105 0.4465 0.4390 0.4890 0.4470 0.4535 0.4465 0.4565 0.4335
## [11] 0.4145 0.4265 0.3995 0.4595 0.4740 0.4425 0.4390 0.4860 0.5100 0.5190
## [21] 0.4985 0.5015 0.5160 0.4775 0.4720 NA 0.4025 0.4170 0.4015 0.5190
## [31] 0.4655 0.4420 0.4000 0.5100 0.4315 0.5145 0.4735 0.5765 0.5535 0.5705
## [41] 0.5505 0.5285 0.5360 0.5645 0.5480 0.5475 0.5820 0.5770 0.5505 0.5705
## [51] 0.5725 0.5530 0.4815 0.4595 0.4530 0.4770 0.4680 0.4670 0.4910 0.5060
## [61] 0.4925 0.5160 0.5155 0.5310 0.5180 0.5140 0.5405 0.5205 0.5220 0.5270
## [71] 0.5055 0.5125 0.4980 0.5100 0.5000 0.5135 0.5025 0.4730 0.4860 0.4870
## [81] 0.4985 0.5025 0.4855 0.4670 0.4895 0.4750 0.4750 0.4810 0.4765 0.4640
## [91] 0.4890 0.4895 0.4875 0.3940 0.4025 0.4025 0.3890 0.3995 0.3970 0.4100
## [101] 0.4305 0.4090 0.4065 0.3945 0.3950 0.3920 0.4035 0.5930 0.5540 0.5290
## [111] 0.4850 0.5370 NA 0.5095 0.5350 0.5520 0.5395 0.5435 0.4605 0.4740
## [121] 0.4785 0.4465 0.4605 0.4600 0.4485 0.4325 NA 0.4305 0.3975 0.3915
## [131] 0.4510 0.4530 0.4570 0.4370 0.4155 NA 0.3945 0.3875 0.3850 0.3520
## [141] 0.4075 0.4140 0.3840 0.3680 0.3870 0.3430 0.3905 0.5280 0.5155 0.5275
## [151] 0.5340 0.5300 0.5290 0.5070 0.5250 0.5225 0.5125 0.5100 0.5000 0.4885
## [161] 0.4535 0.5050 0.5185 0.4480 0.4435 0.4225 0.4070 0.4590 0.4315 0.4825
## [171] 0.5320 0.5365 0.5575 0.5500 0.4570 0.4980 0.5915 0.5610 0.5855 0.5795
## [181] 0.5865 0.5845 0.5580 0.5610 0.5955 0.5845 0.6035 0.5895 0.5795 0.5660
## [191] 0.5645 0.5850 0.5860 0.4545 0.4810 0.4630 0.4610 0.4430 0.4295 0.3965
## [201] 0.4100 0.4725 0.4340 0.4600 0.4355 0.4845 0.4570 0.4745 0.4310 0.4495
## [211] 0.4720 0.4710 0.4595 0.5035 0.4690 0.4660 0.4985 0.4925 0.5600 0.5790
## [221] 0.5425 0.5535 0.5335 0.5375 0.5525 0.5470 0.5310 0.5400 0.5325 0.5120
## [231] 0.5500 0.5490 0.5405 0.4100 0.3920 0.4025 0.4050 0.4505 0.4320 0.4285
## [241] 0.3970 0.4015 0.4140 0.4315 0.4635 0.4910 0.4660 0.4135 0.4035 0.3920
## [251] 0.4225 0.4585 0.4350 0.4690 0.4765 0.4695 0.5270 0.5280 0.3465 0.4025
## [261] 0.4395 0.4535 0.5145 0.5300 NA 0.5370 0.4920 0.5980 0.5535 0.5860
## [271] 0.6160 0.6325 0.6060 0.6185 0.6035 0.6295 0.6170 0.6340 0.4385 0.4420
## [281] 0.4560 0.4215 0.4400 0.4350 0.4510 0.4745 0.4195 0.4985 0.5145 0.5045
## [291] 0.4990 0.4775 0.5080 0.5360 0.5645 0.5460 0.5575 0.5560 0.5645 0.5430
## [301] 0.5570 0.5460 0.5655 0.5310 0.5405 0.5415 0.5535 0.5515 0.4490 0.3900
## [311] 0.4005 0.5365 0.6065 0.4215 0.4295 0.3970 0.3890 0.4160 0.4400 0.4215
## [321] 0.3880 0.4325 0.4825 0.5250 0.5830 0.5485 0.5235 0.5760 0.5545 0.5435
## [331] 0.5540 0.5545 0.5605 0.5515 0.5700 0.5730 0.5680 0.5760 0.5645 0.5545
## [341] 0.5730 0.5755 0.4895 0.4880 0.4820 0.4740 0.4615 0.4770 0.4900 0.4890
## [351] 0.4830 0.4900 0.4860 0.5175 0.5230 0.5190 0.5170 0.5630 0.5475 0.5550
## [361] 0.5580 0.5480 0.5590 0.5700 0.5645 0.5625 0.5655 0.5440 0.5680 0.5630
## [371] 0.5720 0.5675 0.4195 0.4530 0.4200 0.4120 0.5425 0.5360 0.4355 0.4545
## [381] 0.4435 0.4505 0.4975 0.4335 0.4570 0.4905 0.5180 0.5250 0.3870 0.4125
## [391] 0.4320 0.3880 0.4320 0.4450 0.4340 0.4775 0.5520 0.5575 0.5385 0.5465
## [401] 0.5535 0.5725 0.5800 0.5640 0.5635 0.5680 0.5775 0.5745 0.5980 0.5755
## [411] 0.4615 0.4545 0.4330 0.4355 0.4465 0.4375 0.4410 0.4515 0.4755 0.4855
## [421] 0.4360 0.4100 0.5145 0.4620 0.5410 0.5375 0.5410 0.5175 0.5620 0.5840
## [431] 0.5670 0.5650 0.5390 0.5425 0.5240 0.5265 0.5215 0.4905 0.5065 0.4425
## [441] 0.4270 0.4330 0.4865 0.4565 0.4785 0.4785 0.4830 0.4460 0.5610 0.5070
## [451] 0.5110 0.4600 0.4915 0.4700 0.4720 0.4915 0.5285 0.5325 0.5235 0.5220
## [461] 0.5150 0.5135 0.5215 0.5225 0.4375 0.4470 NA 0.3800 0.5110 0.5135
## [471] 0.5305 0.5325 0.5345 0.5545 0.5470 0.5440 0.5490 0.5045 0.5190 0.5070
## [481] 0.5180 0.5240 0.5240 0.5910 0.5595 0.5630 0.5480 0.5230 0.5665 0.5900
## [491] 0.5590 0.5825 0.5870 0.6055 0.5715 0.6020 0.5925 0.6030 0.5405 0.5100
## [501] 0.4920 0.4905 0.4215 0.4410 0.4625 0.5170 0.4350 0.4770 0.4905 0.4765
## [511] 0.3885 0.4150 0.5205 0.5485 0.5445 0.5370 0.5465 0.5580 0.6055 0.5980
## [521] 0.5725 0.5835 0.5795 0.5535 0.5585 0.5650 0.5710 0.5840 0.4350 0.4210
## [531] 0.4075 0.4205 0.4280 0.4230 0.4505 0.4415 0.4530 0.4515 0.4825 0.4790
## [541] 0.4800 0.4975 0.4025 0.4280 0.5205 0.4755 0.4905 0.4565 0.4660 0.4570
## [551] 0.4605 0.4470 0.4585 0.5170 0.4890 0.4990 0.4820 0.4915 0.4710 0.4895
## [561] 0.4815 0.4820 0.4680 0.4685 0.4970 0.5330 0.5135 0.5330 0.5255 0.5310
## [571] 0.5035 0.5025 0.5135 0.5005 0.5215 0.5020 0.5245 0.4925 0.4815 0.4275
## [581] 0.3680 0.3985 0.4160 0.4990 0.5360 0.5400 0.5295 0.5530 0.5575 0.5915
## [591] 0.5870 0.3510 0.3315 0.3515 0.3670 0.3725 0.3810 0.4045 0.3975 0.3870
## [601] 0.3900 0.3935 0.3955 0.4085 0.4240 0.4530 0.4865 0.4815 0.5035 0.4990
## [611] 0.4880 0.4795 0.4870 0.4740 0.4865 0.4840 0.4625 0.4665 0.5115 0.4885
## [621] 0.4830 0.4345 0.4515 0.4445 0.4860 0.4835 0.4765 0.4560 0.4510 0.4880
## [631] 0.4775 0.4865 0.4755 0.4985 0.4760 0.4830 0.4780 0.4800 0.4515 0.4630
## [641] 0.4570 0.4665 0.5855 0.5400 0.5085 0.5185 0.4680 0.4605 0.4520 0.5030
## [651] 0.5525 0.5215 0.5340 0.5345 0.5430 0.5665 0.6060 0.6000 0.5700 0.5810
## [661] 0.5835 0.5770 0.5665 0.5850 0.4805 0.4810 0.4740 0.4900 0.4675 0.5305
## [671] 0.5630 0.5920 0.5790 0.5320 0.4725 0.4320 0.4240 0.4350 0.4385 0.4325
## [681] 0.4600 0.4760 0.4600 0.4475 0.4715 0.5065 0.4790 0.4975 0.5320 0.5285
## [691] 0.5615 0.5705 0.5500 0.5595 0.5870 0.5645 0.5450 0.5795 0.5645 0.4795
## [701] 0.4780 0.4860 0.4465 0.4650 0.4490 0.4635 0.4385 0.4205 0.4785 0.4095
## [711] 0.4825 0.4655 0.4460 0.4455 0.4735 0.4835 0.5065 0.4445 0.4760 0.4545
## [721] 0.4580 0.4385 0.4615 0.4875 0.5165 0.5285 0.5130 0.5145 0.5160 0.5215
## [731] 0.5070 0.5175 0.4430 0.4605 0.4665 0.5360 0.4820 0.4400 0.4620 0.5050
## [741] 0.4980 0.5115 0.5205 0.5000 0.5070 0.5570 0.5675 0.5455 0.5270 0.5065
## [751] 0.5290 0.5275 0.5685 0.5630 0.5710 0.5470 0.5750 0.5875 0.5910 0.5800
## [761] 0.5895 0.5320 0.4935 0.4845 0.4685 0.5670 0.6055 0.5650 0.5825 0.6065
## [771] 0.5665 0.5230 0.5245 0.5260 0.4865 0.4635 0.4865 0.5225 0.4360 NA
## [781] 0.5690 0.5355 0.5295 0.5480 0.5435 0.5880 0.5435 0.5115 0.5475 0.5385
## [791] 0.5275 0.5360 0.5295 0.5065 0.5120 0.5100 0.5230 0.5120 0.5150 0.5215
## [801] 0.5020 0.5080 0.5295 0.5110 0.5205 0.5610 0.4920 0.5535 0.4375 0.4765
## [811] 0.4460 0.4750 0.4725 0.4505 0.4320 0.4870 0.5095 0.4525 0.5270 0.4160
## [821] 0.4620 0.5290 0.5680 0.5360 0.5105 0.5120 0.4920 0.5260 0.4795 0.4905
## [831] 0.3950 0.5245 0.4690 0.5055 0.5410 0.5275 0.5340 0.5495 0.5165 0.4945
## [841] 0.5365 0.5230 0.5235 0.5060 0.4735 0.4460 0.4690 0.4855 0.4770 0.5075
## [851] 0.4785 0.4740 0.4845 0.4655 0.4720 0.4760 0.4580 0.4440 0.4685 0.4640
## [861] 0.4680 0.4615 0.5000 0.4550 0.4930 0.4360 0.4550 0.4850 0.4865 0.4975
## [871] 0.4765 0.5100 NA NA NA 0.4270 0.4150 0.4175 0.4040 0.4205
## [881] 0.4245 0.4620 0.4190 0.4435 0.4520 0.4285 0.4640 0.4275 0.4630 0.4170
## [891] 0.4515 0.4435 0.4605 0.4775 0.4710 0.4940 0.4505 0.4630 0.5175 0.4370
## [901] 0.4845 0.5090 0.4980 0.5010 0.5150 0.4460 NA 0.3835 0.4065 0.4100
## [911] 0.3480 0.4475 0.4210 0.4665 0.4270 0.4620 0.4740 0.4450 0.4635 0.5140
## [921] 0.4850 0.4605 0.4850 0.4580 0.5175 NA 0.5235 0.5015 0.4995 0.4990
## [931] 0.4070 0.3925 0.3850 0.3860 0.3865 0.4160 0.4365 0.4285 0.4550 0.4700
## [941] 0.4520 0.4575 0.4830 0.4865 0.5305 0.5245 0.4985 0.5155 0.5625 0.6520
## [951] 0.6085 0.5920 0.5920 0.5900 0.4440 0.4600 0.4270 0.3835 0.3925 0.3960
## [961] 0.4345 0.4390 0.4180 0.4425 0.4275 0.3885 0.3935 0.4580 0.4380 0.4340
## [971] 0.4460 0.4645 0.4330 0.4490 0.4190 0.4540 0.4130 0.4055 0.4080 0.3795
## [981] 0.3675 0.4080 0.4815 0.5010 0.5005 0.5040 0.5240 0.4230 0.4060 0.4930
## [991] 0.4465 0.5725 0.5295 0.5480 0.5125 0.5055 0.5365 0.5505 0.5380 0.5525
## [1001] 0.5550 0.4375 0.4340 0.4045 0.3985 0.3725 0.4225 0.4290 0.4375 0.4530
## [1011] 0.4355 0.4220 0.4015 0.3655 0.4210 0.4310 0.5185 0.5125 0.5180 0.5210
## [1021] 0.4125 0.4865 0.4750 0.4750 0.4750 0.4760 0.5005 0.4315 0.4145 0.3725
## [1031] 0.4420 0.4875 0.4700 0.5140 0.5085 0.5635 0.5570 0.5135 0.4460 0.4515
## [1041] 0.4475 0.4905 0.5080 0.5280 0.4835 0.4465 0.4640 0.4605 0.4755 0.4425
## [1051] 0.4965 0.4685 0.5005 0.4930 0.5120 0.5210 0.5220 0.5265 0.5155 0.5445
## [1061] 0.5120 0.5050 NA 0.4880 0.4230 0.4550 0.4795 0.4450 0.3950 0.4585
## [1071] 0.4635 0.4760 0.5560 0.5675 0.5700 0.5350 0.5365 0.5360 0.5380 0.5675
## [1081] 0.5150 0.5020 0.5175 0.5210 0.5115 0.5085 0.5315 0.5060 0.4535 0.4540
## [1091] 0.4540 0.4535 0.4685 0.4730 0.4945 0.4590 0.5070 0.4785 0.4545 0.4695
## [1101] 0.4760 0.4955 0.5150 0.5155 0.4585 0.4660 0.4785 0.4525 0.5195 0.5320
## [1111] 0.5130 0.5225 0.5275 0.5090 0.5310 0.5065 0.5155 0.4910 0.5395 0.5370
## [1121] 0.5475 0.5580 0.5510 0.4370 0.4385 0.4340 0.4340 0.4310 0.4265 0.4410
## [1131] 0.4215 0.4215 0.4355 0.4480 0.4200 0.4260 0.4465 0.4975 0.3870 0.3795
## [1141] 0.4310 0.4225 0.4350 0.4140 0.3985 0.4305 0.4325 0.4445 0.4230 0.4370
## [1151] 0.4480 0.4595 0.5230 0.5025 0.4905 0.4765 0.4350 0.4775 0.4585 0.4640
## [1161] 0.4345 0.4725 0.4785 0.5070 NA 0.4615 0.4840 0.5115 0.4615 0.4590
## [1171] 0.4410 0.5270 0.4995 0.4215 0.4750 0.4370 0.4515 0.4175 0.4520 0.5005
## [1181] 0.5185 0.4855 0.4845 0.5100 0.4850 0.5690 0.5530 0.5140 0.5385 0.5205
## [1191] 0.5445 0.4855 0.4940 0.4990 0.4895 0.4640 0.4480 0.4440 0.3975 0.4490
## [1201] 0.3925 0.4490 0.4530 0.4835 0.4540 0.4505 0.4505 0.4985 0.4735 0.4620
## [1211] 0.4465 0.5510 0.5155 0.4850 0.5295 0.5220 0.5435 0.5510 0.5445 0.5180
## [1221] 0.5265 0.5185 0.5335 0.5345 0.5155 0.5495 0.5460 0.5430 0.5410 0.5370
## [1231] 0.5365 0.4930 0.5235 0.4970 0.5200 0.4945 0.5065 0.5035 0.5290 0.5365
## [1241] 0.5485 0.5365 0.5400 0.5365 0.5500 0.5290 0.5550 0.5735 0.5715 0.5925
## [1251] 0.5790 0.6005 0.5860 0.4670 0.4320 0.4220 0.4225 0.4355 0.4330 0.3725
## [1261] 0.4290 0.4415 0.4500 0.5000 0.5790 0.6370 0.5600 0.4795 0.4835 0.4920
## [1271] 0.4850 0.4860 0.5100 0.4620 0.4840 0.4920 0.4805 0.5305 0.4800 0.5300
## [1281] 0.5570 0.5325 0.5175 0.5105 0.4950 0.3710 0.3950 0.4270 0.4730 0.4405
## [1291] 0.4755 0.5320 0.4545 0.4720 0.4595 0.4655 0.4005 0.4440 0.4400 0.4850
## [1301] 0.5145 0.4735 0.5180 0.5140 0.5260 0.5295 0.5260 0.5195 0.5090 0.5195
## [1311] NA NA 0.4965 0.4880 0.4940 0.5115 0.4930 0.4985 0.4360 0.4400
## [1321] 0.4520 0.4900 0.4470 0.4720 0.5025 0.4640 0.4890 0.4870 0.5050 0.5045
## [1331] 0.4775 0.4975 0.4795 0.4725 0.4815 0.4855 0.5065 0.5145 0.5125 0.5385
## [1341] 0.4845 0.4845 0.5135 0.5170 0.5325 0.5380 0.5475 0.5310 0.5325 0.5510
## [1351] 0.5375 0.5535 0.5610 0.5595 0.5430 0.5540 0.5090 0.5155 0.5000 0.5250
## [1361] 0.5715 0.5800 0.5425 0.5610 0.5675 0.5665 0.5585 0.5595 0.5585 0.5655
## [1371] 0.5650 0.5555 0.5775 0.5840 0.5390 0.5660 0.5800 0.5915 0.5945 0.5975
## [1381] NA 0.5810 0.5945 0.5785 0.5850 0.6045 0.6080 0.5655 0.5735 0.5780
## [1391] 0.5555 0.5550 0.5830 0.5610 0.5655 0.4985 0.4990 0.4680 0.4855 0.4745
## [1401] 0.5270 0.5130 0.5000 0.4870 0.5005 0.4400 0.4590 0.4465 0.5445 0.5210
## [1411] 0.5060 0.5035 0.5020 0.5495 0.5240 0.5315 0.5140 0.5050 0.4715 0.4985
## [1421] 0.5050 0.5155 0.4680 NA 0.5445 0.5440 NA 0.4940 0.4605 0.4090
## [1431] 0.4700 0.4185 0.4495 0.4845 0.4925 0.5130 0.4760 0.4825 0.5165 0.4705
## [1441] 0.4215 0.4080 0.3800 0.3675 0.3800 0.3830 0.3925 0.4300 0.4195 0.4045
## [1451] 0.3890 0.4525 0.4360 0.4455 0.4175 0.4620 0.4320 0.3950 0.4095 0.4175
## [1461] 0.4635 0.4485 0.4635 0.5185 0.5600 0.5505 0.5770 0.4865 0.5020 0.4560
## [1471] 0.5305 0.4710 0.4830 0.4700 0.5100 0.5090 0.5255 0.5295 0.5405 0.5260
## [1481] 0.4850 0.5025 0.4825 0.4565 0.4625 0.4925 0.4560 0.4660 0.4925 0.4225
## [1491] 0.4410 0.4595 0.5145 0.5185 0.4805 0.5605 0.4550 0.4895 0.4735 0.4775
## [1501] 0.4425 0.4660 0.4120 0.3995 0.4165 0.4180 0.4275 0.3755 0.4805 0.4430
## [1511] 0.4360 0.4520 0.4020 0.3730 0.4720 0.4520 0.5195 0.5200 0.5475 0.5090
## [1521] 0.4755 0.5090 0.4070 0.4885 0.3540 0.3665 0.3135 0.4590 0.5105 0.4725
## [1531] 0.4675 0.4895 0.4470 0.4305 0.4930 0.4715 0.4620 0.4790 0.4875 0.4850
## [1541] 0.4915 0.5030 0.5005 0.5035 0.5010 0.5190 0.4795 0.4720 0.4830 0.4685
## [1551] 0.4700 0.4545 0.4555 0.4600 0.4490 0.4505 0.4595 0.4535 0.4620 0.5205
## [1561] 0.5440 0.5420 0.4655 0.4260 0.4355 0.4435 0.5125 0.4725 0.4895 0.4790
## [1571] 0.4590 0.4965 0.4695 0.4700 0.5205 0.4710 0.5435 0.5265 0.5475 0.5345
## [1581] 0.5570 0.4945 0.4580 0.4410 0.4530 0.3960 0.4120 0.4350 0.4325 0.4680
## [1591] 0.4470 0.4545 0.4290 0.4390 0.4600 0.4435 0.5210 0.5180 0.5820 0.5515
## [1601] 0.5085 0.5135 0.5160 0.5440 0.5230 0.5465 0.5575 0.5340 0.5255 0.5085
## [1611] 0.4770 0.4635 0.5080 0.4895 0.5015 0.4865 0.4645 0.4715 0.4710 0.4930
## [1621] 0.5000 0.5305 0.5340 0.5150 0.5415 0.5325 0.5665 0.5655 0.4895 0.4450
## [1631] 0.4175 0.4090 0.4220 0.5070 0.5360 0.5380 0.5290 0.4955 0.4865 0.4690
## [1641] 0.4855 0.5165 0.4970 0.5125 0.5065 0.5220 0.5045 0.5085 0.4945 0.4920
## [1651] 0.5140 0.4940 0.5165 0.5080 0.5175 0.5060 0.4875 0.4925 0.4850 0.4920
## [1661] 0.4845 0.4810 0.4735 0.4330 0.3915 0.5475 0.5845 0.5045 0.5060 0.4540
## [1671] 0.4815 0.4905 0.4695 0.4805 0.4850 0.4785 0.4805 0.4705 0.4755 0.4705
## [1681] 0.4765 0.4640 0.3805 0.4135 0.3830 0.4040 0.4175 0.4320 0.4560 0.4235
## [1691] 0.4260 0.4425 0.4320 0.4405 0.4575 0.4535 0.5465 0.4785 0.4875 0.4610
## [1701] 0.4695 0.4315 0.4550 0.4370 0.4645 0.4860 0.4055 0.4700 0.4850 0.4915
## [1711] 0.4845 0.4785 0.4890 0.5060 0.4820 0.5320 0.5415 0.5255 0.4965 0.4935
## [1721] 0.4900 0.5420 0.5265 0.5240 0.5205 0.5255 0.5545 0.4815 0.3705 0.4375
## [1731] 0.5130 0.5075 0.5435 0.5200 0.5270 0.5170 0.5135 0.5005 0.5200 0.5595
## [1741] 0.5470 NA 0.4870 0.4180 0.4240 0.3780 0.4120 0.4465 0.4950 0.3990
## [1751] 0.4785 0.4860 0.5120 NA 0.5230 0.4795 0.4570 0.4895 0.5005 0.4900
## [1761] 0.5135 0.4300 0.4210 0.4275 0.3815 0.3930 0.3950 0.4120 0.4665 0.3805
## [1771] 0.3505 0.3795 0.4245 0.5030 0.4455 0.4355 0.4005 0.3465 0.4220 0.4680
## [1781] 0.4405 0.4680 0.4495 0.4660 0.5095 0.5110 0.5390 0.5280 0.5390 0.5515
## [1791] 0.5375 0.5390 0.5620 0.4355 0.4220 0.3795 0.3860 0.3700 0.4050 0.3815
## [1801] 0.4340 0.4215 0.4075 0.4045 0.4160 0.4155 0.4175 0.4865 0.5105 0.5285
## [1811] 0.4980 0.4895 0.4960 NA NA 0.5285 0.5100 0.5015 0.5445 0.5385
## [1821] 0.5250 0.5630 0.5115 0.5185 0.5385 0.5195 0.5090 0.5140 0.5140 0.5225
## [1831] 0.5085 0.5030 0.4845 0.5055 0.5130 0.4915 0.5440 0.5305 0.5495 0.5525
## [1841] 0.5460 0.5545 0.5470 0.5370 0.5575 0.5445 0.5350 0.5475 0.5535 0.5295
## [1851] 0.5410 0.5450 0.5255 0.5075 0.5240 0.5190 0.5285 0.5010 0.5395 0.5600
## [1861] 0.5965 0.5625 0.5580 0.5760 0.5555 0.5360 0.4615 0.4505 0.4475 0.4640
## [1871] 0.4550 0.4520 0.4395 0.4555 0.4715 0.4945 0.5210 0.5170 0.5325 0.5260
## [1881] 0.5185 0.5130 0.5025 0.4960 0.5135 0.5170 0.5390 0.5275 0.5450 0.5400
## [1891] 0.5445 0.5665 0.5560 0.5590 0.4430 0.3970 0.4415 0.3865 0.4505 0.3625
## [1901] 0.4180 0.4415 0.4710 0.4370 0.3795 NA 0.4415 0.4685 0.4855 0.4785
## [1911] 0.4450 0.3940 0.3825 0.4120 0.4435 0.4140 0.3485 0.3750 0.3880 0.3780
## [1921] 0.4635 0.4665 0.4750 0.4255 0.5185 0.4880 0.5215 0.5095 0.5360 0.5515
## [1931] 0.5360 0.5270 0.5685 0.5180 0.5060 0.4630 0.4405 0.4770 0.4350 0.4960
## [1941] 0.4230 0.4470 0.4820 0.4470 0.4735 0.5150 0.4610 0.4755 0.5245rowMeans(y)## [1] 0.5250 0.5200 0.4140 0.4465 0.5060 0.4420 0.4875 0.4805 0.4175
## [10] 0.4165 0.4170 0.4080 0.4330 0.3530 0.2770 0.3360 0.3395 0.3680
## [19] 0.4290 0.4020 0.4420 0.4235 0.4540 0.4075 0.4490 0.2065 0.2285
## [28] 0.2590 NA NA 0.2665 0.3065 0.3730 0.4830 0.3850 0.3560
## [37] 0.3330 0.3475 0.3700 0.3665 0.3775 0.3645 0.2905 0.3345 0.3465
## [46] 0.3450 0.3385 0.3295 0.3275 0.3220 0.3095 0.3470 0.3095 0.2830
## [55] 0.3305 0.3340 0.3575 0.3250 0.3390 0.3525 0.3510 0.3490 0.3755
## [64] 0.3590 0.2570 0.2055 NA 0.4300 0.3680 0.3415 0.3755 0.3210
## [73] 0.3505 0.3805 0.3445 0.3190 0.3640 0.2755 0.2755 0.3505 0.3960
## [82] 0.4525 0.3385 0.4175 0.4445 0.4235 0.3425 0.3280 0.3020 0.3255
## [91] 0.2880 0.2585 0.2375 0.2695 0.3320 0.3430 0.3335 0.3675 0.3450
## [100] 0.3115 0.2655 0.2230 0.2090 0.2015 0.2140 0.1645 0.1215 0.2715
## [109] 0.3570 0.2660 NA NA NA NA NA NA NA
## [118] NA 0.4270 0.4230 0.3790 0.3505 0.3790 0.3440 0.3655 0.3635
## [127] 0.3455 0.3265 0.2995 0.3235 0.3290 0.3025 0.3665 0.2310 0.2350
## [136] 0.2380 0.2365 0.2715 0.2520 0.2200 0.2380 0.3170 0.2890 0.2695
## [145] 0.2660 0.2720 0.1800 NA 0.3950 0.3295 0.3595 0.3485 0.3540
## [154] 0.2955 0.2565 0.2655 0.2205 0.2985 0.2525 0.2500 0.2350 0.4010
## [163] 0.4020 0.3895 0.4105 0.3535 0.3475 0.3855 0.3795 0.4115 0.3865
## [172] 0.3510 0.3745 0.3410 0.2245 0.5775 0.4590 0.4555 0.3750 0.4090
## [181] 0.3545 0.3635 0.3565 0.3930 0.4125 0.3725 0.4250 0.4160 0.4030
## [190] 0.3495 0.3465 0.3855 0.4070 0.4660 0.4665 0.4025 0.4450 0.4700
## [199] 0.5060 0.6040 0.4525 0.5455 0.5075 0.5180 0.5210 0.5270 0.2640
## [208] 0.3210 0.3355 0.2830 0.3055 0.2975 0.3190 0.3720 0.2380 0.2415
## [217] 0.2765 0.2765 NA 0.3560 0.3050 0.3340 0.3010 0.2950 NA
## [226] 0.3060 0.2975 0.3775 0.3405 0.3095 0.3230 0.3500 0.3380 0.4190
## [235] 0.3985 0.3600 0.3830 0.3855 0.4500 0.3705 0.3830 0.3785 0.3880
## [244] 0.4170 0.4485 0.4130 0.3865 0.3930 0.3655 0.3010 0.3280 0.3745
## [253] 0.3985 0.3485 0.3600 0.3320 0.3720 0.3625 0.4205 0.3495 0.3075
## [262] 0.3745 0.2875 0.5420 0.4975 0.4665 0.5585 0.6230 0.5965 0.5685
## [271] 0.4880 0.5410 0.5175 0.4580 0.4545 NA 0.4205 0.4575 0.4490
## [280] 0.4395 0.4380 0.4540 0.4385 0.4205 0.4330 0.4185 0.3925 0.4585
## [289] 0.4380 0.4080 0.4600 0.4045 0.4430 0.3795 0.3275 0.3160 0.3295
## [298] 0.3215 0.3430 0.3780 0.3610 0.3560 0.3400 0.2980 0.2625 0.2390
## [307] 0.2740 0.2420 0.4315 0.4045 0.4090 0.4460 0.4815 0.4945 0.4315
## [316] 0.5035 0.4760 0.4415 0.4535 0.4250 0.4185 0.4055 0.4300 0.4360
## [325] 0.4000 0.3935 0.4435 0.4010 0.4835 0.4125 0.4415 0.4050 0.4325
## [334] 0.4885 0.4130 0.4875 0.4265 0.4800 0.4080 0.3780 0.3785 0.4225
## [343] NA NA NA NA NA NA NA NA NA
## [352] NA NA NA NA NA NA 0.3965 0.4100 0.3605
## [361] 0.3910 0.3825 0.3870 0.4295 0.4135 0.3985 0.3715 0.3990 0.3590
## [370] 0.3535 0.3410 0.3615 0.3820 0.3730 0.3285 0.2650 0.4400 0.4195
## [379] NA 0.3620 0.3440 0.3370 0.3490 0.3685 0.3590 0.3160 0.3230
## [388] 0.3475 0.4010 0.4155 0.3860 0.4625 0.4115 0.4090 0.4255 0.4385
## [397] 0.4290 0.4590 0.4560 0.4260 0.4050 0.4020 0.4200 0.4155 0.3990
## [406] 0.3510 0.3745 0.3330 0.3370 0.3450 0.4210 0.3435 0.3680 0.3895
## [415] 0.3410 0.3660 0.5250 0.3765 0.4095 0.3940 0.3870 0.3975 0.4490
## [424] NA 0.3650 0.4275 0.4530 0.5105 0.4845 0.4845 0.4640 0.5035
## [433] 0.4340 0.4470 0.4130 0.4285 NA NA 0.4325 0.4420 0.4220
## [442] 0.4015 0.3800 0.3645 0.3700 0.3515 0.3450 0.2795 0.3785 NA
## [451] 0.2230 0.2600 0.2350 0.2085 0.2590 0.1630 0.1925 0.1775 0.2065
## [460] 0.1740 0.1680 0.0845 0.0970 0.1330 0.3525 0.3195 0.2695 0.2310
## [469] 0.3965 0.3820 0.3415 0.3765 0.3525 0.4010 0.3325 0.3865 0.3700
## [478] 0.3450 0.3285 0.3195 0.3060 0.3115 0.2540 0.4050 0.3835 0.3535
## [487] 0.3330 0.3715 0.2735 0.3230 0.2275 0.2470 0.2760 0.3795 0.2835
## [496] 0.3660 0.3620 0.3490 NA NA 0.4135 0.3505 0.3750 0.3540
## [505] 0.3710 0.3860 0.3115 0.2975 0.3385 NA NA NA NA
## [514] 0.3755 0.3850 0.3285 0.2725 0.3150 0.2905 0.3155 0.3110 0.2935
## [523] 0.3245 0.3060 0.3030 0.3530 0.2865 0.2285 0.2665 0.2485 0.2230
## [532] 0.2815 0.2595 0.3005 0.2625 0.2495 0.2025 0.2450 0.2835 0.2400
## [541] 0.2400 0.1580 NA 0.3710 0.3910 0.3400 0.3705 0.3790 0.4190
## [550] 0.3925 0.4860 0.0635 0.1225 0.2520 0.2105 0.1800 0.1730 0.1320
## [559] 0.1670 0.1115 0.0950 0.0360 0.0715 0.0240 NA 0.4125 0.3190
## [568] 0.2860 0.2595 0.2625 0.2295 0.2870 0.2690 0.2510 0.2660 0.2390
## [577] 0.2220 0.2175 0.1980 0.3200 0.3075 0.3170 0.2920 0.3365 0.3065
## [586] 0.3200 0.3130 0.3215 0.3415 0.5655 0.6040 0.2425 0.2150 0.1370
## [595] 0.1510 0.1060 0.0490 0.0260 0.0475 0.0915 0.1485 0.1560 0.1730
## [604] 0.2610 0.1935 0.1810 NA 0.4795 NA 0.4085 0.3915 0.3550
## [613] 0.3750 0.2950 0.2810 0.2950 0.2970 0.2795 0.2650 0.2595 0.1820
## [622] 0.5135 0.4545 0.4915 0.4475 0.4745 0.4005 0.4690 0.4075 0.4570
## [631] 0.4535 0.4920 0.4590 0.4540 0.4865 0.5235 NA 0.3275 0.3330
## [640] 0.3255 0.3125 0.3270 0.3345 0.3210 0.2760 0.3190 0.2910 0.2625
## [649] 0.2795 0.2615 0.4390 0.4730 0.5010 0.4760 0.4805 0.4360 0.4205
## [658] 0.4310 0.4560 0.4365 0.4115 0.3705 0.3775 0.3555 0.3920 0.3975
## [667] 0.4530 0.3555 0.3845 0.3735 0.3940 0.4350 0.4265 0.4730 0.6275
## [676] 0.5365 0.5320 0.4625 0.5030 0.4790 0.4965 0.5415 0.5650 0.5140
## [685] 0.5710 0.4665 0.5280 0.5430 0.4880 0.4625 0.4895 0.4340 0.4205
## [694] 0.4245 0.3755 0.4365 0.4275 0.4515 0.4390 0.2560 0.2850 0.2900
## [703] 0.2940 0.2400 0.3010 0.3235 0.2515 0.2780 0.2495 NA NA
## [712] 0.3670 0.3950 0.4190 0.4255 0.3970 0.3995 0.3525 0.3550 0.3685
## [721] 0.3735 0.3340 0.3445 0.3580 0.4900 0.5000 0.5095 0.4700 0.5000
## [730] 0.4865 NA 0.4020 NA 0.4055 0.4095 0.4345 0.4605 0.4350
## [739] 0.4485 0.4580 0.4030 0.3855 0.4055 0.3695 0.4450 0.4320 0.4275
## [748] 0.6310 0.6355 0.5660 0.5510 0.7010 0.7000 0.6580 0.6745 0.6890
## [757] 0.7085 0.6950 0.6940 0.6900 0.7080 NA 0.4640 0.4600 0.4325
## [766] NA 0.4505 0.4405 0.4375 0.4495 0.4665 NA NA NA
## [775] 0.4245 0.3275 0.3670 0.3550 0.3845 0.3300 0.3625 0.3905 0.3735
## [784] 0.3785 0.4095 0.4140 0.3575 0.4045 0.4475 0.4830 0.4865 0.4375
## [793] 0.4445 0.3350 0.3210 0.2865 0.2765 0.2530 0.2235 0.1850 NA
## [802] 0.5435 0.5185 0.5475 0.5260 0.5160 0.5075 0.4995 0.4560 0.4485
## [811] 0.4785 0.4690 0.4125 0.4140 0.3495 NA 0.5175 0.4975 0.5650
## [820] 0.4305 0.4575 0.5105 0.4205 0.4275 0.4245 0.4110 0.4160 0.4335
## [829] 0.3920 0.3470 0.3745 0.3300 0.2955 0.3455 0.3570 0.3300 0.3705
## [838] 0.3910 0.3965 0.4710 0.4225 0.4550 0.4300 0.3765 0.3740 NA
## [847] 0.3595 0.3405 0.2650 0.3150 0.3410 NA 0.2515 0.2390 0.2495
## [856] 0.3180 0.2265 0.2130 0.1810 0.1750 NA 0.2760 0.2910 0.3320
## [865] NA NA NA NA NA NA NA NA NA
## [874] NA NA 0.2955 0.3095 0.3390 0.2980 0.3040 0.2835 0.3530
## [883] 0.2955 0.4045 0.3385 0.3330 0.3600 0.3630 0.3265 0.3025 0.4200
## [892] 0.4265 0.4485 0.5065 0.4685 0.4725 0.4885 0.5365 0.5105 0.5370
## [901] 0.5630 0.5440 0.5675 0.5520 0.5485 0.5190 0.4695 0.5845 0.5685
## [910] 0.4615 0.4885 0.5250 0.3935 0.5160 0.5330 0.5210 0.5955 0.5835
## [919] NA 0.0460 0.3410 0.2275 NA NA NA NA NA
## [928] NA NA NA 0.3695 0.4190 0.4115 0.3780 0.4270 0.3885
## [937] 0.4065 0.4075 0.6260 0.5290 0.4865 0.5085 0.5870 0.4415 0.5170
## [946] 0.5635 0.5290 0.5265 0.5230 NA 0.3325 0.3875 0.3405 0.4445
## [955] 0.3540 0.3785 0.3615 0.3810 0.4660 0.4285 0.3820 0.3805 0.3655
## [964] 0.3560 0.3220 0.2935 0.2975 0.3655 NA 0.4855 0.4810 0.5040
## [973] 0.5110 0.4585 0.4250 0.4585 0.4635 0.4810 0.4420 0.4185 0.4205
## [982] 0.4045 0.3405 0.3220 0.3260 0.3920 0.4455 0.4025 0.3900 0.4195
## [991] 0.4210 0.4670 0.4275 0.4590 0.4395 0.3795 NA NA 0.3270
## [1000] 0.2725 0.3065 0.3360 0.3420 0.3510 0.3380 0.3435 0.4080 0.3420
## [1009] 0.3495 0.3465 0.3350 0.3415 0.3080 0.3075 0.2660 0.3535 0.2795
## [1018] 0.2595 0.2470 0.2310 0.1235 0.2360 0.2135 0.1875 0.1870 0.1815
## [1027] 0.1725 NA 0.3370 0.4175 0.3995 0.4245 0.3840 0.4100 0.3975
## [1036] 0.4070 0.4460 0.3540 0.4380 0.4465 0.4325 0.4760 0.5275 0.4675
## [1045] 0.4425 0.4465 0.4450 0.3800 0.4195 0.3420 0.4705 0.4440 0.4640
## [1054] 0.4245 0.4380 0.4130 0.4320 0.5095 0.5420 0.5300 0.5105 0.4525
## [1063] NA 0.3445 0.4530 0.4135 0.3915 0.3125 0.3495 0.3510 0.3105
## [1072] 0.3660 0.3960 0.3970 0.3795 0.4040 NA NA NA NA
## [1081] NA 0.5370 0.5055 0.5205 0.4715 0.3870 0.3880 NA 0.2570
## [1090] 0.4115 0.4435 0.3910 0.3995 0.3430 0.2985 0.2675 0.3850 0.3335
## [1099] 0.3120 0.2995 0.3205 0.5190 0.5275 0.5150 0.4525 0.3560 0.3785
## [1108] 0.3675 NA 0.3260 0.3285 0.3440 0.3225 0.2995 0.2700 0.2250
## [1117] 0.2680 0.2780 0.3280 0.2995 0.3150 0.3340 0.3295 0.3810 0.3720
## [1126] 0.4350 0.4130 0.4205 0.4375 0.4525 0.4360 0.4060 0.4265 0.4610
## [1135] 0.4365 0.4225 0.3960 0.4415 0.4910 0.5150 0.5135 0.5410 0.5195
## [1144] 0.5320 0.5275 0.5365 0.4950 0.4920 0.4515 0.5110 0.4920 0.3405
## [1153] 0.3685 0.2755 0.2680 0.2815 0.2585 0.4325 0.3185 0.3810 0.3365
## [1162] 0.3590 0.3575 0.4525 0.3690 0.3285 0.3290 0.2805 0.3070 0.2400
## [1171] 0.3125 0.3045 0.2565 0.2870 0.3995 0.4640 0.4350 0.3475 0.3605
## [1180] 0.3260 0.3700 0.3775 0.6700 0.6635 0.6450 0.6605 0.6430 0.6345
## [1189] 0.5685 0.6215 0.5585 0.3690 0.3035 0.3205 0.3385 0.3525 0.3530
## [1198] NA 0.6040 0.5955 0.4970 0.5015 0.4625 0.4765 0.5140 0.4810
## [1207] 0.5255 0.4925 0.4520 0.4320 0.4395 NA 0.3945 0.3920 0.3740
## [1216] 0.3475 0.3610 0.4050 0.3940 0.3365 0.3360 0.3065 0.2660 0.2865
## [1225] 0.2160 0.2680 0.2870 0.3160 0.2875 0.2765 0.2880 0.2745 0.3105
## [1234] 0.2575 0.2720 0.2580 0.1635 0.1955 0.2040 0.4270 0.4830 0.4475
## [1243] 0.4320 0.4100 0.3700 0.3305 0.3375 0.4015 0.4025 0.3850 0.3415
## [1252] 0.3610 0.3255 0.4155 0.3460 0.3470 0.2370 0.2530 0.2470 0.3565
## [1261] 0.3170 0.2795 0.3355 0.3990 0.3740 0.3230 0.3775 0.4780 0.5270
## [1270] 0.5055 0.4900 0.4890 0.4830 0.4780 0.4455 0.4740 0.4795 0.4280
## [1279] 0.4525 0.5060 NA NA NA NA NA NA NA
## [1288] 0.4750 0.4010 0.3990 0.3890 0.4180 0.4430 0.4480 0.3885 0.4750
## [1297] 0.3985 0.4345 0.4735 0.5040 0.2530 0.2605 0.2575 0.2930 0.2780
## [1306] 0.2715 0.2430 0.1810 0.1910 0.1730 NA NA 0.4415 0.4740
## [1315] 0.4755 0.5760 0.4435 0.5035 0.4460 0.4085 0.4010 0.4440 0.3795
## [1324] 0.4340 0.4500 NA 0.3820 0.3415 0.3560 0.3175 0.3115 0.2885
## [1333] 0.3150 0.3285 0.3105 0.3415 0.3340 NA NA 0.4325 0.4990
## [1342] 0.4705 0.4515 0.4355 0.4245 0.3970 0.4160 0.4245 0.4015 0.3675
## [1351] 0.3355 0.3530 0.3350 0.4535 0.5310 0.4740 0.4420 0.4280 0.4735
## [1360] 0.4870 0.4745 0.3800 0.4275 0.3425 0.4065 0.4550 0.4120 0.4265
## [1369] 0.4145 0.4005 0.4105 0.3505 0.3940 0.4020 0.3710 0.3970 0.3660
## [1378] 0.3705 0.3640 0.3720 0.4520 0.4290 0.4500 0.4045 0.4225 0.4280
## [1387] 0.4120 0.3885 0.3860 0.3520 0.3605 0.2850 0.3090 0.3325 0.3140
## [1396] NA 0.4390 0.4855 0.4535 0.4205 0.4305 0.3895 0.4170 0.3585
## [1405] 0.3785 0.2585 0.2330 0.2325 0.3900 0.3505 0.3580 0.4210 0.3945
## [1414] 0.4310 0.4140 0.4075 0.3890 0.3485 0.3525 0.3095 0.3405 0.3145
## [1423] 0.2095 NA NA NA NA NA 0.3805 0.3855 0.4445
## [1432] 0.4120 0.4235 0.4115 0.4290 0.4105 0.4170 0.3830 0.3520 0.3665
## [1441] 0.3140 0.3245 0.3095 0.3355 0.3205 0.3280 0.3225 0.3225 0.3020
## [1450] 0.3710 0.3720 0.3585 0.3590 0.3660 0.3760 NA 0.1515 0.2045
## [1459] 0.0610 0.0345 0.0445 0.0275 0.0600 0.0920 0.1325 0.1105 0.1160
## [1468] NA NA 0.2430 0.1675 NA NA NA NA NA
## [1477] NA NA NA NA NA NA 0.3770 0.4125 0.4245
## [1486] 0.4410 0.3870 0.3550 0.4080 0.3925 0.3275 0.3270 0.3540 0.3905
## [1495] 0.3655 0.3885 0.3700 0.3915 0.3975 0.3960 0.4110 0.4040 0.4920
## [1504] 0.3985 0.4110 0.3870 0.3820 0.3865 0.4865 0.4685 0.5390 0.5365
## [1513] 0.4610 0.4300 0.3925 0.4100 0.4375 0.4845 0.4635 0.4755 0.4740
## [1522] NA 0.1785 0.0560 -0.0200 0.0210 -0.0250 0.1785 0.1435 0.1245
## [1531] 0.0950 0.1490 0.0155 0.0485 0.4480 0.4030 0.4585 0.4395 0.4320
## [1540] 0.3940 0.4000 0.4280 0.4325 0.3715 0.3985 0.4130 0.3755 0.3925
## [1549] 0.4370 0.4340 0.4355 0.4770 0.4805 0.4500 0.3915 0.4020 0.3600
## [1558] 0.3415 0.3580 NA NA NA NA NA NA NA
## [1567] NA 0.3505 0.3855 0.3750 0.2945 0.3325 0.3375 0.3615 0.3515
## [1576] 0.3630 0.3715 0.3680 0.3955 0.3430 0.4485 0.3735 0.3720 0.3345
## [1585] 0.3455 0.3595 0.3895 NA 0.3910 0.3955 0.4025 0.4440 0.4325
## [1594] 0.3540 0.3315 0.2795 NA NA NA NA NA 0.3455
## [1603] 0.2665 0.3355 0.3510 0.3620 0.3925 0.4075 0.4130 0.3750 0.3855
## [1612] 0.3795 0.3510 0.3405 0.3045 0.4500 0.4785 0.5120 0.4980 0.5140
## [1621] 0.4525 0.4920 0.5550 0.5450 0.5890 0.4690 0.4810 0.4570 0.3890
## [1630] 0.3485 0.3195 0.3390 0.3655 0.3370 0.4250 0.2570 0.2665 NA
## [1639] 0.2175 0.2195 0.2565 0.1970 0.2150 0.1930 0.2415 0.2260 0.2215
## [1648] 0.1960 0.2045 0.1700 0.1705 0.1470 0.3490 0.2335 0.2310 0.1715
## [1657] 0.1595 0.1950 0.2480 0.2010 0.1650 0.1080 0.4010 0.3850 0.3755
## [1666] 0.4360 0.4945 0.4440 0.3650 0.4080 0.3840 0.4130 0.3950 0.4125
## [1675] 0.4215 0.4790 0.4380 0.3810 0.3365 NA NA NA 0.3400
## [1684] 0.3295 0.3705 0.3965 0.3705 0.2765 0.3220 0.4135 0.3500 0.3820
## [1693] 0.3210 0.4210 0.2565 0.2225 0.2550 0.3110 0.3470 0.5930 0.6055
## [1702] 0.5025 0.3850 0.5500 0.4565 0.4940 0.5275 0.4590 0.3850 0.3825
## [1711] 0.3445 0.4080 0.6330 0.6445 0.6790 0.7145 0.7265 0.6615 0.6445
## [1720] 0.6905 0.7365 0.6150 0.6170 0.5480 0.5830 0.5930 0.5955 0.4215
## [1729] 0.4385 0.3810 0.3550 0.3320 0.4040 0.3420 0.4010 0.4010 0.5290
## [1738] 0.5230 0.4890 0.5380 0.4630 0.3015 0.2985 0.3570 0.3615 0.3395
## [1747] 0.2755 0.2945 0.3230 0.3250 0.3245 0.3400 0.3375 NA 0.3110
## [1756] 0.2980 0.3130 0.3120 0.2035 0.2430 0.2345 0.3700 0.3950 0.3495
## [1765] 0.2170 0.3145 0.3120 0.3315 NA NA NA NA NA
## [1774] NA NA NA NA NA 0.3830 0.4400 0.3965 0.4015
## [1783] 0.4200 0.4310 0.4595 0.4365 0.4535 0.5040 0.4715 0.4380 0.4675
## [1792] 0.4825 0.5125 0.3360 0.3635 0.3320 0.3605 0.3825 0.3525 0.3365
## [1801] 0.3605 0.5055 0.4595 0.4510 0.4675 0.4345 0.4020 0.5360 0.0850
## [1810] 0.1790 0.2060 NA NA NA NA NA NA NA
## [1819] NA NA NA NA 0.4170 0.4395 0.4500 0.4950 0.3870
## [1828] 0.3980 0.4570 0.4195 0.3780 0.3540 0.3550 0.3150 0.3780 0.3465
## [1837] NA 0.4150 0.4615 0.4330 0.4670 0.4290 0.4625 0.5105 0.4615
## [1846] 0.4585 0.4415 0.4390 0.4130 0.4255 0.3560 0.1820 0.2245 0.2270
## [1855] 0.2130 0.1565 0.2380 0.3410 0.2715 0.2300 0.3205 0.3020 0.2680
## [1864] 0.2930 0.2520 0.2035 0.2470 NA 0.3115 0.2445 0.2820 0.2130
## [1873] 0.2000 0.2985 0.4230 NA 0.2940 0.4190 0.4075 NA 0.3075
## [1882] 0.2755 0.3560 0.2995 0.2730 0.2750 0.3085 0.3140 0.3480 0.3675
## [1891] 0.3375 NA NA NA NA 0.4215 0.4950 0.3880 0.3685
## [1900] 0.4235 0.3525 0.3720 NA NA 0.3545 NA 0.3835 0.3310
## [1909] NA 0.3900 0.3745 0.2905 0.3110 0.3530 0.3640 0.3450 NA
## [1918] NA NA NA 0.3895 0.4405 0.4730 0.4105 0.4425 0.4070
## [1927] 0.3140 0.3990 0.4160 0.4465 0.4400 0.4295 0.4545 0.4330 0.4145
## [1936] 0.4320 0.4370 0.4265 0.3675 0.3710 0.3780 0.3635 0.3730 0.3435
## [1945] 0.3145 0.3265 0.3880 0.3835 0.3900rowMeans(z)## [1] 25.7590 25.9395 26.1000 26.2080 26.3855 26.5690 26.6945 26.7945 26.7615
## [10] 26.6135 26.4870 26.3970 33.1645 33.3625 33.4845 33.5835 33.7810 33.9360
## [19] 34.1275 34.2520 34.4150 34.5750 34.7620 34.8885 35.0270 32.5465 32.5950
## [28] 32.7035 NA NA 33.0685 33.2415 33.2425 26.5420 26.8280 27.1550
## [37] 27.4875 33.7765 33.7965 33.8690 33.9085 34.0150 34.1480 34.2035 34.2885
## [46] 34.3825 34.5405 34.6240 34.7160 34.8230 34.9085 35.0115 32.6600 32.7525
## [55] 32.7310 32.7705 32.8295 32.9125 33.0110 33.0920 33.1730 33.2755 33.4555
## [64] 33.6070 33.8540 34.0220 36.1675 36.3055 36.3980 36.5660 36.6225 36.6675
## [73] 36.7165 36.7615 36.8110 36.9610 37.1055 37.2580 37.4090 37.5525 35.8505
## [82] 35.9795 36.1480 36.2395 36.3000 36.3710 36.4225 36.5000 36.6445 36.7950
## [91] 36.9520 37.1015 37.2560 31.3260 31.3910 31.6205 31.7590 31.9505 32.0885
## [100] 32.2395 32.3960 32.5465 32.6820 32.8065 32.9655 33.1360 33.3270 33.4180
## [109] 33.5810 33.7250 33.7710 33.9745 NA 34.2750 34.4945 34.7030 35.1035
## [118] 35.3225 29.8160 30.0225 30.2330 30.4555 30.6795 30.9790 31.1040 31.3510
## [127] 31.5580 31.8075 32.0875 32.3480 32.6005 32.8510 33.0385 30.9035 31.0335
## [136] 31.1700 31.3395 31.5000 31.7680 32.0525 32.3815 32.6335 32.9115 33.0790
## [145] 33.2105 33.3720 33.5285 35.4120 35.5805 35.6635 35.8035 35.9000 35.9475
## [154] 36.0255 36.0705 36.1345 36.2330 36.3285 36.4040 36.4880 36.5835 31.1525
## [163] 31.5470 25.3400 25.8045 26.3765 26.5145 26.6615 26.7980 26.9165 27.1400
## [172] 27.3135 27.5065 27.7350 27.9415 30.2050 30.3670 30.5150 29.8850 30.1400
## [181] 30.3630 30.6395 30.8515 31.0610 31.2710 31.4330 31.6205 31.7920 31.9410
## [190] 32.0920 32.2315 32.3905 32.5385 33.1910 33.3690 33.5325 33.5365 33.6000
## [199] 33.6050 33.6360 33.7655 33.9165 34.0320 34.2295 34.4110 34.5700 23.8220
## [208] 25.3590 26.8630 27.2465 27.6295 28.0035 28.4055 28.8285 29.1760 29.5085
## [217] 29.8590 30.2165 32.0910 32.2785 32.4010 32.5135 32.6530 32.7970 32.9345
## [226] 33.0325 33.1270 33.2995 33.4035 33.4825 33.5755 33.7150 33.7930 32.8330
## [235] 33.1225 33.2320 33.2705 33.3015 33.3380 33.4185 33.5500 33.6445 33.7620
## [244] 33.9110 34.0090 23.6240 24.0010 24.3960 25.1435 25.4825 25.7010 26.0305
## [253] 26.2850 26.5295 26.7725 27.0070 27.3105 27.5390 24.6400 25.0435 25.5850
## [262] 26.1255 27.0230 NA 28.4595 28.9070 29.3185 29.7200 29.9035 30.1080
## [271] 30.2905 30.4790 30.6780 30.8790 31.0820 31.2790 31.4785 31.6815 23.3165
## [280] 23.6020 23.8600 24.2090 24.5460 24.7585 24.9330 25.1470 25.3475 25.5455
## [289] 25.9065 26.3335 26.7580 27.1060 27.4875 36.1285 36.2950 36.3830 36.4675
## [298] 36.5670 36.6555 36.7190 36.7980 36.8895 36.9655 37.0560 37.1725 37.2730
## [307] 37.3560 37.4435 20.7815 21.6950 21.9300 22.7620 22.9225 21.7430 21.9775
## [316] 22.3335 22.5105 22.8025 22.9800 23.1515 23.2740 23.4735 23.5870 23.8625
## [325] 24.1575 24.4250 24.6185 34.7020 34.6910 34.7100 34.7935 34.8430 34.8705
## [334] 34.9570 35.0285 35.0965 35.1845 35.1760 35.2950 35.3445 35.3295 35.4405
## [343] NA NA 34.0465 34.0955 34.2025 34.2920 34.3640 34.4425 NA
## [352] NA NA 34.9390 35.0975 35.2635 35.3955 33.0125 33.0630 33.1275
## [361] 33.1685 33.2580 33.3655 33.4840 33.6005 33.6905 33.7955 33.9675 34.1190
## [370] 34.2755 34.4110 34.5700 27.4340 27.6145 27.7600 27.9370 28.8800 29.0190
## [379] 26.3630 27.6625 27.8665 28.0330 28.1910 28.4750 28.7430 29.0390 29.2995
## [388] 29.5930 24.9480 25.4855 25.6685 25.8500 26.1080 26.3370 26.5685 26.8020
## [397] 35.4110 35.4015 35.3660 35.3230 35.2905 35.4130 35.5145 35.5990 35.7135
## [406] 35.8035 35.8865 36.0180 36.1210 36.2135 33.8910 34.0945 34.2320 34.2585
## [415] 34.3210 34.4135 34.4095 34.5470 34.8360 35.1580 35.4455 35.7695 36.1185
## [424] 34.3605 36.1380 36.4675 36.5775 36.6425 36.7025 36.7380 36.8375 36.8640
## [433] 37.0280 37.1560 37.2470 37.3200 37.4315 33.9325 34.1195 34.4395 34.5135
## [442] 34.5600 34.6230 34.7300 34.8040 35.0750 35.3160 35.5450 36.1030 35.2855
## [451] 35.4260 35.5250 35.5945 35.6720 35.7775 35.8865 35.9900 36.1110 36.2205
## [460] 36.3740 36.5275 36.6675 36.8315 36.9690 27.0165 27.2145 27.5320 27.7230
## [469] 31.7690 31.9230 32.0440 32.1915 32.3120 32.4340 32.5400 32.6745 32.7925
## [478] 32.8780 33.0365 33.1775 33.3335 33.4885 33.6175 33.3755 33.4650 33.5400
## [487] 33.6785 33.7615 33.8740 33.9725 34.0335 34.0795 34.2005 34.3730 34.5395
## [496] 34.6845 34.8150 34.9645 30.2585 30.2145 NA 30.2755 30.2430 30.3750
## [505] 30.3860 30.4770 30.6090 30.7295 30.8780 30.9965 31.1910 31.3870 31.5350
## [514] 31.8015 31.9395 32.0980 32.2755 32.4345 32.5735 32.6415 32.7580 32.8890
## [523] 32.9665 33.1500 33.2790 33.4815 33.6385 33.8120 32.8045 33.0160 33.2110
## [532] 33.4255 33.8475 33.9585 34.1170 34.2565 34.4075 34.5215 34.6310 34.7430
## [541] 34.8435 34.9770 27.9880 28.2535 28.5470 28.9015 29.1220 29.3585 29.6200
## [550] 29.8770 30.1345 35.3645 35.5070 35.6580 35.7880 35.9005 36.0195 36.1465
## [559] 36.2650 36.3240 36.3810 36.4190 36.4740 36.5310 36.0975 36.1345 36.3365
## [568] 36.4090 36.5250 36.6515 36.7205 36.8390 36.9015 37.0085 37.0935 37.2170
## [577] 37.3080 37.4135 37.5115 28.1260 28.3630 28.7610 29.0635 29.4355 29.6995
## [586] 29.9260 30.2095 30.4680 27.7560 27.8595 27.9885 32.8365 32.7520 32.7870
## [595] 32.6875 32.6790 32.7460 32.7895 32.8510 32.8800 32.8700 32.7530 32.7605
## [604] 32.6375 32.5555 32.4320 35.5235 35.6405 35.6930 35.8020 35.8715 35.9430
## [613] 35.9820 36.0170 36.0595 36.0945 36.2355 36.3705 36.5385 36.6925 36.8320
## [622] 26.5945 26.8355 27.0290 27.2085 27.4955 27.6660 27.7695 28.0170 28.1485
## [631] 28.4260 28.5755 28.7915 29.0085 29.1935 29.4120 35.6170 35.7375 35.8715
## [640] 35.9920 36.0440 35.9965 36.0530 36.0545 36.1660 36.2410 36.3190 36.4820
## [649] 36.6070 36.6825 30.7015 30.8540 31.0250 31.2015 31.3980 31.6115 31.8425
## [658] 32.0320 32.1915 32.3845 32.5315 32.7075 32.8550 33.0005 25.5085 25.5430
## [667] 25.6765 25.7820 25.8830 26.4630 27.0190 27.5655 28.0955 28.9770 24.4545
## [676] 20.4225 16.3365 18.6365 20.9510 23.2950 25.5245 27.7490 27.8020 27.9920
## [685] 28.1455 32.5950 32.7280 32.8535 32.9605 33.0730 33.2515 33.3200 33.4290
## [694] 33.5380 33.5670 33.8250 33.9490 34.0360 34.1230 NA NA NA
## [703] NA NA NA NA NA NA NA NA 32.6485
## [712] 32.7690 32.9320 33.0570 33.1955 33.2445 33.3770 33.3670 33.4790 33.6770
## [721] 33.9305 34.1465 34.3990 34.5855 36.6025 36.8325 36.8815 36.9700 36.9760
## [730] 36.9695 36.9795 36.9745 28.2470 28.4345 28.6580 28.8295 29.0915 29.2690
## [739] 29.3045 29.5200 29.7045 29.8385 30.0600 30.2930 30.4950 30.6880 30.9030
## [748] 30.2765 30.2915 30.3580 30.5220 30.5500 30.7490 30.8050 30.9205 30.9995
## [757] 31.1395 31.2650 31.3825 31.4895 31.5830 31.3255 31.6465 31.8705 32.4690
## [766] 32.5720 32.6750 32.8135 32.9400 33.0865 33.2155 33.3015 33.4615 33.6000
## [775] 29.3530 29.6955 30.0095 29.8535 29.7175 NA 29.6430 29.4995 29.8330
## [784] 30.1140 30.3990 31.0500 35.5415 35.8570 35.9975 36.1780 36.2760 36.3010
## [793] 36.3420 36.4110 36.4460 36.4875 36.5525 36.5805 36.6460 36.6910 35.9685
## [802] 36.0615 36.2115 36.3365 36.4805 36.5910 36.6005 36.6595 36.6735 36.7265
## [811] 36.8360 36.9340 37.0125 37.1670 37.2655 36.3510 36.4720 36.4915 36.6605
## [820] 36.7690 36.7040 36.7250 36.7095 36.7920 36.7875 36.9120 37.0165 37.1250
## [829] 37.2545 37.3590 23.2700 23.9195 24.0905 24.2500 24.5345 24.8160 25.1065
## [838] 25.4180 25.7350 32.8190 33.5080 33.6265 33.6945 33.9805 34.1955 37.0340
## [847] 37.1180 37.1660 37.2050 37.2860 37.3970 37.4565 37.5805 37.6790 37.7660
## [856] 37.8180 37.8745 37.8865 37.9530 38.0030 NA 32.3130 NA 32.6155
## [865] 32.7440 32.8800 32.9965 33.1460 33.3145 33.4835 33.5855 33.6830 33.7810
## [874] 33.8630 33.9895 29.4655 29.7530 29.9635 30.2780 30.4925 30.7990 31.0400
## [883] 31.2710 31.5395 31.7700 32.0915 32.3725 32.7200 33.0260 33.3360 25.4180
## [892] 26.1450 26.7400 27.3820 28.0675 28.3845 28.6240 28.9440 29.2795 29.5465
## [901] 29.8245 30.1765 30.4605 30.7590 31.0010 NA NA NA NA
## [910] NA NA NA NA NA NA NA NA NA
## [919] NA 32.3645 32.6295 32.6515 32.8345 33.0670 33.1255 NA 33.4610
## [928] 33.5705 33.6920 33.8835 30.3290 30.4720 30.6295 30.7595 30.9100 31.1340
## [937] 31.3215 31.5575 31.7580 32.0065 32.1570 32.3295 32.5225 32.6600 32.8175
## [946] 27.4225 27.6535 27.9230 28.5910 NA 29.5955 29.8035 30.0030 30.2075
## [955] 31.9005 32.1100 32.2550 32.3385 32.7120 32.8420 33.0055 33.1555 33.2780
## [964] 33.4425 33.6000 33.7040 33.8990 34.1100 32.6515 32.6950 32.7420 32.8725
## [973] 32.9390 32.9685 32.9905 33.0475 33.0885 33.0985 33.3785 33.6025 33.8535
## [982] 34.0235 23.1790 23.6645 24.0285 24.7080 24.9650 25.3420 26.2095 26.9350
## [991] 27.1855 27.6315 28.0165 28.4330 28.8030 31.6860 31.5375 31.5610 31.5395
## [1000] 31.5405 31.5310 31.8535 32.0350 32.2205 32.3280 32.5095 32.6330 32.7015
## [1009] 32.8280 32.9040 33.0705 33.3570 33.7245 33.9995 34.3400 34.6620 36.1895
## [1018] 36.3040 36.4210 36.4885 36.5150 36.6790 36.7660 36.7410 36.7515 36.7420
## [1027] 36.7650 NA 27.6260 28.3830 28.5635 28.7700 29.0045 29.2225 29.4350
## [1036] 29.6350 29.8255 30.0250 22.8235 23.5850 24.9495 26.0765 26.5385 27.1060
## [1045] 27.6330 28.1505 28.5050 28.8740 29.1995 29.5325 32.8985 32.9820 33.0300
## [1054] 33.1570 33.1845 33.3000 33.3840 33.4355 33.5240 33.5375 33.9375 34.0580
## [1063] 35.7275 23.2375 23.8275 24.2070 24.5745 24.7915 24.9120 25.0725 25.2460
## [1072] 25.4170 25.6980 25.9765 26.2185 26.4350 36.0915 36.2010 36.3010 36.3505
## [1081] 36.4345 36.4920 36.5560 36.5580 36.5620 36.5635 36.5620 36.5655 27.1165
## [1090] 27.2665 27.4775 27.5845 27.6935 27.8135 28.0315 28.1240 28.2735 28.4335
## [1099] 28.6135 28.7335 28.9640 32.7740 33.0620 33.3095 33.5060 33.6335 33.7965
## [1108] 33.9215 33.5070 33.4950 33.5285 33.5610 33.6390 33.7555 33.8240 33.8895
## [1117] 33.9995 34.0595 34.2260 34.4305 34.5580 34.7515 34.8865 30.5670 30.7280
## [1126] 30.7905 30.8355 30.9490 31.1240 31.2710 31.4590 31.6015 31.7475 32.0785
## [1135] 32.4265 32.9120 33.2420 33.6295 29.8005 29.8820 30.4155 30.6000 30.7440
## [1144] 30.9240 31.0760 31.1930 31.3300 31.3875 31.4980 31.6055 31.7090 33.3560
## [1153] 33.6780 33.8260 33.9030 33.9410 34.0410 34.1215 34.2415 34.3345 34.4630
## [1162] 34.5630 34.6970 34.8510 32.0815 32.1895 32.4285 32.4860 32.8565 33.0585
## [1171] 33.2070 33.3365 33.4785 33.6595 22.7420 23.0715 23.3570 24.4795 26.0065
## [1180] 27.0115 27.5485 28.0350 28.8555 29.0775 NA 29.4540 29.6385 29.7930
## [1189] 29.9530 30.0995 30.2125 25.2305 28.0045 28.5050 28.6270 28.7695 28.8830
## [1198] 28.9445 29.0565 29.4090 29.6580 29.8595 29.9625 30.1190 30.2610 30.3560
## [1207] 30.4815 31.0695 31.6225 32.1350 32.6950 35.6505 35.8480 35.9415 36.1605
## [1216] 36.2225 36.2585 36.3395 36.3950 36.4520 36.5035 36.5600 36.6100 36.6430
## [1225] 36.7175 36.0660 36.1390 36.2465 36.4590 36.5275 36.5710 36.6520 36.7060
## [1234] 36.7710 36.8635 36.9710 37.0745 37.1560 37.2590 32.4425 32.6580 32.8055
## [1243] 32.9530 33.1460 33.2495 33.3950 33.5095 33.5985 33.7045 33.8085 34.0610
## [1252] 34.1485 34.3415 23.5550 23.8520 24.2645 24.7600 25.1085 25.3500 25.5870
## [1261] 25.8925 26.0840 26.3640 26.6010 26.8420 27.1455 27.4155 22.3845 22.6375
## [1270] 22.8720 23.1085 23.3825 23.8860 24.1010 24.5900 24.8490 25.0630 25.2450
## [1279] 25.4145 25.6065 NA NA NA NA NA NA NA
## [1288] 32.2670 32.4505 32.5075 32.6340 32.7120 32.7915 32.8490 32.9025 32.9655
## [1297] 33.0275 33.0670 33.0995 33.1735 36.1400 36.2535 36.5935 36.8180 36.9240
## [1306] 36.9770 37.0265 37.0800 37.1270 37.1825 33.2080 27.4150 27.6980 27.8675
## [1315] 28.0940 28.2820 28.3980 28.5035 28.6540 28.8115 28.9435 29.1670 29.4065
## [1324] 29.6365 29.7925 31.1635 31.1310 31.1865 31.3000 31.3770 NA NA
## [1333] NA NA NA NA NA NA NA 34.3910 34.3200
## [1342] 34.4035 34.4605 34.5275 34.6645 34.7415 34.8555 34.9970 35.0735 35.1420
## [1351] 35.2000 35.2305 35.2915 32.1555 32.2695 32.3545 32.4990 32.6130 32.6430
## [1360] 32.7440 32.8845 32.8695 32.9530 33.0770 33.1955 33.3880 33.0040 33.1090
## [1369] 33.2290 33.3490 33.5285 33.6265 33.6815 33.7715 33.8710 34.0010 34.1650
## [1378] 34.3135 34.4650 34.6075 30.3140 30.4260 30.5305 30.6370 30.7465 30.8415
## [1387] 30.9570 31.0535 31.1510 31.2560 31.3040 31.3630 31.4090 31.4550 31.5160
## [1396] 33.5410 33.7360 33.9605 34.0475 34.1640 34.2155 34.2780 34.4075 34.4465
## [1405] 34.6855 34.8655 35.0850 35.2915 35.4335 35.3610 35.4830 35.7605 35.9375
## [1414] 35.9870 36.0940 36.2235 36.3000 36.4190 36.5525 36.6385 36.7410 36.8565
## [1423] 33.7225 NA 33.9625 34.1320 NA 32.4000 32.5830 32.7830 32.8830
## [1432] 33.0350 33.1425 33.2575 33.4170 33.5480 33.7110 33.8695 34.0225 34.1740
## [1441] 29.6615 29.9265 30.2415 30.5185 30.8065 31.0230 31.2245 31.4605 31.7120
## [1450] 31.8925 32.1070 32.3155 32.5145 32.7075 32.9070 25.3975 26.8960 27.6930
## [1459] 28.8245 29.1375 29.4820 29.7870 30.1040 30.4055 30.7040 31.0120 31.2845
## [1468] NA 32.2410 32.2860 32.4295 32.5390 32.6015 32.6800 32.8305 32.9810
## [1477] 33.1100 33.2370 33.4070 33.5775 33.7455 33.8920 27.0580 27.3790 27.6760
## [1486] 27.9885 28.4385 28.6005 28.8440 29.0580 29.3160 29.5600 29.7720 29.9435
## [1495] 30.1145 30.3795 33.0265 33.1865 33.3315 33.4000 33.4905 33.6065 33.6860
## [1504] 33.7730 34.0070 34.2425 34.4700 34.6765 34.9215 20.4895 20.9600 21.4080
## [1513] 22.3130 22.5450 22.9400 23.1305 23.3120 24.1405 24.9555 25.7580 26.5590
## [1522] 37.1785 37.3835 37.4305 37.6380 37.8230 37.9210 38.1435 38.2575 38.3935
## [1531] 38.5520 38.7130 38.8580 39.0190 33.2710 33.7180 33.8835 33.9500 34.0590
## [1540] 34.1975 34.2935 34.5000 34.6570 34.8290 34.9855 35.1310 34.4680 34.8980
## [1549] 35.0480 35.1535 35.2520 35.3450 35.4440 35.5480 35.7020 35.8605 36.0210
## [1558] 36.1725 36.3290 25.2370 25.5340 25.4585 NA NA NA NA
## [1567] 24.3345 24.6650 25.0045 25.3095 25.6195 26.1475 26.5050 27.0470 27.5670
## [1576] 28.0810 28.2370 28.4435 28.6265 28.8190 29.0285 35.4575 35.5780 35.6620
## [1585] 35.8500 36.0385 36.1710 36.2690 36.4110 36.5315 36.6580 36.7955 36.9190
## [1594] 37.1000 37.3030 37.4555 25.2035 25.3560 25.5200 25.7280 36.2080 36.4210
## [1603] 36.5870 36.6845 36.8480 36.9195 36.9475 37.0095 37.0590 37.1160 37.2840
## [1612] 37.4280 37.5610 37.7390 37.8915 33.2520 33.2980 33.3870 33.4095 33.4190
## [1621] 33.5115 33.5500 33.6170 33.6840 33.7510 33.9135 34.0295 34.1120 27.2050
## [1630] 27.3240 27.4315 27.4860 27.7550 31.5625 20.7075 25.5315 25.9335 36.0820
## [1639] 36.1950 36.2660 36.3120 36.4025 36.4605 36.5020 36.5380 36.5825 36.6175
## [1648] 36.6590 36.7175 36.7710 36.8210 36.8755 36.2295 36.5755 36.8625 37.0045
## [1657] 37.0640 37.2170 37.3625 37.5130 37.6565 37.8085 32.2805 32.3740 32.3735
## [1666] 31.4250 30.5035 29.6075 27.8240 34.6550 34.8910 35.1385 NA NA
## [1675] NA NA NA NA NA NA NA NA 30.6710
## [1684] 30.9490 31.1680 31.3520 31.5920 31.6680 31.7345 31.7865 31.9465 32.0235
## [1693] 32.1015 32.3160 NA NA NA 24.7435 25.1580 25.5310 26.0035
## [1702] 26.4485 26.8880 27.1785 27.5870 27.9570 28.3795 28.6375 28.9000 29.1535
## [1711] 29.4250 29.6650 32.5015 32.6750 32.8440 33.0140 33.1800 33.3235 33.3935
## [1720] 33.4705 33.6400 33.7425 33.8620 33.9615 34.0525 34.1490 34.2200 24.9440
## [1729] 25.2335 26.0820 26.8415 27.1360 27.3150 27.5085 27.6560 27.8585 31.3000
## [1738] 31.4590 31.6575 31.8335 32.1795 32.8705 32.8620 32.9415 33.0140 33.0880
## [1747] 33.2045 33.3555 33.4570 33.5390 33.7750 33.9295 34.0840 31.6115 31.8895
## [1756] 32.0475 32.2480 32.4575 32.5430 32.6755 32.8305 33.0045 33.1265 33.3220
## [1765] 33.5220 33.6645 33.9155 34.0550 NA NA 30.5330 30.6125 30.7825
## [1774] 30.8505 31.0745 31.2600 31.5290 31.7460 23.6135 24.0840 24.5090 25.0900
## [1783] 25.6005 25.9765 26.3445 26.8115 27.2570 27.6290 27.8195 28.0360 28.2145
## [1792] 28.4020 28.5935 30.3720 30.5670 30.8235 31.0700 31.3420 31.5395 31.6820
## [1801] 31.8345 31.9665 32.0655 32.2515 32.4495 32.6315 32.8075 32.9920 33.4090
## [1810] 33.5645 33.6390 33.6545 33.6800 33.6980 NA 33.7075 33.8245 33.9310
## [1819] 34.0220 34.1055 34.2210 35.4110 35.6490 35.7495 35.9180 36.0705 36.1400
## [1828] 36.1745 36.2225 36.2385 36.2665 36.3605 36.4565 36.5690 36.6770 36.7925
## [1837] 34.4855 34.5460 34.6290 34.6855 34.7640 34.7715 34.7415 34.7160 34.7430
## [1846] 34.7245 34.6290 34.6340 34.5625 34.5180 34.4750 34.1235 34.1830 34.2640
## [1855] 34.3425 34.4160 34.4955 34.5755 34.6540 34.7320 34.8085 34.8430 34.8990
## [1864] 34.9380 35.0015 35.0540 31.1120 31.5755 NA NA 32.1670 32.2570
## [1873] 32.3750 32.4770 32.5900 32.7420 32.8925 33.0350 33.1850 33.1190 33.1290
## [1882] 33.1290 33.1585 33.2340 33.2530 33.2920 33.2310 33.2150 33.2060 33.2790
## [1891] 33.4680 33.5555 33.6630 33.7560 33.3730 33.4690 33.5345 33.5870 33.6655
## [1900] 33.7390 33.8380 33.9500 NA NA 34.1970 NA 34.4045 34.5260
## [1909] 27.0365 27.3220 27.4795 27.4690 27.5030 27.4215 27.4820 27.4550 27.8165
## [1918] 28.2475 28.6265 29.0755 22.4905 23.2010 23.9485 24.6680 25.7515 26.1840
## [1927] 26.5450 26.9360 27.2795 27.5560 27.8115 28.0455 28.3055 28.5250 21.0055
## [1936] 21.6580 22.2420 22.9155 23.6825 24.3765 25.0050 25.7680 26.5110 27.2335
## [1945] 27.5665 27.8765 28.1815 28.4160 28.7215apply(df1[ , 10:11], 2, mean)## Positive.affect Negative.affect
## 0.7019887 0.2663397apply(df1[ , 8:9], 2, mean)## Generosity Perceptions.of.corruption
## 9.851206e-05 7.049579e-01apply(df1[ , 6:7], 2, mean)## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices
## 61.5713976 0.7303658apply(df1[ , 10:11], 1, mean)## [1] 0.3880 0.4105 0.4465 0.4390 0.4890 0.4470 0.4535 0.4465 0.4565 0.4335
## [11] 0.4145 0.4265 0.3995 0.4595 0.4740 0.4425 0.4390 0.4860 0.5100 0.5190
## [21] 0.4985 0.5015 0.5160 0.4775 0.4720 0.0000 0.4025 0.4170 0.4015 0.5190
## [31] 0.4655 0.4420 0.4000 0.5100 0.4315 0.5145 0.4735 0.5765 0.5535 0.5705
## [41] 0.5505 0.5285 0.5360 0.5645 0.5480 0.5475 0.5820 0.5770 0.5505 0.5705
## [51] 0.5725 0.5530 0.4815 0.4595 0.4530 0.4770 0.4680 0.4670 0.4910 0.5060
## [61] 0.4925 0.5160 0.5155 0.5310 0.5180 0.5140 0.5405 0.5205 0.5220 0.5270
## [71] 0.5055 0.5125 0.4980 0.5100 0.5000 0.5135 0.5025 0.4730 0.4860 0.4870
## [81] 0.4985 0.5025 0.4855 0.4670 0.4895 0.4750 0.4750 0.4810 0.4765 0.4640
## [91] 0.4890 0.4895 0.4875 0.3940 0.4025 0.4025 0.3890 0.3995 0.3970 0.4100
## [101] 0.4305 0.4090 0.4065 0.3945 0.3950 0.3920 0.4035 0.5930 0.5540 0.5290
## [111] 0.4850 0.5370 0.0000 0.5095 0.5350 0.5520 0.5395 0.5435 0.4605 0.4740
## [121] 0.4785 0.4465 0.4605 0.4600 0.4485 0.4325 0.1155 0.4305 0.3975 0.3915
## [131] 0.4510 0.4530 0.4570 0.4370 0.4155 0.1230 0.3945 0.3875 0.3850 0.3520
## [141] 0.4075 0.4140 0.3840 0.3680 0.3870 0.3430 0.3905 0.5280 0.5155 0.5275
## [151] 0.5340 0.5300 0.5290 0.5070 0.5250 0.5225 0.5125 0.5100 0.5000 0.4885
## [161] 0.4535 0.5050 0.5185 0.4480 0.4435 0.4225 0.4070 0.4590 0.4315 0.4825
## [171] 0.5320 0.5365 0.5575 0.5500 0.4570 0.4980 0.5915 0.5610 0.5855 0.5795
## [181] 0.5865 0.5845 0.5580 0.5610 0.5955 0.5845 0.6035 0.5895 0.5795 0.5660
## [191] 0.5645 0.5850 0.5860 0.4545 0.4810 0.4630 0.4610 0.4430 0.4295 0.3965
## [201] 0.4100 0.4725 0.4340 0.4600 0.4355 0.4845 0.4570 0.4745 0.4310 0.4495
## [211] 0.4720 0.4710 0.4595 0.5035 0.4690 0.4660 0.4985 0.4925 0.5600 0.5790
## [221] 0.5425 0.5535 0.5335 0.5375 0.5525 0.5470 0.5310 0.5400 0.5325 0.5120
## [231] 0.5500 0.5490 0.5405 0.4100 0.3920 0.4025 0.4050 0.4505 0.4320 0.4285
## [241] 0.3970 0.4015 0.4140 0.4315 0.4635 0.4910 0.4660 0.4135 0.4035 0.3920
## [251] 0.4225 0.4585 0.4350 0.4690 0.4765 0.4695 0.5270 0.5280 0.3465 0.4025
## [261] 0.4395 0.4535 0.5145 0.5300 0.1600 0.5370 0.4920 0.5980 0.5535 0.5860
## [271] 0.6160 0.6325 0.6060 0.6185 0.6035 0.6295 0.6170 0.6340 0.4385 0.4420
## [281] 0.4560 0.4215 0.4400 0.4350 0.4510 0.4745 0.4195 0.4985 0.5145 0.5045
## [291] 0.4990 0.4775 0.5080 0.5360 0.5645 0.5460 0.5575 0.5560 0.5645 0.5430
## [301] 0.5570 0.5460 0.5655 0.5310 0.5405 0.5415 0.5535 0.5515 0.4490 0.3900
## [311] 0.4005 0.5365 0.6065 0.4215 0.4295 0.3970 0.3890 0.4160 0.4400 0.4215
## [321] 0.3880 0.4325 0.4825 0.5250 0.5830 0.5485 0.5235 0.5760 0.5545 0.5435
## [331] 0.5540 0.5545 0.5605 0.5515 0.5700 0.5730 0.5680 0.5760 0.5645 0.5545
## [341] 0.5730 0.5755 0.4895 0.4880 0.4820 0.4740 0.4615 0.4770 0.4900 0.4890
## [351] 0.4830 0.4900 0.4860 0.5175 0.5230 0.5190 0.5170 0.5630 0.5475 0.5550
## [361] 0.5580 0.5480 0.5590 0.5700 0.5645 0.5625 0.5655 0.5440 0.5680 0.5630
## [371] 0.5720 0.5675 0.4195 0.4530 0.4200 0.4120 0.5425 0.5360 0.4355 0.4545
## [381] 0.4435 0.4505 0.4975 0.4335 0.4570 0.4905 0.5180 0.5250 0.3870 0.4125
## [391] 0.4320 0.3880 0.4320 0.4450 0.4340 0.4775 0.5520 0.5575 0.5385 0.5465
## [401] 0.5535 0.5725 0.5800 0.5640 0.5635 0.5680 0.5775 0.5745 0.5980 0.5755
## [411] 0.4615 0.4545 0.4330 0.4355 0.4465 0.4375 0.4410 0.4515 0.4755 0.4855
## [421] 0.4360 0.4100 0.5145 0.4620 0.5410 0.5375 0.5410 0.5175 0.5620 0.5840
## [431] 0.5670 0.5650 0.5390 0.5425 0.5240 0.5265 0.5215 0.4905 0.5065 0.4425
## [441] 0.4270 0.4330 0.4865 0.4565 0.4785 0.4785 0.4830 0.4460 0.5610 0.5070
## [451] 0.5110 0.4600 0.4915 0.4700 0.4720 0.4915 0.5285 0.5325 0.5235 0.5220
## [461] 0.5150 0.5135 0.5215 0.5225 0.4375 0.4470 0.0000 0.3800 0.5110 0.5135
## [471] 0.5305 0.5325 0.5345 0.5545 0.5470 0.5440 0.5490 0.5045 0.5190 0.5070
## [481] 0.5180 0.5240 0.5240 0.5910 0.5595 0.5630 0.5480 0.5230 0.5665 0.5900
## [491] 0.5590 0.5825 0.5870 0.6055 0.5715 0.6020 0.5925 0.6030 0.5405 0.5100
## [501] 0.4920 0.4905 0.4215 0.4410 0.4625 0.5170 0.4350 0.4770 0.4905 0.4765
## [511] 0.3885 0.4150 0.5205 0.5485 0.5445 0.5370 0.5465 0.5580 0.6055 0.5980
## [521] 0.5725 0.5835 0.5795 0.5535 0.5585 0.5650 0.5710 0.5840 0.4350 0.4210
## [531] 0.4075 0.4205 0.4280 0.4230 0.4505 0.4415 0.4530 0.4515 0.4825 0.4790
## [541] 0.4800 0.4975 0.4025 0.4280 0.5205 0.4755 0.4905 0.4565 0.4660 0.4570
## [551] 0.4605 0.4470 0.4585 0.5170 0.4890 0.4990 0.4820 0.4915 0.4710 0.4895
## [561] 0.4815 0.4820 0.4680 0.4685 0.4970 0.5330 0.5135 0.5330 0.5255 0.5310
## [571] 0.5035 0.5025 0.5135 0.5005 0.5215 0.5020 0.5245 0.4925 0.4815 0.4275
## [581] 0.3680 0.3985 0.4160 0.4990 0.5360 0.5400 0.5295 0.5530 0.5575 0.5915
## [591] 0.5870 0.3510 0.3315 0.3515 0.3670 0.3725 0.3810 0.4045 0.3975 0.3870
## [601] 0.3900 0.3935 0.3955 0.4085 0.4240 0.4530 0.4865 0.4815 0.5035 0.4990
## [611] 0.4880 0.4795 0.4870 0.4740 0.4865 0.4840 0.4625 0.4665 0.5115 0.4885
## [621] 0.4830 0.4345 0.4515 0.4445 0.4860 0.4835 0.4765 0.4560 0.4510 0.4880
## [631] 0.4775 0.4865 0.4755 0.4985 0.4760 0.4830 0.4780 0.4800 0.4515 0.4630
## [641] 0.4570 0.4665 0.5855 0.5400 0.5085 0.5185 0.4680 0.4605 0.4520 0.5030
## [651] 0.5525 0.5215 0.5340 0.5345 0.5430 0.5665 0.6060 0.6000 0.5700 0.5810
## [661] 0.5835 0.5770 0.5665 0.5850 0.4805 0.4810 0.4740 0.4900 0.4675 0.5305
## [671] 0.5630 0.5920 0.5790 0.5320 0.4725 0.4320 0.4240 0.4350 0.4385 0.4325
## [681] 0.4600 0.4760 0.4600 0.4475 0.4715 0.5065 0.4790 0.4975 0.5320 0.5285
## [691] 0.5615 0.5705 0.5500 0.5595 0.5870 0.5645 0.5450 0.5795 0.5645 0.4795
## [701] 0.4780 0.4860 0.4465 0.4650 0.4490 0.4635 0.4385 0.4205 0.4785 0.4095
## [711] 0.4825 0.4655 0.4460 0.4455 0.4735 0.4835 0.5065 0.4445 0.4760 0.4545
## [721] 0.4580 0.4385 0.4615 0.4875 0.5165 0.5285 0.5130 0.5145 0.5160 0.5215
## [731] 0.5070 0.5175 0.4430 0.4605 0.4665 0.5360 0.4820 0.4400 0.4620 0.5050
## [741] 0.4980 0.5115 0.5205 0.5000 0.5070 0.5570 0.5675 0.5455 0.5270 0.5065
## [751] 0.5290 0.5275 0.5685 0.5630 0.5710 0.5470 0.5750 0.5875 0.5910 0.5800
## [761] 0.5895 0.5320 0.4935 0.4845 0.4685 0.5670 0.6055 0.5650 0.5825 0.6065
## [771] 0.5665 0.5230 0.5245 0.5260 0.4865 0.4635 0.4865 0.5225 0.4360 0.2770
## [781] 0.5690 0.5355 0.5295 0.5480 0.5435 0.5880 0.5435 0.5115 0.5475 0.5385
## [791] 0.5275 0.5360 0.5295 0.5065 0.5120 0.5100 0.5230 0.5120 0.5150 0.5215
## [801] 0.5020 0.5080 0.5295 0.5110 0.5205 0.5610 0.4920 0.5535 0.4375 0.4765
## [811] 0.4460 0.4750 0.4725 0.4505 0.4320 0.4870 0.5095 0.4525 0.5270 0.4160
## [821] 0.4620 0.5290 0.5680 0.5360 0.5105 0.5120 0.4920 0.5260 0.4795 0.4905
## [831] 0.3950 0.5245 0.4690 0.5055 0.5410 0.5275 0.5340 0.5495 0.5165 0.4945
## [841] 0.5365 0.5230 0.5235 0.5060 0.4735 0.4460 0.4690 0.4855 0.4770 0.5075
## [851] 0.4785 0.4740 0.4845 0.4655 0.4720 0.4760 0.4580 0.4440 0.4685 0.4640
## [861] 0.4680 0.4615 0.5000 0.4550 0.4930 0.4360 0.4550 0.4850 0.4865 0.4975
## [871] 0.4765 0.5100 0.0000 0.0000 0.0000 0.4270 0.4150 0.4175 0.4040 0.4205
## [881] 0.4245 0.4620 0.4190 0.4435 0.4520 0.4285 0.4640 0.4275 0.4630 0.4170
## [891] 0.4515 0.4435 0.4605 0.4775 0.4710 0.4940 0.4505 0.4630 0.5175 0.4370
## [901] 0.4845 0.5090 0.4980 0.5010 0.5150 0.4460 0.1590 0.3835 0.4065 0.4100
## [911] 0.3480 0.4475 0.4210 0.4665 0.4270 0.4620 0.4740 0.4450 0.4635 0.5140
## [921] 0.4850 0.4605 0.4850 0.4580 0.5175 0.0000 0.5235 0.5015 0.4995 0.4990
## [931] 0.4070 0.3925 0.3850 0.3860 0.3865 0.4160 0.4365 0.4285 0.4550 0.4700
## [941] 0.4520 0.4575 0.4830 0.4865 0.5305 0.5245 0.4985 0.5155 0.5625 0.6520
## [951] 0.6085 0.5920 0.5920 0.5900 0.4440 0.4600 0.4270 0.3835 0.3925 0.3960
## [961] 0.4345 0.4390 0.4180 0.4425 0.4275 0.3885 0.3935 0.4580 0.4380 0.4340
## [971] 0.4460 0.4645 0.4330 0.4490 0.4190 0.4540 0.4130 0.4055 0.4080 0.3795
## [981] 0.3675 0.4080 0.4815 0.5010 0.5005 0.5040 0.5240 0.4230 0.4060 0.4930
## [991] 0.4465 0.5725 0.5295 0.5480 0.5125 0.5055 0.5365 0.5505 0.5380 0.5525
## [1001] 0.5550 0.4375 0.4340 0.4045 0.3985 0.3725 0.4225 0.4290 0.4375 0.4530
## [1011] 0.4355 0.4220 0.4015 0.3655 0.4210 0.4310 0.5185 0.5125 0.5180 0.5210
## [1021] 0.4125 0.4865 0.4750 0.4750 0.4750 0.4760 0.5005 0.4315 0.4145 0.3725
## [1031] 0.4420 0.4875 0.4700 0.5140 0.5085 0.5635 0.5570 0.5135 0.4460 0.4515
## [1041] 0.4475 0.4905 0.5080 0.5280 0.4835 0.4465 0.4640 0.4605 0.4755 0.4425
## [1051] 0.4965 0.4685 0.5005 0.4930 0.5120 0.5210 0.5220 0.5265 0.5155 0.5445
## [1061] 0.5120 0.5050 0.0000 0.4880 0.4230 0.4550 0.4795 0.4450 0.3950 0.4585
## [1071] 0.4635 0.4760 0.5560 0.5675 0.5700 0.5350 0.5365 0.5360 0.5380 0.5675
## [1081] 0.5150 0.5020 0.5175 0.5210 0.5115 0.5085 0.5315 0.5060 0.4535 0.4540
## [1091] 0.4540 0.4535 0.4685 0.4730 0.4945 0.4590 0.5070 0.4785 0.4545 0.4695
## [1101] 0.4760 0.4955 0.5150 0.5155 0.4585 0.4660 0.4785 0.4525 0.5195 0.5320
## [1111] 0.5130 0.5225 0.5275 0.5090 0.5310 0.5065 0.5155 0.4910 0.5395 0.5370
## [1121] 0.5475 0.5580 0.5510 0.4370 0.4385 0.4340 0.4340 0.4310 0.4265 0.4410
## [1131] 0.4215 0.4215 0.4355 0.4480 0.4200 0.4260 0.4465 0.4975 0.3870 0.3795
## [1141] 0.4310 0.4225 0.4350 0.4140 0.3985 0.4305 0.4325 0.4445 0.4230 0.4370
## [1151] 0.4480 0.4595 0.5230 0.5025 0.4905 0.4765 0.4350 0.4775 0.4585 0.4640
## [1161] 0.4345 0.4725 0.4785 0.5070 0.0000 0.4615 0.4840 0.5115 0.4615 0.4590
## [1171] 0.4410 0.5270 0.4995 0.4215 0.4750 0.4370 0.4515 0.4175 0.4520 0.5005
## [1181] 0.5185 0.4855 0.4845 0.5100 0.4850 0.5690 0.5530 0.5140 0.5385 0.5205
## [1191] 0.5445 0.4855 0.4940 0.4990 0.4895 0.4640 0.4480 0.4440 0.3975 0.4490
## [1201] 0.3925 0.4490 0.4530 0.4835 0.4540 0.4505 0.4505 0.4985 0.4735 0.4620
## [1211] 0.4465 0.5510 0.5155 0.4850 0.5295 0.5220 0.5435 0.5510 0.5445 0.5180
## [1221] 0.5265 0.5185 0.5335 0.5345 0.5155 0.5495 0.5460 0.5430 0.5410 0.5370
## [1231] 0.5365 0.4930 0.5235 0.4970 0.5200 0.4945 0.5065 0.5035 0.5290 0.5365
## [1241] 0.5485 0.5365 0.5400 0.5365 0.5500 0.5290 0.5550 0.5735 0.5715 0.5925
## [1251] 0.5790 0.6005 0.5860 0.4670 0.4320 0.4220 0.4225 0.4355 0.4330 0.3725
## [1261] 0.4290 0.4415 0.4500 0.5000 0.5790 0.6370 0.5600 0.4795 0.4835 0.4920
## [1271] 0.4850 0.4860 0.5100 0.4620 0.4840 0.4920 0.4805 0.5305 0.4800 0.5300
## [1281] 0.5570 0.5325 0.5175 0.5105 0.4950 0.3710 0.3950 0.4270 0.4730 0.4405
## [1291] 0.4755 0.5320 0.4545 0.4720 0.4595 0.4655 0.4005 0.4440 0.4400 0.4850
## [1301] 0.5145 0.4735 0.5180 0.5140 0.5260 0.5295 0.5260 0.5195 0.5090 0.5195
## [1311] 0.1475 0.1185 0.4965 0.4880 0.4940 0.5115 0.4930 0.4985 0.4360 0.4400
## [1321] 0.4520 0.4900 0.4470 0.4720 0.5025 0.4640 0.4890 0.4870 0.5050 0.5045
## [1331] 0.4775 0.4975 0.4795 0.4725 0.4815 0.4855 0.5065 0.5145 0.5125 0.5385
## [1341] 0.4845 0.4845 0.5135 0.5170 0.5325 0.5380 0.5475 0.5310 0.5325 0.5510
## [1351] 0.5375 0.5535 0.5610 0.5595 0.5430 0.5540 0.5090 0.5155 0.5000 0.5250
## [1361] 0.5715 0.5800 0.5425 0.5610 0.5675 0.5665 0.5585 0.5595 0.5585 0.5655
## [1371] 0.5650 0.5555 0.5775 0.5840 0.5390 0.5660 0.5800 0.5915 0.5945 0.5975
## [1381] 0.4160 0.5810 0.5945 0.5785 0.5850 0.6045 0.6080 0.5655 0.5735 0.5780
## [1391] 0.5555 0.5550 0.5830 0.5610 0.5655 0.4985 0.4990 0.4680 0.4855 0.4745
## [1401] 0.5270 0.5130 0.5000 0.4870 0.5005 0.4400 0.4590 0.4465 0.5445 0.5210
## [1411] 0.5060 0.5035 0.5020 0.5495 0.5240 0.5315 0.5140 0.5050 0.4715 0.4985
## [1421] 0.5050 0.5155 0.4680 0.0000 0.5445 0.5440 0.0000 0.4940 0.4605 0.4090
## [1431] 0.4700 0.4185 0.4495 0.4845 0.4925 0.5130 0.4760 0.4825 0.5165 0.4705
## [1441] 0.4215 0.4080 0.3800 0.3675 0.3800 0.3830 0.3925 0.4300 0.4195 0.4045
## [1451] 0.3890 0.4525 0.4360 0.4455 0.4175 0.4620 0.4320 0.3950 0.4095 0.4175
## [1461] 0.4635 0.4485 0.4635 0.5185 0.5600 0.5505 0.5770 0.4865 0.5020 0.4560
## [1471] 0.5305 0.4710 0.4830 0.4700 0.5100 0.5090 0.5255 0.5295 0.5405 0.5260
## [1481] 0.4850 0.5025 0.4825 0.4565 0.4625 0.4925 0.4560 0.4660 0.4925 0.4225
## [1491] 0.4410 0.4595 0.5145 0.5185 0.4805 0.5605 0.4550 0.4895 0.4735 0.4775
## [1501] 0.4425 0.4660 0.4120 0.3995 0.4165 0.4180 0.4275 0.3755 0.4805 0.4430
## [1511] 0.4360 0.4520 0.4020 0.3730 0.4720 0.4520 0.5195 0.5200 0.5475 0.5090
## [1521] 0.4755 0.5090 0.4070 0.4885 0.3540 0.3665 0.3135 0.4590 0.5105 0.4725
## [1531] 0.4675 0.4895 0.4470 0.4305 0.4930 0.4715 0.4620 0.4790 0.4875 0.4850
## [1541] 0.4915 0.5030 0.5005 0.5035 0.5010 0.5190 0.4795 0.4720 0.4830 0.4685
## [1551] 0.4700 0.4545 0.4555 0.4600 0.4490 0.4505 0.4595 0.4535 0.4620 0.5205
## [1561] 0.5440 0.5420 0.4655 0.4260 0.4355 0.4435 0.5125 0.4725 0.4895 0.4790
## [1571] 0.4590 0.4965 0.4695 0.4700 0.5205 0.4710 0.5435 0.5265 0.5475 0.5345
## [1581] 0.5570 0.4945 0.4580 0.4410 0.4530 0.3960 0.4120 0.4350 0.4325 0.4680
## [1591] 0.4470 0.4545 0.4290 0.4390 0.4600 0.4435 0.5210 0.5180 0.5820 0.5515
## [1601] 0.5085 0.5135 0.5160 0.5440 0.5230 0.5465 0.5575 0.5340 0.5255 0.5085
## [1611] 0.4770 0.4635 0.5080 0.4895 0.5015 0.4865 0.4645 0.4715 0.4710 0.4930
## [1621] 0.5000 0.5305 0.5340 0.5150 0.5415 0.5325 0.5665 0.5655 0.4895 0.4450
## [1631] 0.4175 0.4090 0.4220 0.5070 0.5360 0.5380 0.5290 0.4955 0.4865 0.4690
## [1641] 0.4855 0.5165 0.4970 0.5125 0.5065 0.5220 0.5045 0.5085 0.4945 0.4920
## [1651] 0.5140 0.4940 0.5165 0.5080 0.5175 0.5060 0.4875 0.4925 0.4850 0.4920
## [1661] 0.4845 0.4810 0.4735 0.4330 0.3915 0.5475 0.5845 0.5045 0.5060 0.4540
## [1671] 0.4815 0.4905 0.4695 0.4805 0.4850 0.4785 0.4805 0.4705 0.4755 0.4705
## [1681] 0.4765 0.4640 0.3805 0.4135 0.3830 0.4040 0.4175 0.4320 0.4560 0.4235
## [1691] 0.4260 0.4425 0.4320 0.4405 0.4575 0.4535 0.5465 0.4785 0.4875 0.4610
## [1701] 0.4695 0.4315 0.4550 0.4370 0.4645 0.4860 0.4055 0.4700 0.4850 0.4915
## [1711] 0.4845 0.4785 0.4890 0.5060 0.4820 0.5320 0.5415 0.5255 0.4965 0.4935
## [1721] 0.4900 0.5420 0.5265 0.5240 0.5205 0.5255 0.5545 0.4815 0.3705 0.4375
## [1731] 0.5130 0.5075 0.5435 0.5200 0.5270 0.5170 0.5135 0.5005 0.5200 0.5595
## [1741] 0.5470 0.0000 0.4870 0.4180 0.4240 0.3780 0.4120 0.4465 0.4950 0.3990
## [1751] 0.4785 0.4860 0.5120 0.2785 0.5230 0.4795 0.4570 0.4895 0.5005 0.4900
## [1761] 0.5135 0.4300 0.4210 0.4275 0.3815 0.3930 0.3950 0.4120 0.4665 0.3805
## [1771] 0.3505 0.3795 0.4245 0.5030 0.4455 0.4355 0.4005 0.3465 0.4220 0.4680
## [1781] 0.4405 0.4680 0.4495 0.4660 0.5095 0.5110 0.5390 0.5280 0.5390 0.5515
## [1791] 0.5375 0.5390 0.5620 0.4355 0.4220 0.3795 0.3860 0.3700 0.4050 0.3815
## [1801] 0.4340 0.4215 0.4075 0.4045 0.4160 0.4155 0.4175 0.4865 0.5105 0.5285
## [1811] 0.4980 0.4895 0.4960 0.1455 0.0000 0.5285 0.5100 0.5015 0.5445 0.5385
## [1821] 0.5250 0.5630 0.5115 0.5185 0.5385 0.5195 0.5090 0.5140 0.5140 0.5225
## [1831] 0.5085 0.5030 0.4845 0.5055 0.5130 0.4915 0.5440 0.5305 0.5495 0.5525
## [1841] 0.5460 0.5545 0.5470 0.5370 0.5575 0.5445 0.5350 0.5475 0.5535 0.5295
## [1851] 0.5410 0.5450 0.5255 0.5075 0.5240 0.5190 0.5285 0.5010 0.5395 0.5600
## [1861] 0.5965 0.5625 0.5580 0.5760 0.5555 0.5360 0.4615 0.4505 0.4475 0.4640
## [1871] 0.4550 0.4520 0.4395 0.4555 0.4715 0.4945 0.5210 0.5170 0.5325 0.5260
## [1881] 0.5185 0.5130 0.5025 0.4960 0.5135 0.5170 0.5390 0.5275 0.5450 0.5400
## [1891] 0.5445 0.5665 0.5560 0.5590 0.4430 0.3970 0.4415 0.3865 0.4505 0.3625
## [1901] 0.4180 0.4415 0.4710 0.4370 0.3795 0.0000 0.4415 0.4685 0.4855 0.4785
## [1911] 0.4450 0.3940 0.3825 0.4120 0.4435 0.4140 0.3485 0.3750 0.3880 0.3780
## [1921] 0.4635 0.4665 0.4750 0.4255 0.5185 0.4880 0.5215 0.5095 0.5360 0.5515
## [1931] 0.5360 0.5270 0.5685 0.5180 0.5060 0.4630 0.4405 0.4770 0.4350 0.4960
## [1941] 0.4230 0.4470 0.4820 0.4470 0.4735 0.5150 0.4610 0.4755 0.5245apply(df1[ , 8:9], 1, mean)## [1] 0.5250 0.5200 0.4140 0.4465 0.5060 0.4420 0.4875 0.4805 0.4175
## [10] 0.4165 0.4170 0.4080 0.4330 0.3530 0.2770 0.3360 0.3395 0.3680
## [19] 0.4290 0.4020 0.4420 0.4235 0.4540 0.4075 0.4490 0.2065 0.2285
## [28] 0.2590 0.0000 0.0000 0.2665 0.3065 0.3730 0.4830 0.3850 0.3560
## [37] 0.3330 0.3475 0.3700 0.3665 0.3775 0.3645 0.2905 0.3345 0.3465
## [46] 0.3450 0.3385 0.3295 0.3275 0.3220 0.3095 0.3470 0.3095 0.2830
## [55] 0.3305 0.3340 0.3575 0.3250 0.3390 0.3525 0.3510 0.3490 0.3755
## [64] 0.3590 0.2570 0.2055 0.1950 0.4300 0.3680 0.3415 0.3755 0.3210
## [73] 0.3505 0.3805 0.3445 0.3190 0.3640 0.2755 0.2755 0.3505 0.3960
## [82] 0.4525 0.3385 0.4175 0.4445 0.4235 0.3425 0.3280 0.3020 0.3255
## [91] 0.2880 0.2585 0.2375 0.2695 0.3320 0.3430 0.3335 0.3675 0.3450
## [100] 0.3115 0.2655 0.2230 0.2090 0.2015 0.2140 0.1645 0.1215 0.2715
## [109] 0.3570 0.2660 0.2190 0.2625 0.0000 0.0560 0.0440 0.0680 0.0240
## [118] 0.0660 0.4270 0.4230 0.3790 0.3505 0.3790 0.3440 0.3655 0.3635
## [127] 0.3455 0.3265 0.2995 0.3235 0.3290 0.3025 0.3665 0.2310 0.2350
## [136] 0.2380 0.2365 0.2715 0.2520 0.2200 0.2380 0.3170 0.2890 0.2695
## [145] 0.2660 0.2720 0.1800 0.2990 0.3950 0.3295 0.3595 0.3485 0.3540
## [154] 0.2955 0.2565 0.2655 0.2205 0.2985 0.2525 0.2500 0.2350 0.4010
## [163] 0.4020 0.3895 0.4105 0.3535 0.3475 0.3855 0.3795 0.4115 0.3865
## [172] 0.3510 0.3745 0.3410 0.2245 0.5775 0.4590 0.4555 0.3750 0.4090
## [181] 0.3545 0.3635 0.3565 0.3930 0.4125 0.3725 0.4250 0.4160 0.4030
## [190] 0.3495 0.3465 0.3855 0.4070 0.4660 0.4665 0.4025 0.4450 0.4700
## [199] 0.5060 0.6040 0.4525 0.5455 0.5075 0.5180 0.5210 0.5270 0.2640
## [208] 0.3210 0.3355 0.2830 0.3055 0.2975 0.3190 0.3720 0.2380 0.2415
## [217] 0.2765 0.2765 0.3725 0.3560 0.3050 0.3340 0.3010 0.2950 0.3115
## [226] 0.3060 0.2975 0.3775 0.3405 0.3095 0.3230 0.3500 0.3380 0.4190
## [235] 0.3985 0.3600 0.3830 0.3855 0.4500 0.3705 0.3830 0.3785 0.3880
## [244] 0.4170 0.4485 0.4130 0.3865 0.3930 0.3655 0.3010 0.3280 0.3745
## [253] 0.3985 0.3485 0.3600 0.3320 0.3720 0.3625 0.4205 0.3495 0.3075
## [262] 0.3745 0.2875 0.5420 0.4975 0.4665 0.5585 0.6230 0.5965 0.5685
## [271] 0.4880 0.5410 0.5175 0.4580 0.4545 0.0180 0.4205 0.4575 0.4490
## [280] 0.4395 0.4380 0.4540 0.4385 0.4205 0.4330 0.4185 0.3925 0.4585
## [289] 0.4380 0.4080 0.4600 0.4045 0.4430 0.3795 0.3275 0.3160 0.3295
## [298] 0.3215 0.3430 0.3780 0.3610 0.3560 0.3400 0.2980 0.2625 0.2390
## [307] 0.2740 0.2420 0.4315 0.4045 0.4090 0.4460 0.4815 0.4945 0.4315
## [316] 0.5035 0.4760 0.4415 0.4535 0.4250 0.4185 0.4055 0.4300 0.4360
## [325] 0.4000 0.3935 0.4435 0.4010 0.4835 0.4125 0.4415 0.4050 0.4325
## [334] 0.4885 0.4130 0.4875 0.4265 0.4800 0.4080 0.3780 0.3785 0.4225
## [343] 0.0000 -0.0880 -0.0460 -0.0800 -0.0665 -0.0930 -0.0925 -0.0790 -0.1085
## [352] -0.1220 -0.1140 -0.0875 -0.0795 -0.0865 -0.0515 0.3965 0.4100 0.3605
## [361] 0.3910 0.3825 0.3870 0.4295 0.4135 0.3985 0.3715 0.3990 0.3590
## [370] 0.3535 0.3410 0.3615 0.3820 0.3730 0.3285 0.2650 0.4400 0.4195
## [379] -0.0490 0.3620 0.3440 0.3370 0.3490 0.3685 0.3590 0.3160 0.3230
## [388] 0.3475 0.4010 0.4155 0.3860 0.4625 0.4115 0.4090 0.4255 0.4385
## [397] 0.4290 0.4590 0.4560 0.4260 0.4050 0.4020 0.4200 0.4155 0.3990
## [406] 0.3510 0.3745 0.3330 0.3370 0.3450 0.4210 0.3435 0.3680 0.3895
## [415] 0.3410 0.3660 0.5250 0.3765 0.4095 0.3940 0.3870 0.3975 0.4490
## [424] 0.0000 0.3650 0.4275 0.4530 0.5105 0.4845 0.4845 0.4640 0.5035
## [433] 0.4340 0.4470 0.4130 0.4285 0.4080 0.4505 0.4325 0.4420 0.4220
## [442] 0.4015 0.3800 0.3645 0.3700 0.3515 0.3450 0.2795 0.3785 0.1185
## [451] 0.2230 0.2600 0.2350 0.2085 0.2590 0.1630 0.1925 0.1775 0.2065
## [460] 0.1740 0.1680 0.0845 0.0970 0.1330 0.3525 0.3195 0.2695 0.2310
## [469] 0.3965 0.3820 0.3415 0.3765 0.3525 0.4010 0.3325 0.3865 0.3700
## [478] 0.3450 0.3285 0.3195 0.3060 0.3115 0.2540 0.4050 0.3835 0.3535
## [487] 0.3330 0.3715 0.2735 0.3230 0.2275 0.2470 0.2760 0.3795 0.2835
## [496] 0.3660 0.3620 0.3490 0.0000 -0.0605 0.4135 0.3505 0.3750 0.3540
## [505] 0.3710 0.3860 0.3115 0.2975 0.3385 -0.0760 -0.1075 -0.0995 -0.0560
## [514] 0.3755 0.3850 0.3285 0.2725 0.3150 0.2905 0.3155 0.3110 0.2935
## [523] 0.3245 0.3060 0.3030 0.3530 0.2865 0.2285 0.2665 0.2485 0.2230
## [532] 0.2815 0.2595 0.3005 0.2625 0.2495 0.2025 0.2450 0.2835 0.2400
## [541] 0.2400 0.1580 -0.0220 0.3710 0.3910 0.3400 0.3705 0.3790 0.4190
## [550] 0.3925 0.4860 0.0635 0.1225 0.2520 0.2105 0.1800 0.1730 0.1320
## [559] 0.1670 0.1115 0.0950 0.0360 0.0715 0.0240 0.3440 0.4125 0.3190
## [568] 0.2860 0.2595 0.2625 0.2295 0.2870 0.2690 0.2510 0.2660 0.2390
## [577] 0.2220 0.2175 0.1980 0.3200 0.3075 0.3170 0.2920 0.3365 0.3065
## [586] 0.3200 0.3130 0.3215 0.3415 0.5655 0.6040 0.2425 0.2150 0.1370
## [595] 0.1510 0.1060 0.0490 0.0260 0.0475 0.0915 0.1485 0.1560 0.1730
## [604] 0.2610 0.1935 0.1810 0.3905 0.4795 0.3790 0.4085 0.3915 0.3550
## [613] 0.3750 0.2950 0.2810 0.2950 0.2970 0.2795 0.2650 0.2595 0.1820
## [622] 0.5135 0.4545 0.4915 0.4475 0.4745 0.4005 0.4690 0.4075 0.4570
## [631] 0.4535 0.4920 0.4590 0.4540 0.4865 0.5235 0.4305 0.3275 0.3330
## [640] 0.3255 0.3125 0.3270 0.3345 0.3210 0.2760 0.3190 0.2910 0.2625
## [649] 0.2795 0.2615 0.4390 0.4730 0.5010 0.4760 0.4805 0.4360 0.4205
## [658] 0.4310 0.4560 0.4365 0.4115 0.3705 0.3775 0.3555 0.3920 0.3975
## [667] 0.4530 0.3555 0.3845 0.3735 0.3940 0.4350 0.4265 0.4730 0.6275
## [676] 0.5365 0.5320 0.4625 0.5030 0.4790 0.4965 0.5415 0.5650 0.5140
## [685] 0.5710 0.4665 0.5280 0.5430 0.4880 0.4625 0.4895 0.4340 0.4205
## [694] 0.4245 0.3755 0.4365 0.4275 0.4515 0.4390 0.2560 0.2850 0.2900
## [703] 0.2940 0.2400 0.3010 0.3235 0.2515 0.2780 0.2495 0.1900 0.4515
## [712] 0.3670 0.3950 0.4190 0.4255 0.3970 0.3995 0.3525 0.3550 0.3685
## [721] 0.3735 0.3340 0.3445 0.3580 0.4900 0.5000 0.5095 0.4700 0.5000
## [730] 0.4865 0.3495 0.4020 0.4275 0.4055 0.4095 0.4345 0.4605 0.4350
## [739] 0.4485 0.4580 0.4030 0.3855 0.4055 0.3695 0.4450 0.4320 0.4275
## [748] 0.6310 0.6355 0.5660 0.5510 0.7010 0.7000 0.6580 0.6745 0.6890
## [757] 0.7085 0.6950 0.6940 0.6900 0.7080 0.3180 0.4640 0.4600 0.4325
## [766] 0.3390 0.4505 0.4405 0.4375 0.4495 0.4665 0.3515 0.3640 0.3550
## [775] 0.4245 0.3275 0.3670 0.3550 0.3845 0.3300 0.3625 0.3905 0.3735
## [784] 0.3785 0.4095 0.4140 0.3575 0.4045 0.4475 0.4830 0.4865 0.4375
## [793] 0.4445 0.3350 0.3210 0.2865 0.2765 0.2530 0.2235 0.1850 0.4525
## [802] 0.5435 0.5185 0.5475 0.5260 0.5160 0.5075 0.4995 0.4560 0.4485
## [811] 0.4785 0.4690 0.4125 0.4140 0.3495 0.4720 0.5175 0.4975 0.5650
## [820] 0.4305 0.4575 0.5105 0.4205 0.4275 0.4245 0.4110 0.4160 0.4335
## [829] 0.3920 0.3470 0.3745 0.3300 0.2955 0.3455 0.3570 0.3300 0.3705
## [838] 0.3910 0.3965 0.4710 0.4225 0.4550 0.4300 0.3765 0.3740 0.3495
## [847] 0.3595 0.3405 0.2650 0.3150 0.3410 0.3460 0.2515 0.2390 0.2495
## [856] 0.3180 0.2265 0.2130 0.1810 0.1750 0.3350 0.2760 0.2910 0.3320
## [865] -0.0230 -0.0715 -0.0800 -0.0585 -0.0520 -0.0230 -0.0190 -0.0760 -0.0930
## [874] -0.0825 -0.0750 0.2955 0.3095 0.3390 0.2980 0.3040 0.2835 0.3530
## [883] 0.2955 0.4045 0.3385 0.3330 0.3600 0.3630 0.3265 0.3025 0.4200
## [892] 0.4265 0.4485 0.5065 0.4685 0.4725 0.4885 0.5365 0.5105 0.5370
## [901] 0.5630 0.5440 0.5675 0.5520 0.5485 0.5190 0.4695 0.5845 0.5685
## [910] 0.4615 0.4885 0.5250 0.3935 0.5160 0.5330 0.5210 0.5955 0.5835
## [919] 0.4550 0.0460 0.3410 0.2275 0.2800 0.0000 0.0000 0.0000 0.0410
## [928] -0.0375 -0.0025 -0.0520 0.3695 0.4190 0.4115 0.3780 0.4270 0.3885
## [937] 0.4065 0.4075 0.6260 0.5290 0.4865 0.5085 0.5870 0.4415 0.5170
## [946] 0.5635 0.5290 0.5265 0.5230 0.1160 0.3325 0.3875 0.3405 0.4445
## [955] 0.3540 0.3785 0.3615 0.3810 0.4660 0.4285 0.3820 0.3805 0.3655
## [964] 0.3560 0.3220 0.2935 0.2975 0.3655 0.4725 0.4855 0.4810 0.5040
## [973] 0.5110 0.4585 0.4250 0.4585 0.4635 0.4810 0.4420 0.4185 0.4205
## [982] 0.4045 0.3405 0.3220 0.3260 0.3920 0.4455 0.4025 0.3900 0.4195
## [991] 0.4210 0.4670 0.4275 0.4590 0.4395 0.3795 -0.0220 -0.0445 0.3270
## [1000] 0.2725 0.3065 0.3360 0.3420 0.3510 0.3380 0.3435 0.4080 0.3420
## [1009] 0.3495 0.3465 0.3350 0.3415 0.3080 0.3075 0.2660 0.3535 0.2795
## [1018] 0.2595 0.2470 0.2310 0.1235 0.2360 0.2135 0.1875 0.1870 0.1815
## [1027] 0.1725 -0.0195 0.3370 0.4175 0.3995 0.4245 0.3840 0.4100 0.3975
## [1036] 0.4070 0.4460 0.3540 0.4380 0.4465 0.4325 0.4760 0.5275 0.4675
## [1045] 0.4425 0.4465 0.4450 0.3800 0.4195 0.3420 0.4705 0.4440 0.4640
## [1054] 0.4245 0.4380 0.4130 0.4320 0.5095 0.5420 0.5300 0.5105 0.4525
## [1063] 0.0120 0.3445 0.4530 0.4135 0.3915 0.3125 0.3495 0.3510 0.3105
## [1072] 0.3660 0.3960 0.3970 0.3795 0.4040 0.2320 0.1435 0.1480 0.1760
## [1081] 0.2050 0.5370 0.5055 0.5205 0.4715 0.3870 0.3880 0.3375 0.2570
## [1090] 0.4115 0.4435 0.3910 0.3995 0.3430 0.2985 0.2675 0.3850 0.3335
## [1099] 0.3120 0.2995 0.3205 0.5190 0.5275 0.5150 0.4525 0.3560 0.3785
## [1108] 0.3675 0.3820 0.3260 0.3285 0.3440 0.3225 0.2995 0.2700 0.2250
## [1117] 0.2680 0.2780 0.3280 0.2995 0.3150 0.3340 0.3295 0.3810 0.3720
## [1126] 0.4350 0.4130 0.4205 0.4375 0.4525 0.4360 0.4060 0.4265 0.4610
## [1135] 0.4365 0.4225 0.3960 0.4415 0.4910 0.5150 0.5135 0.5410 0.5195
## [1144] 0.5320 0.5275 0.5365 0.4950 0.4920 0.4515 0.5110 0.4920 0.3405
## [1153] 0.3685 0.2755 0.2680 0.2815 0.2585 0.4325 0.3185 0.3810 0.3365
## [1162] 0.3590 0.3575 0.4525 0.3690 0.3285 0.3290 0.2805 0.3070 0.2400
## [1171] 0.3125 0.3045 0.2565 0.2870 0.3995 0.4640 0.4350 0.3475 0.3605
## [1180] 0.3260 0.3700 0.3775 0.6700 0.6635 0.6450 0.6605 0.6430 0.6345
## [1189] 0.5685 0.6215 0.5585 0.3690 0.3035 0.3205 0.3385 0.3525 0.3530
## [1198] 0.4485 0.6040 0.5955 0.4970 0.5015 0.4625 0.4765 0.5140 0.4810
## [1207] 0.5255 0.4925 0.4520 0.4320 0.4395 0.2855 0.3945 0.3920 0.3740
## [1216] 0.3475 0.3610 0.4050 0.3940 0.3365 0.3360 0.3065 0.2660 0.2865
## [1225] 0.2160 0.2680 0.2870 0.3160 0.2875 0.2765 0.2880 0.2745 0.3105
## [1234] 0.2575 0.2720 0.2580 0.1635 0.1955 0.2040 0.4270 0.4830 0.4475
## [1243] 0.4320 0.4100 0.3700 0.3305 0.3375 0.4015 0.4025 0.3850 0.3415
## [1252] 0.3610 0.3255 0.4155 0.3460 0.3470 0.2370 0.2530 0.2470 0.3565
## [1261] 0.3170 0.2795 0.3355 0.3990 0.3740 0.3230 0.3775 0.4780 0.5270
## [1270] 0.5055 0.4900 0.4890 0.4830 0.4780 0.4455 0.4740 0.4795 0.4280
## [1279] 0.4525 0.5060 0.4275 0.3575 0.3460 0.3295 0.3350 0.3070 0.3200
## [1288] 0.4750 0.4010 0.3990 0.3890 0.4180 0.4430 0.4480 0.3885 0.4750
## [1297] 0.3985 0.4345 0.4735 0.5040 0.2530 0.2605 0.2575 0.2930 0.2780
## [1306] 0.2715 0.2430 0.1810 0.1910 0.1730 0.0125 0.4220 0.4415 0.4740
## [1315] 0.4755 0.5760 0.4435 0.5035 0.4460 0.4085 0.4010 0.4440 0.3795
## [1324] 0.4340 0.4500 0.4290 0.3820 0.3415 0.3560 0.3175 0.3115 0.2885
## [1333] 0.3150 0.3285 0.3105 0.3415 0.3340 0.4070 0.4145 0.4325 0.4990
## [1342] 0.4705 0.4515 0.4355 0.4245 0.3970 0.4160 0.4245 0.4015 0.3675
## [1351] 0.3355 0.3530 0.3350 0.4535 0.5310 0.4740 0.4420 0.4280 0.4735
## [1360] 0.4870 0.4745 0.3800 0.4275 0.3425 0.4065 0.4550 0.4120 0.4265
## [1369] 0.4145 0.4005 0.4105 0.3505 0.3940 0.4020 0.3710 0.3970 0.3660
## [1378] 0.3705 0.3640 0.3720 0.4520 0.4290 0.4500 0.4045 0.4225 0.4280
## [1387] 0.4120 0.3885 0.3860 0.3520 0.3605 0.2850 0.3090 0.3325 0.3140
## [1396] 0.4915 0.4390 0.4855 0.4535 0.4205 0.4305 0.3895 0.4170 0.3585
## [1405] 0.3785 0.2585 0.2330 0.2325 0.3900 0.3505 0.3580 0.4210 0.3945
## [1414] 0.4310 0.4140 0.4075 0.3890 0.3485 0.3525 0.3095 0.3405 0.3145
## [1423] 0.2095 0.0520 0.0060 0.0810 0.0000 0.4785 0.3805 0.3855 0.4445
## [1432] 0.4120 0.4235 0.4115 0.4290 0.4105 0.4170 0.3830 0.3520 0.3665
## [1441] 0.3140 0.3245 0.3095 0.3355 0.3205 0.3280 0.3225 0.3225 0.3020
## [1450] 0.3710 0.3720 0.3585 0.3590 0.3660 0.3760 0.1495 0.1515 0.2045
## [1459] 0.0610 0.0345 0.0445 0.0275 0.0600 0.0920 0.1325 0.1105 0.1160
## [1468] 0.2525 0.0025 0.2430 0.1675 -0.0165 -0.0710 -0.0600 -0.0405 -0.0365
## [1477] -0.0225 -0.0660 -0.0655 -0.0960 -0.0735 -0.0555 0.3770 0.4125 0.4245
## [1486] 0.4410 0.3870 0.3550 0.4080 0.3925 0.3275 0.3270 0.3540 0.3905
## [1495] 0.3655 0.3885 0.3700 0.3915 0.3975 0.3960 0.4110 0.4040 0.4920
## [1504] 0.3985 0.4110 0.3870 0.3820 0.3865 0.4865 0.4685 0.5390 0.5365
## [1513] 0.4610 0.4300 0.3925 0.4100 0.4375 0.4845 0.4635 0.4755 0.4740
## [1522] 0.0690 0.1785 0.0560 -0.0200 0.0210 -0.0250 0.1785 0.1435 0.1245
## [1531] 0.0950 0.1490 0.0155 0.0485 0.4480 0.4030 0.4585 0.4395 0.4320
## [1540] 0.3940 0.4000 0.4280 0.4325 0.3715 0.3985 0.4130 0.3755 0.3925
## [1549] 0.4370 0.4340 0.4355 0.4770 0.4805 0.4500 0.3915 0.4020 0.3600
## [1558] 0.3415 0.3580 0.2280 0.2050 0.2205 0.2565 0.2355 0.1785 0.1670
## [1567] -0.0420 0.3505 0.3855 0.3750 0.2945 0.3325 0.3375 0.3615 0.3515
## [1576] 0.3630 0.3715 0.3680 0.3955 0.3430 0.4485 0.3735 0.3720 0.3345
## [1585] 0.3455 0.3595 0.3895 0.4220 0.3910 0.3955 0.4025 0.4440 0.4325
## [1594] 0.3540 0.3315 0.2795 0.3710 0.3550 0.3925 0.3805 0.3885 0.3455
## [1603] 0.2665 0.3355 0.3510 0.3620 0.3925 0.4075 0.4130 0.3750 0.3855
## [1612] 0.3795 0.3510 0.3405 0.3045 0.4500 0.4785 0.5120 0.4980 0.5140
## [1621] 0.4525 0.4920 0.5550 0.5450 0.5890 0.4690 0.4810 0.4570 0.3890
## [1630] 0.3485 0.3195 0.3390 0.3655 0.3370 0.4250 0.2570 0.2665 0.0000
## [1639] 0.2175 0.2195 0.2565 0.1970 0.2150 0.1930 0.2415 0.2260 0.2215
## [1648] 0.1960 0.2045 0.1700 0.1705 0.1470 0.3490 0.2335 0.2310 0.1715
## [1657] 0.1595 0.1950 0.2480 0.2010 0.1650 0.1080 0.4010 0.3850 0.3755
## [1666] 0.4360 0.4945 0.4440 0.3650 0.4080 0.3840 0.4130 0.3950 0.4125
## [1675] 0.4215 0.4790 0.4380 0.3810 0.3365 0.3680 0.3590 0.3555 0.3400
## [1684] 0.3295 0.3705 0.3965 0.3705 0.2765 0.3220 0.4135 0.3500 0.3820
## [1693] 0.3210 0.4210 0.2565 0.2225 0.2550 0.3110 0.3470 0.5930 0.6055
## [1702] 0.5025 0.3850 0.5500 0.4565 0.4940 0.5275 0.4590 0.3850 0.3825
## [1711] 0.3445 0.4080 0.6330 0.6445 0.6790 0.7145 0.7265 0.6615 0.6445
## [1720] 0.6905 0.7365 0.6150 0.6170 0.5480 0.5830 0.5930 0.5955 0.4215
## [1729] 0.4385 0.3810 0.3550 0.3320 0.4040 0.3420 0.4010 0.4010 0.5290
## [1738] 0.5230 0.4890 0.5380 0.4630 0.3015 0.2985 0.3570 0.3615 0.3395
## [1747] 0.2755 0.2945 0.3230 0.3250 0.3245 0.3400 0.3375 0.4385 0.3110
## [1756] 0.2980 0.3130 0.3120 0.2035 0.2430 0.2345 0.3700 0.3950 0.3495
## [1765] 0.2170 0.3145 0.3120 0.3315 -0.0510 0.0090 -0.0615 -0.0355 0.0160
## [1774] 0.0465 0.0025 0.0330 0.1300 0.1425 0.3830 0.4400 0.3965 0.4015
## [1783] 0.4200 0.4310 0.4595 0.4365 0.4535 0.5040 0.4715 0.4380 0.4675
## [1792] 0.4825 0.5125 0.3360 0.3635 0.3320 0.3605 0.3825 0.3525 0.3365
## [1801] 0.3605 0.5055 0.4595 0.4510 0.4675 0.4345 0.4020 0.5360 0.0850
## [1810] 0.1790 0.2060 0.0355 0.0000 0.0000 0.0000 0.1005 0.0655 0.1080
## [1819] 0.0270 0.0645 0.0300 0.1990 0.4170 0.4395 0.4500 0.4950 0.3870
## [1828] 0.3980 0.4570 0.4195 0.3780 0.3540 0.3550 0.3150 0.3780 0.3465
## [1837] 0.3000 0.4150 0.4615 0.4330 0.4670 0.4290 0.4625 0.5105 0.4615
## [1846] 0.4585 0.4415 0.4390 0.4130 0.4255 0.3560 0.1820 0.2245 0.2270
## [1855] 0.2130 0.1565 0.2380 0.3410 0.2715 0.2300 0.3205 0.3020 0.2680
## [1864] 0.2930 0.2520 0.2035 0.2470 -0.0115 0.3115 0.2445 0.2820 0.2130
## [1873] 0.2000 0.2985 0.4230 0.1040 0.2940 0.4190 0.4075 0.3600 0.3075
## [1882] 0.2755 0.3560 0.2995 0.2730 0.2750 0.3085 0.3140 0.3480 0.3675
## [1891] 0.3375 0.4140 0.4195 0.4055 0.0075 0.4215 0.4950 0.3880 0.3685
## [1900] 0.4235 0.3525 0.3720 0.0000 0.0430 0.3545 0.0000 0.3835 0.3310
## [1909] 0.0055 0.3900 0.3745 0.2905 0.3110 0.3530 0.3640 0.3450 -0.0755
## [1918] -0.0735 0.3965 0.3990 0.3895 0.4405 0.4730 0.4105 0.4425 0.4070
## [1927] 0.3140 0.3990 0.4160 0.4465 0.4400 0.4295 0.4545 0.4330 0.4145
## [1936] 0.4320 0.4370 0.4265 0.3675 0.3710 0.3780 0.3635 0.3730 0.3435
## [1945] 0.3145 0.3265 0.3880 0.3835 0.3900apply(df1[ , 6:7], 1, mean)## [1] 25.7590 25.9395 26.1000 26.2080 26.3855 26.5690 26.6945 26.7945 26.7615
## [10] 26.6135 26.4870 26.3970 33.1645 33.3625 33.4845 33.5835 33.7810 33.9360
## [19] 34.1275 34.2520 34.4150 34.5750 34.7620 34.8885 35.0270 32.5465 32.5950
## [28] 32.7035 32.5700 32.7500 33.0685 33.2415 33.2425 26.5420 26.8280 27.1550
## [37] 27.4875 33.7765 33.7965 33.8690 33.9085 34.0150 34.1480 34.2035 34.2885
## [46] 34.3825 34.5405 34.6240 34.7160 34.8230 34.9085 35.0115 32.6600 32.7525
## [55] 32.7310 32.7705 32.8295 32.9125 33.0110 33.0920 33.1730 33.2755 33.4555
## [64] 33.6070 33.8540 34.0220 36.1675 36.3055 36.3980 36.5660 36.6225 36.6675
## [73] 36.7165 36.7615 36.8110 36.9610 37.1055 37.2580 37.4090 37.5525 35.8505
## [82] 35.9795 36.1480 36.2395 36.3000 36.3710 36.4225 36.5000 36.6445 36.7950
## [91] 36.9520 37.1015 37.2560 31.3260 31.3910 31.6205 31.7590 31.9505 32.0885
## [100] 32.2395 32.3960 32.5465 32.6820 32.8065 32.9655 33.1360 33.3270 33.4180
## [109] 33.5810 33.7250 33.7710 33.9745 33.7100 34.2750 34.4945 34.7030 35.1035
## [118] 35.3225 29.8160 30.0225 30.2330 30.4555 30.6795 30.9790 31.1040 31.3510
## [127] 31.5580 31.8075 32.0875 32.3480 32.6005 32.8510 33.0385 30.9035 31.0335
## [136] 31.1700 31.3395 31.5000 31.7680 32.0525 32.3815 32.6335 32.9115 33.0790
## [145] 33.2105 33.3720 33.5285 35.4120 35.5805 35.6635 35.8035 35.9000 35.9475
## [154] 36.0255 36.0705 36.1345 36.2330 36.3285 36.4040 36.4880 36.5835 31.1525
## [163] 31.5470 25.3400 25.8045 26.3765 26.5145 26.6615 26.7980 26.9165 27.1400
## [172] 27.3135 27.5065 27.7350 27.9415 30.2050 30.3670 30.5150 29.8850 30.1400
## [181] 30.3630 30.6395 30.8515 31.0610 31.2710 31.4330 31.6205 31.7920 31.9410
## [190] 32.0920 32.2315 32.3905 32.5385 33.1910 33.3690 33.5325 33.5365 33.6000
## [199] 33.6050 33.6360 33.7655 33.9165 34.0320 34.2295 34.4110 34.5700 23.8220
## [208] 25.3590 26.8630 27.2465 27.6295 28.0035 28.4055 28.8285 29.1760 29.5085
## [217] 29.8590 30.2165 32.0910 32.2785 32.4010 32.5135 32.6530 32.7970 32.9345
## [226] 33.0325 33.1270 33.2995 33.4035 33.4825 33.5755 33.7150 33.7930 32.8330
## [235] 33.1225 33.2320 33.2705 33.3015 33.3380 33.4185 33.5500 33.6445 33.7620
## [244] 33.9110 34.0090 23.6240 24.0010 24.3960 25.1435 25.4825 25.7010 26.0305
## [253] 26.2850 26.5295 26.7725 27.0070 27.3105 27.5390 24.6400 25.0435 25.5850
## [262] 26.1255 27.0230 27.6500 28.4595 28.9070 29.3185 29.7200 29.9035 30.1080
## [271] 30.2905 30.4790 30.6780 30.8790 31.0820 31.2790 31.4785 31.6815 23.3165
## [280] 23.6020 23.8600 24.2090 24.5460 24.7585 24.9330 25.1470 25.3475 25.5455
## [289] 25.9065 26.3335 26.7580 27.1060 27.4875 36.1285 36.2950 36.3830 36.4675
## [298] 36.5670 36.6555 36.7190 36.7980 36.8895 36.9655 37.0560 37.1725 37.2730
## [307] 37.3560 37.4435 20.7815 21.6950 21.9300 22.7620 22.9225 21.7430 21.9775
## [316] 22.3335 22.5105 22.8025 22.9800 23.1515 23.2740 23.4735 23.5870 23.8625
## [325] 24.1575 24.4250 24.6185 34.7020 34.6910 34.7100 34.7935 34.8430 34.8705
## [334] 34.9570 35.0285 35.0965 35.1845 35.1760 35.2950 35.3445 35.3295 35.4405
## [343] 33.4400 33.5300 34.0465 34.0955 34.2025 34.2920 34.3640 34.4425 34.1200
## [352] 34.2000 34.3500 34.9390 35.0975 35.2635 35.3955 33.0125 33.0630 33.1275
## [361] 33.1685 33.2580 33.3655 33.4840 33.6005 33.6905 33.7955 33.9675 34.1190
## [370] 34.2755 34.4110 34.5700 27.4340 27.6145 27.7600 27.9370 28.8800 29.0190
## [379] 26.3630 27.6625 27.8665 28.0330 28.1910 28.4750 28.7430 29.0390 29.2995
## [388] 29.5930 24.9480 25.4855 25.6685 25.8500 26.1080 26.3370 26.5685 26.8020
## [397] 35.4110 35.4015 35.3660 35.3230 35.2905 35.4130 35.5145 35.5990 35.7135
## [406] 35.8035 35.8865 36.0180 36.1210 36.2135 33.8910 34.0945 34.2320 34.2585
## [415] 34.3210 34.4135 34.4095 34.5470 34.8360 35.1580 35.4455 35.7695 36.1185
## [424] 34.3605 36.1380 36.4675 36.5775 36.6425 36.7025 36.7380 36.8375 36.8640
## [433] 37.0280 37.1560 37.2470 37.3200 37.4315 33.9325 34.1195 34.4395 34.5135
## [442] 34.5600 34.6230 34.7300 34.8040 35.0750 35.3160 35.5450 36.1030 35.2855
## [451] 35.4260 35.5250 35.5945 35.6720 35.7775 35.8865 35.9900 36.1110 36.2205
## [460] 36.3740 36.5275 36.6675 36.8315 36.9690 27.0165 27.2145 27.5320 27.7230
## [469] 31.7690 31.9230 32.0440 32.1915 32.3120 32.4340 32.5400 32.6745 32.7925
## [478] 32.8780 33.0365 33.1775 33.3335 33.4885 33.6175 33.3755 33.4650 33.5400
## [487] 33.6785 33.7615 33.8740 33.9725 34.0335 34.0795 34.2005 34.3730 34.5395
## [496] 34.6845 34.8150 34.9645 30.2585 30.2145 29.9400 30.2755 30.2430 30.3750
## [505] 30.3860 30.4770 30.6090 30.7295 30.8780 30.9965 31.1910 31.3870 31.5350
## [514] 31.8015 31.9395 32.0980 32.2755 32.4345 32.5735 32.6415 32.7580 32.8890
## [523] 32.9665 33.1500 33.2790 33.4815 33.6385 33.8120 32.8045 33.0160 33.2110
## [532] 33.4255 33.8475 33.9585 34.1170 34.2565 34.4075 34.5215 34.6310 34.7430
## [541] 34.8435 34.9770 27.9880 28.2535 28.5470 28.9015 29.1220 29.3585 29.6200
## [550] 29.8770 30.1345 35.3645 35.5070 35.6580 35.7880 35.9005 36.0195 36.1465
## [559] 36.2650 36.3240 36.3810 36.4190 36.4740 36.5310 36.0975 36.1345 36.3365
## [568] 36.4090 36.5250 36.6515 36.7205 36.8390 36.9015 37.0085 37.0935 37.2170
## [577] 37.3080 37.4135 37.5115 28.1260 28.3630 28.7610 29.0635 29.4355 29.6995
## [586] 29.9260 30.2095 30.4680 27.7560 27.8595 27.9885 32.8365 32.7520 32.7870
## [595] 32.6875 32.6790 32.7460 32.7895 32.8510 32.8800 32.8700 32.7530 32.7605
## [604] 32.6375 32.5555 32.4320 35.5235 35.6405 35.6930 35.8020 35.8715 35.9430
## [613] 35.9820 36.0170 36.0595 36.0945 36.2355 36.3705 36.5385 36.6925 36.8320
## [622] 26.5945 26.8355 27.0290 27.2085 27.4955 27.6660 27.7695 28.0170 28.1485
## [631] 28.4260 28.5755 28.7915 29.0085 29.1935 29.4120 35.6170 35.7375 35.8715
## [640] 35.9920 36.0440 35.9965 36.0530 36.0545 36.1660 36.2410 36.3190 36.4820
## [649] 36.6070 36.6825 30.7015 30.8540 31.0250 31.2015 31.3980 31.6115 31.8425
## [658] 32.0320 32.1915 32.3845 32.5315 32.7075 32.8550 33.0005 25.5085 25.5430
## [667] 25.6765 25.7820 25.8830 26.4630 27.0190 27.5655 28.0955 28.9770 24.4545
## [676] 20.4225 16.3365 18.6365 20.9510 23.2950 25.5245 27.7490 27.8020 27.9920
## [685] 28.1455 32.5950 32.7280 32.8535 32.9605 33.0730 33.2515 33.3200 33.4290
## [694] 33.5380 33.5670 33.8250 33.9490 34.0360 34.1230 0.4550 0.4610 0.4590
## [703] 0.4450 0.4470 0.4400 0.4215 0.4000 0.4155 0.3635 0.3525 32.6485
## [712] 32.7690 32.9320 33.0570 33.1955 33.2445 33.3770 33.3670 33.4790 33.6770
## [721] 33.9305 34.1465 34.3990 34.5855 36.6025 36.8325 36.8815 36.9700 36.9760
## [730] 36.9695 36.9795 36.9745 28.2470 28.4345 28.6580 28.8295 29.0915 29.2690
## [739] 29.3045 29.5200 29.7045 29.8385 30.0600 30.2930 30.4950 30.6880 30.9030
## [748] 30.2765 30.2915 30.3580 30.5220 30.5500 30.7490 30.8050 30.9205 30.9995
## [757] 31.1395 31.2650 31.3825 31.4895 31.5830 31.3255 31.6465 31.8705 32.4690
## [766] 32.5720 32.6750 32.8135 32.9400 33.0865 33.2155 33.3015 33.4615 33.6000
## [775] 29.3530 29.6955 30.0095 29.8535 29.7175 29.4400 29.6430 29.4995 29.8330
## [784] 30.1140 30.3990 31.0500 35.5415 35.8570 35.9975 36.1780 36.2760 36.3010
## [793] 36.3420 36.4110 36.4460 36.4875 36.5525 36.5805 36.6460 36.6910 35.9685
## [802] 36.0615 36.2115 36.3365 36.4805 36.5910 36.6005 36.6595 36.6735 36.7265
## [811] 36.8360 36.9340 37.0125 37.1670 37.2655 36.3510 36.4720 36.4915 36.6605
## [820] 36.7690 36.7040 36.7250 36.7095 36.7920 36.7875 36.9120 37.0165 37.1250
## [829] 37.2545 37.3590 23.2700 23.9195 24.0905 24.2500 24.5345 24.8160 25.1065
## [838] 25.4180 25.7350 32.8190 33.5080 33.6265 33.6945 33.9805 34.1955 37.0340
## [847] 37.1180 37.1660 37.2050 37.2860 37.3970 37.4565 37.5805 37.6790 37.7660
## [856] 37.8180 37.8745 37.8865 37.9530 38.0030 31.7500 32.3130 32.1100 32.6155
## [865] 32.7440 32.8800 32.9965 33.1460 33.3145 33.4835 33.5855 33.6830 33.7810
## [874] 33.8630 33.9895 29.4655 29.7530 29.9635 30.2780 30.4925 30.7990 31.0400
## [883] 31.2710 31.5395 31.7700 32.0915 32.3725 32.7200 33.0260 33.3360 25.4180
## [892] 26.1450 26.7400 27.3820 28.0675 28.3845 28.6240 28.9440 29.2795 29.5465
## [901] 29.8245 30.1765 30.4605 30.7590 31.0010 0.1905 0.0000 0.2530 0.2255
## [910] 0.2945 0.3180 0.2840 0.2205 0.2805 0.4135 0.4290 0.4450 0.4205
## [919] 0.4400 32.3645 32.6295 32.6515 32.8345 33.0670 33.1255 32.9000 33.4610
## [928] 33.5705 33.6920 33.8835 30.3290 30.4720 30.6295 30.7595 30.9100 31.1340
## [937] 31.3215 31.5575 31.7580 32.0065 32.1570 32.3295 32.5225 32.6600 32.8175
## [946] 27.4225 27.6535 27.9230 28.5910 28.3000 29.5955 29.8035 30.0030 30.2075
## [955] 31.9005 32.1100 32.2550 32.3385 32.7120 32.8420 33.0055 33.1555 33.2780
## [964] 33.4425 33.6000 33.7040 33.8990 34.1100 32.6515 32.6950 32.7420 32.8725
## [973] 32.9390 32.9685 32.9905 33.0475 33.0885 33.0985 33.3785 33.6025 33.8535
## [982] 34.0235 23.1790 23.6645 24.0285 24.7080 24.9650 25.3420 26.2095 26.9350
## [991] 27.1855 27.6315 28.0165 28.4330 28.8030 31.6860 31.5375 31.5610 31.5395
## [1000] 31.5405 31.5310 31.8535 32.0350 32.2205 32.3280 32.5095 32.6330 32.7015
## [1009] 32.8280 32.9040 33.0705 33.3570 33.7245 33.9995 34.3400 34.6620 36.1895
## [1018] 36.3040 36.4210 36.4885 36.5150 36.6790 36.7660 36.7410 36.7515 36.7420
## [1027] 36.7650 27.0200 27.6260 28.3830 28.5635 28.7700 29.0045 29.2225 29.4350
## [1036] 29.6350 29.8255 30.0250 22.8235 23.5850 24.9495 26.0765 26.5385 27.1060
## [1045] 27.6330 28.1505 28.5050 28.8740 29.1995 29.5325 32.8985 32.9820 33.0300
## [1054] 33.1570 33.1845 33.3000 33.3840 33.4355 33.5240 33.5375 33.9375 34.0580
## [1063] 35.7275 23.2375 23.8275 24.2070 24.5745 24.7915 24.9120 25.0725 25.2460
## [1072] 25.4170 25.6980 25.9765 26.2185 26.4350 36.0915 36.2010 36.3010 36.3505
## [1081] 36.4345 36.4920 36.5560 36.5580 36.5620 36.5635 36.5620 36.5655 27.1165
## [1090] 27.2665 27.4775 27.5845 27.6935 27.8135 28.0315 28.1240 28.2735 28.4335
## [1099] 28.6135 28.7335 28.9640 32.7740 33.0620 33.3095 33.5060 33.6335 33.7965
## [1108] 33.9215 33.5070 33.4950 33.5285 33.5610 33.6390 33.7555 33.8240 33.8895
## [1117] 33.9995 34.0595 34.2260 34.4305 34.5580 34.7515 34.8865 30.5670 30.7280
## [1126] 30.7905 30.8355 30.9490 31.1240 31.2710 31.4590 31.6015 31.7475 32.0785
## [1135] 32.4265 32.9120 33.2420 33.6295 29.8005 29.8820 30.4155 30.6000 30.7440
## [1144] 30.9240 31.0760 31.1930 31.3300 31.3875 31.4980 31.6055 31.7090 33.3560
## [1153] 33.6780 33.8260 33.9030 33.9410 34.0410 34.1215 34.2415 34.3345 34.4630
## [1162] 34.5630 34.6970 34.8510 32.0815 32.1895 32.4285 32.4860 32.8565 33.0585
## [1171] 33.2070 33.3365 33.4785 33.6595 22.7420 23.0715 23.3570 24.4795 26.0065
## [1180] 27.0115 27.5485 28.0350 28.8555 29.0775 28.8700 29.4540 29.6385 29.7930
## [1189] 29.9530 30.0995 30.2125 25.2305 28.0045 28.5050 28.6270 28.7695 28.8830
## [1198] 28.9445 29.0565 29.4090 29.6580 29.8595 29.9625 30.1190 30.2610 30.3560
## [1207] 30.4815 31.0695 31.6225 32.1350 32.6950 35.6505 35.8480 35.9415 36.1605
## [1216] 36.2225 36.2585 36.3395 36.3950 36.4520 36.5035 36.5600 36.6100 36.6430
## [1225] 36.7175 36.0660 36.1390 36.2465 36.4590 36.5275 36.5710 36.6520 36.7060
## [1234] 36.7710 36.8635 36.9710 37.0745 37.1560 37.2590 32.4425 32.6580 32.8055
## [1243] 32.9530 33.1460 33.2495 33.3950 33.5095 33.5985 33.7045 33.8085 34.0610
## [1252] 34.1485 34.3415 23.5550 23.8520 24.2645 24.7600 25.1085 25.3500 25.5870
## [1261] 25.8925 26.0840 26.3640 26.6010 26.8420 27.1455 27.4155 22.3845 22.6375
## [1270] 22.8720 23.1085 23.3825 23.8860 24.1010 24.5900 24.8490 25.0630 25.2450
## [1279] 25.4145 25.6065 0.3465 0.3875 0.4150 0.3925 0.3980 0.3985 0.3965
## [1288] 32.2670 32.4505 32.5075 32.6340 32.7120 32.7915 32.8490 32.9025 32.9655
## [1297] 33.0275 33.0670 33.0995 33.1735 36.1400 36.2535 36.5935 36.8180 36.9240
## [1306] 36.9770 37.0265 37.0800 37.1270 37.1825 33.2080 27.4150 27.6980 27.8675
## [1315] 28.0940 28.2820 28.3980 28.5035 28.6540 28.8115 28.9435 29.1670 29.4065
## [1324] 29.6365 29.7925 31.1635 31.1310 31.1865 31.3000 31.3770 0.2610 0.2710
## [1333] 0.2270 0.3285 0.2780 0.3040 0.3160 0.3275 0.3265 34.3910 34.3200
## [1342] 34.4035 34.4605 34.5275 34.6645 34.7415 34.8555 34.9970 35.0735 35.1420
## [1351] 35.2000 35.2305 35.2915 32.1555 32.2695 32.3545 32.4990 32.6130 32.6430
## [1360] 32.7440 32.8845 32.8695 32.9530 33.0770 33.1955 33.3880 33.0040 33.1090
## [1369] 33.2290 33.3490 33.5285 33.6265 33.6815 33.7715 33.8710 34.0010 34.1650
## [1378] 34.3135 34.4650 34.6075 30.3140 30.4260 30.5305 30.6370 30.7465 30.8415
## [1387] 30.9570 31.0535 31.1510 31.2560 31.3040 31.3630 31.4090 31.4550 31.5160
## [1396] 33.5410 33.7360 33.9605 34.0475 34.1640 34.2155 34.2780 34.4075 34.4465
## [1405] 34.6855 34.8655 35.0850 35.2915 35.4335 35.3610 35.4830 35.7605 35.9375
## [1414] 35.9870 36.0940 36.2235 36.3000 36.4190 36.5525 36.6385 36.7410 36.8565
## [1423] 33.7225 33.3500 33.9625 34.1320 34.1500 32.4000 32.5830 32.7830 32.8830
## [1432] 33.0350 33.1425 33.2575 33.4170 33.5480 33.7110 33.8695 34.0225 34.1740
## [1441] 29.6615 29.9265 30.2415 30.5185 30.8065 31.0230 31.2245 31.4605 31.7120
## [1450] 31.8925 32.1070 32.3155 32.5145 32.7075 32.9070 25.3975 26.8960 27.6930
## [1459] 28.8245 29.1375 29.4820 29.7870 30.1040 30.4055 30.7040 31.0120 31.2845
## [1468] 31.7500 32.2410 32.2860 32.4295 32.5390 32.6015 32.6800 32.8305 32.9810
## [1477] 33.1100 33.2370 33.4070 33.5775 33.7455 33.8920 27.0580 27.3790 27.6760
## [1486] 27.9885 28.4385 28.6005 28.8440 29.0580 29.3160 29.5600 29.7720 29.9435
## [1495] 30.1145 30.3795 33.0265 33.1865 33.3315 33.4000 33.4905 33.6065 33.6860
## [1504] 33.7730 34.0070 34.2425 34.4700 34.6765 34.9215 20.4895 20.9600 21.4080
## [1513] 22.3130 22.5450 22.9400 23.1305 23.3120 24.1405 24.9555 25.7580 26.5590
## [1522] 37.1785 37.3835 37.4305 37.6380 37.8230 37.9210 38.1435 38.2575 38.3935
## [1531] 38.5520 38.7130 38.8580 39.0190 33.2710 33.7180 33.8835 33.9500 34.0590
## [1540] 34.1975 34.2935 34.5000 34.6570 34.8290 34.9855 35.1310 34.4680 34.8980
## [1549] 35.0480 35.1535 35.2520 35.3450 35.4440 35.5480 35.7020 35.8605 36.0210
## [1558] 36.1725 36.3290 25.2370 25.5340 25.4585 0.3730 0.4100 0.4290 0.3790
## [1567] 24.3345 24.6650 25.0045 25.3095 25.6195 26.1475 26.5050 27.0470 27.5670
## [1576] 28.0810 28.2370 28.4435 28.6265 28.8190 29.0285 35.4575 35.5780 35.6620
## [1585] 35.8500 36.0385 36.1710 36.2690 36.4110 36.5315 36.6580 36.7955 36.9190
## [1594] 37.1000 37.3030 37.4555 25.2035 25.3560 25.5200 25.7280 36.2080 36.4210
## [1603] 36.5870 36.6845 36.8480 36.9195 36.9475 37.0095 37.0590 37.1160 37.2840
## [1612] 37.4280 37.5610 37.7390 37.8915 33.2520 33.2980 33.3870 33.4095 33.4190
## [1621] 33.5115 33.5500 33.6170 33.6840 33.7510 33.9135 34.0295 34.1120 27.2050
## [1630] 27.3240 27.4315 27.4860 27.7550 31.5625 20.7075 25.5315 25.9335 36.0820
## [1639] 36.1950 36.2660 36.3120 36.4025 36.4605 36.5020 36.5380 36.5825 36.6175
## [1648] 36.6590 36.7175 36.7710 36.8210 36.8755 36.2295 36.5755 36.8625 37.0045
## [1657] 37.0640 37.2170 37.3625 37.5130 37.6565 37.8085 32.2805 32.3740 32.3735
## [1666] 31.4250 30.5035 29.6075 27.8240 34.6550 34.8910 35.1385 0.3805 0.3490
## [1675] 0.3450 0.3465 0.3505 0.3595 0.3800 0.3705 0.4070 0.3995 30.6710
## [1684] 30.9490 31.1680 31.3520 31.5920 31.6680 31.7345 31.7865 31.9465 32.0235
## [1693] 32.1015 32.3160 32.0500 32.2000 32.3500 24.7435 25.1580 25.5310 26.0035
## [1702] 26.4485 26.8880 27.1785 27.5870 27.9570 28.3795 28.6375 28.9000 29.1535
## [1711] 29.4250 29.6650 32.5015 32.6750 32.8440 33.0140 33.1800 33.3235 33.3935
## [1720] 33.4705 33.6400 33.7425 33.8620 33.9615 34.0525 34.1490 34.2200 24.9440
## [1729] 25.2335 26.0820 26.8415 27.1360 27.3150 27.5085 27.6560 27.8585 31.3000
## [1738] 31.4590 31.6575 31.8335 32.1795 32.8705 32.8620 32.9415 33.0140 33.0880
## [1747] 33.2045 33.3555 33.4570 33.5390 33.7750 33.9295 34.0840 31.6115 31.8895
## [1756] 32.0475 32.2480 32.4575 32.5430 32.6755 32.8305 33.0045 33.1265 33.3220
## [1765] 33.5220 33.6645 33.9155 34.0550 29.7200 30.0200 30.5330 30.6125 30.7825
## [1774] 30.8505 31.0745 31.2600 31.5290 31.7460 23.6135 24.0840 24.5090 25.0900
## [1783] 25.6005 25.9765 26.3445 26.8115 27.2570 27.6290 27.8195 28.0360 28.2145
## [1792] 28.4020 28.5935 30.3720 30.5670 30.8235 31.0700 31.3420 31.5395 31.6820
## [1801] 31.8345 31.9665 32.0655 32.2515 32.4495 32.6315 32.8075 32.9920 33.4090
## [1810] 33.5645 33.6390 33.6545 33.6800 33.6980 33.2400 33.7075 33.8245 33.9310
## [1819] 34.0220 34.1055 34.2210 35.4110 35.6490 35.7495 35.9180 36.0705 36.1400
## [1828] 36.1745 36.2225 36.2385 36.2665 36.3605 36.4565 36.5690 36.6770 36.7925
## [1837] 34.4855 34.5460 34.6290 34.6855 34.7640 34.7715 34.7415 34.7160 34.7430
## [1846] 34.7245 34.6290 34.6340 34.5625 34.5180 34.4750 34.1235 34.1830 34.2640
## [1855] 34.3425 34.4160 34.4955 34.5755 34.6540 34.7320 34.8085 34.8430 34.8990
## [1864] 34.9380 35.0015 35.0540 31.1120 31.5755 31.3800 31.6000 32.1670 32.2570
## [1873] 32.3750 32.4770 32.5900 32.7420 32.8925 33.0350 33.1850 33.1190 33.1290
## [1882] 33.1290 33.1585 33.2340 33.2530 33.2920 33.2310 33.2150 33.2060 33.2790
## [1891] 33.4680 33.5555 33.6630 33.7560 33.3730 33.4690 33.5345 33.5870 33.6655
## [1900] 33.7390 33.8380 33.9500 33.5700 33.6500 34.1970 33.8500 34.4045 34.5260
## [1909] 27.0365 27.3220 27.4795 27.4690 27.5030 27.4215 27.4820 27.4550 27.8165
## [1918] 28.2475 28.6265 29.0755 22.4905 23.2010 23.9485 24.6680 25.7515 26.1840
## [1927] 26.5450 26.9360 27.2795 27.5560 27.8115 28.0455 28.3055 28.5250 21.0055
## [1936] 21.6580 22.2420 22.9155 23.6825 24.3765 25.0050 25.7680 26.5110 27.2335
## [1945] 27.5665 27.8765 28.1815 28.4160 28.7215apply(df1[ , 10:11], 2, median)## Positive.affect Negative.affect
## 0.718 0.257apply(df1[ , 8:9], 2, median)## Generosity Perceptions.of.corruption
## -0.016 0.793apply(df1[ , 10:11], 1, median)## [1] 0.3880 0.4105 0.4465 0.4390 0.4890 0.4470 0.4535 0.4465 0.4565 0.4335
## [11] 0.4145 0.4265 0.3995 0.4595 0.4740 0.4425 0.4390 0.4860 0.5100 0.5190
## [21] 0.4985 0.5015 0.5160 0.4775 0.4720 0.0000 0.4025 0.4170 0.4015 0.5190
## [31] 0.4655 0.4420 0.4000 0.5100 0.4315 0.5145 0.4735 0.5765 0.5535 0.5705
## [41] 0.5505 0.5285 0.5360 0.5645 0.5480 0.5475 0.5820 0.5770 0.5505 0.5705
## [51] 0.5725 0.5530 0.4815 0.4595 0.4530 0.4770 0.4680 0.4670 0.4910 0.5060
## [61] 0.4925 0.5160 0.5155 0.5310 0.5180 0.5140 0.5405 0.5205 0.5220 0.5270
## [71] 0.5055 0.5125 0.4980 0.5100 0.5000 0.5135 0.5025 0.4730 0.4860 0.4870
## [81] 0.4985 0.5025 0.4855 0.4670 0.4895 0.4750 0.4750 0.4810 0.4765 0.4640
## [91] 0.4890 0.4895 0.4875 0.3940 0.4025 0.4025 0.3890 0.3995 0.3970 0.4100
## [101] 0.4305 0.4090 0.4065 0.3945 0.3950 0.3920 0.4035 0.5930 0.5540 0.5290
## [111] 0.4850 0.5370 0.0000 0.5095 0.5350 0.5520 0.5395 0.5435 0.4605 0.4740
## [121] 0.4785 0.4465 0.4605 0.4600 0.4485 0.4325 0.1155 0.4305 0.3975 0.3915
## [131] 0.4510 0.4530 0.4570 0.4370 0.4155 0.1230 0.3945 0.3875 0.3850 0.3520
## [141] 0.4075 0.4140 0.3840 0.3680 0.3870 0.3430 0.3905 0.5280 0.5155 0.5275
## [151] 0.5340 0.5300 0.5290 0.5070 0.5250 0.5225 0.5125 0.5100 0.5000 0.4885
## [161] 0.4535 0.5050 0.5185 0.4480 0.4435 0.4225 0.4070 0.4590 0.4315 0.4825
## [171] 0.5320 0.5365 0.5575 0.5500 0.4570 0.4980 0.5915 0.5610 0.5855 0.5795
## [181] 0.5865 0.5845 0.5580 0.5610 0.5955 0.5845 0.6035 0.5895 0.5795 0.5660
## [191] 0.5645 0.5850 0.5860 0.4545 0.4810 0.4630 0.4610 0.4430 0.4295 0.3965
## [201] 0.4100 0.4725 0.4340 0.4600 0.4355 0.4845 0.4570 0.4745 0.4310 0.4495
## [211] 0.4720 0.4710 0.4595 0.5035 0.4690 0.4660 0.4985 0.4925 0.5600 0.5790
## [221] 0.5425 0.5535 0.5335 0.5375 0.5525 0.5470 0.5310 0.5400 0.5325 0.5120
## [231] 0.5500 0.5490 0.5405 0.4100 0.3920 0.4025 0.4050 0.4505 0.4320 0.4285
## [241] 0.3970 0.4015 0.4140 0.4315 0.4635 0.4910 0.4660 0.4135 0.4035 0.3920
## [251] 0.4225 0.4585 0.4350 0.4690 0.4765 0.4695 0.5270 0.5280 0.3465 0.4025
## [261] 0.4395 0.4535 0.5145 0.5300 0.1600 0.5370 0.4920 0.5980 0.5535 0.5860
## [271] 0.6160 0.6325 0.6060 0.6185 0.6035 0.6295 0.6170 0.6340 0.4385 0.4420
## [281] 0.4560 0.4215 0.4400 0.4350 0.4510 0.4745 0.4195 0.4985 0.5145 0.5045
## [291] 0.4990 0.4775 0.5080 0.5360 0.5645 0.5460 0.5575 0.5560 0.5645 0.5430
## [301] 0.5570 0.5460 0.5655 0.5310 0.5405 0.5415 0.5535 0.5515 0.4490 0.3900
## [311] 0.4005 0.5365 0.6065 0.4215 0.4295 0.3970 0.3890 0.4160 0.4400 0.4215
## [321] 0.3880 0.4325 0.4825 0.5250 0.5830 0.5485 0.5235 0.5760 0.5545 0.5435
## [331] 0.5540 0.5545 0.5605 0.5515 0.5700 0.5730 0.5680 0.5760 0.5645 0.5545
## [341] 0.5730 0.5755 0.4895 0.4880 0.4820 0.4740 0.4615 0.4770 0.4900 0.4890
## [351] 0.4830 0.4900 0.4860 0.5175 0.5230 0.5190 0.5170 0.5630 0.5475 0.5550
## [361] 0.5580 0.5480 0.5590 0.5700 0.5645 0.5625 0.5655 0.5440 0.5680 0.5630
## [371] 0.5720 0.5675 0.4195 0.4530 0.4200 0.4120 0.5425 0.5360 0.4355 0.4545
## [381] 0.4435 0.4505 0.4975 0.4335 0.4570 0.4905 0.5180 0.5250 0.3870 0.4125
## [391] 0.4320 0.3880 0.4320 0.4450 0.4340 0.4775 0.5520 0.5575 0.5385 0.5465
## [401] 0.5535 0.5725 0.5800 0.5640 0.5635 0.5680 0.5775 0.5745 0.5980 0.5755
## [411] 0.4615 0.4545 0.4330 0.4355 0.4465 0.4375 0.4410 0.4515 0.4755 0.4855
## [421] 0.4360 0.4100 0.5145 0.4620 0.5410 0.5375 0.5410 0.5175 0.5620 0.5840
## [431] 0.5670 0.5650 0.5390 0.5425 0.5240 0.5265 0.5215 0.4905 0.5065 0.4425
## [441] 0.4270 0.4330 0.4865 0.4565 0.4785 0.4785 0.4830 0.4460 0.5610 0.5070
## [451] 0.5110 0.4600 0.4915 0.4700 0.4720 0.4915 0.5285 0.5325 0.5235 0.5220
## [461] 0.5150 0.5135 0.5215 0.5225 0.4375 0.4470 0.0000 0.3800 0.5110 0.5135
## [471] 0.5305 0.5325 0.5345 0.5545 0.5470 0.5440 0.5490 0.5045 0.5190 0.5070
## [481] 0.5180 0.5240 0.5240 0.5910 0.5595 0.5630 0.5480 0.5230 0.5665 0.5900
## [491] 0.5590 0.5825 0.5870 0.6055 0.5715 0.6020 0.5925 0.6030 0.5405 0.5100
## [501] 0.4920 0.4905 0.4215 0.4410 0.4625 0.5170 0.4350 0.4770 0.4905 0.4765
## [511] 0.3885 0.4150 0.5205 0.5485 0.5445 0.5370 0.5465 0.5580 0.6055 0.5980
## [521] 0.5725 0.5835 0.5795 0.5535 0.5585 0.5650 0.5710 0.5840 0.4350 0.4210
## [531] 0.4075 0.4205 0.4280 0.4230 0.4505 0.4415 0.4530 0.4515 0.4825 0.4790
## [541] 0.4800 0.4975 0.4025 0.4280 0.5205 0.4755 0.4905 0.4565 0.4660 0.4570
## [551] 0.4605 0.4470 0.4585 0.5170 0.4890 0.4990 0.4820 0.4915 0.4710 0.4895
## [561] 0.4815 0.4820 0.4680 0.4685 0.4970 0.5330 0.5135 0.5330 0.5255 0.5310
## [571] 0.5035 0.5025 0.5135 0.5005 0.5215 0.5020 0.5245 0.4925 0.4815 0.4275
## [581] 0.3680 0.3985 0.4160 0.4990 0.5360 0.5400 0.5295 0.5530 0.5575 0.5915
## [591] 0.5870 0.3510 0.3315 0.3515 0.3670 0.3725 0.3810 0.4045 0.3975 0.3870
## [601] 0.3900 0.3935 0.3955 0.4085 0.4240 0.4530 0.4865 0.4815 0.5035 0.4990
## [611] 0.4880 0.4795 0.4870 0.4740 0.4865 0.4840 0.4625 0.4665 0.5115 0.4885
## [621] 0.4830 0.4345 0.4515 0.4445 0.4860 0.4835 0.4765 0.4560 0.4510 0.4880
## [631] 0.4775 0.4865 0.4755 0.4985 0.4760 0.4830 0.4780 0.4800 0.4515 0.4630
## [641] 0.4570 0.4665 0.5855 0.5400 0.5085 0.5185 0.4680 0.4605 0.4520 0.5030
## [651] 0.5525 0.5215 0.5340 0.5345 0.5430 0.5665 0.6060 0.6000 0.5700 0.5810
## [661] 0.5835 0.5770 0.5665 0.5850 0.4805 0.4810 0.4740 0.4900 0.4675 0.5305
## [671] 0.5630 0.5920 0.5790 0.5320 0.4725 0.4320 0.4240 0.4350 0.4385 0.4325
## [681] 0.4600 0.4760 0.4600 0.4475 0.4715 0.5065 0.4790 0.4975 0.5320 0.5285
## [691] 0.5615 0.5705 0.5500 0.5595 0.5870 0.5645 0.5450 0.5795 0.5645 0.4795
## [701] 0.4780 0.4860 0.4465 0.4650 0.4490 0.4635 0.4385 0.4205 0.4785 0.4095
## [711] 0.4825 0.4655 0.4460 0.4455 0.4735 0.4835 0.5065 0.4445 0.4760 0.4545
## [721] 0.4580 0.4385 0.4615 0.4875 0.5165 0.5285 0.5130 0.5145 0.5160 0.5215
## [731] 0.5070 0.5175 0.4430 0.4605 0.4665 0.5360 0.4820 0.4400 0.4620 0.5050
## [741] 0.4980 0.5115 0.5205 0.5000 0.5070 0.5570 0.5675 0.5455 0.5270 0.5065
## [751] 0.5290 0.5275 0.5685 0.5630 0.5710 0.5470 0.5750 0.5875 0.5910 0.5800
## [761] 0.5895 0.5320 0.4935 0.4845 0.4685 0.5670 0.6055 0.5650 0.5825 0.6065
## [771] 0.5665 0.5230 0.5245 0.5260 0.4865 0.4635 0.4865 0.5225 0.4360 0.2770
## [781] 0.5690 0.5355 0.5295 0.5480 0.5435 0.5880 0.5435 0.5115 0.5475 0.5385
## [791] 0.5275 0.5360 0.5295 0.5065 0.5120 0.5100 0.5230 0.5120 0.5150 0.5215
## [801] 0.5020 0.5080 0.5295 0.5110 0.5205 0.5610 0.4920 0.5535 0.4375 0.4765
## [811] 0.4460 0.4750 0.4725 0.4505 0.4320 0.4870 0.5095 0.4525 0.5270 0.4160
## [821] 0.4620 0.5290 0.5680 0.5360 0.5105 0.5120 0.4920 0.5260 0.4795 0.4905
## [831] 0.3950 0.5245 0.4690 0.5055 0.5410 0.5275 0.5340 0.5495 0.5165 0.4945
## [841] 0.5365 0.5230 0.5235 0.5060 0.4735 0.4460 0.4690 0.4855 0.4770 0.5075
## [851] 0.4785 0.4740 0.4845 0.4655 0.4720 0.4760 0.4580 0.4440 0.4685 0.4640
## [861] 0.4680 0.4615 0.5000 0.4550 0.4930 0.4360 0.4550 0.4850 0.4865 0.4975
## [871] 0.4765 0.5100 0.0000 0.0000 0.0000 0.4270 0.4150 0.4175 0.4040 0.4205
## [881] 0.4245 0.4620 0.4190 0.4435 0.4520 0.4285 0.4640 0.4275 0.4630 0.4170
## [891] 0.4515 0.4435 0.4605 0.4775 0.4710 0.4940 0.4505 0.4630 0.5175 0.4370
## [901] 0.4845 0.5090 0.4980 0.5010 0.5150 0.4460 0.1590 0.3835 0.4065 0.4100
## [911] 0.3480 0.4475 0.4210 0.4665 0.4270 0.4620 0.4740 0.4450 0.4635 0.5140
## [921] 0.4850 0.4605 0.4850 0.4580 0.5175 0.0000 0.5235 0.5015 0.4995 0.4990
## [931] 0.4070 0.3925 0.3850 0.3860 0.3865 0.4160 0.4365 0.4285 0.4550 0.4700
## [941] 0.4520 0.4575 0.4830 0.4865 0.5305 0.5245 0.4985 0.5155 0.5625 0.6520
## [951] 0.6085 0.5920 0.5920 0.5900 0.4440 0.4600 0.4270 0.3835 0.3925 0.3960
## [961] 0.4345 0.4390 0.4180 0.4425 0.4275 0.3885 0.3935 0.4580 0.4380 0.4340
## [971] 0.4460 0.4645 0.4330 0.4490 0.4190 0.4540 0.4130 0.4055 0.4080 0.3795
## [981] 0.3675 0.4080 0.4815 0.5010 0.5005 0.5040 0.5240 0.4230 0.4060 0.4930
## [991] 0.4465 0.5725 0.5295 0.5480 0.5125 0.5055 0.5365 0.5505 0.5380 0.5525
## [1001] 0.5550 0.4375 0.4340 0.4045 0.3985 0.3725 0.4225 0.4290 0.4375 0.4530
## [1011] 0.4355 0.4220 0.4015 0.3655 0.4210 0.4310 0.5185 0.5125 0.5180 0.5210
## [1021] 0.4125 0.4865 0.4750 0.4750 0.4750 0.4760 0.5005 0.4315 0.4145 0.3725
## [1031] 0.4420 0.4875 0.4700 0.5140 0.5085 0.5635 0.5570 0.5135 0.4460 0.4515
## [1041] 0.4475 0.4905 0.5080 0.5280 0.4835 0.4465 0.4640 0.4605 0.4755 0.4425
## [1051] 0.4965 0.4685 0.5005 0.4930 0.5120 0.5210 0.5220 0.5265 0.5155 0.5445
## [1061] 0.5120 0.5050 0.0000 0.4880 0.4230 0.4550 0.4795 0.4450 0.3950 0.4585
## [1071] 0.4635 0.4760 0.5560 0.5675 0.5700 0.5350 0.5365 0.5360 0.5380 0.5675
## [1081] 0.5150 0.5020 0.5175 0.5210 0.5115 0.5085 0.5315 0.5060 0.4535 0.4540
## [1091] 0.4540 0.4535 0.4685 0.4730 0.4945 0.4590 0.5070 0.4785 0.4545 0.4695
## [1101] 0.4760 0.4955 0.5150 0.5155 0.4585 0.4660 0.4785 0.4525 0.5195 0.5320
## [1111] 0.5130 0.5225 0.5275 0.5090 0.5310 0.5065 0.5155 0.4910 0.5395 0.5370
## [1121] 0.5475 0.5580 0.5510 0.4370 0.4385 0.4340 0.4340 0.4310 0.4265 0.4410
## [1131] 0.4215 0.4215 0.4355 0.4480 0.4200 0.4260 0.4465 0.4975 0.3870 0.3795
## [1141] 0.4310 0.4225 0.4350 0.4140 0.3985 0.4305 0.4325 0.4445 0.4230 0.4370
## [1151] 0.4480 0.4595 0.5230 0.5025 0.4905 0.4765 0.4350 0.4775 0.4585 0.4640
## [1161] 0.4345 0.4725 0.4785 0.5070 0.0000 0.4615 0.4840 0.5115 0.4615 0.4590
## [1171] 0.4410 0.5270 0.4995 0.4215 0.4750 0.4370 0.4515 0.4175 0.4520 0.5005
## [1181] 0.5185 0.4855 0.4845 0.5100 0.4850 0.5690 0.5530 0.5140 0.5385 0.5205
## [1191] 0.5445 0.4855 0.4940 0.4990 0.4895 0.4640 0.4480 0.4440 0.3975 0.4490
## [1201] 0.3925 0.4490 0.4530 0.4835 0.4540 0.4505 0.4505 0.4985 0.4735 0.4620
## [1211] 0.4465 0.5510 0.5155 0.4850 0.5295 0.5220 0.5435 0.5510 0.5445 0.5180
## [1221] 0.5265 0.5185 0.5335 0.5345 0.5155 0.5495 0.5460 0.5430 0.5410 0.5370
## [1231] 0.5365 0.4930 0.5235 0.4970 0.5200 0.4945 0.5065 0.5035 0.5290 0.5365
## [1241] 0.5485 0.5365 0.5400 0.5365 0.5500 0.5290 0.5550 0.5735 0.5715 0.5925
## [1251] 0.5790 0.6005 0.5860 0.4670 0.4320 0.4220 0.4225 0.4355 0.4330 0.3725
## [1261] 0.4290 0.4415 0.4500 0.5000 0.5790 0.6370 0.5600 0.4795 0.4835 0.4920
## [1271] 0.4850 0.4860 0.5100 0.4620 0.4840 0.4920 0.4805 0.5305 0.4800 0.5300
## [1281] 0.5570 0.5325 0.5175 0.5105 0.4950 0.3710 0.3950 0.4270 0.4730 0.4405
## [1291] 0.4755 0.5320 0.4545 0.4720 0.4595 0.4655 0.4005 0.4440 0.4400 0.4850
## [1301] 0.5145 0.4735 0.5180 0.5140 0.5260 0.5295 0.5260 0.5195 0.5090 0.5195
## [1311] 0.1475 0.1185 0.4965 0.4880 0.4940 0.5115 0.4930 0.4985 0.4360 0.4400
## [1321] 0.4520 0.4900 0.4470 0.4720 0.5025 0.4640 0.4890 0.4870 0.5050 0.5045
## [1331] 0.4775 0.4975 0.4795 0.4725 0.4815 0.4855 0.5065 0.5145 0.5125 0.5385
## [1341] 0.4845 0.4845 0.5135 0.5170 0.5325 0.5380 0.5475 0.5310 0.5325 0.5510
## [1351] 0.5375 0.5535 0.5610 0.5595 0.5430 0.5540 0.5090 0.5155 0.5000 0.5250
## [1361] 0.5715 0.5800 0.5425 0.5610 0.5675 0.5665 0.5585 0.5595 0.5585 0.5655
## [1371] 0.5650 0.5555 0.5775 0.5840 0.5390 0.5660 0.5800 0.5915 0.5945 0.5975
## [1381] 0.4160 0.5810 0.5945 0.5785 0.5850 0.6045 0.6080 0.5655 0.5735 0.5780
## [1391] 0.5555 0.5550 0.5830 0.5610 0.5655 0.4985 0.4990 0.4680 0.4855 0.4745
## [1401] 0.5270 0.5130 0.5000 0.4870 0.5005 0.4400 0.4590 0.4465 0.5445 0.5210
## [1411] 0.5060 0.5035 0.5020 0.5495 0.5240 0.5315 0.5140 0.5050 0.4715 0.4985
## [1421] 0.5050 0.5155 0.4680 0.0000 0.5445 0.5440 0.0000 0.4940 0.4605 0.4090
## [1431] 0.4700 0.4185 0.4495 0.4845 0.4925 0.5130 0.4760 0.4825 0.5165 0.4705
## [1441] 0.4215 0.4080 0.3800 0.3675 0.3800 0.3830 0.3925 0.4300 0.4195 0.4045
## [1451] 0.3890 0.4525 0.4360 0.4455 0.4175 0.4620 0.4320 0.3950 0.4095 0.4175
## [1461] 0.4635 0.4485 0.4635 0.5185 0.5600 0.5505 0.5770 0.4865 0.5020 0.4560
## [1471] 0.5305 0.4710 0.4830 0.4700 0.5100 0.5090 0.5255 0.5295 0.5405 0.5260
## [1481] 0.4850 0.5025 0.4825 0.4565 0.4625 0.4925 0.4560 0.4660 0.4925 0.4225
## [1491] 0.4410 0.4595 0.5145 0.5185 0.4805 0.5605 0.4550 0.4895 0.4735 0.4775
## [1501] 0.4425 0.4660 0.4120 0.3995 0.4165 0.4180 0.4275 0.3755 0.4805 0.4430
## [1511] 0.4360 0.4520 0.4020 0.3730 0.4720 0.4520 0.5195 0.5200 0.5475 0.5090
## [1521] 0.4755 0.5090 0.4070 0.4885 0.3540 0.3665 0.3135 0.4590 0.5105 0.4725
## [1531] 0.4675 0.4895 0.4470 0.4305 0.4930 0.4715 0.4620 0.4790 0.4875 0.4850
## [1541] 0.4915 0.5030 0.5005 0.5035 0.5010 0.5190 0.4795 0.4720 0.4830 0.4685
## [1551] 0.4700 0.4545 0.4555 0.4600 0.4490 0.4505 0.4595 0.4535 0.4620 0.5205
## [1561] 0.5440 0.5420 0.4655 0.4260 0.4355 0.4435 0.5125 0.4725 0.4895 0.4790
## [1571] 0.4590 0.4965 0.4695 0.4700 0.5205 0.4710 0.5435 0.5265 0.5475 0.5345
## [1581] 0.5570 0.4945 0.4580 0.4410 0.4530 0.3960 0.4120 0.4350 0.4325 0.4680
## [1591] 0.4470 0.4545 0.4290 0.4390 0.4600 0.4435 0.5210 0.5180 0.5820 0.5515
## [1601] 0.5085 0.5135 0.5160 0.5440 0.5230 0.5465 0.5575 0.5340 0.5255 0.5085
## [1611] 0.4770 0.4635 0.5080 0.4895 0.5015 0.4865 0.4645 0.4715 0.4710 0.4930
## [1621] 0.5000 0.5305 0.5340 0.5150 0.5415 0.5325 0.5665 0.5655 0.4895 0.4450
## [1631] 0.4175 0.4090 0.4220 0.5070 0.5360 0.5380 0.5290 0.4955 0.4865 0.4690
## [1641] 0.4855 0.5165 0.4970 0.5125 0.5065 0.5220 0.5045 0.5085 0.4945 0.4920
## [1651] 0.5140 0.4940 0.5165 0.5080 0.5175 0.5060 0.4875 0.4925 0.4850 0.4920
## [1661] 0.4845 0.4810 0.4735 0.4330 0.3915 0.5475 0.5845 0.5045 0.5060 0.4540
## [1671] 0.4815 0.4905 0.4695 0.4805 0.4850 0.4785 0.4805 0.4705 0.4755 0.4705
## [1681] 0.4765 0.4640 0.3805 0.4135 0.3830 0.4040 0.4175 0.4320 0.4560 0.4235
## [1691] 0.4260 0.4425 0.4320 0.4405 0.4575 0.4535 0.5465 0.4785 0.4875 0.4610
## [1701] 0.4695 0.4315 0.4550 0.4370 0.4645 0.4860 0.4055 0.4700 0.4850 0.4915
## [1711] 0.4845 0.4785 0.4890 0.5060 0.4820 0.5320 0.5415 0.5255 0.4965 0.4935
## [1721] 0.4900 0.5420 0.5265 0.5240 0.5205 0.5255 0.5545 0.4815 0.3705 0.4375
## [1731] 0.5130 0.5075 0.5435 0.5200 0.5270 0.5170 0.5135 0.5005 0.5200 0.5595
## [1741] 0.5470 0.0000 0.4870 0.4180 0.4240 0.3780 0.4120 0.4465 0.4950 0.3990
## [1751] 0.4785 0.4860 0.5120 0.2785 0.5230 0.4795 0.4570 0.4895 0.5005 0.4900
## [1761] 0.5135 0.4300 0.4210 0.4275 0.3815 0.3930 0.3950 0.4120 0.4665 0.3805
## [1771] 0.3505 0.3795 0.4245 0.5030 0.4455 0.4355 0.4005 0.3465 0.4220 0.4680
## [1781] 0.4405 0.4680 0.4495 0.4660 0.5095 0.5110 0.5390 0.5280 0.5390 0.5515
## [1791] 0.5375 0.5390 0.5620 0.4355 0.4220 0.3795 0.3860 0.3700 0.4050 0.3815
## [1801] 0.4340 0.4215 0.4075 0.4045 0.4160 0.4155 0.4175 0.4865 0.5105 0.5285
## [1811] 0.4980 0.4895 0.4960 0.1455 0.0000 0.5285 0.5100 0.5015 0.5445 0.5385
## [1821] 0.5250 0.5630 0.5115 0.5185 0.5385 0.5195 0.5090 0.5140 0.5140 0.5225
## [1831] 0.5085 0.5030 0.4845 0.5055 0.5130 0.4915 0.5440 0.5305 0.5495 0.5525
## [1841] 0.5460 0.5545 0.5470 0.5370 0.5575 0.5445 0.5350 0.5475 0.5535 0.5295
## [1851] 0.5410 0.5450 0.5255 0.5075 0.5240 0.5190 0.5285 0.5010 0.5395 0.5600
## [1861] 0.5965 0.5625 0.5580 0.5760 0.5555 0.5360 0.4615 0.4505 0.4475 0.4640
## [1871] 0.4550 0.4520 0.4395 0.4555 0.4715 0.4945 0.5210 0.5170 0.5325 0.5260
## [1881] 0.5185 0.5130 0.5025 0.4960 0.5135 0.5170 0.5390 0.5275 0.5450 0.5400
## [1891] 0.5445 0.5665 0.5560 0.5590 0.4430 0.3970 0.4415 0.3865 0.4505 0.3625
## [1901] 0.4180 0.4415 0.4710 0.4370 0.3795 0.0000 0.4415 0.4685 0.4855 0.4785
## [1911] 0.4450 0.3940 0.3825 0.4120 0.4435 0.4140 0.3485 0.3750 0.3880 0.3780
## [1921] 0.4635 0.4665 0.4750 0.4255 0.5185 0.4880 0.5215 0.5095 0.5360 0.5515
## [1931] 0.5360 0.5270 0.5685 0.5180 0.5060 0.4630 0.4405 0.4770 0.4350 0.4960
## [1941] 0.4230 0.4470 0.4820 0.4470 0.4735 0.5150 0.4610 0.4755 0.5245apply(df1[ , 8:9], 1, median)## [1] 0.5250 0.5200 0.4140 0.4465 0.5060 0.4420 0.4875 0.4805 0.4175
## [10] 0.4165 0.4170 0.4080 0.4330 0.3530 0.2770 0.3360 0.3395 0.3680
## [19] 0.4290 0.4020 0.4420 0.4235 0.4540 0.4075 0.4490 0.2065 0.2285
## [28] 0.2590 0.0000 0.0000 0.2665 0.3065 0.3730 0.4830 0.3850 0.3560
## [37] 0.3330 0.3475 0.3700 0.3665 0.3775 0.3645 0.2905 0.3345 0.3465
## [46] 0.3450 0.3385 0.3295 0.3275 0.3220 0.3095 0.3470 0.3095 0.2830
## [55] 0.3305 0.3340 0.3575 0.3250 0.3390 0.3525 0.3510 0.3490 0.3755
## [64] 0.3590 0.2570 0.2055 0.1950 0.4300 0.3680 0.3415 0.3755 0.3210
## [73] 0.3505 0.3805 0.3445 0.3190 0.3640 0.2755 0.2755 0.3505 0.3960
## [82] 0.4525 0.3385 0.4175 0.4445 0.4235 0.3425 0.3280 0.3020 0.3255
## [91] 0.2880 0.2585 0.2375 0.2695 0.3320 0.3430 0.3335 0.3675 0.3450
## [100] 0.3115 0.2655 0.2230 0.2090 0.2015 0.2140 0.1645 0.1215 0.2715
## [109] 0.3570 0.2660 0.2190 0.2625 0.0000 0.0560 0.0440 0.0680 0.0240
## [118] 0.0660 0.4270 0.4230 0.3790 0.3505 0.3790 0.3440 0.3655 0.3635
## [127] 0.3455 0.3265 0.2995 0.3235 0.3290 0.3025 0.3665 0.2310 0.2350
## [136] 0.2380 0.2365 0.2715 0.2520 0.2200 0.2380 0.3170 0.2890 0.2695
## [145] 0.2660 0.2720 0.1800 0.2990 0.3950 0.3295 0.3595 0.3485 0.3540
## [154] 0.2955 0.2565 0.2655 0.2205 0.2985 0.2525 0.2500 0.2350 0.4010
## [163] 0.4020 0.3895 0.4105 0.3535 0.3475 0.3855 0.3795 0.4115 0.3865
## [172] 0.3510 0.3745 0.3410 0.2245 0.5775 0.4590 0.4555 0.3750 0.4090
## [181] 0.3545 0.3635 0.3565 0.3930 0.4125 0.3725 0.4250 0.4160 0.4030
## [190] 0.3495 0.3465 0.3855 0.4070 0.4660 0.4665 0.4025 0.4450 0.4700
## [199] 0.5060 0.6040 0.4525 0.5455 0.5075 0.5180 0.5210 0.5270 0.2640
## [208] 0.3210 0.3355 0.2830 0.3055 0.2975 0.3190 0.3720 0.2380 0.2415
## [217] 0.2765 0.2765 0.3725 0.3560 0.3050 0.3340 0.3010 0.2950 0.3115
## [226] 0.3060 0.2975 0.3775 0.3405 0.3095 0.3230 0.3500 0.3380 0.4190
## [235] 0.3985 0.3600 0.3830 0.3855 0.4500 0.3705 0.3830 0.3785 0.3880
## [244] 0.4170 0.4485 0.4130 0.3865 0.3930 0.3655 0.3010 0.3280 0.3745
## [253] 0.3985 0.3485 0.3600 0.3320 0.3720 0.3625 0.4205 0.3495 0.3075
## [262] 0.3745 0.2875 0.5420 0.4975 0.4665 0.5585 0.6230 0.5965 0.5685
## [271] 0.4880 0.5410 0.5175 0.4580 0.4545 0.0180 0.4205 0.4575 0.4490
## [280] 0.4395 0.4380 0.4540 0.4385 0.4205 0.4330 0.4185 0.3925 0.4585
## [289] 0.4380 0.4080 0.4600 0.4045 0.4430 0.3795 0.3275 0.3160 0.3295
## [298] 0.3215 0.3430 0.3780 0.3610 0.3560 0.3400 0.2980 0.2625 0.2390
## [307] 0.2740 0.2420 0.4315 0.4045 0.4090 0.4460 0.4815 0.4945 0.4315
## [316] 0.5035 0.4760 0.4415 0.4535 0.4250 0.4185 0.4055 0.4300 0.4360
## [325] 0.4000 0.3935 0.4435 0.4010 0.4835 0.4125 0.4415 0.4050 0.4325
## [334] 0.4885 0.4130 0.4875 0.4265 0.4800 0.4080 0.3780 0.3785 0.4225
## [343] 0.0000 -0.0880 -0.0460 -0.0800 -0.0665 -0.0930 -0.0925 -0.0790 -0.1085
## [352] -0.1220 -0.1140 -0.0875 -0.0795 -0.0865 -0.0515 0.3965 0.4100 0.3605
## [361] 0.3910 0.3825 0.3870 0.4295 0.4135 0.3985 0.3715 0.3990 0.3590
## [370] 0.3535 0.3410 0.3615 0.3820 0.3730 0.3285 0.2650 0.4400 0.4195
## [379] -0.0490 0.3620 0.3440 0.3370 0.3490 0.3685 0.3590 0.3160 0.3230
## [388] 0.3475 0.4010 0.4155 0.3860 0.4625 0.4115 0.4090 0.4255 0.4385
## [397] 0.4290 0.4590 0.4560 0.4260 0.4050 0.4020 0.4200 0.4155 0.3990
## [406] 0.3510 0.3745 0.3330 0.3370 0.3450 0.4210 0.3435 0.3680 0.3895
## [415] 0.3410 0.3660 0.5250 0.3765 0.4095 0.3940 0.3870 0.3975 0.4490
## [424] 0.0000 0.3650 0.4275 0.4530 0.5105 0.4845 0.4845 0.4640 0.5035
## [433] 0.4340 0.4470 0.4130 0.4285 0.4080 0.4505 0.4325 0.4420 0.4220
## [442] 0.4015 0.3800 0.3645 0.3700 0.3515 0.3450 0.2795 0.3785 0.1185
## [451] 0.2230 0.2600 0.2350 0.2085 0.2590 0.1630 0.1925 0.1775 0.2065
## [460] 0.1740 0.1680 0.0845 0.0970 0.1330 0.3525 0.3195 0.2695 0.2310
## [469] 0.3965 0.3820 0.3415 0.3765 0.3525 0.4010 0.3325 0.3865 0.3700
## [478] 0.3450 0.3285 0.3195 0.3060 0.3115 0.2540 0.4050 0.3835 0.3535
## [487] 0.3330 0.3715 0.2735 0.3230 0.2275 0.2470 0.2760 0.3795 0.2835
## [496] 0.3660 0.3620 0.3490 0.0000 -0.0605 0.4135 0.3505 0.3750 0.3540
## [505] 0.3710 0.3860 0.3115 0.2975 0.3385 -0.0760 -0.1075 -0.0995 -0.0560
## [514] 0.3755 0.3850 0.3285 0.2725 0.3150 0.2905 0.3155 0.3110 0.2935
## [523] 0.3245 0.3060 0.3030 0.3530 0.2865 0.2285 0.2665 0.2485 0.2230
## [532] 0.2815 0.2595 0.3005 0.2625 0.2495 0.2025 0.2450 0.2835 0.2400
## [541] 0.2400 0.1580 -0.0220 0.3710 0.3910 0.3400 0.3705 0.3790 0.4190
## [550] 0.3925 0.4860 0.0635 0.1225 0.2520 0.2105 0.1800 0.1730 0.1320
## [559] 0.1670 0.1115 0.0950 0.0360 0.0715 0.0240 0.3440 0.4125 0.3190
## [568] 0.2860 0.2595 0.2625 0.2295 0.2870 0.2690 0.2510 0.2660 0.2390
## [577] 0.2220 0.2175 0.1980 0.3200 0.3075 0.3170 0.2920 0.3365 0.3065
## [586] 0.3200 0.3130 0.3215 0.3415 0.5655 0.6040 0.2425 0.2150 0.1370
## [595] 0.1510 0.1060 0.0490 0.0260 0.0475 0.0915 0.1485 0.1560 0.1730
## [604] 0.2610 0.1935 0.1810 0.3905 0.4795 0.3790 0.4085 0.3915 0.3550
## [613] 0.3750 0.2950 0.2810 0.2950 0.2970 0.2795 0.2650 0.2595 0.1820
## [622] 0.5135 0.4545 0.4915 0.4475 0.4745 0.4005 0.4690 0.4075 0.4570
## [631] 0.4535 0.4920 0.4590 0.4540 0.4865 0.5235 0.4305 0.3275 0.3330
## [640] 0.3255 0.3125 0.3270 0.3345 0.3210 0.2760 0.3190 0.2910 0.2625
## [649] 0.2795 0.2615 0.4390 0.4730 0.5010 0.4760 0.4805 0.4360 0.4205
## [658] 0.4310 0.4560 0.4365 0.4115 0.3705 0.3775 0.3555 0.3920 0.3975
## [667] 0.4530 0.3555 0.3845 0.3735 0.3940 0.4350 0.4265 0.4730 0.6275
## [676] 0.5365 0.5320 0.4625 0.5030 0.4790 0.4965 0.5415 0.5650 0.5140
## [685] 0.5710 0.4665 0.5280 0.5430 0.4880 0.4625 0.4895 0.4340 0.4205
## [694] 0.4245 0.3755 0.4365 0.4275 0.4515 0.4390 0.2560 0.2850 0.2900
## [703] 0.2940 0.2400 0.3010 0.3235 0.2515 0.2780 0.2495 0.1900 0.4515
## [712] 0.3670 0.3950 0.4190 0.4255 0.3970 0.3995 0.3525 0.3550 0.3685
## [721] 0.3735 0.3340 0.3445 0.3580 0.4900 0.5000 0.5095 0.4700 0.5000
## [730] 0.4865 0.3495 0.4020 0.4275 0.4055 0.4095 0.4345 0.4605 0.4350
## [739] 0.4485 0.4580 0.4030 0.3855 0.4055 0.3695 0.4450 0.4320 0.4275
## [748] 0.6310 0.6355 0.5660 0.5510 0.7010 0.7000 0.6580 0.6745 0.6890
## [757] 0.7085 0.6950 0.6940 0.6900 0.7080 0.3180 0.4640 0.4600 0.4325
## [766] 0.3390 0.4505 0.4405 0.4375 0.4495 0.4665 0.3515 0.3640 0.3550
## [775] 0.4245 0.3275 0.3670 0.3550 0.3845 0.3300 0.3625 0.3905 0.3735
## [784] 0.3785 0.4095 0.4140 0.3575 0.4045 0.4475 0.4830 0.4865 0.4375
## [793] 0.4445 0.3350 0.3210 0.2865 0.2765 0.2530 0.2235 0.1850 0.4525
## [802] 0.5435 0.5185 0.5475 0.5260 0.5160 0.5075 0.4995 0.4560 0.4485
## [811] 0.4785 0.4690 0.4125 0.4140 0.3495 0.4720 0.5175 0.4975 0.5650
## [820] 0.4305 0.4575 0.5105 0.4205 0.4275 0.4245 0.4110 0.4160 0.4335
## [829] 0.3920 0.3470 0.3745 0.3300 0.2955 0.3455 0.3570 0.3300 0.3705
## [838] 0.3910 0.3965 0.4710 0.4225 0.4550 0.4300 0.3765 0.3740 0.3495
## [847] 0.3595 0.3405 0.2650 0.3150 0.3410 0.3460 0.2515 0.2390 0.2495
## [856] 0.3180 0.2265 0.2130 0.1810 0.1750 0.3350 0.2760 0.2910 0.3320
## [865] -0.0230 -0.0715 -0.0800 -0.0585 -0.0520 -0.0230 -0.0190 -0.0760 -0.0930
## [874] -0.0825 -0.0750 0.2955 0.3095 0.3390 0.2980 0.3040 0.2835 0.3530
## [883] 0.2955 0.4045 0.3385 0.3330 0.3600 0.3630 0.3265 0.3025 0.4200
## [892] 0.4265 0.4485 0.5065 0.4685 0.4725 0.4885 0.5365 0.5105 0.5370
## [901] 0.5630 0.5440 0.5675 0.5520 0.5485 0.5190 0.4695 0.5845 0.5685
## [910] 0.4615 0.4885 0.5250 0.3935 0.5160 0.5330 0.5210 0.5955 0.5835
## [919] 0.4550 0.0460 0.3410 0.2275 0.2800 0.0000 0.0000 0.0000 0.0410
## [928] -0.0375 -0.0025 -0.0520 0.3695 0.4190 0.4115 0.3780 0.4270 0.3885
## [937] 0.4065 0.4075 0.6260 0.5290 0.4865 0.5085 0.5870 0.4415 0.5170
## [946] 0.5635 0.5290 0.5265 0.5230 0.1160 0.3325 0.3875 0.3405 0.4445
## [955] 0.3540 0.3785 0.3615 0.3810 0.4660 0.4285 0.3820 0.3805 0.3655
## [964] 0.3560 0.3220 0.2935 0.2975 0.3655 0.4725 0.4855 0.4810 0.5040
## [973] 0.5110 0.4585 0.4250 0.4585 0.4635 0.4810 0.4420 0.4185 0.4205
## [982] 0.4045 0.3405 0.3220 0.3260 0.3920 0.4455 0.4025 0.3900 0.4195
## [991] 0.4210 0.4670 0.4275 0.4590 0.4395 0.3795 -0.0220 -0.0445 0.3270
## [1000] 0.2725 0.3065 0.3360 0.3420 0.3510 0.3380 0.3435 0.4080 0.3420
## [1009] 0.3495 0.3465 0.3350 0.3415 0.3080 0.3075 0.2660 0.3535 0.2795
## [1018] 0.2595 0.2470 0.2310 0.1235 0.2360 0.2135 0.1875 0.1870 0.1815
## [1027] 0.1725 -0.0195 0.3370 0.4175 0.3995 0.4245 0.3840 0.4100 0.3975
## [1036] 0.4070 0.4460 0.3540 0.4380 0.4465 0.4325 0.4760 0.5275 0.4675
## [1045] 0.4425 0.4465 0.4450 0.3800 0.4195 0.3420 0.4705 0.4440 0.4640
## [1054] 0.4245 0.4380 0.4130 0.4320 0.5095 0.5420 0.5300 0.5105 0.4525
## [1063] 0.0120 0.3445 0.4530 0.4135 0.3915 0.3125 0.3495 0.3510 0.3105
## [1072] 0.3660 0.3960 0.3970 0.3795 0.4040 0.2320 0.1435 0.1480 0.1760
## [1081] 0.2050 0.5370 0.5055 0.5205 0.4715 0.3870 0.3880 0.3375 0.2570
## [1090] 0.4115 0.4435 0.3910 0.3995 0.3430 0.2985 0.2675 0.3850 0.3335
## [1099] 0.3120 0.2995 0.3205 0.5190 0.5275 0.5150 0.4525 0.3560 0.3785
## [1108] 0.3675 0.3820 0.3260 0.3285 0.3440 0.3225 0.2995 0.2700 0.2250
## [1117] 0.2680 0.2780 0.3280 0.2995 0.3150 0.3340 0.3295 0.3810 0.3720
## [1126] 0.4350 0.4130 0.4205 0.4375 0.4525 0.4360 0.4060 0.4265 0.4610
## [1135] 0.4365 0.4225 0.3960 0.4415 0.4910 0.5150 0.5135 0.5410 0.5195
## [1144] 0.5320 0.5275 0.5365 0.4950 0.4920 0.4515 0.5110 0.4920 0.3405
## [1153] 0.3685 0.2755 0.2680 0.2815 0.2585 0.4325 0.3185 0.3810 0.3365
## [1162] 0.3590 0.3575 0.4525 0.3690 0.3285 0.3290 0.2805 0.3070 0.2400
## [1171] 0.3125 0.3045 0.2565 0.2870 0.3995 0.4640 0.4350 0.3475 0.3605
## [1180] 0.3260 0.3700 0.3775 0.6700 0.6635 0.6450 0.6605 0.6430 0.6345
## [1189] 0.5685 0.6215 0.5585 0.3690 0.3035 0.3205 0.3385 0.3525 0.3530
## [1198] 0.4485 0.6040 0.5955 0.4970 0.5015 0.4625 0.4765 0.5140 0.4810
## [1207] 0.5255 0.4925 0.4520 0.4320 0.4395 0.2855 0.3945 0.3920 0.3740
## [1216] 0.3475 0.3610 0.4050 0.3940 0.3365 0.3360 0.3065 0.2660 0.2865
## [1225] 0.2160 0.2680 0.2870 0.3160 0.2875 0.2765 0.2880 0.2745 0.3105
## [1234] 0.2575 0.2720 0.2580 0.1635 0.1955 0.2040 0.4270 0.4830 0.4475
## [1243] 0.4320 0.4100 0.3700 0.3305 0.3375 0.4015 0.4025 0.3850 0.3415
## [1252] 0.3610 0.3255 0.4155 0.3460 0.3470 0.2370 0.2530 0.2470 0.3565
## [1261] 0.3170 0.2795 0.3355 0.3990 0.3740 0.3230 0.3775 0.4780 0.5270
## [1270] 0.5055 0.4900 0.4890 0.4830 0.4780 0.4455 0.4740 0.4795 0.4280
## [1279] 0.4525 0.5060 0.4275 0.3575 0.3460 0.3295 0.3350 0.3070 0.3200
## [1288] 0.4750 0.4010 0.3990 0.3890 0.4180 0.4430 0.4480 0.3885 0.4750
## [1297] 0.3985 0.4345 0.4735 0.5040 0.2530 0.2605 0.2575 0.2930 0.2780
## [1306] 0.2715 0.2430 0.1810 0.1910 0.1730 0.0125 0.4220 0.4415 0.4740
## [1315] 0.4755 0.5760 0.4435 0.5035 0.4460 0.4085 0.4010 0.4440 0.3795
## [1324] 0.4340 0.4500 0.4290 0.3820 0.3415 0.3560 0.3175 0.3115 0.2885
## [1333] 0.3150 0.3285 0.3105 0.3415 0.3340 0.4070 0.4145 0.4325 0.4990
## [1342] 0.4705 0.4515 0.4355 0.4245 0.3970 0.4160 0.4245 0.4015 0.3675
## [1351] 0.3355 0.3530 0.3350 0.4535 0.5310 0.4740 0.4420 0.4280 0.4735
## [1360] 0.4870 0.4745 0.3800 0.4275 0.3425 0.4065 0.4550 0.4120 0.4265
## [1369] 0.4145 0.4005 0.4105 0.3505 0.3940 0.4020 0.3710 0.3970 0.3660
## [1378] 0.3705 0.3640 0.3720 0.4520 0.4290 0.4500 0.4045 0.4225 0.4280
## [1387] 0.4120 0.3885 0.3860 0.3520 0.3605 0.2850 0.3090 0.3325 0.3140
## [1396] 0.4915 0.4390 0.4855 0.4535 0.4205 0.4305 0.3895 0.4170 0.3585
## [1405] 0.3785 0.2585 0.2330 0.2325 0.3900 0.3505 0.3580 0.4210 0.3945
## [1414] 0.4310 0.4140 0.4075 0.3890 0.3485 0.3525 0.3095 0.3405 0.3145
## [1423] 0.2095 0.0520 0.0060 0.0810 0.0000 0.4785 0.3805 0.3855 0.4445
## [1432] 0.4120 0.4235 0.4115 0.4290 0.4105 0.4170 0.3830 0.3520 0.3665
## [1441] 0.3140 0.3245 0.3095 0.3355 0.3205 0.3280 0.3225 0.3225 0.3020
## [1450] 0.3710 0.3720 0.3585 0.3590 0.3660 0.3760 0.1495 0.1515 0.2045
## [1459] 0.0610 0.0345 0.0445 0.0275 0.0600 0.0920 0.1325 0.1105 0.1160
## [1468] 0.2525 0.0025 0.2430 0.1675 -0.0165 -0.0710 -0.0600 -0.0405 -0.0365
## [1477] -0.0225 -0.0660 -0.0655 -0.0960 -0.0735 -0.0555 0.3770 0.4125 0.4245
## [1486] 0.4410 0.3870 0.3550 0.4080 0.3925 0.3275 0.3270 0.3540 0.3905
## [1495] 0.3655 0.3885 0.3700 0.3915 0.3975 0.3960 0.4110 0.4040 0.4920
## [1504] 0.3985 0.4110 0.3870 0.3820 0.3865 0.4865 0.4685 0.5390 0.5365
## [1513] 0.4610 0.4300 0.3925 0.4100 0.4375 0.4845 0.4635 0.4755 0.4740
## [1522] 0.0690 0.1785 0.0560 -0.0200 0.0210 -0.0250 0.1785 0.1435 0.1245
## [1531] 0.0950 0.1490 0.0155 0.0485 0.4480 0.4030 0.4585 0.4395 0.4320
## [1540] 0.3940 0.4000 0.4280 0.4325 0.3715 0.3985 0.4130 0.3755 0.3925
## [1549] 0.4370 0.4340 0.4355 0.4770 0.4805 0.4500 0.3915 0.4020 0.3600
## [1558] 0.3415 0.3580 0.2280 0.2050 0.2205 0.2565 0.2355 0.1785 0.1670
## [1567] -0.0420 0.3505 0.3855 0.3750 0.2945 0.3325 0.3375 0.3615 0.3515
## [1576] 0.3630 0.3715 0.3680 0.3955 0.3430 0.4485 0.3735 0.3720 0.3345
## [1585] 0.3455 0.3595 0.3895 0.4220 0.3910 0.3955 0.4025 0.4440 0.4325
## [1594] 0.3540 0.3315 0.2795 0.3710 0.3550 0.3925 0.3805 0.3885 0.3455
## [1603] 0.2665 0.3355 0.3510 0.3620 0.3925 0.4075 0.4130 0.3750 0.3855
## [1612] 0.3795 0.3510 0.3405 0.3045 0.4500 0.4785 0.5120 0.4980 0.5140
## [1621] 0.4525 0.4920 0.5550 0.5450 0.5890 0.4690 0.4810 0.4570 0.3890
## [1630] 0.3485 0.3195 0.3390 0.3655 0.3370 0.4250 0.2570 0.2665 0.0000
## [1639] 0.2175 0.2195 0.2565 0.1970 0.2150 0.1930 0.2415 0.2260 0.2215
## [1648] 0.1960 0.2045 0.1700 0.1705 0.1470 0.3490 0.2335 0.2310 0.1715
## [1657] 0.1595 0.1950 0.2480 0.2010 0.1650 0.1080 0.4010 0.3850 0.3755
## [1666] 0.4360 0.4945 0.4440 0.3650 0.4080 0.3840 0.4130 0.3950 0.4125
## [1675] 0.4215 0.4790 0.4380 0.3810 0.3365 0.3680 0.3590 0.3555 0.3400
## [1684] 0.3295 0.3705 0.3965 0.3705 0.2765 0.3220 0.4135 0.3500 0.3820
## [1693] 0.3210 0.4210 0.2565 0.2225 0.2550 0.3110 0.3470 0.5930 0.6055
## [1702] 0.5025 0.3850 0.5500 0.4565 0.4940 0.5275 0.4590 0.3850 0.3825
## [1711] 0.3445 0.4080 0.6330 0.6445 0.6790 0.7145 0.7265 0.6615 0.6445
## [1720] 0.6905 0.7365 0.6150 0.6170 0.5480 0.5830 0.5930 0.5955 0.4215
## [1729] 0.4385 0.3810 0.3550 0.3320 0.4040 0.3420 0.4010 0.4010 0.5290
## [1738] 0.5230 0.4890 0.5380 0.4630 0.3015 0.2985 0.3570 0.3615 0.3395
## [1747] 0.2755 0.2945 0.3230 0.3250 0.3245 0.3400 0.3375 0.4385 0.3110
## [1756] 0.2980 0.3130 0.3120 0.2035 0.2430 0.2345 0.3700 0.3950 0.3495
## [1765] 0.2170 0.3145 0.3120 0.3315 -0.0510 0.0090 -0.0615 -0.0355 0.0160
## [1774] 0.0465 0.0025 0.0330 0.1300 0.1425 0.3830 0.4400 0.3965 0.4015
## [1783] 0.4200 0.4310 0.4595 0.4365 0.4535 0.5040 0.4715 0.4380 0.4675
## [1792] 0.4825 0.5125 0.3360 0.3635 0.3320 0.3605 0.3825 0.3525 0.3365
## [1801] 0.3605 0.5055 0.4595 0.4510 0.4675 0.4345 0.4020 0.5360 0.0850
## [1810] 0.1790 0.2060 0.0355 0.0000 0.0000 0.0000 0.1005 0.0655 0.1080
## [1819] 0.0270 0.0645 0.0300 0.1990 0.4170 0.4395 0.4500 0.4950 0.3870
## [1828] 0.3980 0.4570 0.4195 0.3780 0.3540 0.3550 0.3150 0.3780 0.3465
## [1837] 0.3000 0.4150 0.4615 0.4330 0.4670 0.4290 0.4625 0.5105 0.4615
## [1846] 0.4585 0.4415 0.4390 0.4130 0.4255 0.3560 0.1820 0.2245 0.2270
## [1855] 0.2130 0.1565 0.2380 0.3410 0.2715 0.2300 0.3205 0.3020 0.2680
## [1864] 0.2930 0.2520 0.2035 0.2470 -0.0115 0.3115 0.2445 0.2820 0.2130
## [1873] 0.2000 0.2985 0.4230 0.1040 0.2940 0.4190 0.4075 0.3600 0.3075
## [1882] 0.2755 0.3560 0.2995 0.2730 0.2750 0.3085 0.3140 0.3480 0.3675
## [1891] 0.3375 0.4140 0.4195 0.4055 0.0075 0.4215 0.4950 0.3880 0.3685
## [1900] 0.4235 0.3525 0.3720 0.0000 0.0430 0.3545 0.0000 0.3835 0.3310
## [1909] 0.0055 0.3900 0.3745 0.2905 0.3110 0.3530 0.3640 0.3450 -0.0755
## [1918] -0.0735 0.3965 0.3990 0.3895 0.4405 0.4730 0.4105 0.4425 0.4070
## [1927] 0.3140 0.3990 0.4160 0.4465 0.4400 0.4295 0.4545 0.4330 0.4145
## [1936] 0.4320 0.4370 0.4265 0.3675 0.3710 0.3780 0.3635 0.3730 0.3435
## [1945] 0.3145 0.3265 0.3880 0.3835 0.3900apply(df1[ , 10:11], 2, var)## Positive.affect Negative.affect
## 0.016969761 0.007781488apply(df[ , 8:9], 2, var)## Generosity Perceptions.of.corruption
## NA NAapply(df1[ , 10:11], 1, var)## [1] 0.0338000 0.0602045 0.0588245 0.0591680 0.0976820 0.0605520 0.0123245
## [8] 0.0231125 0.0235445 0.0078125 0.0001805 0.0114005 0.0471245 0.0651605
## [15] 0.0605520 0.0688205 0.0564480 0.0438080 0.0612500 0.0571220 0.0623045
## [22] 0.0561125 0.0776180 0.0828245 0.0856980 0.0000000 0.0435125 0.0699380
## [29] 0.1008005 0.0403280 0.0623045 0.0444020 0.0684500 0.0444020 0.0320045
## [36] 0.0411845 0.0222605 0.1235045 0.1507005 0.1275125 0.1965645 0.2016125
## [43] 0.1848320 0.1711125 0.1728720 0.1915805 0.1534580 0.1404500 0.1336445
## [50] 0.1245005 0.1285245 0.0890420 0.0003125 0.0045125 0.0092480 0.0087120
## [57] 0.0035280 0.0001280 0.0014580 0.0062720 0.0156645 0.0121680 0.0123245
## [64] 0.0176720 0.0079380 0.0141120 0.1830125 0.1866605 0.1848320 0.1884980
## [71] 0.1928205 0.1782045 0.2060820 0.1404500 0.1682000 0.1540125 0.1540125
## [78] 0.1635920 0.1613120 0.1590480 0.2106005 0.2171405 0.2171405 0.2073680
## [85] 0.2211125 0.1946880 0.1860500 0.2009780 0.1562405 0.1613120 0.1383380
## [92] 0.1618805 0.1584845 0.0278480 0.0280845 0.0616005 0.0480500 0.0325125
## [99] 0.0386420 0.0414720 0.0710645 0.0714420 0.0804005 0.0828245 0.0776180
## [106] 0.0808020 0.1147205 0.0584820 0.0343220 0.0004500 0.0216320 0.1067220
## [113] 0.0000000 0.0852845 0.1270080 0.1372880 0.0990125 0.1215245 0.0389205
## [120] 0.0518420 0.1215245 0.0999045 0.0567845 0.1012500 0.1409805 0.0695645
## [127] 0.0266805 0.0836405 0.0528125 0.0630125 0.0162000 0.0141120 0.0312500
## [134] 0.0564480 0.0651605 0.0302580 0.0588245 0.0644405 0.0369920 0.0584820
## [141] 0.0812045 0.0840500 0.0800000 0.0691920 0.0474320 0.0228980 0.0804005
## [148] 0.1436480 0.1770125 0.1630205 0.1728720 0.1860500 0.1693620 0.1682000
## [155] 0.1490580 0.1596125 0.1275125 0.1523520 0.1250000 0.1195605 0.0748845
## [162] 0.1290320 0.1118645 0.0386420 0.0394805 0.0828245 0.0619520 0.1180980
## [169] 0.0502445 0.0239805 0.0115520 0.0123245 0.0160205 0.0237620 0.0462080
## [176] 0.1579220 0.1431125 0.1240020 0.0471245 0.0733445 0.0756605 0.0903125
## [183] 0.0865280 0.0800000 0.0695645 0.0609005 0.0844605 0.0772245 0.0828245
## [190] 0.0348480 0.0630125 0.0551120 0.0832320 0.0502445 0.0165620 0.0058320
## [197] 0.0364500 0.0220500 0.0262205 0.0361805 0.0307520 0.0567845 0.0531380
## [204] 0.0669780 0.0780125 0.0508805 0.1067220 0.1315845 0.1341620 0.1676205
## [211] 0.1812020 0.1030580 0.0920205 0.1176125 0.0941780 0.0722000 0.1071845
## [218] 0.0963605 0.1331280 0.1568000 0.1540125 0.1562405 0.1607445 0.1452605
## [225] 0.0820125 0.1468820 0.1320980 0.0924500 0.1062605 0.0832320 0.0800000
## [232] 0.0898880 0.0459045 0.0677120 0.0474320 0.0345845 0.0564480 0.0595125
## [239] 0.0768320 0.0920205 0.1012500 0.0903125 0.1012500 0.1071845 0.1176125
## [246] 0.1012500 0.0684500 0.0239805 0.0695645 0.0699380 0.0300125 0.0588245
## [253] 0.0640820 0.0242000 0.0389205 0.0266805 0.0677120 0.0531380 0.0174845
## [260] 0.1137645 0.1245005 0.0820125 0.0459045 0.0714420 0.0512000 0.0816080
## [267] 0.1848320 0.0619520 0.1205405 0.1095120 0.0619520 0.0453005 0.0856980
## [274] 0.0972405 0.0764405 0.0928805 0.1030580 0.1190720 0.0561125 0.0744980
## [281] 0.0414720 0.0588245 0.0551120 0.0531380 0.0557780 0.0852845 0.0828245
## [288] 0.0465125 0.0435125 0.0325125 0.0408980 0.0459045 0.0297680 0.1836180
## [295] 0.1891125 0.2366720 0.1915805 0.2086580 0.2003445 0.1971920 0.1728720
## [302] 0.1647380 0.1562405 0.1728720 0.2080125 0.1596125 0.1441845 0.1195605
## [309] 0.0283220 0.0353780 0.0305045 0.0036125 0.0001125 0.0502445 0.0680805
## [316] 0.0591680 0.0564480 0.0332820 0.0456020 0.0222605 0.0109520 0.0214245
## [323] 0.0310005 0.0064980 0.0040500 0.0000405 0.0080645 0.1039680 0.0903125
## [330] 0.0911645 0.1290320 0.1295405 0.1185845 0.1388645 0.1624500 0.1764180
## [337] 0.1104500 0.1716980 0.1496045 0.1551245 0.1113920 0.1147205 0.2041605
## [344] 0.2164820 0.2244500 0.1946880 0.1842245 0.2352980 0.2191220 0.2408180
## [351] 0.2752820 0.2035220 0.2312000 0.1842245 0.2217780 0.2767680 0.1479680
## [358] 0.1123380 0.1357205 0.1230080 0.1624500 0.1601780 0.1490580 0.1523520
## [365] 0.1641645 0.1618805 0.1496045 0.1250000 0.1447220 0.1372880 0.1250000
## [372] 0.1035125 0.1275125 0.1512500 0.1220180 0.0800000 0.0844605 0.0800000
## [379] 0.0378125 0.0554445 0.0290405 0.0508805 0.0190125 0.0595125 0.0468180
## [386] 0.0235445 0.0098000 0.0288000 0.0216320 0.0836405 0.0816080 0.0808020
## [393] 0.0322580 0.0414720 0.0898880 0.0108045 0.1997120 0.2016125 0.1866605
## [400] 0.2171405 0.2211125 0.1842245 0.2009780 0.1635920 0.1496045 0.1590480
## [407] 0.1758245 0.1794005 0.1479680 0.1485125 0.0310005 0.0666125 0.0605520
## [414] 0.0528125 0.0616005 0.0465125 0.0480500 0.0496125 0.0383645 0.0574605
## [421] 0.0426320 0.0397620 0.1044245 0.0684500 0.1658880 0.0869445 0.1200500
## [428] 0.1205405 0.0744980 0.0537920 0.0578000 0.0662480 0.0824180 0.1166445
## [435] 0.1021520 0.1118645 0.1128125 0.1081125 0.1053405 0.0788045 0.0605520
## [442] 0.0619520 0.1090445 0.0981245 0.1485125 0.1540125 0.1310720 0.1436480
## [449] 0.1468820 0.2492180 0.2009780 0.1764180 0.1326125 0.1984500 0.1764180
## [456] 0.1596125 0.2224445 0.1794005 0.1866605 0.1971920 0.1909620 0.1891125
## [463] 0.2318805 0.1746405 0.2016125 0.0924500 0.0000000 0.0792020 0.1123380
## [470] 0.1285245 0.0812045 0.1275125 0.1275125 0.1295405 0.1250000 0.1240020
## [477] 0.1240020 0.0877805 0.1161620 0.1076480 0.1030580 0.1352000 0.0882000
## [484] 0.1095120 0.1496045 0.1568000 0.1705280 0.1836180 0.1746405 0.1320980
## [491] 0.1705280 0.1529045 0.1393920 0.1156805 0.1326125 0.1501520 0.0954845
## [498] 0.0699380 0.0756605 0.0480500 0.0729620 0.0459045 0.0423405 0.0154880
## [505] 0.0083205 0.0023120 0.0233280 0.0353780 0.0290405 0.0078125 0.0214245
## [512] 0.0208080 0.0123245 0.1990805 0.2106005 0.1860500 0.1842245 0.1310720
## [519] 0.1452605 0.1085780 0.1305605 0.1285245 0.1215245 0.0861125 0.1687805
## [526] 0.1740500 0.1800000 0.1300500 0.0968000 0.1200500 0.0718205 0.0630125
## [533] 0.0994580 0.1003520 0.1265045 0.1137645 0.1458000 0.1507005 0.2080125
## [540] 0.1997120 0.2099520 0.1915805 0.1409805 0.0924500 0.0946125 0.1137645
## [547] 0.1118645 0.0465125 0.0752720 0.0605520 0.0869445 0.1512500 0.1978205
## [554] 0.1984500 0.1613120 0.1764180 0.1647380 0.1711125 0.1568000 0.1891125
## [561] 0.1866605 0.1800000 0.1647380 0.1518005 0.1479680 0.1190720 0.1081125
## [568] 0.1058000 0.1399205 0.1250000 0.1255005 0.1770125 0.1770125 0.1630205
## [575] 0.1265045 0.1352000 0.1176125 0.1176125 0.1255005 0.0534645 0.0208080
## [582] 0.0248645 0.0302580 0.0322580 0.0216320 0.0176720 0.0248645 0.0392000
## [589] 0.1573605 0.0903125 0.0691920 0.0134480 0.0182405 0.0160205 0.0312500
## [596] 0.0335405 0.0359120 0.0477405 0.0780125 0.0669780 0.0492980 0.0581405
## [603] 0.0688205 0.0541205 0.0648000 0.0499280 0.1676205 0.1255005 0.1607445
## [610] 0.1716980 0.1872720 0.1978205 0.2009780 0.1447220 0.1782045 0.1579220
## [617] 0.1518005 0.1463405 0.1441845 0.1378125 0.1534580 0.1118645 0.1099805
## [624] 0.1485125 0.1658880 0.1794005 0.1431125 0.1848320 0.1152000 0.0865280
## [631] 0.0903125 0.0658845 0.1035125 0.1235045 0.0848720 0.1058000 0.0915920
## [638] 0.1331280 0.0780125 0.0584820 0.0359120 0.0262205 0.0214245 0.0480500
## [645] 0.1071845 0.0666125 0.0364500 0.0844605 0.0933120 0.0655220 0.1409805
## [652] 0.1770125 0.1800000 0.1734605 0.1884980 0.1540125 0.1320980 0.1425780
## [659] 0.1404500 0.1458000 0.1378125 0.1447220 0.1854405 0.1501520 0.0972405
## [666] 0.0768320 0.0317520 0.0386420 0.0796005 0.0489845 0.0397620 0.0462080
## [673] 0.0224720 0.1113920 0.0394805 0.0619520 0.0343220 0.0722000 0.0477405
## [680] 0.0222605 0.0353780 0.0408980 0.0172980 0.0315005 0.0253125 0.2471045
## [687] 0.1568000 0.1699445 0.1468820 0.1441845 0.1295405 0.1529045 0.1425780
## [694] 0.1357205 0.1523520 0.1431125 0.1764180 0.1711125 0.1630205 0.1185845
## [701] 0.1161620 0.1523520 0.1388645 0.1447220 0.1415120 0.0972405 0.1017005
## [708] 0.0963605 0.0290405 0.0796005 0.0741125 0.1109205 0.0950480 0.0886205
## [715] 0.0567845 0.0567845 0.0796005 0.0852845 0.1067220 0.0894645 0.1534580
## [722] 0.1128125 0.1584845 0.1225125 0.2642645 0.2760245 0.2548980 0.2237805
## [729] 0.2563280 0.2790045 0.2164820 0.2387405 0.1190720 0.0861125 0.0861125
## [736] 0.1104500 0.0924500 0.0865280 0.0557780 0.0612500 0.0907380 0.0718205
## [743] 0.0609005 0.0662480 0.0450000 0.0165620 0.0680805 0.1562405 0.1624500
## [750] 0.1431125 0.2257920 0.1915805 0.1746405 0.2231120 0.2073680 0.1860500
## [757] 0.1812020 0.1205405 0.1479680 0.1613120 0.1653125 0.0115520 0.0351125
## [764] 0.0389205 0.0239805 0.0035280 0.0057245 0.0056180 0.0078125 0.0129605
## [771] 0.0325125 0.0018000 0.0114005 0.0062720 0.0029645 0.0070805 0.0061605
## [778] 0.0023805 0.0003380 0.1534580 0.0000500 0.0041405 0.0032805 0.0036980
## [785] 0.0075645 0.0062720 0.2237805 0.2642645 0.1978205 0.2278125 0.2278125
## [792] 0.1788020 0.1618805 0.1540125 0.1647380 0.1788020 0.1922000 0.1788020
## [799] 0.1705280 0.1518005 0.0752720 0.0706880 0.0651605 0.0677120 0.0502445
## [806] 0.0626580 0.0598580 0.0417605 0.0554445 0.0972405 0.0669780 0.0792020
## [813] 0.0725805 0.0680805 0.0714420 0.0737280 0.0852845 0.0680805 0.1230080
## [820] 0.0648000 0.0768320 0.0397620 0.0890420 0.0648000 0.0658845 0.0598580
## [827] 0.0571220 0.0302580 0.0459045 0.0644405 0.0873620 0.0954845 0.0633680
## [834] 0.0502445 0.0531380 0.0581405 0.0438080 0.0310005 0.0623045 0.1722845
## [841] 0.1794005 0.0890420 0.0911645 0.1383380 0.1551245 0.1716980 0.1372880
## [848] 0.1734605 0.1897280 0.2041605 0.1770125 0.1836180 0.1915805 0.1529045
## [855] 0.1752320 0.1613120 0.1590480 0.1341620 0.1507005 0.1545680 0.1039680
## [862] 0.0981245 0.0571220 0.0722000 0.0450000 0.0619520 0.0242000 0.0792020
## [869] 0.0602045 0.0741125 0.0541205 0.0278480 0.0000000 0.0000000 0.0000000
## [876] 0.1171280 0.1113920 0.1326125 0.1512500 0.1474245 0.1463405 0.1545680
## [883] 0.1300500 0.1507005 0.1545680 0.1496045 0.1716980 0.1409805 0.2099520
## [890] 0.1425780 0.1285245 0.1584845 0.1940645 0.1734605 0.2422080 0.1415120
## [897] 0.1315845 0.1824080 0.1758245 0.1404500 0.1336445 0.1556820 0.1362420
## [904] 0.1250000 0.0950480 0.0873620 0.0505620 0.0920205 0.1664645 0.1635920
## [911] 0.1230080 0.1195605 0.0924500 0.1641645 0.1534580 0.1523520 0.1848320
## [918] 0.1848320 0.1378125 0.2204480 0.1085780 0.1326125 0.1897280 0.2635380
## [925] 0.1099805 0.0000000 0.0796005 0.0695645 0.0741125 0.0768320 0.1230080
## [932] 0.1378125 0.1132880 0.0976820 0.1388645 0.1404500 0.1295405 0.1722845
## [939] 0.1458000 0.1764180 0.2125520 0.1770125 0.1568000 0.1562405 0.1485125
## [946] 0.2613645 0.2628125 0.1965645 0.2278125 0.1404500 0.1399205 0.1352000
## [953] 0.1635920 0.1076480 0.0882000 0.0907380 0.0898880 0.0400445 0.0581405
## [960] 0.0537920 0.0861125 0.0907380 0.0722000 0.0894645 0.0764405 0.0772245
## [967] 0.0658845 0.1310720 0.0426320 0.0259920 0.0131220 0.0080645 0.0169280
## [974] 0.0332820 0.0128000 0.0040500 0.0426320 0.0528125 0.0420500 0.0367205
## [981] 0.0186245 0.0147920 0.1940645 0.1067220 0.1205405 0.1067220 0.0158420
## [988] 0.0524880 0.0714420 0.0050000 0.0068445 0.0080645 0.0383645 0.0250880
## [995] 0.0305045 0.0718205 0.0561125 0.0561125 0.0505620 0.0471245 0.0474320
## [1002] 0.0673445 0.0480500 0.0330245 0.0325125 0.0202005 0.0435125 0.0462080
## [1009] 0.0411845 0.0551120 0.0508805 0.0591680 0.0852845 0.0459045 0.0420500
## [1016] 0.1048820 0.1573605 0.1758245 0.2022480 0.1728720 0.1035125 0.2003445
## [1023] 0.1590480 0.1601780 0.1693620 0.1501520 0.1664645 0.1463405 0.0796005
## [1030] 0.0378125 0.1230080 0.1215245 0.1545680 0.1658880 0.1854405 0.0710645
## [1037] 0.0760500 0.0877805 0.1003520 0.1518005 0.2016125 0.0990125 0.1897280
## [1044] 0.1568000 0.0972405 0.0695645 0.0386420 0.0441045 0.0244205 0.0178605
## [1051] 0.1285245 0.1878845 0.1978205 0.2164820 0.2048000 0.2679120 0.2380500
## [1058] 0.0877805 0.1295405 0.1062605 0.1946880 0.2164820 0.0000000 0.1556820
## [1065] 0.1341620 0.1860500 0.2016125 0.1959380 0.1635920 0.1409805 0.1540125
## [1072] 0.1085780 0.1260020 0.0609005 0.0800000 0.0626580 0.0637245 0.0518420
## [1079] 0.0784080 0.0623045 0.0420500 0.0450000 0.0528125 0.0551120 0.0877805
## [1086] 0.0903125 0.0616005 0.0180500 0.1562405 0.1545680 0.1613120 0.2106005
## [1093] 0.1722845 0.1909620 0.1782045 0.1752320 0.1959380 0.1315845 0.0666125
## [1100] 0.0748845 0.0933120 0.1176125 0.1716980 0.1452605 0.1676205 0.1897280
## [1107] 0.2171405 0.1978205 0.1806005 0.1613120 0.1946880 0.2132045 0.1953125
## [1114] 0.1579220 0.1280180 0.1607445 0.1641645 0.1290320 0.2041605 0.1872720
## [1121] 0.2237805 0.1872720 0.1341620 0.0662480 0.0351125 0.0450000 0.0327680
## [1128] 0.0468180 0.0400445 0.0322580 0.0515205 0.0521645 0.0477405 0.0598580
## [1135] 0.0518420 0.0486720 0.0680805 0.1053405 0.0677120 0.0852845 0.1579220
## [1142] 0.1452605 0.1290320 0.1104500 0.1044245 0.0990125 0.1367645 0.1062605
## [1149] 0.1067220 0.1458000 0.0706880 0.0285605 0.0200000 0.0171125 0.0253125
## [1156] 0.0190125 0.0216320 0.0239805 0.0295245 0.0322580 0.0142805 0.0276125
## [1163] 0.0253125 0.0184320 0.0000000 0.1507005 0.0824180 0.1485125 0.0796005
## [1170] 0.1290320 0.0278480 0.0246420 0.0160205 0.0547805 0.0438080 0.0776180
## [1177] 0.0588245 0.0609005 0.0250880 0.0435125 0.0295245 0.0206045 0.1562405
## [1184] 0.1716980 0.2782580 0.1764180 0.1260020 0.1076480 0.1137645 0.1099805
## [1191] 0.1305605 0.2119005 0.1300500 0.0985680 0.1245005 0.0865280 0.0800000
## [1198] 0.1490580 0.1205405 0.1752320 0.0630125 0.0994580 0.1210320 0.1275125
## [1205] 0.0612500 0.0534645 0.0171125 0.0330245 0.0190125 0.0112500 0.0160205
## [1212] 0.2022480 0.1830125 0.1836180 0.2093045 0.2325620 0.2016125 0.1997120
## [1219] 0.2093045 0.1997120 0.1940645 0.2224445 0.2158245 0.1842245 0.1441845
## [1226] 0.2184605 0.1897280 0.1934420 0.1872720 0.2138580 0.2171405 0.2339280
## [1233] 0.2106005 0.2271380 0.1959380 0.2080125 0.2291645 0.1953125 0.2048000
## [1240] 0.1176125 0.1367645 0.1225125 0.1161620 0.1441845 0.1161620 0.1501520
## [1247] 0.1613120 0.1147205 0.1017005 0.0903125 0.1468820 0.0741125 0.1240020
## [1254] 0.1658880 0.1501520 0.1039680 0.1891125 0.1915805 0.1425780 0.1062605
## [1261] 0.0976820 0.1118645 0.1076480 0.0612500 0.0462080 0.0359120 0.1310720
## [1268] 0.1818045 0.2346125 0.1230080 0.1352000 0.1752320 0.1812020 0.0619520
## [1275] 0.1085780 0.1152000 0.1195605 0.1507005 0.1104500 0.0915920 0.0462080
## [1282] 0.0160205 0.0852845 0.0733445 0.0444020 0.0237620 0.0196020 0.0619520
## [1289] 0.0212180 0.0320045 0.0253125 0.0242000 0.0305045 0.0544500 0.0515205
## [1296] 0.0602045 0.0206045 0.0426320 0.0369920 0.0288000 0.2016125 0.2028845
## [1303] 0.1860500 0.2048000 0.2009780 0.2054405 0.2086580 0.1891125 0.1971920
## [1310] 0.1842245 0.0435125 0.0280845 0.0695645 0.0557780 0.0420500 0.0389205
## [1317] 0.0364500 0.0554445 0.0524880 0.0420500 0.0302580 0.0499280 0.0386420
## [1324] 0.0180500 0.0123245 0.0021780 0.0118580 0.0141120 0.0030420 0.0305045
## [1331] 0.0160205 0.0280845 0.0262205 0.0171125 0.0253125 0.0231125 0.0163805
## [1338] 0.0182405 0.0253125 0.1878845 0.2251205 0.2237805 0.2730605 0.2752820
## [1345] 0.2485125 0.2191220 0.2067245 0.1534580 0.1441845 0.1884980 0.1746405
## [1352] 0.2184605 0.2009780 0.1315845 0.2099520 0.1740500 0.2086580 0.2305205
## [1359] 0.1922000 0.1946880 0.2415125 0.2649920 0.2093045 0.2649920 0.2251205
## [1366] 0.1699445 0.0383645 0.0788045 0.0836405 0.1205405 0.1104500 0.1008005
## [1373] 0.0644405 0.0752720 0.0968000 0.0706880 0.1171280 0.0780125 0.0920205
## [1380] 0.0990125 0.3461120 0.0824180 0.0886205 0.1431125 0.1693620 0.1215245
## [1387] 0.1320980 0.1090445 0.1147205 0.1030580 0.1409805 0.0915920 0.0722000
## [1394] 0.0968000 0.1137645 0.0937445 0.1362420 0.0985680 0.1265045 0.1255005
## [1401] 0.1352000 0.1468820 0.1534580 0.1220180 0.1529045 0.1123380 0.1601780
## [1408] 0.1551245 0.0928805 0.0706880 0.0776180 0.1137645 0.0994580 0.0644405
## [1415] 0.0619520 0.0602045 0.0408980 0.0640820 0.0630125 0.0651605 0.0840500
## [1422] 0.0351125 0.0882000 0.0000000 0.0937445 0.0985680 0.0000000 0.0438080
## [1429] 0.0673445 0.0386420 0.0317520 0.0310005 0.0226845 0.0483605 0.0521645
## [1436] 0.0808020 0.0950480 0.1265045 0.0954845 0.1026045 0.0718205 0.0924500
## [1443] 0.0915920 0.0788045 0.0873620 0.0950480 0.0954845 0.1250000 0.1441845
## [1450] 0.1507005 0.1220180 0.1326125 0.1123380 0.1205405 0.1035125 0.1490580
## [1457] 0.0890420 0.1601780 0.1305605 0.1630205 0.1758245 0.1978205 0.1326125
## [1464] 0.1090445 0.0816080 0.1176125 0.0505620 0.1185845 0.1458000 0.1290320
## [1471] 0.0894645 0.0605520 0.1180980 0.1200500 0.1095120 0.0768320 0.0788045
## [1478] 0.1388645 0.1099805 0.1132880 0.1220180 0.1265045 0.1326125 0.1326125
## [1485] 0.0886205 0.1399205 0.1959380 0.1635920 0.1551245 0.1326125 0.1613120
## [1492] 0.1265045 0.1452605 0.1035125 0.1090445 0.1044245 0.0292820 0.0059405
## [1499] 0.0068445 0.0091125 0.0102245 0.0079380 0.0147920 0.0186245 0.0280845
## [1506] 0.0169280 0.0345845 0.0356445 0.0300125 0.0076880 0.0426320 0.0134480
## [1513] 0.0250880 0.0106580 0.0048020 0.0278480 0.0222605 0.0081920 0.0055125
## [1520] 0.0036980 0.0028125 0.1171280 0.1716980 0.1081125 0.0426320 0.1109205
## [1527] 0.0574605 0.1934420 0.2184605 0.2184605 0.2541845 0.1928205 0.2312000
## [1534] 0.1711125 0.0684500 0.0756605 0.0612500 0.0626580 0.0886205 0.0950480
## [1541] 0.0990125 0.1468820 0.1653125 0.1255005 0.1240020 0.1200500 0.0595125
## [1548] 0.0571220 0.0706880 0.0673445 0.0691920 0.0651605 0.0541205 0.0792020
## [1555] 0.0626580 0.0541205 0.0680805 0.1017005 0.0438080 0.1965645 0.2548980
## [1562] 0.2436020 0.2499245 0.2352980 0.1965645 0.1699445 0.1676205 0.1378125
## [1569] 0.1607445 0.1230080 0.2244500 0.1420445 0.1699445 0.1836180 0.1540125
## [1576] 0.1922000 0.1176125 0.1336445 0.1399205 0.1420445 0.1383380 0.0489845
## [1583] 0.1076480 0.0816080 0.1190720 0.1415120 0.1190720 0.1048820 0.1185845
## [1590] 0.0684500 0.0824180 0.0981245 0.0752720 0.0985680 0.1003520 0.0772245
## [1597] 0.0172980 0.0092480 0.0021780 0.0023805 0.1431125 0.1245005 0.1310720
## [1604] 0.0865280 0.0808020 0.0725805 0.0733445 0.0524880 0.0725805 0.0999045
## [1611] 0.0619520 0.0521645 0.0456020 0.0602045 0.0680805 0.1463405 0.1195605
## [1618] 0.2028845 0.1788020 0.2178000 0.2112500 0.2224445 0.2125520 0.2151680
## [1625] 0.1878845 0.1378125 0.1399205 0.1255005 0.1195605 0.1003520 0.0567845
## [1632] 0.0557780 0.0283220 0.1320980 0.1624500 0.1635920 0.1240020 0.2373605
## [1639] 0.1915805 0.2244500 0.2237805 0.2003445 0.2022480 0.2346125 0.2080125
## [1646] 0.1971920 0.1965645 0.1891125 0.2041605 0.2191220 0.1946880 0.1479680
## [1653] 0.1854405 0.1872720 0.2332445 0.2009780 0.2067245 0.1641645 0.1670420
## [1660] 0.1800000 0.1965645 0.1658880 0.0367205 0.0397620 0.0554445 0.0053045
## [1667] 0.0290405 0.0276125 0.0375380 0.2592000 0.1953125 0.2513405 0.2556125
## [1674] 0.2318805 0.2606420 0.2745405 0.2471045 0.2628125 0.2613645 0.2850125
## [1681] 0.2941445 0.2903220 0.0688205 0.1573605 0.0994580 0.0808020 0.1017005
## [1688] 0.1415120 0.1331280 0.1285245 0.1058000 0.1215245 0.0898880 0.0528125
## [1695] 0.1128125 0.1518005 0.0820125 0.1452605 0.1431125 0.1601780 0.1903445
## [1702] 0.1630205 0.1922000 0.1171280 0.1496045 0.1200500 0.0911645 0.1003520
## [1709] 0.1058000 0.1463405 0.1166445 0.0861125 0.2112500 0.2125520 0.2271380
## [1716] 0.2679120 0.2584805 0.3337445 0.2570445 0.2485125 0.2060820 0.2708480
## [1723] 0.1903445 0.1705280 0.2080125 0.2016125 0.1044245 0.0356445 0.0001445
## [1730] 0.0036125 0.0098000 0.0167445 0.0073205 0.0176720 0.0131220 0.0106580
## [1737] 0.1618805 0.2003445 0.2979920 0.1496045 0.1788020 0.0000000 0.1132880
## [1744] 0.0578000 0.0188180 0.0386420 0.0165620 0.0320045 0.0273780 0.0009680
## [1751] 0.0257645 0.0056180 0.0106580 0.1551245 0.0327680 0.0361805 0.0397620
## [1758] 0.0528125 0.0290405 0.0480500 0.0295245 0.0056180 0.0030420 0.0028125
## [1765] 0.0093845 0.0035280 0.0014580 0.0015680 0.1978205 0.1336445 0.1090445
## [1772] 0.0963605 0.1463405 0.0816080 0.0725805 0.0146205 0.0894645 0.0534645
## [1779] 0.0564480 0.1152000 0.0804005 0.0591680 0.0788045 0.0898880 0.1195605
## [1786] 0.0544500 0.0403280 0.0612500 0.0332820 0.0459045 0.0435125 0.0474320
## [1793] 0.0375380 0.0695645 0.0915920 0.0748845 0.0776180 0.0408980 0.0684500
## [1800] 0.0710645 0.0873620 0.0595125 0.0554445 0.0680805 0.0655220 0.0748845
## [1807] 0.0937445 0.0812045 0.1109205 0.1166445 0.1404500 0.1496045 0.1479680
## [1814] 0.0423405 0.0000000 0.1081125 0.1404500 0.1722845 0.1176125 0.1295405
## [1821] 0.1030580 0.1812020 0.1463405 0.1806005 0.1891125 0.2359845 0.2244500
## [1828] 0.2178000 0.1372880 0.1474245 0.1676205 0.1490580 0.1507005 0.1540125
## [1835] 0.1372880 0.1420445 0.1601780 0.1782045 0.2080125 0.1687805 0.1984500
## [1842] 0.1584845 0.1647380 0.1534580 0.1529045 0.1452605 0.1468820 0.1562405
## [1849] 0.1367645 0.1630205 0.1210320 0.1142420 0.1265045 0.1185845 0.1447220
## [1856] 0.1658880 0.1529045 0.1647380 0.1641645 0.1909620 0.1758245 0.1562405
## [1863] 0.1545680 0.1812020 0.2224445 0.1468820 0.1420445 0.1388645 0.1664645
## [1870] 0.1946880 0.2204480 0.2231120 0.1915805 0.2443005 0.2715845 0.2415125
## [1877] 0.2022480 0.1897280 0.1953125 0.1716980 0.2318805 0.1670420 0.2080125
## [1884] 0.2679120 0.1978205 0.2325620 0.1812020 0.1607445 0.2073680 0.0438080
## [1891] 0.0658845 0.0741125 0.0840500 0.0531380 0.1142420 0.0729620 0.0999045
## [1898] 0.0772245 0.1099805 0.0574605 0.0776180 0.1529045 0.1058000 0.0840500
## [1905] 0.0489845 0.0000000 0.1255005 0.1596125 0.0226845 0.0218405 0.0375380
## [1912] 0.0237620 0.0285605 0.0426320 0.0561125 0.0172980 0.0290405 0.0128000
## [1919] 0.0106580 0.0544500 0.1128125 0.0972405 0.1447220 0.1830125 0.1978205
## [1926] 0.1132880 0.0911645 0.0666125 0.0474320 0.0644405 0.0444020 0.0619520
## [1933] 0.0609005 0.0598580 0.0873620 0.0784080 0.0725805 0.1341620 0.1959380
## [1940] 0.1624500 0.1210320 0.1404500 0.1180980 0.1436480 0.1399205 0.1693620
## [1947] 0.1240020 0.1156805 0.0637245apply(df[ , 8:9], 1, var)## [1] 0.2548980 0.2178000 0.1716980 0.1618805 0.1458000 0.2903220 0.2941445
## [8] 0.3208005 0.2820005 0.5778125 0.5222420 0.5325120 0.3907280 0.5222420
## [15] 0.4032020 0.5853620 0.5171445 0.4900500 0.4122320 0.4665780 0.4213620
## [22] 0.4095125 0.3960500 0.5130845 0.3907280 0.3386645 0.3353805 0.3715220
## [29] NA NA 0.3758445 0.4095125 0.2708480 0.3663680 0.5428820
## [36] 0.4232000 0.5020020 0.5090405 0.5222420 0.4970045 0.5151125 0.4811805
## [43] 0.4315205 0.4656125 0.4541045 0.5181620 0.5253125 0.5439245 0.5273645
## [50] 0.5681780 0.5418405 0.4399220 0.5842805 0.5703120 0.5951405 0.6006080
## [57] 0.5692445 0.6050000 0.6138320 0.5995125 0.6475220 0.6094080 0.5951405
## [64] 0.5120720 0.3528000 0.2850125 NA 0.0137780 0.0079380 0.0012005
## [71] 0.0000845 0.0044180 0.0132845 0.0075645 0.0003125 0.0128000 0.0044180
## [78] 0.0335405 0.0477405 0.0394805 0.0176720 0.0521645 0.0861125 0.1630205
## [85] 0.2132045 0.1305605 0.1008005 0.1048820 0.0985680 0.0741125 0.1104500
## [92] 0.0788045 0.1026045 0.5090405 0.5810420 0.2767680 0.3536405 0.4811805
## [99] 0.4050000 0.4077045 0.3758445 0.3715220 0.3312980 0.3288605 0.3854420
## [106] 0.3144245 0.2251205 0.1099805 0.2563280 0.2009780 NA NA
## [113] NA NA NA NA NA NA 0.2577620
## [120] 0.2933780 0.3578580 0.3621005 0.3120500 0.3411380 0.3192005 0.2880405
## [127] 0.3933845 0.3112605 0.3018645 0.1940645 0.2767680 0.2499245 0.2820005
## [134] 0.4550580 0.4232000 0.4195280 0.3863205 0.3775805 0.3528000 0.3819380
## [141] 0.3444500 0.2664500 0.2888000 0.3112605 0.3010880 0.3978320 0.2679120
## [148] NA 0.2125520 0.2080125 0.2278125 0.2628125 0.3264320 0.1551245
## [155] 0.1305605 0.0828245 0.1529045 0.1195605 0.2850125 0.3561680 0.3184020
## [162] 0.2708480 0.2888000 0.3208005 0.3436205 0.4910405 0.4204445 0.4427405
## [169] 0.4522005 0.3845645 0.4077045 0.3461120 0.2775125 0.2548980 0.1891125
## [176] 0.1008005 0.0729620 0.0637245 0.3511220 0.3329280 0.3987245 0.3192005
## [183] 0.3604005 0.3732480 0.3655125 0.3863205 0.3312980 0.3978320 0.4050000
## [190] 0.4408605 0.3863205 0.4446245 0.4250420 0.4232000 0.4851125 0.5628605
## [197] 0.4608000 0.4665780 0.4305920 0.2767680 0.5151125 0.3386645 0.3452805
## [204] 0.3120500 0.3907280 0.3026420 0.4213620 0.4704500 0.4579245 0.5681780
## [211] 0.5171445 0.4077045 0.3595520 0.4762880 0.4821620 0.4792205 0.5628605
## [218] 0.5314805 NA 0.2767680 0.2933780 0.3026420 0.2520500 0.2693780
## [225] NA 0.3216020 0.3403125 0.3096845 0.3880805 0.4694805 0.3872000
## [232] 0.3394880 0.3057620 0.6204980 0.5886125 0.6914880 0.6160500 0.6647045
## [239] 0.5100500 0.6509405 0.6116180 0.5671125 0.6361920 0.5533520 0.4095125
## [246] 0.2964500 0.3987245 0.4880720 0.3224045 0.3296720 0.3168080 0.3049805
## [253] 0.3240125 0.2373605 0.2606420 0.3120500 0.2964500 0.2686445 0.3863205
## [260] 0.2715845 0.2730605 0.3758445 0.1940645 0.1647380 0.2910845 0.3553245
## [267] 0.3304845 0.1490580 0.0637245 0.2067245 0.2099520 0.1824080 0.1891125
## [274] 0.2918480 0.2686445 NA 0.3321125 0.3288605 0.4195280 0.4427405
## [281] 0.5140980 0.4436820 0.3810645 0.4041005 0.4324500 0.4023045 0.4296645
## [288] 0.3353805 0.3889620 0.3801920 0.3595520 0.3403125 0.3104720 0.0305045
## [295] 0.0123245 0.0058320 0.0139445 0.0167445 0.0162000 0.0154880 0.0040500
## [302] 0.0147920 0.0151380 0.0151380 0.0198005 0.0353780 0.0524880 0.0737280
## [309] 0.2457005 0.3880805 0.3612500 0.3411380 0.3337445 0.4352445 0.3916125
## [316] 0.3880805 0.4140500 0.3469445 0.3570125 0.4213620 0.4296645 0.4522005
## [323] 0.4213620 0.2949120 0.3073280 0.2730605 0.3018645 0.1085780 0.1147205
## [330] 0.2158245 0.1711125 0.1764180 0.2054405 0.1722845 0.2151680 0.1463405
## [337] 0.2972205 0.2857680 0.3663680 0.3836880 0.4636845 0.3034205 NA
## [344] NA NA NA NA NA NA NA
## [351] NA NA NA NA NA NA NA
## [358] 0.3386645 0.4050000 0.3240125 0.3978320 0.3741125 0.4232000 0.3845645
## [365] 0.4694805 0.4772645 0.4446245 0.4980020 0.5325120 0.5030045 0.5263380
## [372] 0.3987245 0.4158720 0.2708480 0.3256245 0.2979920 0.2506320 0.2346125
## [379] NA 0.4436820 0.4158720 0.3444500 0.4213620 0.4465125 0.3715220
## [386] 0.3996180 0.3444500 0.3096845 0.3578580 0.3880805 0.3544820 0.4059005
## [393] 0.3240125 0.4176980 0.4041005 0.2745405 0.2723220 0.2606420 0.2592000
## [400] 0.2606420 0.2563280 0.3784500 0.2797520 0.3160125 0.3026420 0.3362000
## [407] 0.3304845 0.3345620 0.3942720 0.4821620 0.5263380 0.7552205 0.7320500
## [414] 0.6903125 0.6797780 0.6498000 0.3088980 0.4465125 0.4503005 0.4960080
## [421] 0.5788880 0.5713805 0.5242880 NA 0.2408180 0.2790045 0.2888000
## [428] 0.2184605 0.2987645 0.2926125 0.3264320 0.3034205 0.4305920 0.3264320
## [435] 0.3784500 0.3810645 NA NA 0.4910405 0.4685120 0.5575680
## [442] 0.6171605 0.5745920 0.5671125 0.5325120 0.6017045 0.5449680 0.6532245
## [449] 0.5110605 NA 0.0005780 0.0002880 0.0016820 0.0022445 0.0030420
## [456] 0.0011520 0.0010125 0.0070805 0.0004805 0.0025920 0.0003380 0.0088445
## [463] 0.0118580 0.0131220 0.0999045 0.1978205 0.2145125 0.1658880 0.2570445
## [470] 0.3042000 0.2987645 0.3689405 0.3655125 0.2995380 0.3112605 0.2671805
## [477] 0.3042000 0.3362000 0.3337445 0.3880805 0.4158720 0.3775805 0.2918480
## [484] 0.4920320 0.3987245 0.4005125 0.3889620 0.3775805 0.3672245 0.3312980
## [491] 0.3502845 0.3427920 0.3042000 0.3112605 0.4059005 0.4324500 0.4550580
## [498] 0.5120720 NA NA 0.5010005 0.4059005 0.4068020 0.5100500
## [505] 0.5181620 0.5554580 0.3828125 0.2987645 0.4598405 NA NA
## [512] NA NA 0.3723845 0.3200000 0.3304845 0.2820005 0.2872820
## [519] 0.3469445 0.4427405 0.4250420 0.4753125 0.4617605 0.4821620 0.4512500
## [526] 0.4014080 0.3128405 0.2513405 0.5628605 0.4890605 0.3872000 0.5232645
## [533] 0.3655125 0.4851125 0.4296645 0.3240125 0.2686445 0.3104720 0.2956805
## [540] 0.2903220 0.2257920 0.1152000 NA 0.2872820 0.1934420 0.1030580
## [547] 0.2211125 0.2857680 0.2888000 0.2305205 0.1776080 0.0093845 0.0178605
## [554] 0.0518420 0.0239805 0.0655220 0.0353780 0.0353780 0.0062720 0.0383645
## [561] 0.0188180 0.0531380 0.0305045 0.0392000 NA 0.1641645 0.2450000
## [568] 0.2708480 0.2642645 0.2657205 0.2865245 0.3394880 0.2995380 0.3042000
## [575] 0.2548980 0.2620880 0.2592000 0.2457005 0.2693780 0.5639220 0.5050125
## [582] 0.4287380 0.4802000 0.5628605 0.5212205 0.6006080 0.5202000 0.5502005
## [589] 0.1062605 0.0315005 0.0752720 0.5191805 0.4646480 0.2606420 0.2949120
## [596] 0.2506320 0.1848320 0.1740500 0.1818045 0.2106005 0.2499245 0.3280500
## [603] 0.3477780 0.4880720 0.4113245 0.3232080 NA 0.1953125 NA
## [610] 0.1584845 0.1758245 0.2073680 0.1848320 0.1468820 0.0744980 0.0273780
## [617] 0.0444020 0.0361805 0.1067220 0.0820125 0.1171280 0.1806005 0.2003445
## [624] 0.2760245 0.3916125 0.3208005 0.3034205 0.3680820 0.4465125 0.4158720
## [631] 0.4831445 0.3232080 0.2888000 0.3073280 0.2745405 0.2093045 NA
## [638] 0.5356125 0.7837520 0.7900245 0.7900245 0.7988480 0.7356845 0.7417620
## [645] 0.6006080 0.6704820 0.6751220 0.7140125 0.6463845 0.5050125 0.1425780
## [652] 0.2271380 0.1740500 0.1556820 0.1978205 0.3646580 0.3208005 0.2979920
## [659] 0.2422080 0.2972205 0.3208005 0.3689405 0.3003125 0.3486125 0.2464020
## [666] 0.3144245 0.2620880 0.2443005 0.2850125 0.3689405 0.2534720 0.2352980
## [673] 0.2171405 0.2635380 0.1026045 0.1518005 0.1997120 0.0963605 0.0915920
## [680] 0.0722000 0.0894645 0.1109205 0.1501520 0.0353780 0.0444020 0.2850125
## [687] 0.1776080 0.2048000 0.2723220 0.2556125 0.3112605 0.3819380 0.4005125
## [694] 0.3353805 0.4465125 0.2541845 0.2527605 0.2485125 0.2827520 0.0200000
## [701] 0.0002420 0.0006480 0.0028880 0.0000500 0.0124820 0.0198005 0.0459045
## [708] 0.0380880 0.0666125 NA NA 0.5575680 0.5408000 0.6361920
## [715] 0.5294205 0.5681780 0.5253125 0.5050125 0.6116180 0.6171605 0.5253125
## [722] 0.6658580 0.5821205 0.4569680 0.0950480 0.1341620 0.0828245 0.0571220
## [729] 0.0959220 0.1156805 NA 0.1171280 NA 0.4167845 0.4636845
## [736] 0.4241205 0.3240125 0.4474580 0.2910845 0.2797520 0.3680820 0.3049805
## [743] 0.2584805 0.3386645 0.2592000 0.2048000 0.2485125 0.1613120 0.2106005
## [750] 0.3232080 0.2592000 0.1280180 0.1372880 0.1848320 0.1782045 0.1579220
## [757] 0.1128125 0.0760500 0.0848720 0.0633680 0.0468180 NA 0.3329280
## [764] 0.3329280 0.1081125 NA 0.1099805 0.0796005 0.1367645 0.1388645
## [771] 0.1235045 NA NA NA 0.4714205 0.5544045 0.4841280
## [778] 0.3612500 0.3272405 0.2888000 0.2642645 0.2760245 0.3621005 0.2865245
## [785] 0.4560125 0.3784500 0.0266805 0.0136125 0.0351125 0.0364500 0.0214245
## [792] 0.0367205 0.0257645 0.0100820 0.0154880 0.0253125 0.0073205 0.0237620
## [799] 0.0447005 0.0584820 NA 0.2106005 0.2880405 0.2820005 0.2827520
## [806] 0.2812500 0.2513405 0.2443005 0.2620880 0.2318805 0.2119005 0.2099520
## [813] 0.2556125 0.2164820 0.3176045 NA 0.3272405 0.4023045 0.2112500
## [820] 0.4811805 0.4522005 0.3160125 0.5460125 0.4851125 0.4772645 0.4841280
## [827] 0.4068020 0.4131405 0.4493520 0.4940180 0.5565125 0.2606420 0.2820005
## [834] 0.3176045 0.3200000 0.3889620 0.3536405 0.3329280 0.2895605 0.4512500
## [841] 0.4733645 0.4531520 0.3715220 0.5130845 0.5222420 NA 0.4041005
## [848] 0.4522005 0.4512500 0.4140500 0.3088980 NA 0.3176045 0.2857680
## [855] 0.3272405 0.2888000 0.3741125 0.4493520 0.3801920 0.3767120 NA
## [862] 0.3010880 0.3494480 0.3312980 NA NA NA NA
## [869] NA NA NA NA NA NA NA
## [876] 0.6486605 0.6171605 0.6272000 0.5984180 0.5387220 0.5376845 0.5491520
## [883] 0.5502005 0.3208005 0.2820005 0.2723220 0.3120500 0.4250420 0.2910845
## [890] 0.2570445 0.3872000 0.2775125 0.4241205 0.3304845 0.4041005 0.4059005
## [897] 0.3570125 0.2106005 0.2291645 0.1997120 0.1404500 0.1922000 0.1529045
## [904] 0.1171280 0.1664645 0.2812500 0.2880405 0.2941445 0.3176045 0.4186125
## [911] 0.4259645 0.3362000 0.2910845 0.2244500 0.3329280 0.3264320 0.2132045
## [918] 0.2264645 NA 0.1590480 0.2231120 0.1336445 NA NA
## [925] NA NA NA NA NA NA 0.5191805
## [932] 0.5202000 0.5232645 0.5366480 0.4980020 0.5907845 0.4714205 0.4851125
## [939] 0.1468820 0.2164820 0.3706605 0.2671805 0.2048000 0.3933845 0.3427920
## [946] 0.0310005 0.0052020 0.0244205 0.0081920 NA 0.1346805 0.1215245
## [953] 0.1562405 0.1842245 0.6797780 0.5951405 0.6373205 0.6294420 0.4380480
## [960] 0.4352445 0.4140500 0.3587045 0.3916125 0.5242880 0.4531520 0.5110605
## [967] 0.4831445 0.3933845 NA 0.3469445 0.3978320 0.3749780 0.3836880
## [974] 0.4095125 0.3715220 0.4278125 0.4522005 0.3329280 0.3378420 0.4851125
## [981] 0.4733645 0.4714205 0.3655125 0.3544820 0.4436820 0.5470580 0.2184605
## [988] 0.3828125 0.3663680 0.4041005 0.4646480 0.3767120 0.3863205 0.3345620
## [995] 0.3018645 0.3386645 NA NA 0.2394320 0.2790045 0.2880405
## [1002] 0.7963220 0.7787520 0.7442000 0.8217620 0.7650845 0.6182720 0.7564500
## [1009] 0.6879645 0.7429805 0.6938420 0.7381125 0.4646480 0.5929605 0.5345780
## [1016] 0.4522005 0.0465125 0.0534645 0.0397620 0.0591680 0.0630125 0.0338000
## [1023] 0.0521645 0.0567845 0.0408980 0.0828245 0.0946125 NA 0.3801920
## [1030] 0.4598405 0.4131405 0.3933845 0.3312980 0.4068020 0.4352445 0.3872000
## [1037] 0.3924980 0.2679120 0.1132880 0.1195605 0.1315845 0.2842580 0.2570445
## [1044] 0.3034205 0.2910845 0.3018645 0.2872820 0.2520500 0.2401245 0.2284880
## [1051] 0.1452605 0.2520500 0.3528000 0.3758445 0.3296720 0.3680820 0.3444500
## [1058] 0.1205405 0.1836180 0.1897280 0.2941445 0.2171405 NA 0.3469445
## [1065] 0.4324500 0.3288605 0.3519605 0.3419645 0.3828125 0.3264320 0.2415125
## [1072] 0.3767120 0.4343120 0.4343120 0.3419645 0.3907280 NA NA
## [1079] NA NA NA 0.0353780 0.0502445 0.0616005 0.0954845
## [1086] 0.0865280 0.1812020 NA 0.2164820 0.3689405 0.3272405 0.2257920
## [1093] 0.2415125 0.2649920 0.2850125 0.2067245 0.2178000 0.5171445 0.4324500
## [1100] 0.3386645 0.3570125 0.2151680 0.2471045 0.2827520 0.2671805 0.3680820
## [1107] 0.3723845 0.3272405 NA 0.3544820 0.4167845 0.3528000 0.2745405
## [1114] 0.3176045 0.2635380 0.3042000 0.2620880 0.3698000 0.4627220 0.5030045
## [1121] 0.4880720 0.4512500 0.4023045 0.5940500 0.6227280 0.4821620 0.5242880
## [1128] 0.5171445 0.5397605 0.5050125 0.5100500 0.5387220 0.5335445 0.5161280
## [1135] 0.4792205 0.5130845 0.4762880 0.4990005 0.3646580 0.3996180 0.3436205
## [1142] 0.3042000 0.3403125 0.3136320 0.2910845 0.2642645 0.3280500 0.2782580
## [1149] 0.3160125 0.2620880 0.2464020 0.4503005 0.4408605 0.4636845 0.4880720
## [1156] 0.4484045 0.3775805 0.2251205 0.4278125 0.4380480 0.3519605 0.3362000
## [1163] 0.4278125 0.3081125 0.5639220 0.5973245 0.5325120 0.4811805 0.5724500
## [1170] 0.4550580 0.5586245 0.5799645 0.5010005 0.5325120 0.2570445 0.3042000
## [1177] 0.3680820 0.2760245 0.1474245 0.2534720 0.2060820 0.1854405 0.0012500
## [1184] 0.0013005 0.0056180 0.0015125 0.0025920 0.0004805 0.0123245 0.0073205
## [1191] 0.0156645 0.4418000 0.4733645 0.5212205 0.5151125 0.5544045 0.4176980
## [1198] NA 0.1647380 0.1854405 0.4104180 0.3353805 0.4465125 0.3304845
## [1205] 0.2635380 0.2592000 0.1782045 0.2106005 0.2022480 0.1922000 0.1485125
## [1212] NA 0.0051005 0.0014580 0.0012500 0.0002645 0.0106580 0.0200000
## [1219] 0.0079380 0.0114005 0.0188180 0.0063845 0.0220500 0.0108045 0.0084500
## [1226] 0.0038720 0.0001280 0.0006480 0.0022445 0.0001125 0.0000020 0.0028125
## [1233] 0.0028125 0.0102245 0.0000720 0.0025920 0.0037845 0.0029645 0.0124820
## [1240] 0.3477780 0.2352980 0.2760245 0.2620880 0.3073280 0.3042000 0.1965645
## [1247] 0.1782045 0.1770125 0.2119005 0.2394320 0.2197845 0.2478080 0.1758245
## [1254] 0.2305205 0.3232080 0.3232080 0.1210320 0.1523520 0.1824080 0.3536405
## [1261] 0.3104720 0.2119005 0.2701125 0.3444500 0.3264320 0.1971920 0.2471045
## [1268] 0.3088980 0.3057620 0.2987645 0.3578580 0.3561680 0.3477780 0.3646580
## [1275] 0.4617605 0.3715220 0.2527605 0.3836880 0.3536405 0.3312980 NA
## [1282] NA NA NA NA NA NA 0.3120500
## [1289] 0.3924980 0.4176980 0.4531520 0.5040080 0.3494480 0.3411380 0.3793205
## [1296] 0.3120500 0.4186125 0.4522005 0.4041005 0.2782580 0.0414720 0.1176125
## [1303] 0.0244205 0.0250880 0.0008820 0.0383645 0.0000980 0.0151380 0.0128000
## [1310] 0.0192080 NA NA 0.2485125 0.2797520 0.3176045 0.1523520
## [1317] 0.3419645 0.2291645 0.2394320 0.1441845 0.1997120 0.2436020 0.2237805
## [1324] 0.2664500 0.2125520 NA 0.4268880 0.3386645 0.3889620 0.3775805
## [1331] 0.3845645 0.3898445 0.4324500 0.4522005 0.4296645 0.4427405 0.4940180
## [1338] NA NA 0.4598405 0.3461120 0.3370205 0.3828125 0.3951605
## [1345] 0.3452805 0.3184020 0.3168080 0.3570125 0.3337445 0.4408605 0.5110605
## [1352] 0.4685120 0.5703120 0.3003125 0.3184020 0.3477780 0.3444500 0.2478080
## [1359] 0.1596125 0.1647380 0.3672245 0.2918480 0.3793205 0.3419645 0.3256245
## [1366] 0.3646580 0.4665780 0.5090405 0.4636845 0.4598405 0.4427405 0.4484045
## [1373] 0.4474580 0.4380480 0.5140980 0.4743380 0.5000000 0.5502005 0.5875280
## [1380] 0.5040080 0.3026420 0.4068020 0.2693780 0.3208005 0.3034205 0.2520500
## [1387] 0.2577620 0.2701125 0.3216020 0.3248180 0.3723845 0.3629520 0.3477780
## [1394] 0.3452805 0.3698000 NA 0.4723920 0.3403125 0.4077045 0.4753125
## [1401] 0.4186125 0.5544045 0.4627220 0.4077045 0.4408605 0.2895605 0.4743380
## [1408] 0.4296645 0.3152180 0.5607405 0.6612500 0.5554580 0.6441125 0.5575680
## [1415] 0.5660480 0.5692445 0.6094080 0.6578045 0.5586245 0.6509405 0.6601005
## [1422] 0.6105125 0.0013005 NA NA NA NA NA
## [1429] 0.6463845 0.6762845 0.5607405 0.6094080 0.5735205 0.5842805 0.5596820
## [1436] 0.6083045 0.5660480 0.5896980 0.6475220 0.6903125 0.7712820 0.7405445
## [1443] 0.7552205 0.7650845 0.7601445 0.7368980 0.7576805 0.7478645 0.6429780
## [1450] 0.5875280 0.6116180 0.5070245 0.5120720 0.4646480 0.3996180 NA
## [1457] 0.0361805 0.0844605 0.0200000 0.0043245 0.0105125 0.0051005 0.0024500
## [1464] 0.0089780 0.0132845 0.0057245 0.0054080 NA NA 0.1404500
## [1471] 0.1540125 NA NA NA NA NA NA
## [1478] NA NA NA NA NA 0.3663680 0.3436205
## [1485] 0.4131405 0.4550580 0.4305920 0.5304500 0.3942720 0.3951605 0.2775125
## [1492] 0.3836880 0.3872000 0.3775805 0.3863205 0.3321125 0.5724500 0.6486605
## [1499] 0.6441125 0.6751220 0.5853620 0.5080320 0.3528000 0.4241205 0.4588820
## [1506] 0.4305920 0.4646480 0.3638045 0.2278125 0.2701125 0.1693620 0.3018645
## [1513] 0.4032020 0.3612500 0.4296645 0.2827520 0.3003125 0.2865245 0.2956805
## [1520] 0.2895605 0.3200000 NA 0.0262205 0.0002000 0.0060500 0.0030420
## [1527] 0.0307520 0.0080645 0.0002205 0.0013005 0.0046080 0.0003380 0.0132845
## [1534] 0.0009245 0.4960080 0.5080320 0.4023045 0.4371125 0.4665780 0.5408000
## [1541] 0.5575680 0.4782420 0.4753125 0.5799645 0.5565125 0.4762880 0.2211125
## [1548] 0.3386645 0.3329280 0.4213620 0.4149605 0.3889620 0.3672245 0.3907280
## [1555] 0.3987245 0.3646580 0.4588820 0.3933845 0.3854420 NA NA
## [1562] NA NA NA NA NA NA 0.5171445
## [1569] 0.4617605 0.5596820 0.4930245 0.4733645 0.5010005 0.3845645 0.4389845
## [1576] 0.4802000 0.3898445 0.4940180 0.3969405 0.4550580 0.4296645 0.3621005
## [1583] 0.3715220 0.3810645 0.3898445 0.3081125 0.3828125 NA 0.3889620
## [1590] 0.3845645 0.3845645 0.3494480 0.3502845 0.3924980 0.2987645 0.2972205
## [1597] NA NA NA NA NA 0.3845645 0.3469445
## [1604] 0.4278125 0.4782420 0.4685120 0.4077045 0.5171445 0.3889620 0.3996180
## [1611] 0.3758445 0.3386645 0.3629520 0.3034205 0.3621005 0.3010880 0.2715845
## [1618] 0.2436020 0.0737280 0.1300500 0.1891125 0.2191220 0.1647380 0.1210320
## [1625] 0.1458000 0.2812500 0.2812500 0.3296720 0.1946880 0.3018645 0.2359845
## [1632] 0.3120500 0.3672245 0.3427920 0.4841280 0.3784500 0.4186125 NA
## [1639] 0.0102245 0.0178605 0.0025205 0.0062720 0.0058320 0.0074420 0.0136125
## [1646] 0.0011520 0.0002205 0.0050000 0.0023805 0.0172980 0.0126405 0.0062720
## [1653] 0.0069620 0.0235445 0.0169280 0.0248645 0.0051005 0.0228980 0.0092480
## [1660] 0.0200000 0.0332820 0.0591680 0.1556820 0.1836180 0.2701125 0.1860500
## [1667] 0.0637245 0.0959220 0.2048000 0.3836880 0.3216020 0.3329280 0.2592000
## [1674] 0.3049805 0.3519605 0.2995380 0.3511220 0.3698000 0.3304845 NA
## [1681] NA NA 0.3663680 0.2171405 0.2485125 0.3128405 0.1903445
## [1688] 0.3128405 0.3120500 0.2457005 0.2422080 0.2592000 0.1934420 0.1764180
## [1695] 0.2067245 0.1431125 0.1740500 0.2284880 0.2592000 0.2271380 0.1770125
## [1702] 0.2642645 0.3715220 0.2271380 0.3240125 0.2949120 0.2865245 0.1568000
## [1709] 0.1447220 0.1053405 0.1195605 0.0255380 0.1824080 0.1285245 0.1290320
## [1716] 0.0718205 0.0725805 0.1367645 0.1399205 0.1099805 0.0673445 0.1788020
## [1723] 0.1362420 0.2257920 0.2099520 0.1613120 0.2080125 0.3672245 0.4870845
## [1730] 0.4068020 0.3872000 0.3216020 0.3378420 0.2949120 0.3329280 0.2257920
## [1737] 0.3010880 0.3801920 0.3378420 0.3362000 0.4014080 0.3536405 0.3758445
## [1744] 0.6182720 0.5778125 0.5973245 0.5151125 0.5418405 0.4762880 0.5918720
## [1751] 0.5314805 0.6028020 0.5821205 NA 0.4782420 0.4743380 0.5832000
## [1758] 0.4980020 0.3969405 0.4213620 0.4296645 0.3104720 0.3378420 0.3436205
## [1765] 0.4122320 0.4811805 0.4014080 0.3916125 NA NA NA
## [1772] NA NA NA NA NA NA NA
## [1779] 0.3595520 0.3889620 0.4077045 0.3845645 0.3784500 0.3184020 0.2865245
## [1786] 0.2941445 0.3951605 0.2723220 0.2305205 0.2857680 0.3018645 0.2359845
## [1793] 0.2671805 0.7032980 0.7308405 0.7128180 0.7236045 0.6532245 0.6739605
## [1800] 0.6260805 0.6647045 0.3553245 0.4851125 0.3872000 0.4408605 0.5171445
## [1807] 0.4665780 0.3362000 0.0278480 0.0512000 0.0444020 NA NA
## [1814] NA NA NA NA NA NA NA
## [1821] NA NA 0.0131220 0.0235445 0.0237620 0.0169280 0.0052020
## [1828] 0.0014580 0.0246420 0.0083205 0.0121680 0.0216320 0.0081920 0.0158420
## [1835] 0.0228980 0.0411845 NA 0.0950480 0.0852845 0.1076480 0.0994580
## [1842] 0.1436480 0.1225125 0.1118645 0.1156805 0.1147205 0.1770125 0.1171280
## [1849] 0.1764180 0.1584845 0.2073680 0.1740500 0.3034205 0.2738000 0.2191220
## [1856] 0.1978205 0.2022480 0.1501520 0.1978205 0.1836180 0.2485125 0.2797520
## [1863] 0.2577620 0.3042000 0.2408180 0.1653125 0.2620880 NA 0.1782045
## [1870] 0.1507005 0.1152000 0.1250000 0.1095120 0.1128125 0.0046080 NA
## [1877] 0.0584820 0.0204020 0.0214245 NA 0.2291645 0.5010005 0.4455680
## [1884] 0.4131405 0.4980020 0.4380480 0.5586245 0.5263380 0.4324500 0.5460125
## [1891] 0.5130845 NA NA NA NA 0.2211125 0.1728720
## [1898] 0.4050000 0.2805005 0.2028845 0.4278125 0.3184020 NA NA
## [1905] 0.3951605 NA 0.3604005 0.4176980 NA 0.3907280 0.4579245
## [1912] 0.4296645 0.4646480 0.5660480 0.5428820 0.4685120 NA NA
## [1919] NA NA 0.3128405 0.5151125 0.3477780 0.5130845 0.3863205
## [1926] 0.3184020 0.3494480 0.3362000 0.4140500 0.2106005 0.1800000 0.2910845
## [1933] 0.2850125 0.2842580 0.4811805 0.5283920 0.5554580 0.5090405 0.4241205
## [1940] 0.4213620 0.4627220 0.4371125 0.3996180 0.4352445 0.3353805 0.3604005
## [1947] 0.4158720 0.4005125 0.3184020tapply(df1$Life.Ladder, df1$year, FUN = mean)## 2005 2006 2007 2008 2009 2010 2011 2012
## 6.446259 5.196899 5.418275 5.418509 5.457667 5.496806 5.424082 5.443754
## 2013 2014 2015 2016 2017 2018 2019 2020
## 5.394562 5.389021 5.404035 5.399479 5.460408 5.499444 5.570868 5.840600tapply(df1$Log.GDP.per.capita, df1$year, FUN = mean)## 2005 2006 2007 2008 2009 2010 2011 2012
## 10.118667 8.942663 9.172951 9.167273 9.182544 9.318089 9.223240 9.258331
## 2013 2014 2015 2016 2017 2018 2019 2020
## 9.304818 9.177090 9.199238 9.204359 9.333109 9.009275 9.082153 9.032811tapply(df1$Positive.affect, df1$year, FUN = mean)## 2005 2006 2007 2008 2009 2010 2011 2012
## 0.7208889 0.7190899 0.7022255 0.6934000 0.6999035 0.6891774 0.6967534 0.7070000
## 2013 2014 2015 2016 2017 2018 2019 2020
## 0.7015328 0.6895448 0.7043566 0.7114859 0.7001837 0.6989155 0.7062778 0.7128421tapply(df1$Life.Ladder, df1$year, FUN = var)## 2005 2006 2007 2008 2009 2010 2011 2012
## 0.8447986 1.1980294 1.0981360 1.3675553 1.0602607 1.2670014 1.1751213 1.2467986
## 2013 2014 2015 2016 2017 2018 2019 2020
## 1.3942517 1.3352361 1.2455428 1.3010731 1.3014348 1.1739480 1.2362105 0.9576736tapply(df1$Positive.affect, df1$year, FUN = var)## 2005 2006 2007 2008 2009 2010 2011
## 0.02838226 0.01056076 0.01436578 0.02117050 0.01632127 0.02835000 0.01699199
## 2012 2013 2014 2015 2016 2017 2018
## 0.01354145 0.01838371 0.02427633 0.01471885 0.00983601 0.01507521 0.01898430
## 2019 2020
## 0.01590328 0.01253103tapply(df1$Life.Ladder, df1$ï..Country.name, FUN = mean)## Afghanistan Albania Algeria
## 3.594667 5.019385 5.389875
## Angola Argentina Armenia
## 4.420250 6.310133 4.513571
## Australia Austria Azerbaijan
## 7.282071 7.242231 4.941000
## Bahrain Bangladesh Belarus
## 6.001727 4.754467 5.571071
## Belgium Belize Benin
## 6.981500 6.203500 4.047917
## Bhutan Bolivia Bosnia and Herzegovina
## 5.196667 5.733400 5.190769
## Botswana Brazil Bulgaria
## 3.996333 6.620867 4.574083
## Burkina Faso Burundi Cambodia
## 4.168231 3.548200 4.250800
## Cameroon Canada Central African Republic
## 4.622333 7.376333 3.515000
## Chad Chile China
## 4.045143 6.356667 5.047933
## Colombia Comoros Congo (Brazzaville)
## 6.248533 3.944000 4.465700
## Congo (Kinshasa) Costa Rica Croatia
## 4.348375 7.179357 5.628000
## Cuba Cyprus Czech Republic
## 5.418000 6.104923 6.591750
## Denmark Djibouti Dominican Republic
## 7.680400 4.822500 5.216133
## Ecuador Egypt El Salvador
## 5.740533 4.530133 5.951933
## Estonia Ethiopia Finland
## 5.633071 4.399111 7.597154
## France Gabon Gambia
## 6.669667 4.435222 4.734667
## Georgia Germany Ghana
## 4.282000 6.843133 4.819000
## Greece Guatemala Guinea
## 5.549929 6.253214 4.112556
## Guyana Haiti Honduras
## 5.993000 3.954182 5.392571
## Hong Kong S.A.R. of China Hungary Iceland
## 5.447091 5.306857 7.446500
## India Indonesia Iran
## 4.473200 5.227571 4.864692
## Iraq Ireland Israel
## 4.676750 7.067714 7.218400
## Italy Ivory Coast Jamaica
## 6.285333 4.605444 5.800167
## Japan Jordan Kazakhstan
## 6.016400 5.215933 5.806133
## Kenya Kosovo Kuwait
## 4.402933 5.672571 6.273727
## Kyrgyzstan Laos Latvia
## 5.169867 5.003000 5.427214
## Lebanon Lesotho Liberia
## 4.981571 4.003250 4.047333
## Libya Lithuania Luxembourg
## 5.545667 5.825867 7.047182
## Madagascar Malawi Malaysia
## 3.980818 4.054750 5.795417
## Maldives Mali Malta
## 5.198000 4.249462 6.394333
## Mauritania Mauritius Mexico
## 4.411462 5.863857 6.697933
## Moldova Mongolia Montenegro
## 5.613533 5.058077 5.311769
## Morocco Mozambique Myanmar
## 5.019800 4.683625 4.408667
## Namibia Nepal Netherlands
## 4.603667 4.689500 7.466286
## New Zealand Nicaragua Niger
## 7.310286 5.626714 4.254214
## Nigeria North Cyprus North Macedonia
## 5.013538 5.651571 4.915000
## Norway Oman Pakistan
## 7.512400 6.853000 5.242500
## Palestinian Territories Panama Paraguay
## 4.618357 6.683714 5.559077
## Peru Philippines Poland
## 5.594286 5.215333 5.929429
## Portugal Qatar Romania
## 5.441385 6.569200 5.525846
## Russia Rwanda Saudi Arabia
## 5.520867 3.654417 6.538133
## Senegal Serbia Sierra Leone
## 4.441786 5.245231 4.112083
## Singapore Slovakia Slovenia
## 6.504231 6.063917 6.053615
## Somalia Somaliland region South Africa
## 5.183333 4.909000 4.873000
## South Korea South Sudan Spain
## 5.874933 3.402000 6.509733
## Sri Lanka Sudan Suriname
## 4.308462 4.378600 6.269000
## Swaziland Sweden Switzerland
## 4.491667 7.369467 7.548300
## Syria Taiwan Province of China Tajikistan
## 4.017000 6.321615 4.938600
## Tanzania Thailand Togo
## 3.697333 6.087467 3.555000
## Trinidad and Tobago Tunisia Turkey
## 6.281400 4.755833 5.238600
## Turkmenistan Uganda Ukraine
## 5.600500 4.304133 4.767467
## United Arab Emirates United Kingdom United States
## 6.800462 6.917600 7.090200
## Uruguay Uzbekistan Venezuela
## 6.261867 5.791615 6.019867
## Vietnam Yemen Zambia
## 5.305857 3.912250 4.551714
## Zimbabwe
## 3.882600tapply(df1$Log.GDP.per.capita, df1$ï..Country.name, FUN = mean)## Afghanistan Albania Algeria
## 7.650833 9.384385 9.328875
## Angola Argentina Armenia
## 8.990000 10.033800 9.270357
## Australia Austria Azerbaijan
## 10.755571 10.886846 9.519571
## Bahrain Bangladesh Belarus
## 10.730818 8.128600 9.760071
## Belgium Belize Benin
## 10.798714 8.887500 7.985917
## Bhutan Bolivia Bosnia and Herzegovina
## 9.169667 8.897600 9.430769
## Botswana Brazil Bulgaria
## 9.678750 9.583933 9.879583
## Burkina Faso Burundi Cambodia
## 7.527615 6.722400 8.076333
## Cameroon Canada Central African Republic
## 8.101067 10.748267 6.961000
## Chad Chile China
## 7.420214 10.000467 9.280267
## Colombia Comoros Congo (Brazzaville)
## 9.469333 7.991167 8.171300
## Congo (Kinshasa) Costa Rica Croatia
## 6.884125 9.742000 10.134462
## Cuba Cyprus Czech Republic
## 0.000000 9.703538 10.466000
## Denmark Djibouti Dominican Republic
## 10.879200 7.932500 9.563333
## Ecuador Egypt El Salvador
## 9.302867 9.248800 8.968800
## Estonia Ethiopia Finland
## 10.343714 7.526333 10.749923
## France Gabon Gambia
## 10.676267 9.624556 7.669000
## Georgia Germany Ghana
## 9.340933 10.811000 8.367000
## Greece Guatemala Guinea
## 10.333357 8.955429 7.694556
## Guyana Haiti Honduras
## 8.773000 7.446727 8.547214
## Hong Kong S.A.R. of China Hungary Iceland
## 9.898818 10.204786 10.860625
## India Indonesia Iran
## 8.489133 9.122786 7.299769
## Iraq Ireland Israel
## 9.209833 11.064857 10.503867
## Italy Ivory Coast Jamaica
## 10.647533 8.420222 9.174500
## Japan Jordan Kazakhstan
## 10.567867 9.248533 10.025467
## Kenya Kosovo Kuwait
## 8.198067 8.475143 10.974818
## Kyrgyzstan Laos Latvia
## 8.412933 8.648111 10.158714
## Lebanon Lesotho Liberia
## 9.718071 7.896750 7.295111
## Libya Lithuania Luxembourg
## 9.525500 10.275333 11.607091
## Madagascar Malawi Malaysia
## 7.365818 6.883917 10.009750
## Maldives Mali Malta
## 9.826000 7.655077 9.625500
## Mauritania Mauritius Mexico
## 8.512385 9.937429 9.834333
## Moldova Mongolia Montenegro
## 9.193667 9.197692 9.806538
## Morocco Mozambique Myanmar
## 8.850600 7.007250 8.393333
## Namibia Nepal Netherlands
## 9.164500 7.865643 10.886786
## New Zealand Nicaragua Niger
## 10.583000 8.540286 6.985357
## Nigeria North Cyprus North Macedonia
## 8.499462 0.000000 9.577308
## Norway Oman Pakistan
## 11.039100 10.382000 8.330357
## Palestinian Territories Panama Paraguay
## 7.202357 10.115500 9.283923
## Peru Philippines Poland
## 9.291286 8.819600 10.182929
## Portugal Qatar Romania
## 10.369462 11.507600 10.032769
## Russia Rwanda Saudi Arabia
## 10.132733 7.451083 10.743667
## Senegal Serbia Sierra Leone
## 7.969643 9.658769 7.355167
## Singapore Slovakia Slovenia
## 11.329000 10.258417 10.449538
## Somalia Somaliland region South Africa
## 0.000000 0.000000 9.432867
## South Korea South Sudan Spain
## 10.510400 0.000000 10.542267
## Sri Lanka Sudan Suriname
## 9.227385 8.199800 9.797000
## Swaziland Sweden Switzerland
## 9.023333 10.819600 11.095400
## Syria Taiwan Province of China Tajikistan
## 8.594714 8.265154 7.857533
## Tanzania Thailand Togo
## 7.700200 9.648333 7.239222
## Trinidad and Tobago Tunisia Turkey
## 10.250000 9.243583 10.059533
## Turkmenistan Uganda Ukraine
## 9.401900 7.574067 9.408800
## United Arab Emirates United Kingdom United States
## 11.059692 10.688467 10.956067
## Uruguay Uzbekistan Venezuela
## 9.838600 8.585308 7.584067
## Vietnam Yemen Zambia
## 8.655286 6.752250 8.066857
## Zimbabwe
## 7.850333tapply(df1$Positive.affect, df1$ï..Country.name, FUN = mean)## Afghanistan Albania Algeria
## 0.5486667 0.6538462 0.5323750
## Angola Argentina Armenia
## 0.6135000 0.8334667 0.5502143
## Australia Austria Azerbaijan
## 0.8006429 0.7880769 0.5730000
## Bahrain Bangladesh Belarus
## 0.6562727 0.5800667 0.5232857
## Belgium Belize Benin
## 0.7847143 0.7570000 0.6168333
## Bhutan Bolivia Bosnia and Herzegovina
## 0.8160000 0.7676667 0.5856154
## Botswana Brazil Bulgaria
## 0.7102500 0.7834667 0.6154167
## Burkina Faso Burundi Cambodia
## 0.6176923 0.6184000 0.7493333
## Cameroon Canada Central African Republic
## 0.6270667 0.8496000 0.5616000
## Chad Chile China
## 0.5670000 0.8170667 0.8211333
## Colombia Comoros Congo (Brazzaville)
## 0.8248667 0.6938333 0.6011000
## Congo (Kinshasa) Costa Rica Croatia
## 0.5845000 0.8660714 0.6146154
## Cuba Cyprus Czech Republic
## 0.6470000 0.7622308 0.7083333
## Denmark Djibouti Dominican Republic
## 0.8137333 0.4990000 0.7661333
## Ecuador Egypt El Salvador
## 0.8392667 0.5873333 0.8410667
## Estonia Ethiopia Finland
## 0.7040000 0.6732222 0.7742308
## France Gabon Gambia
## 0.7697333 0.5937778 0.8050000
## Georgia Germany Ghana
## 0.5342667 0.7692000 0.7150000
## Greece Guatemala Guinea
## 0.6665000 0.8451429 0.6771111
## Guyana Haiti Honduras
## 0.7680000 0.5867273 0.8260714
## Hong Kong S.A.R. of China Hungary Iceland
## 0.6871818 0.6863571 0.8708750
## India Indonesia Iran
## 0.6866667 0.8522857 0.6217692
## Iraq Ireland Israel
## 0.4840000 0.8317857 0.6733333
## Italy Ivory Coast Jamaica
## 0.6809333 0.6787778 0.7693333
## Japan Jordan Kazakhstan
## 0.7604667 0.5210667 0.7030667
## Kenya Kosovo Kuwait
## 0.7543333 0.6440000 0.6769091
## Kyrgyzstan Laos Latvia
## 0.7094000 0.8686667 0.6190714
## Lebanon Lesotho Liberia
## 0.5192143 0.7515000 0.6045556
## Libya Lithuania Luxembourg
## 0.7048333 0.5755333 0.7747273
## Madagascar Malawi Malaysia
## 0.7127273 0.6809167 0.8072500
## Maldives Mali Malta
## 0.0000000 0.7423077 0.6934167
## Mauritania Mauritius Mexico
## 0.7400000 0.7754286 0.8212667
## Moldova Mongolia Montenegro
## 0.5968667 0.6573077 0.5826154
## Morocco Mozambique Myanmar
## 0.5954000 0.6138750 0.7970000
## Namibia Nepal Netherlands
## 0.7233333 0.6313571 0.8425000
## New Zealand Nicaragua Niger
## 0.8458571 0.8060714 0.7065714
## Nigeria North Cyprus North Macedonia
## 0.7508462 0.6250000 0.5940769
## Norway Oman Pakistan
## 0.8296000 0.0000000 0.5757857
## Palestinian Territories Panama Paraguay
## 0.5833571 0.8528571 0.8677692
## Peru Philippines Poland
## 0.7783571 0.8149333 0.7421429
## Portugal Qatar Romania
## 0.6953846 0.4410000 0.6459231
## Russia Rwanda Saudi Arabia
## 0.6398000 0.7259167 0.7354000
## Senegal Serbia Sierra Leone
## 0.7375000 0.5346154 0.5455000
## Singapore Slovakia Slovenia
## 0.7157692 0.7151667 0.6430769
## Somalia Somaliland region South Africa
## 0.8753333 0.7680000 0.7807333
## South Korea South Sudan Spain
## 0.6617333 0.6002500 0.7135333
## Sri Lanka Sudan Suriname
## 0.8100769 0.6212000 0.7640000
## Swaziland Sweden Switzerland
## 0.8076667 0.8194000 0.8038000
## Syria Taiwan Province of China Tajikistan
## 0.5085714 0.8346923 0.6645333
## Tanzania Thailand Togo
## 0.7238000 0.8493333 0.5616667
## Trinidad and Tobago Tunisia Turkey
## 0.8400000 0.5146667 0.5381333
## Turkmenistan Uganda Ukraine
## 0.6282000 0.6778000 0.6010000
## United Arab Emirates United Kingdom United States
## 0.6517692 0.8054000 0.8276000
## Uruguay Uzbekistan Venezuela
## 0.8229333 0.7901538 0.8018000
## Vietnam Yemen Zambia
## 0.5992857 0.5305000 0.7206429
## Zimbabwe
## 0.7177333aggregate(df1[ , 10:11], by = list(df1$year), FUN = mean)## Group.1 Positive.affect Negative.affect
## 1 2005 0.7208889 0.2462963
## 2 2006 0.7190899 0.2517528
## 3 2007 0.7022255 0.2502157
## 4 2008 0.6934000 0.2435455
## 5 2009 0.6999035 0.2448158
## 6 2010 0.6891774 0.2329113
## 7 2011 0.6967534 0.2488219
## 8 2012 0.7070000 0.2602676
## 9 2013 0.7015328 0.2712190
## 10 2014 0.6895448 0.2644690
## 11 2015 0.7043566 0.2767552
## 12 2016 0.7114859 0.2856620
## 13 2017 0.7001837 0.2892313
## 14 2018 0.6989155 0.2885704
## 15 2019 0.7062778 0.2850208
## 16 2020 0.7128421 0.2891579aggregate(df1[ , 8:9], by = list(df1$year), FUN = mean)## Group.1 Generosity Perceptions.of.corruption
## 1 2005 0.0094814815 0.6628519
## 2 2006 0.0060561798 0.7047978
## 3 2007 0.0148333333 0.7610686
## 4 2008 0.0212909091 0.7432818
## 5 2009 -0.0053245614 0.7432982
## 6 2010 0.0033548387 0.7267016
## 7 2011 -0.0142397260 0.7138219
## 8 2012 -0.0019295775 0.7045775
## 9 2013 -0.0001532847 0.7244818
## 10 2014 0.0192827586 0.6925034
## 11 2015 0.0191398601 0.6850210
## 12 2016 0.0006760563 0.6888451
## 13 2017 -0.0064761905 0.6789796
## 14 2018 -0.0221126761 0.6923380
## 15 2019 -0.0189236111 0.6825069
## 16 2020 -0.0074210526 0.6630526aggregate(df1[ , 10:11], by = list(df1$ï..Country.name), FUN = mean)## Group.1 Positive.affect Negative.affect
## 1 Afghanistan 0.5486667 0.3265000
## 2 Albania 0.6538462 0.2992308
## 3 Algeria 0.5323750 0.2295000
## 4 Angola 0.6135000 0.3512500
## 5 Argentina 0.8334667 0.2840000
## 6 Armenia 0.5502143 0.4340714
## 7 Australia 0.8006429 0.2133571
## 8 Austria 0.7880769 0.1781538
## 9 Azerbaijan 0.5730000 0.2306429
## 10 Bahrain 0.6562727 0.3214545
## 11 Bangladesh 0.5800667 0.2675333
## 12 Belarus 0.5232857 0.2179286
## 13 Belgium 0.7847143 0.2414286
## 14 Belize 0.7570000 0.2665000
## 15 Benin 0.6168333 0.3376667
## 16 Bhutan 0.8160000 0.2843333
## 17 Bolivia 0.7676667 0.3935333
## 18 Bosnia and Herzegovina 0.5856154 0.3105385
## 19 Botswana 0.7102500 0.2304167
## 20 Brazil 0.7834667 0.3046000
## 21 Bulgaria 0.6154167 0.2225833
## 22 Burkina Faso 0.6176923 0.2980000
## 23 Burundi 0.6184000 0.2442000
## 24 Cambodia 0.7493333 0.3724667
## 25 Cameroon 0.6270667 0.3036000
## 26 Canada 0.8496000 0.2509333
## 27 Central African Republic 0.5616000 0.3914000
## 28 Chad 0.5670000 0.3469286
## 29 Chile 0.8170667 0.3094667
## 30 China 0.8211333 0.1637333
## 31 Colombia 0.8248667 0.2961333
## 32 Comoros 0.6938333 0.2338333
## 33 Congo (Brazzaville) 0.6011000 0.3400000
## 34 Congo (Kinshasa) 0.5845000 0.2675000
## 35 Costa Rica 0.8660714 0.2655714
## 36 Croatia 0.6146154 0.2903846
## 37 Cuba 0.6470000 0.2770000
## 38 Cyprus 0.7622308 0.3252308
## 39 Czech Republic 0.7083333 0.2399167
## 40 Denmark 0.8137333 0.1972000
## 41 Djibouti 0.4990000 0.1332500
## 42 Dominican Republic 0.7661333 0.2889333
## 43 Ecuador 0.8392667 0.3132667
## 44 Egypt 0.5873333 0.3564000
## 45 El Salvador 0.8410667 0.2930000
## 46 Estonia 0.7040000 0.1917857
## 47 Ethiopia 0.6732222 0.2505556
## 48 Finland 0.7742308 0.1864615
## 49 France 0.7697333 0.2536000
## 50 Gabon 0.5937778 0.3545556
## 51 Gambia 0.8050000 0.3523333
## 52 Georgia 0.5342667 0.2401333
## 53 Germany 0.7692000 0.2016667
## 54 Ghana 0.7150000 0.2274667
## 55 Greece 0.6665000 0.3095000
## 56 Guatemala 0.8451429 0.2864286
## 57 Guinea 0.6771111 0.3578889
## 58 Guyana 0.7680000 0.2960000
## 59 Haiti 0.5867273 0.3131818
## 60 Honduras 0.8260714 0.2632857
## 61 Hong Kong S.A.R. of China 0.6871818 0.2245455
## 62 Hungary 0.6863571 0.2455714
## 63 Iceland 0.8708750 0.1627500
## 64 India 0.6866667 0.3075333
## 65 Indonesia 0.8522857 0.2631429
## 66 Iran 0.6217692 0.4620769
## 67 Iraq 0.4840000 0.5135833
## 68 Ireland 0.8317857 0.2159286
## 69 Israel 0.6733333 0.3090000
## 70 Italy 0.6809333 0.3187333
## 71 Ivory Coast 0.6787778 0.3351111
## 72 Jamaica 0.7693333 0.2496667
## 73 Japan 0.7604667 0.1822000
## 74 Jordan 0.5210667 0.2421333
## 75 Kazakhstan 0.7030667 0.1616000
## 76 Kenya 0.7543333 0.2021333
## 77 Kosovo 0.6440000 0.1787857
## 78 Kuwait 0.6769091 0.2219091
## 79 Kyrgyzstan 0.7094000 0.1669333
## 80 Laos 0.8686667 0.2725556
## 81 Latvia 0.6190714 0.2244286
## 82 Lebanon 0.5192143 0.3263571
## 83 Lesotho 0.7515000 0.2420000
## 84 Liberia 0.6045556 0.3854444
## 85 Libya 0.7048333 0.3745000
## 86 Lithuania 0.5755333 0.2598667
## 87 Luxembourg 0.7747273 0.2017273
## 88 Madagascar 0.7127273 0.2462727
## 89 Malawi 0.6809167 0.2597500
## 90 Malaysia 0.8072500 0.2122500
## 91 Maldives 0.0000000 0.0000000
## 92 Mali 0.7423077 0.2287692
## 93 Malta 0.6934167 0.3550833
## 94 Mauritania 0.7400000 0.1977692
## 95 Mauritius 0.7754286 0.1907143
## 96 Mexico 0.8212667 0.2321333
## 97 Moldova 0.5968667 0.2776000
## 98 Mongolia 0.6573077 0.1862308
## 99 Montenegro 0.5826154 0.3680769
## 100 Morocco 0.5954000 0.2579000
## 101 Mozambique 0.6138750 0.3205000
## 102 Myanmar 0.7970000 0.2516667
## 103 Namibia 0.7233333 0.2366667
## 104 Nepal 0.6313571 0.2692143
## 105 Netherlands 0.8425000 0.2130000
## 106 New Zealand 0.8458571 0.1998571
## 107 Nicaragua 0.8060714 0.3132143
## 108 Niger 0.7065714 0.2335714
## 109 Nigeria 0.7508462 0.2330000
## 110 North Cyprus 0.6250000 0.3402857
## 111 North Macedonia 0.5940769 0.3242308
## 112 Norway 0.8296000 0.2003000
## 113 Oman 0.0000000 0.2950000
## 114 Pakistan 0.5757857 0.3298571
## 115 Palestinian Territories 0.5833571 0.3990714
## 116 Panama 0.8528571 0.2075000
## 117 Paraguay 0.8677692 0.2237692
## 118 Peru 0.7783571 0.3634286
## 119 Philippines 0.8149333 0.3190000
## 120 Poland 0.7421429 0.2354286
## 121 Portugal 0.6953846 0.3272308
## 122 Qatar 0.4410000 0.1816000
## 123 Romania 0.6459231 0.2982308
## 124 Russia 0.6398000 0.1771333
## 125 Rwanda 0.7259167 0.2236667
## 126 Saudi Arabia 0.7354000 0.2682000
## 127 Senegal 0.7375000 0.2204286
## 128 Serbia 0.5346154 0.3474615
## 129 Sierra Leone 0.5455000 0.3880833
## 130 Singapore 0.7157692 0.1634615
## 131 Slovakia 0.7151667 0.2675833
## 132 Slovenia 0.6430769 0.2826923
## 133 Somalia 0.8753333 0.1956667
## 134 Somaliland region 0.7680000 0.1172500
## 135 South Africa 0.7807333 0.2258000
## 136 South Korea 0.6617333 0.2266667
## 137 South Sudan 0.6002500 0.4860000
## 138 Spain 0.7135333 0.3153333
## 139 Sri Lanka 0.8100769 0.2163846
## 140 Sudan 0.6212000 0.2520000
## 141 Suriname 0.7640000 0.2500000
## 142 Swaziland 0.8076667 0.2610000
## 143 Sweden 0.8194000 0.1804000
## 144 Switzerland 0.8038000 0.1903000
## 145 Syria 0.5085714 0.4744286
## 146 Taiwan Province of China 0.8346923 0.1156154
## 147 Tajikistan 0.6645333 0.2032667
## 148 Tanzania 0.7238000 0.2076000
## 149 Thailand 0.8493333 0.1838667
## 150 Togo 0.5616667 0.4200000
## 151 Trinidad and Tobago 0.8400000 0.2162000
## 152 Tunisia 0.5146667 0.3080000
## 153 Turkey 0.5381333 0.3407333
## 154 Turkmenistan 0.6282000 0.1983000
## 155 Uganda 0.6778000 0.3262667
## 156 Ukraine 0.6010000 0.2233333
## 157 United Arab Emirates 0.6517692 0.2430000
## 158 United Kingdom 0.8054000 0.2234667
## 159 United States 0.8276000 0.2616667
## 160 Uruguay 0.8229333 0.2616667
## 161 Uzbekistan 0.7901538 0.1578462
## 162 Venezuela 0.8018000 0.2600667
## 163 Vietnam 0.5992857 0.1918571
## 164 Yemen 0.5305000 0.2935833
## 165 Zambia 0.7206429 0.2943571
## 166 Zimbabwe 0.7177333 0.2244000aggregate(df1[ , 8:9], by = list(df1$ï..Country.name), FUN = mean)## Group.1 Generosity Perceptions.of.corruption
## 1 Afghanistan 0.0700833333 0.84333333
## 2 Albania -0.0826923077 0.86938462
## 3 Algeria -0.1082500000 0.51825000
## 4 Angola -0.0882500000 0.86675000
## 5 Argentina -0.1598666667 0.84206667
## 6 Armenia -0.1996428571 0.84650000
## 7 Australia 0.2546428571 0.41550000
## 8 Austria 0.1304615385 0.57023077
## 9 Azerbaijan -0.1696428571 0.69835714
## 10 Bahrain 0.0455454545 0.25154545
## 11 Bangladesh -0.0328000000 0.74273333
## 12 Belarus -0.1689285714 0.67114286
## 13 Belgium -0.0249285714 0.61914286
## 14 Belize 0.0275000000 0.77550000
## 15 Benin -0.0585833333 0.78441667
## 16 Bhutan 0.2993333333 0.69533333
## 17 Bolivia -0.0514666667 0.82066667
## 18 Bosnia and Herzegovina 0.0453076923 0.94415385
## 19 Botswana -0.1936666667 0.78200000
## 20 Brazil -0.0672000000 0.72280000
## 21 Bulgaria -0.1450833333 0.94200000
## 22 Burkina Faso -0.0339230769 0.76238462
## 23 Burundi -0.0366000000 0.73240000
## 24 Cambodia 0.1640666667 0.79693333
## 25 Cameroon -0.0127333333 0.87880000
## 26 Canada 0.2178000000 0.41786667
## 27 Central African Republic 0.0270000000 0.84200000
## 28 Chad 0.0084285714 0.87050000
## 29 Chile 0.0903333333 0.77080000
## 30 China -0.1592666667 0.00000000
## 31 Colombia -0.0804666667 0.84773333
## 32 Comoros -0.0170000000 0.75300000
## 33 Congo (Brazzaville) -0.0952000000 0.70660000
## 34 Congo (Kinshasa) -0.0081250000 0.84550000
## 35 Costa Rica -0.0009285714 0.79407143
## 36 Croatia -0.1329230769 0.92792308
## 37 Cuba 0.0000000000 0.00000000
## 38 Cyprus 0.0524615385 0.84338462
## 39 Czech Republic -0.1356666667 0.90525000
## 40 Denmark 0.1595333333 0.20046667
## 41 Djibouti 0.0047500000 0.58150000
## 42 Dominican Republic -0.0571333333 0.75093333
## 43 Ecuador -0.1122000000 0.77000000
## 44 Egypt -0.1232000000 0.49626667
## 45 El Salvador -0.1189333333 0.74406667
## 46 Estonia -0.1717142857 0.66607143
## 47 Ethiopia 0.0511111111 0.64377778
## 48 Finland 0.0030769231 0.24900000
## 49 France -0.0918666667 0.63353333
## 50 Gabon -0.1973333333 0.82711111
## 51 Gambia 0.3203333333 0.68700000
## 52 Georgia -0.2441333333 0.53460000
## 53 Germany 0.0738000000 0.58393333
## 54 Ghana 0.0697333333 0.86146667
## 55 Greece -0.2610000000 0.88971429
## 56 Guatemala 0.0707142857 0.79564286
## 57 Guinea 0.0352222222 0.76733333
## 58 Guyana 0.1100000000 0.83600000
## 59 Haiti 0.3076363636 0.75209091
## 60 Honduras 0.0759285714 0.83642857
## 61 Hong Kong S.A.R. of China 0.1890909091 0.34881818
## 62 Hungary -0.1429285714 0.90585714
## 63 Iceland 0.2258750000 0.70100000
## 64 India 0.0178000000 0.82846667
## 65 Indonesia 0.3973571429 0.93142857
## 66 Iran 0.1034615385 0.71630769
## 67 Iraq -0.0540000000 0.80683333
## 68 Ireland 0.2401428571 0.46578571
## 69 Israel 0.1143333333 0.83753333
## 70 Italy -0.0108666667 0.90720000
## 71 Ivory Coast -0.0580000000 0.76700000
## 72 Jamaica -0.0595000000 0.90250000
## 73 Japan -0.1407333333 0.69673333
## 74 Jordan -0.1080666667 0.18546667
## 75 Kazakhstan -0.1435333333 0.79766667
## 76 Kenya 0.1484666667 0.86353333
## 77 Kosovo 0.1215714286 0.90900000
## 78 Kuwait -0.0329090909 0.18627273
## 79 Kyrgyzstan 0.0173333333 0.90306667
## 80 Laos 0.2711111111 0.56511111
## 81 Latvia -0.1290000000 0.86214286
## 82 Lebanon 0.0082142857 0.90978571
## 83 Lesotho -0.1155000000 0.80575000
## 84 Liberia 0.0081111111 0.85222222
## 85 Libya -0.0596666667 0.46600000
## 86 Lithuania -0.2426000000 0.91833333
## 87 Luxembourg 0.0443636364 0.37718182
## 88 Madagascar -0.0408181818 0.76036364
## 89 Malawi 0.1009166667 0.77633333
## 90 Malaysia 0.1110833333 0.82733333
## 91 Maldives 0.0240000000 0.00000000
## 92 Mali -0.0509230769 0.79992308
## 93 Malta 0.2853333333 0.38991667
## 94 Mauritania -0.0450000000 0.73146154
## 95 Mauritius 0.0614285714 0.82885714
## 96 Mexico -0.1162666667 0.73620000
## 97 Moldova -0.0887333333 0.93373333
## 98 Mongolia 0.1151538462 0.90292308
## 99 Montenegro -0.1036923077 0.78523077
## 100 Morocco -0.2165000000 0.81940000
## 101 Mozambique 0.0347500000 0.73525000
## 102 Myanmar 0.6188888889 0.64000000
## 103 Namibia -0.1535000000 0.83250000
## 104 Nepal 0.1352857143 0.85357143
## 105 Netherlands 0.2566428571 0.41492857
## 106 New Zealand 0.2564285714 0.26621429
## 107 Nicaragua 0.0441428571 0.73507143
## 108 Niger -0.0251428571 0.68335714
## 109 Nigeria 0.0649230769 0.89446154
## 110 North Cyprus 0.0000000000 0.69214286
## 111 North Macedonia -0.0033076923 0.87207692
## 112 Norway 0.1361000000 0.34420000
## 113 Oman 0.0250000000 0.00000000
## 114 Pakistan 0.1013571429 0.79850000
## 115 Palestinian Territories -0.0981428571 0.79485714
## 116 Panama -0.0343571429 0.85485714
## 117 Paraguay 0.0573076923 0.83115385
## 118 Peru -0.1032142857 0.88192857
## 119 Philippines -0.0184666667 0.78186667
## 120 Poland -0.0760714286 0.84435714
## 121 Portugal -0.1779230769 0.92115385
## 122 Qatar 0.1026000000 0.03680000
## 123 Romania -0.1387692308 0.95323077
## 124 Russia -0.2288000000 0.90633333
## 125 Rwanda 0.0113333333 0.18600000
## 126 Saudi Arabia -0.0889333333 0.09720000
## 127 Senegal -0.0587857143 0.82314286
## 128 Serbia -0.0810769231 0.89853846
## 129 Sierra Leone 0.0734166667 0.85533333
## 130 Singapore 0.0687692308 0.09030769
## 131 Slovakia -0.0800833333 0.91650000
## 132 Slovenia -0.0213846154 0.84215385
## 133 Somalia 0.0000000000 0.43566667
## 134 Somaliland region 0.0000000000 0.41875000
## 135 South Africa -0.1152666667 0.78673333
## 136 South Korea -0.0486000000 0.79886667
## 137 South Sudan 0.0000000000 0.74950000
## 138 Spain -0.0810000000 0.80073333
## 139 Sri Lanka 0.1802307692 0.81869231
## 140 Sudan -0.0212000000 0.72580000
## 141 Suriname -0.0770000000 0.75100000
## 142 Swaziland -0.1453333333 0.77766667
## 143 Sweden 0.1382000000 0.24520000
## 144 Switzerland 0.1064000000 0.30590000
## 145 Syria 0.1327142857 0.69614286
## 146 Taiwan Province of China 0.0006923077 0.79176923
## 147 Tajikistan -0.0085333333 0.67880000
## 148 Tanzania 0.1324000000 0.76773333
## 149 Thailand 0.3814666667 0.90946667
## 150 Togo -0.0307777778 0.80322222
## 151 Trinidad and Tobago 0.0898000000 0.92700000
## 152 Tunisia -0.1900000000 0.83633333
## 153 Turkey -0.1488666667 0.76793333
## 154 Turkmenistan 0.0463000000 0.00000000
## 155 Uganda 0.0478666667 0.84513333
## 156 Ukraine -0.1219333333 0.93260000
## 157 United Arab Emirates 0.0696153846 0.06900000
## 158 United Kingdom 0.2906666667 0.48113333
## 159 United States 0.1748000000 0.68833333
## 160 Uruguay -0.0864666667 0.58280000
## 161 Uzbekistan 0.0926923077 0.43538462
## 162 Venezuela -0.1204000000 0.79520000
## 163 Vietnam 0.0024285714 0.56050000
## 164 Yemen -0.1051666667 0.61850000
## 165 Zambia 0.0133571429 0.82885714
## 166 Zimbabwe -0.0830000000 0.84420000aggregate(cbind(df1$Log.GDP.per.capita, df1$Life.Ladder), data = df, by = list(df1$year), FUN = mean)## Group.1 V1 V2
## 1 2005 10.118667 6.446259
## 2 2006 8.942663 5.196899
## 3 2007 9.172951 5.418275
## 4 2008 9.167273 5.418509
## 5 2009 9.182544 5.457667
## 6 2010 9.318089 5.496806
## 7 2011 9.223240 5.424082
## 8 2012 9.258331 5.443754
## 9 2013 9.304818 5.394562
## 10 2014 9.177090 5.389021
## 11 2015 9.199238 5.404035
## 12 2016 9.204359 5.399479
## 13 2017 9.333109 5.460408
## 14 2018 9.009275 5.499444
## 15 2019 9.082153 5.570868
## 16 2020 9.032811 5.840600aggregate(cbind(df1$Social.support, df1$Healthy.life.expectancy.at.birth), data = df, by = list(df1$year), FUN = mean)## Group.1 V1 V2
## 1 2005 0.8974074 67.00741
## 2 2006 0.8358090 59.47169
## 3 2007 0.7919314 60.70424
## 4 2008 0.7843909 60.13632
## 5 2009 0.8118860 60.77632
## 6 2010 0.8050323 61.54316
## 7 2011 0.7973014 60.08157
## 8 2012 0.8090634 60.54585
## 9 2013 0.8065547 61.47753
## 10 2014 0.7889724 61.11333
## 11 2015 0.7926224 61.88423
## 12 2016 0.8118944 61.61144
## 13 2017 0.7996667 62.34628
## 14 2018 0.8123451 62.73692
## 15 2019 0.8167917 62.74683
## 16 2020 0.8389158 64.98063aggregate(df1$Life.Ladder ~ df1$year, data = df1, FUN = mean)## df1$year df1$Life.Ladder
## 1 2005 6.446259
## 2 2006 5.196899
## 3 2007 5.418275
## 4 2008 5.418509
## 5 2009 5.457667
## 6 2010 5.496806
## 7 2011 5.424082
## 8 2012 5.443754
## 9 2013 5.394562
## 10 2014 5.389021
## 11 2015 5.404035
## 12 2016 5.399479
## 13 2017 5.460408
## 14 2018 5.499444
## 15 2019 5.570868
## 16 2020 5.840600aggregate(df1$Positive.affect ~ df1$year, data = df1, FUN = mean)## df1$year df1$Positive.affect
## 1 2005 0.7208889
## 2 2006 0.7190899
## 3 2007 0.7022255
## 4 2008 0.6934000
## 5 2009 0.6999035
## 6 2010 0.6891774
## 7 2011 0.6967534
## 8 2012 0.7070000
## 9 2013 0.7015328
## 10 2014 0.6895448
## 11 2015 0.7043566
## 12 2016 0.7114859
## 13 2017 0.7001837
## 14 2018 0.6989155
## 15 2019 0.7062778
## 16 2020 0.7128421head(na.omit(df))## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 2 Afghanistan 2009 4.402 7.540 0.552
## 3 Afghanistan 2010 4.758 7.647 0.539
## 4 Afghanistan 2011 3.832 7.620 0.521
## 5 Afghanistan 2012 3.783 7.705 0.521
## 6 Afghanistan 2013 3.572 7.725 0.484
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 2 51.20 0.679 0.190
## 3 51.60 0.600 0.121
## 4 51.92 0.496 0.162
## 5 52.24 0.531 0.236
## 6 52.56 0.578 0.061
## Perceptions.of.corruption Positive.affect Negative.affect
## 1 0.882 0.518 0.258
## 2 0.850 0.584 0.237
## 3 0.707 0.618 0.275
## 4 0.731 0.611 0.267
## 5 0.776 0.710 0.268
## 6 0.823 0.621 0.273objects(df)## [1] "Freedom.to.make.life.choices" "Generosity"
## [3] "Healthy.life.expectancy.at.birth" "ï..Country.name"
## [5] "Life.Ladder" "Log.GDP.per.capita"
## [7] "Negative.affect" "Perceptions.of.corruption"
## [9] "Positive.affect" "Social.support"
## [11] "year"ls(df)## [1] "Freedom.to.make.life.choices" "Generosity"
## [3] "Healthy.life.expectancy.at.birth" "ï..Country.name"
## [5] "Life.Ladder" "Log.GDP.per.capita"
## [7] "Negative.affect" "Perceptions.of.corruption"
## [9] "Positive.affect" "Social.support"
## [11] "year"dflm = lm(Life.Ladder ~ year, data = df)
dflm##
## Call:
## lm(formula = Life.Ladder ~ year, data = df)
##
## Coefficients:
## (Intercept) year
## -13.67816 0.00951dflm1 = lm(Positive.affect ~ year, data = df)
dflm1##
## Call:
## lm(formula = Positive.affect ~ year, data = df)
##
## Coefficients:
## (Intercept) year
## 8.779e-01 -8.338e-05cor.test(~ df1$Life.Ladder + df1$Log.GDP.per.capita, data = df1)##
## Pearson's product-moment correlation
##
## data: df1$Life.Ladder and df1$Log.GDP.per.capita
## t = 29.995, df = 1947, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.5310430 0.5918163
## sample estimates:
## cor
## 0.5621881cor.test(~ df1$Negative.affect + df1$Positive.affect, data = df1)##
## Pearson's product-moment correlation
##
## data: df1$Negative.affect and df1$Positive.affect
## t = -8.3498, df = 1947, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.2284460 -0.1427084
## sample estimates:
## cor
## -0.1859311coef(dflm)## (Intercept) year
## -13.678156900 0.009509592coef(dflm1)## (Intercept) year
## 0.8778721067 -0.0000833832confint(dflm)## 2.5 % 97.5 %
## (Intercept) -37.622249296 10.26593550
## year -0.002383837 0.02140302confint(dflm1)## 2.5 % 97.5 %
## (Intercept) -1.434737999 3.190482212
## year -0.001232091 0.001065325head(fitted(dflm))## 1 2 3 4 5 6
## 5.417103 5.426613 5.436123 5.445632 5.455142 5.464651head(fitted(dflm1))## 1 2 3 4 5 6
## 0.7104386 0.7103553 0.7102719 0.7101885 0.7101051 0.7100217head(residuals(dflm))## 1 2 3 4 5 6
## -1.6931034 -1.0246130 -0.6781226 -1.6136322 -1.6721417 -1.8926513head(residuals(dflm1))## 1 2 3 4 5
## -0.1924386362 -0.1263552530 -0.0922718698 -0.0991884866 -0.0001051034
## 6
## -0.0890217202formula(dflm)## Life.Ladder ~ yearformula(dflm1)## Positive.affect ~ yeardflm$call## lm(formula = Life.Ladder ~ year, data = df)dflm1$call## lm(formula = Positive.affect ~ year, data = df)formula(df1)## ï..Country.name ~ year + Life.Ladder + Log.GDP.per.capita + Social.support +
## Healthy.life.expectancy.at.birth + Freedom.to.make.life.choices +
## Generosity + Perceptions.of.corruption + Positive.affect +
## Negative.affectdf.m = apply(df1[,10:11], 2, mean)
df.m## Positive.affect Negative.affect
## 0.7019887 0.2663397df.m1 = apply(df1[,4:5], 2, mean)
df.m1## Log.GDP.per.capita Social.support
## 9.1954079 0.8071324df.sd = apply(df1[ , 10:11], 2, sd)
df.sd## Positive.affect Negative.affect
## 0.13026803 0.08821274df.sd1 = apply(df1[ , 3:4], 2, sd)
df.sd1## Life.Ladder Log.GDP.per.capita
## 1.115711 1.702742df.s = apply(df1[,10:11], 2, sum)
df.s## Positive.affect Negative.affect
## 1368.176 519.096df.s1 = apply(df1[,5:6], 2, sum)
df.s1## Social.support Healthy.life.expectancy.at.birth
## 1573.101 120002.654df.1 = df.s/df.m
df.1## Positive.affect Negative.affect
## 1949 1949df.2 = df.s1/df.m1
df.2## Social.support Healthy.life.expectancy.at.birth
## 171.0746 148677.7852df.se = df.sd / sqrt(df.1)
df.se## Positive.affect Negative.affect
## 0.002950747 0.001998138df.se1 = df.sd1 / sqrt(df.2)
df.se1## Life.Ladder Log.GDP.per.capita
## 0.085301902 0.004415967df.m + df.se## Positive.affect Negative.affect
## 0.7049395 0.2683378df.m1 + df.se1## Log.GDP.per.capita Social.support
## 9.2807098 0.8115483max(df.m + df.se)## [1] 0.7049395max(df.m1 + df.se1)## [1] 9.28071df.max = round(max(df.m + df.se) + 0.5, 0)
df.max## [1] 1df.max1 = round(max(df.m1 + df.se1) + 0.5, 0)
df.max1## [1] 10bp = barplot(df.m, ylim = c(0, df.max))
bp1 = barplot(df.m1, ylim = c(0, df.max1))
bp## [,1]
## [1,] 0.7
## [2,] 1.9bp1## [,1]
## [1,] 0.7
## [2,] 1.9bp = barplot(df.m, ylim = c(0, df.max))
segments(bp, df.m + df.se, bp, df.m - df.se)
segments(bp - 0.2, df.m - df.se, bp + 0.2, df.m - df.se)
box()
title(xlab = 'Features', ylab = 'Values')
bp1 = barplot(df.m1, ylim = c(0, df.max1))
segments(bp1, df.m1 + df.se1, bp1, df.m1 - df.se1)
segments(bp1 - 0.2, df.m1 - df.se1, bp1 + 0.2, df.m1 - df.se1)
box()
title(xlab = 'Features', ylab = 'Values')
plot(1:10, 1:10, type = 'n')
opt = par(cex = 1.5)
text(1, 1, expression(hat(x)))
text(2, 2, expression(alpha==x))
text(3, 3, expression(beta==y))
text(4, 4, expression(frac(x, y)))
text(5, 5, expression(sum(x)))
text(6, 6, expression(sum(x^2)))
text(7, 7, expression(bar(x) == sum(frac(x[i], n), i==1, n)))
text(8, 8, expression(sqrt(x)))
text(9, 9, expression(sqrt(x, 3)))
plot(temp$Positive.affect ~ temp$Negative.affect, data = temp, pch = 21, ylab = 'Positive.affect', xlab = 'Negative.affect')
points(temp$Positive.affect ~ temp$Negative.affect, data = temp, pch = 19)
legend(x = 'topright', legend = c('Positive.affect', 'Negative.affect'), pch = c(21,19), bty =
'n')
curve(sin, -pi*2, pi*2, lty = 2, lwd = 1.5, ylab = 'Function', ylim = c(-1,1.5))
curve(cos, -pi*2, pi*2, lty = 3, lwd = 1, add = TRUE)
legend(x = 'topright', legend = c('Sine', 'Cosine'), lty = c(2, 3),
lwd = c(1.5, 1), bty = 'n')
title(main = 'Sine and Cosine functions')
plot(temp$Positive.affect ~ temp$Negative.affect, data = df1, main = 'plot 1')
plot(temp$Life.Ladder ~ temp$Log.GDP.per.capita, data = df1, main = 'plot 2')
plot(temp$Generosity ~ temp$Social.support, data = df1, main = 'plot 3')
par(opt)
plot(temp2$Positive.affect ~ temp2$Negative.affect, data = df1, main = 'plot 4')
plot(temp4$Life.Ladder ~ temp4$Generosity, data = df1, main = 'plot 5')
plot.new()
plot.new()
plot(temp$Social.support ~ temp$Life.Ladder, data = df1, main = 'plot 6')
cummeadian = function(x) {
tmp = seq_along(x)
for(i in 1:length(tmp)) tmp[i] = median(x[1:i])
print(x)}
cummeadian(temp$Life.Ladder)## [1] 5.348 5.027 5.146 4.522 4.989 4.635 4.720 4.428 4.424 4.342 4.179 4.046
## [13] 3.818 3.249 4.225cummeadian1 = function(x) {
tmp = seq_along(x)
for(i in 1:length(tmp)) tmp[i] = median(x[1:i])
print(x)}
cummeadian(temp1$Positive.affect)## [1] 0.687 0.668 0.674 0.771 0.697 0.648 0.629 0.680 0.711 0.701 0.695 0.682
## [13] 0.657 0.648 0.752log2 = function(x) log(x, base = 2)
log2## function(x) log(x, base = 2)log2(temp$Life.Ladder)## [1] 2.418999 2.329698 2.363451 2.176961 2.318751 2.212569 2.238787 2.146655
## [9] 2.145351 2.118360 2.063158 2.016496 1.932817 1.699996 2.078951log2(temp1$Positive.affect)## [1] -0.5416180 -0.5820800 -0.5691795 -0.3751972 -0.5207694 -0.6259343
## [7] -0.6688681 -0.5563933 -0.4920785 -0.5125137 -0.5249151 -0.5521564
## [13] -0.6060347 -0.6259343 -0.4111954manning = function(radius, gradient, coef=0.1125) (radius^(2/3)*gradient^0.5/coef)
manning(radius = 1, gradient = 1/500)## [1] 0.3975232nlevels(df)## [1] 0df[c(1,3,5,7),]## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 3 Afghanistan 2010 4.758 7.647 0.539
## 5 Afghanistan 2012 3.783 7.705 0.521
## 7 Afghanistan 2014 3.131 7.718 0.526
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 3 51.60 0.600 0.121
## 5 52.24 0.531 0.236
## 7 52.88 0.509 0.104
## Perceptions.of.corruption Positive.affect Negative.affect
## 1 0.882 0.518 0.258
## 3 0.707 0.618 0.275
## 5 0.776 0.710 0.268
## 7 0.871 0.532 0.375df[c(1,3,5,7), 'year']## [1] 2008 2010 2012 2014df[c(1,145,67,56), 'ï..Country.name']## [1] "Afghanistan" "Belarus" "Australia" "Armenia"library(dplyr)
df %>% arrange(Positive.affect, Negative.affect)## ï..Country.name year Life.Ladder Log.GDP.per.capita
## 1 Lebanon 2019 4.024 9.597
## 2 Afghanistan 2019 2.375 7.697
## 3 Togo 2008 2.808 7.052
## 4 Syria 2015 3.462 8.442
## 5 Turkey 2020 4.862 10.219
## 6 Syria 2013 2.688 8.396
## 7 Tunisia 2017 4.124 9.269
## 8 Turkey 2019 4.872 10.246
## 9 Iraq 2012 4.660 9.246
## 10 Afghanistan 2018 2.694 7.692
## 11 Georgia 2007 3.707 9.117
## 12 Georgia 2006 3.675 8.993
## 13 Turkey 2018 5.186 10.251
## 14 Burundi 2008 3.563 6.719
## 15 Georgia 2008 4.156 9.144
## 16 Sierra Leone 2011 4.502 7.292
## 17 Belarus 2018 5.234 9.846
## 18 Turkey 2017 5.607 10.238
## 19 Yemen 2017 3.254 7.578
## 20 Turkey 2015 5.514 10.166
## 21 Yemen 2018 3.058 NA
## 22 Chad 2013 3.508 7.498
## 23 Lebanon 2018 5.167 9.656
## 24 Syria 2012 3.164 8.563
## 25 Turkey 2016 5.326 10.181
## 26 Yemen 2016 3.826 7.715
## 27 Gabon 2012 3.972 9.621
## 28 Lithuania 2010 5.066 10.085
## 29 Armenia 2011 4.260 9.182
## 30 North Cyprus 2018 5.608 NA
## 31 Togo 2011 2.936 7.146
## 32 Singapore 2011 6.561 11.307
## 33 Turkey 2014 5.580 10.124
## 34 Iraq 2011 4.725 9.152
## 35 Iraq 2016 4.413 9.354
## 36 Iraq 2015 4.493 9.241
## 37 Congo (Kinshasa) 2009 3.984 6.728
## 38 Georgia 2009 3.801 9.116
## 39 Egypt 2018 4.005 9.338
## 40 North Cyprus 2019 5.467 NA
## 41 Armenia 2006 4.289 9.044
## 42 Serbia 2015 5.318 9.649
## 43 Afghanistan 2017 2.662 7.697
## 44 Palestinian Territories 2006 4.716 8.213
## 45 Serbia 2014 5.113 9.627
## 46 Lebanon 2012 4.573 9.800
## 47 Lebanon 2013 4.983 9.772
## 48 Singapore 2009 6.145 11.149
## 49 Georgia 2010 4.102 9.184
## 50 Yemen 2012 4.061 8.236
## 51 North Macedonia 2017 5.234 9.650
## 52 Yemen 2011 3.746 8.336
## 53 Tunisia 2014 4.764 9.260
## 54 Sierra Leone 2006 3.628 7.136
## 55 Liberia 2015 2.702 7.365
## 56 Iraq 2017 4.462 9.303
## 57 Yemen 2015 2.983 7.858
## 58 Armenia 2007 4.882 9.181
## 59 Serbia 2019 6.241 9.808
## 60 Turkmenistan 2019 5.474 9.651
## 61 Madagascar 2011 4.381 7.336
## 62 Gabon 2013 3.800 9.638
## 63 Serbia 2017 5.122 9.713
## 64 Armenia 2010 4.368 9.136
## 65 Azerbaijan 2006 4.728 9.170
## 66 Ukraine 2010 5.058 9.374
## 67 Sierra Leone 2019 3.447 7.449
## 68 Sierra Leone 2010 4.134 7.254
## 69 Serbia 2012 5.155 9.605
## 70 Lebanon 2017 5.154 9.681
## 71 Georgia 2011 4.203 9.263
## 72 Lithuania 2018 6.309 10.474
## 73 Tunisia 2013 5.246 9.240
## 74 Egypt 2019 4.328 9.373
## 75 Bosnia and Herzegovina 2010 4.669 9.312
## 76 Afghanistan 2008 3.724 7.370
## 77 Armenia 2012 4.320 9.249
## 78 Montenegro 2017 5.615 9.885
## 79 Belarus 2011 5.225 9.812
## 80 Azerbaijan 2007 4.568 9.386
## 81 Tunisia 2012 4.464 9.222
## 82 Turkmenistan 2017 5.229 9.561
## 83 Armenia 2008 4.652 9.256
## 84 Sierra Leone 2013 4.514 7.577
## 85 Belarus 2012 5.749 9.830
## 86 Central African Republic 2010 3.568 7.091
## 87 Burkina Faso 2008 3.846 7.403
## 88 Iraq 2009 4.775 9.076
## 89 Central African Republic 2011 3.678 7.125
## 90 Latvia 2009 4.669 9.975
## 91 Lebanon 2010 5.032 9.878
## 92 Iraq 2008 4.590 9.063
## 93 Lithuania 2009 5.467 10.050
## 94 Azerbaijan 2010 4.219 9.569
## 95 Chad 2012 4.033 7.476
## 96 Lebanon 2008 4.595 9.743
## 97 Egypt 2012 4.204 9.240
## 98 Lebanon 2009 5.206 9.830
## 99 Egypt 2011 4.174 9.240
## 100 Serbia 2013 5.102 9.638
## 101 Bosnia and Herzegovina 2014 5.249 9.411
## 102 Vietnam 2011 5.767 8.585
## 103 Afghanistan 2014 3.131 7.718
## 104 Serbia 2010 4.461 9.579
## 105 Lithuania 2008 5.554 10.199
## 106 Bulgaria 2011 3.875 9.795
## 107 Bosnia and Herzegovina 2015 5.117 9.457
## 108 Sierra Leone 2008 2.997 7.215
## 109 Serbia 2016 5.753 9.688
## 110 Vietnam 2016 5.062 8.820
## 111 Azerbaijan 2011 4.680 9.540
## 112 Chad 2014 3.460 7.532
## 113 Nepal 2019 5.449 8.136
## 114 Malawi 2019 3.869 6.966
## 115 Bangladesh 2019 5.114 8.467
## 116 Nepal 2018 4.910 8.087
## 117 Haiti 2013 4.622 7.464
## 118 Gabon 2014 3.918 9.644
## 119 Montenegro 2013 5.074 9.760
## 120 Egypt 2017 3.929 9.307
## 121 Tunisia 2019 4.315 9.283
## 122 Belarus 2017 5.553 9.814
## 123 Sudan 2014 4.139 8.317
## 124 Bangladesh 2018 4.499 8.399
## 125 Iraq 2010 5.065 9.112
## 126 Yemen 2019 4.197 NA
## 127 Romania 2011 5.023 9.940
## 128 Egypt 2014 4.885 9.245
## 129 Nepal 2015 4.812 7.976
## 130 Armenia 2009 4.178 9.111
## 131 Liberia 2014 4.571 7.391
## 132 Azerbaijan 2009 4.574 9.534
## 133 Bosnia and Herzegovina 2013 5.124 9.382
## 134 Serbia 2009 4.380 9.568
## 135 Palestinian Territories 2009 4.470 8.329
## 136 Bahrain 2011 4.824 10.696
## 137 Chad 2010 3.743 7.457
## 138 Burkina Faso 2012 3.955 7.520
## 139 Serbia 2011 4.815 9.607
## 140 Bulgaria 2010 3.912 9.765
## 141 Georgia 2015 4.122 9.442
## 142 Romania 2009 5.368 9.949
## 143 Lebanon 2006 4.653 9.568
## 144 Bosnia and Herzegovina 2012 4.773 9.342
## 145 Algeria 2011 5.317 9.297
## 146 Croatia 2019 5.626 10.258
## 147 Congo (Kinshasa) 2017 4.311 6.966
## 148 Egypt 2013 3.559 9.239
## 149 Sierra Leone 2018 4.306 7.417
## 150 Albania 2007 4.634 9.142
## 151 Lebanon 2016 5.271 9.687
## 152 Haiti 2016 3.352 7.477
## 153 Iran 2018 4.278 NA
## 154 Chad 2018 4.486 7.363
## 155 Belarus 2016 5.178 9.788
## 156 Azerbaijan 2012 4.911 9.549
## 157 Afghanistan 2015 3.983 7.702
## 158 Haiti 2010 3.766 7.384
## 159 Romania 2012 5.167 9.965
## 160 Chad 2009 3.639 7.364
## 161 Turkey 2005 4.719 9.809
## 162 Syria 2010 4.465 8.729
## 163 Yemen 2013 4.218 8.242
## 164 Angola 2012 4.360 8.992
## 165 Georgia 2012 4.254 9.332
## 166 Lebanon 2014 5.233 9.739
## 167 Serbia 2018 5.936 9.762
## 168 Congo (Kinshasa) 2014 4.414 6.937
## 169 Morocco 2017 5.312 8.898
## 170 Latvia 2012 5.125 10.082
## 171 Bangladesh 2016 4.556 8.274
## 172 Moldova 2009 5.554 8.984
## 173 Armenia 2013 4.277 9.277
## 174 Latvia 2011 4.967 10.029
## 175 Georgia 2016 4.448 9.470
## 176 Congo (Brazzaville) 2012 3.919 8.192
## 177 Mozambique 2015 4.550 7.141
## 178 Jordan 2012 5.132 9.261
## 179 Afghanistan 2016 4.220 7.697
## 180 Palestinian Territories 2014 4.722 8.457
## 181 Russia 2009 5.158 10.044
## 182 Tajikistan 2006 4.613 7.554
## 183 Belarus 2009 5.564 9.681
## 184 Lithuania 2019 6.064 10.518
## 185 Palestinian Territories 2007 4.151 8.218
## 186 Belarus 2010 5.526 9.758
## 187 Egypt 2010 4.669 9.244
## 188 North Macedonia 2010 4.180 9.496
## 189 Pakistan 2018 5.472 8.464
## 190 Palestinian Territories 2011 4.751 8.474
## 191 Lebanon 2015 5.172 9.699
## 192 Moldova 2011 5.792 9.111
## 193 Moldova 2012 5.996 9.105
## 194 Central African Republic 2007 4.160 6.987
## 195 Bangladesh 2017 4.310 8.334
## 196 Chad 2008 4.632 7.356
## 197 Ukraine 2012 5.030 9.436
## 198 Georgia 2014 4.288 9.414
## 199 Nepal 2009 4.917 7.723
## 200 Lithuania 2011 5.432 10.167
## 201 Sierra Leone 2014 4.500 7.600
## 202 Mongolia 2007 4.609 8.833
## 203 Moldova 2007 4.775 8.968
## 204 Nepal 2017 4.737 8.039
## 205 Palestinian Territories 2008 4.386 8.276
## 206 Bosnia and Herzegovina 2009 4.963 9.296
## 207 Ukraine 2008 5.172 9.488
## 208 Bulgaria 2012 4.222 9.804
## 209 Georgia 2018 4.659 9.565
## 210 Congo (Brazzaville) 2008 3.820 8.082
## 211 Tunisia 2015 5.132 9.261
## 212 Haiti 2017 3.824 7.475
## 213 Ukraine 2015 3.965 9.327
## 214 Syria 2009 4.979 8.654
## 215 Montenegro 2012 5.219 9.726
## 216 Iraq 2014 4.542 9.250
## 217 Latvia 2019 5.970 10.336
## 218 Pakistan 2015 4.823 8.361
## 219 Sudan 2012 4.550 8.296
## 220 North Macedonia 2019 5.015 9.711
## 221 Serbia 2007 4.750 9.532
## 222 North Macedonia 2009 4.428 9.464
## 223 Azerbaijan 2008 4.817 9.465
## 224 Lebanon 2011 5.188 9.838
## 225 North Macedonia 2013 5.186 9.541
## 226 Iran 2011 4.768 9.547
## 227 Djibouti 2011 4.369 7.880
## 228 Burkina Faso 2011 4.785 7.487
## 229 Montenegro 2007 5.196 9.693
## 230 Burkina Faso 2015 4.419 7.568
## 231 Angola 2014 3.795 9.017
## 232 Central African Republic 2016 2.693 6.785
## 233 Chad 2006 3.435 7.360
## 234 Montenegro 2015 5.125 9.810
## 235 Georgia 2017 4.451 9.517
## 236 Moldova 2017 5.326 9.363
## 237 Lithuania 2012 5.771 10.218
## 238 Lithuania 2013 5.596 10.263
## 239 Greece 2012 5.096 10.268
## 240 Armenia 2014 4.453 9.307
## 241 Pakistan 2019 4.443 8.453
## 242 Armenia 2018 5.062 9.451
## 243 Moldova 2013 5.756 9.192
## 244 Moldova 2018 5.682 9.423
## 245 Croatia 2018 5.536 10.224
## 246 Sierra Leone 2007 3.585 7.187
## 247 Yemen 2010 4.350 8.453
## 248 Bangladesh 2020 5.280 8.472
## 249 Chad 2016 4.029 7.431
## 250 Iran 2020 4.865 NA
## 251 Ukraine 2009 5.166 9.332
## 252 Vietnam 2009 5.304 8.483
## 253 Benin 2012 3.193 7.923
## 254 Moldova 2014 5.917 9.241
## 255 Yemen 2009 4.809 8.278
## 256 Togo 2014 2.839 7.247
## 257 Turkmenistan 2012 5.464 9.269
## 258 Belarus 2015 5.719 9.815
## 259 Afghanistan 2009 4.402 7.540
## 260 Moldova 2010 5.590 9.054
## 261 Moldova 2008 5.503 9.045
## 262 Lebanon 2005 5.491 9.565
## 263 Benin 2008 3.667 7.915
## 264 Haiti 2018 3.615 7.477
## 265 Sierra Leone 2016 4.733 7.384
## 266 Latvia 2018 5.901 10.307
## 267 Algeria 2019 4.745 9.337
## 268 Liberia 2008 4.221 7.223
## 269 Pakistan 2014 5.436 8.336
## 270 Burkina Faso 2017 4.647 7.627
## 271 Tunisia 2020 4.731 9.231
## 272 Mongolia 2008 4.493 8.904
## 273 Sudan 2011 4.314 8.204
## 274 Pakistan 2017 5.831 8.428
## 275 Croatia 2007 5.821 10.162
## 276 Malawi 2018 3.335 6.949
## 277 South Sudan 2015 4.071 NA
## 278 South Sudan 2017 2.817 NA
## 279 Morocco 2020 4.803 8.871
## 280 Benin 2006 3.330 7.866
## 281 Montenegro 2014 5.283 9.777
## 282 Mozambique 2019 4.932 7.155
## 283 Chad 2019 4.251 7.365
## 284 Vietnam 2007 5.422 8.394
## 285 Tunisia 2011 4.876 9.192
## 286 North Macedonia 2011 4.898 9.518
## 287 Congo (Brazzaville) 2018 5.490 8.136
## 288 Russia 2010 5.385 10.087
## 289 Congo (Kinshasa) 2013 4.497 6.880
## 290 Ukraine 2016 4.029 9.353
## 291 Lithuania 2007 5.808 10.163
## 292 Congo (Kinshasa) 2015 3.903 6.971
## 293 Bahrain 2012 5.027 10.716
## 294 Morocco 2019 5.057 8.925
## 295 Burkina Faso 2010 4.036 7.453
## 296 Ukraine 2011 5.083 9.431
## 297 Uganda 2006 3.734 7.370
## 298 Benin 2014 3.347 7.998
## 299 Moldova 2015 6.017 9.246
## 300 Croatia 2013 5.885 10.069
## 301 North Macedonia 2018 5.240 9.677
## 302 Montenegro 2018 5.650 9.934
## 303 Togo 2019 4.179 7.375
## 304 Belarus 2019 5.821 9.860
## 305 Gabon 2011 4.255 9.608
## 306 Chad 2011 4.393 7.425
## 307 Algeria 2018 5.043 9.348
## 308 Greece 2011 5.372 10.339
## 309 Montenegro 2016 5.304 9.839
## 310 Montenegro 2019 5.386 9.970
## 311 Azerbaijan 2017 5.152 9.555
## 312 Mozambique 2011 4.971 6.979
## 313 Tunisia 2018 4.741 9.284
## 314 Benin 2015 3.625 7.988
## 315 Yemen 2007 4.477 8.214
## 316 Azerbaijan 2018 5.168 9.562
## 317 Cameroon 2009 4.741 8.029
## 318 Haiti 2012 4.413 7.437
## 319 Haiti 2014 3.889 7.477
## 320 Palestinian Territories 2016 4.907 8.498
## 321 Russia 2008 5.619 10.125
## 322 Bulgaria 2007 3.844 9.715
## 323 Ukraine 2014 4.297 9.426
## 324 Lithuania 2016 5.866 10.373
## 325 Palestinian Territories 2013 4.844 8.489
## 326 Palestinian Territories 2015 4.695 8.480
## 327 Armenia 2016 4.325 9.333
## 328 Armenia 2015 4.348 9.334
## 329 Georgia 2013 4.349 9.371
## 330 Liberia 2010 4.196 7.258
## 331 Lithuania 2015 5.711 10.335
## 332 Congo (Brazzaville) 2014 4.056 8.242
## 333 Montenegro 2010 5.455 9.724
## 334 Kosovo 2012 5.640 9.086
## 335 Belarus 2007 5.617 9.576
## 336 Italy 2010 6.354 10.666
## 337 Croatia 2014 5.381 10.072
## 338 Bosnia and Herzegovina 2011 4.995 9.333
## 339 Romania 2010 4.909 9.915
## 340 Estonia 2008 5.452 10.298
## 341 Ukraine 2017 4.311 9.382
## 342 Bosnia and Herzegovina 2017 5.090 9.532
## 343 Palestinian Territories 2017 4.628 8.485
## 344 Kosovo 2009 5.891 9.008
## 345 Azerbaijan 2016 5.304 9.564
## 346 Azerbaijan 2014 5.252 9.607
## 347 Estonia 2009 5.138 10.144
## 348 Cameroon 2011 4.434 8.048
## 349 Croatia 2011 5.385 10.091
## 350 Pakistan 2013 5.138 8.311
## 351 Turkey 2009 5.213 9.838
## 352 Armenia 2019 5.488 9.522
## 353 Turkmenistan 2013 5.392 9.348
## 354 Hong Kong S.A.R. of China 2019 5.659 11.000
## 355 Congo (Brazzaville) 2017 4.884 8.146
## 356 Togo 2015 3.768 7.277
## 357 Egypt 2020 4.472 9.383
## 358 Syria 2011 4.038 8.727
## 359 Cameroon 2008 4.292 8.034
## 360 Bangladesh 2006 4.319 7.783
## 361 Guinea 2013 3.902 7.619
## 362 Iran 2019 5.006 NA
## 363 Sierra Leone 2017 4.090 7.404
## 364 Russia 2011 5.389 10.129
## 365 Czech Republic 2011 6.331 10.435
## 366 Malta 2020 6.157 NA
## 367 Singapore 2010 6.531 11.267
## 368 Niger 2012 3.798 6.987
## 369 North Macedonia 2007 4.494 9.416
## 370 Tajikistan 2017 5.829 8.036
## 371 Malawi 2016 3.476 6.932
## 372 Greece 2017 5.148 10.278
## 373 Serbia 2020 6.042 9.788
## 374 Montenegro 2011 5.223 9.755
## 375 Montenegro 2020 5.722 9.913
## 376 Ivory Coast 2009 4.197 8.209
## 377 Algeria 2012 5.605 9.311
## 378 Georgia 2019 4.892 9.617
## 379 Israel 2014 7.401 10.533
## 380 Togo 2016 3.879 7.306
## 381 Tajikistan 2009 4.575 7.682
## 382 Belarus 2006 5.658 9.489
## 383 North Macedonia 2020 5.054 9.690
## 384 Iraq 2018 4.886 9.274
## 385 Tajikistan 2008 5.064 7.665
## 386 Congo (Brazzaville) 2015 4.691 8.243
## 387 Cameroon 2006 3.851 8.007
## 388 Cameroon 2010 4.554 8.035
## 389 Kyrgyzstan 2009 5.069 8.345
## 390 Azerbaijan 2015 5.147 9.606
## 391 Croatia 2010 5.596 10.091
## 392 Albania 2012 5.510 9.347
## 393 Chad 2015 4.323 7.527
## 394 Lithuania 2017 6.273 10.429
## 395 Latvia 2015 5.881 10.185
## 396 Haiti 2008 3.846 7.417
## 397 Togo 2018 4.023 7.348
## 398 Benin 2016 4.007 7.993
## 399 Iran 2005 5.308 9.393
## 400 Belarus 2013 5.876 9.839
## 401 Hong Kong S.A.R. of China 2020 5.295 NA
## 402 Ukraine 2018 4.662 9.420
## 403 Czech Republic 2012 6.334 10.426
## 404 Croatia 2015 5.205 10.104
## 405 Ethiopia 2017 4.180 7.612
## 406 Benin 2020 4.408 8.102
## 407 Malawi 2017 3.417 6.945
## 408 Syria 2008 5.323 8.652
## 409 Iran 2012 4.609 9.458
## 410 Congo (Brazzaville) 2013 3.955 8.201
## 411 Congo (Brazzaville) 2016 4.119 8.190
## 412 Slovenia 2020 6.462 10.478
## 413 Egypt 2015 4.763 9.266
## 414 Palestinian Territories 2018 4.554 NA
## 415 Russia 2012 5.621 10.166
## 416 Russia 2006 4.964 9.991
## 417 Afghanistan 2011 3.832 7.620
## 418 Yemen 2014 3.968 8.117
## 419 Georgia 2020 5.123 9.569
## 420 Egypt 2016 4.557 9.287
## 421 Turkmenistan 2018 4.621 9.605
## 422 Comoros 2012 3.956 7.988
## 423 Jordan 2011 5.539 9.289
## 424 Tunisia 2016 4.521 9.262
## 425 Bosnia and Herzegovina 2007 4.900 9.267
## 426 Haiti 2006 3.754 7.407
## 427 Liberia 2007 3.701 7.196
## 428 Bulgaria 2017 5.097 9.969
## 429 Madagascar 2008 4.640 7.439
## 430 Chad 2007 4.141 7.359
## 431 Burkina Faso 2014 3.481 7.559
## 432 Nepal 2014 4.975 7.948
## 433 Croatia 2016 5.417 10.146
## 434 Turkey 2008 5.118 9.899
## 435 Togo 2017 4.361 7.324
## 436 South Sudan 2014 3.832 NA
## 437 Central African Republic 2017 3.476 6.817
## 438 Vietnam 2012 5.535 8.626
## 439 Slovenia 2017 6.167 10.509
## 440 Togo 2006 3.202 7.078
## 441 Benin 2017 4.853 8.021
## 442 South Sudan 2016 2.888 NA
## 443 Burkina Faso 2016 4.206 7.596
## 444 Palestinian Territories 2012 4.647 8.531
## 445 Congo (Kinshasa) 2011 4.517 6.797
## 446 Afghanistan 2010 4.758 7.647
## 447 Cameroon 2012 4.245 8.065
## 448 Iran 2014 4.682 9.476
## 449 Tanzania 2015 3.661 7.764
## 450 Belarus 2014 5.812 9.856
## 451 Azerbaijan 2013 5.481 9.592
## 452 Bangladesh 2013 4.660 8.116
## 453 Moldova 2006 5.102 8.936
## 454 Lithuania 2014 6.126 10.306
## 455 Haiti 2015 3.570 7.476
## 456 Slovenia 2014 5.678 10.412
## 457 North Macedonia 2015 4.976 9.613
## 458 Israel 2020 7.195 10.538
## 459 Lithuania 2006 5.954 10.046
## 460 Afghanistan 2013 3.572 7.725
## 461 Moldova 2016 5.578 9.300
## 462 Congo (Brazzaville) 2011 4.510 8.180
## 463 Turkey 2011 5.272 9.996
## 464 Bulgaria 2016 4.838 9.928
## 465 Ukraine 2006 4.804 9.380
## 466 Croatia 2012 6.028 10.072
## 467 North Cyprus 2013 5.567 NA
## 468 Kyrgyzstan 2008 4.737 8.329
## 469 Russia 2007 5.223 10.074
## 470 Cameroon 2014 4.240 8.120
## 471 Latvia 2017 5.978 10.257
## 472 South Korea 2017 5.874 10.621
## 473 Bulgaria 2013 3.993 9.813
## 474 Mozambique 2008 4.654 6.865
## 475 Mozambique 2006 4.595 6.776
## 476 Montenegro 2009 4.801 9.699
## 477 Iran 2008 5.129 9.489
## 478 Haiti 2011 4.845 7.423
## 479 Spain 2017 6.230 10.586
## 480 Palestinian Territories 2019 4.483 NA
## 481 Sierra Leone 2015 4.909 7.347
## 482 Armenia 2017 4.288 9.402
## 483 Algeria 2014 6.355 9.335
## 484 Benin 2011 3.870 7.904
## 485 Slovenia 2016 5.937 10.463
## 486 Iran 2007 5.336 9.497
## 487 Gabon 2015 4.661 9.649
## 488 Mongolia 2014 4.825 9.304
## 489 Nepal 2016 5.100 7.973
## 490 Bulgaria 2014 4.438 9.838
## 491 Albania 2011 5.867 9.331
## 492 Pakistan 2011 5.267 8.276
## 493 Palestinian Territories 2010 4.703 8.383
## 494 Jordan 2017 4.808 9.194
## 495 Chad 2017 4.559 7.370
## 496 Israel 2016 7.159 10.555
## 497 Nepal 2013 4.605 7.889
## 498 Bangladesh 2010 4.858 7.967
## 499 India 2012 4.720 8.428
## 500 Cameroon 2019 4.937 8.203
## 501 Guinea 2014 3.412 7.632
## 502 Burkina Faso 2013 3.326 7.546
## 503 Cameroon 2020 5.241 8.175
## 504 Zimbabwe 2008 3.174 7.461
## 505 Moldova 2019 5.803 9.475
## 506 Ethiopia 2019 4.100 7.705
## 507 Italy 2019 6.445 10.655
## 508 Cameroon 2017 5.074 8.176
## 509 Bosnia and Herzegovina 2019 6.016 9.609
## 510 Malawi 2015 3.868 6.935
## 511 Ukraine 2019 4.702 9.458
## 512 Congo (Kinshasa) 2012 4.639 6.832
## 513 Mozambique 2007 4.833 6.823
## 514 Greece 2010 5.840 10.433
## 515 Albania 2013 4.551 9.359
## 516 Gabon 2017 4.782 9.616
## 517 Bangladesh 2015 4.633 8.216
## 518 Cameroon 2007 4.350 8.028
## 519 Israel 2019 7.332 10.601
## 520 Slovenia 2013 5.975 10.385
## 521 Bangladesh 2007 4.607 7.839
## 522 Turkey 2013 4.888 10.091
## 523 Russia 2016 5.855 10.149
## 524 Kosovo 2014 5.000 9.129
## 525 Ukraine 2007 5.252 9.459
## 526 Turkmenistan 2016 5.887 9.515
## 527 Mongolia 2020 6.011 9.396
## 528 Liberia 2019 5.121 7.264
## 529 Liberia 2016 3.355 7.324
## 530 Italy 2008 6.780 10.711
## 531 Croatia 2009 5.433 10.104
## 532 Mauritania 2017 4.678 8.533
## 533 Slovakia 2011 5.945 10.196
## 534 North Macedonia 2014 5.204 9.576
## 535 Nigeria 2013 4.818 8.581
## 536 Morocco 2018 4.897 8.914
## 537 Turkmenistan 2011 5.792 9.182
## 538 Bulgaria 2018 5.099 10.007
## 539 Latvia 2008 5.145 10.112
## 540 North Macedonia 2016 5.346 9.640
## 541 Pakistan 2009 5.208 8.277
## 542 Luxembourg 2013 7.131 11.580
## 543 Hong Kong S.A.R. of China 2017 5.362 11.000
## 544 South Korea 2020 5.793 10.648
## 545 Albania 2009 5.485 9.262
## 546 Uganda 2009 4.612 7.505
## 547 Romania 2013 5.082 10.004
## 548 Mozambique 2018 4.654 7.162
## 549 Gabon 2016 4.832 9.639
## 550 Burundi 2009 3.792 6.723
## 551 Uganda 2008 4.569 7.471
## 552 Czech Republic 2010 6.250 10.419
## 553 Slovenia 2009 5.830 10.410
## 554 Bosnia and Herzegovina 2016 5.181 9.500
## 555 Jordan 2016 5.271 9.197
## 556 Gabon 2018 4.783 9.599
## 557 Latvia 2013 5.070 10.116
## 558 Vietnam 2015 5.076 8.770
## 559 Algeria 2017 5.249 9.354
## 560 Hungary 2011 4.918 10.127
## 561 Egypt 2009 5.066 9.213
## 562 Romania 2005 5.049 9.724
## 563 Cameroon 2018 5.251 8.190
## 564 North Macedonia 2012 4.640 9.513
## 565 Nepal 2007 4.748 7.638
## 566 Azerbaijan 2019 5.173 9.575
## 567 Tajikistan 2010 4.381 7.723
## 568 Ethiopia 2013 4.445 7.343
## 569 Bulgaria 2015 4.865 9.883
## 570 Rwanda 2008 4.363 7.239
## 571 Ukraine 2013 4.711 9.438
## 572 South Korea 2008 5.390 10.383
## 573 Bosnia and Herzegovina 2018 5.887 9.576
## 574 Jordan 2010 5.570 9.317
## 575 Tajikistan 2016 5.104 7.987
## 576 Slovenia 2018 6.249 10.546
## 577 Romania 2007 5.394 9.892
## 578 Bosnia and Herzegovina 2020 5.516 9.583
## 579 North Cyprus 2016 5.827 NA
## 580 Iraq 2020 4.785 9.167
## 581 Russia 2020 5.495 10.162
## 582 Jordan 2009 6.000 9.347
## 583 Saudi Arabia 2010 6.307 10.693
## 584 Turkey 2012 5.309 10.026
## 585 Congo (Brazzaville) 2019 5.213 8.101
## 586 Iran 2015 4.750 9.449
## 587 Congo (Kinshasa) 2016 4.522 6.962
## 588 Estonia 2012 5.364 10.282
## 589 Belgium 2020 6.839 10.771
## 590 Cuba 2006 5.418 NA
## 591 Ivory Coast 2014 3.570 8.334
## 592 Benin 2018 5.820 8.059
## 593 India 2011 4.635 8.387
## 594 Namibia 2020 4.451 9.104
## 595 Uganda 2010 4.193 7.528
## 596 Albania 2010 5.269 9.303
## 597 Pakistan 2016 5.549 8.394
## 598 Mozambique 2017 4.280 7.157
## 599 Portugal 2020 5.768 10.371
## 600 India 2019 3.249 8.818
## 601 Mongolia 2013 4.913 9.248
## 602 Greece 2009 6.039 10.491
## 603 Portugal 2017 5.711 10.407
## 604 Italy 2018 6.517 10.650
## 605 Kyrgyzstan 2010 4.996 8.329
## 606 Niger 2008 4.236 6.918
## 607 Niger 2013 3.716 7.002
## 608 South Korea 2015 5.780 10.568
## 609 Kazakhstan 2007 5.719 9.878
## 610 Estonia 2011 5.487 10.248
## 611 Hungary 2014 5.181 10.183
## 612 Burkina Faso 2007 4.017 7.377
## 613 South Korea 2006 5.332 10.310
## 614 Cameroon 2015 5.038 8.149
## 615 Pakistan 2010 5.786 8.270
## 616 Turkey 2007 5.623 9.903
## 617 Latvia 2014 5.729 10.144
## 618 Slovenia 2011 6.036 10.426
## 619 Slovenia 2006 5.811 10.403
## 620 Hungary 2012 4.683 10.117
## 621 Turkey 2010 5.490 9.906
## 622 Malta 2014 6.452 10.486
## 623 Mongolia 2015 4.983 9.308
## 624 South Korea 2014 5.801 10.546
## 625 Spain 2016 6.319 10.560
## 626 Mongolia 2018 5.465 9.386
## 627 Latvia 2016 5.940 10.211
## 628 Latvia 2006 4.710 10.032
## 629 Romania 2014 5.727 10.041
## 630 Kyrgyzstan 2007 4.698 8.258
## 631 Kyrgyzstan 2006 4.641 8.185
## 632 Estonia 2006 5.371 10.270
## 633 Kosovo 2007 5.104 8.928
## 634 Croatia 2017 5.343 10.189
## 635 Pakistan 2008 4.414 8.271
## 636 South Korea 2011 6.947 10.475
## 637 Tajikistan 2014 4.896 7.911
## 638 Hungary 2010 4.725 10.106
## 639 Burundi 2014 2.905 6.787
## 640 Botswana 2017 3.505 9.756
## 641 Slovenia 2012 6.063 10.397
## 642 Slovakia 2012 5.911 10.213
## 643 India 2018 3.818 8.779
## 644 Portugal 2015 5.081 10.347
## 645 Italy 2011 6.057 10.671
## 646 Angola 2013 3.937 9.005
## 647 Slovenia 2015 5.741 10.433
## 648 Spain 2018 6.513 10.605
## 649 Angola 2011 5.589 8.946
## 650 Benin 2019 4.976 8.098
## 651 Iran 2013 5.140 9.443
## 652 Lithuania 2020 6.391 10.504
## 653 Ethiopia 2018 4.379 7.651
## 654 Jordan 2014 5.333 9.222
## 655 Malta 2013 6.380 10.422
## 656 Liberia 2018 4.135 7.311
## 657 South Korea 2018 5.840 10.643
## 658 Morocco 2015 5.163 8.872
## 659 Zimbabwe 2007 3.280 7.666
## 660 Italy 2017 6.199 10.640
## 661 Algeria 2016 5.341 9.362
## 662 South Korea 2010 6.116 10.447
## 663 Djibouti 2009 4.906 7.927
## 664 Cameroon 2016 4.816 8.167
## 665 Bulgaria 2019 5.108 10.047
## 666 Mauritania 2018 4.314 8.526
## 667 Israel 2018 6.927 10.585
## 668 Spain 2019 6.457 10.618
## 669 South Korea 2012 6.003 10.494
## 670 Hong Kong S.A.R. of China 2016 5.498 10.970
## 671 Hungary 2009 4.895 10.097
## 672 Ivory Coast 2015 4.445 8.393
## 673 Rwanda 2011 4.097 7.369
## 674 Vietnam 2008 5.480 8.440
## 675 Israel 2012 7.111 10.493
## 676 Pakistan 2012 5.132 8.289
## 677 Egypt 2007 5.541 9.135
## 678 Estonia 2007 5.332 10.347
## 679 Hungary 2016 5.449 10.248
## 680 Greece 2018 5.409 10.299
## 681 Slovakia 2010 6.052 10.169
## 682 Burundi 2018 3.775 6.635
## 683 Comoros 2011 3.838 7.981
## 684 Guinea 2015 3.505 7.645
## 685 Ethiopia 2012 4.561 7.271
## 686 Greece 2019 5.952 10.319
## 687 India 2007 5.027 8.204
## 688 Ghana 2016 4.514 8.460
## 689 Liberia 2017 4.424 7.324
## 690 Uganda 2016 4.233 7.637
## 691 Zimbabwe 2012 4.955 7.983
## 692 Kazakhstan 2006 5.476 9.804
## 693 Sudan 2010 4.435 8.076
## 694 Ethiopia 2020 4.549 7.711
## 695 Jordan 2008 4.930 9.343
## 696 Albania 2017 4.640 9.476
## 697 Malawi 2006 3.830 6.678
## 698 Bangladesh 2009 5.083 7.924
## 699 Italy 2020 6.488 10.563
## 700 Italy 2012 5.839 10.638
## 701 Ghana 2006 4.535 8.073
## 702 Slovenia 2010 6.083 10.419
## 703 Comoros 2009 3.476 7.952
## 704 Nepal 2010 4.350 7.765
## 705 Namibia 2019 4.436 9.173
## 706 Russia 2018 5.514 10.191
## 707 Latvia 2007 4.667 10.136
## 708 Senegal 2008 4.683 7.916
## 709 Kazakhstan 2013 5.835 10.074
## 710 Botswana 2014 4.031 9.756
## 711 India 2008 5.146 8.220
## 712 Israel 2017 7.331 10.570
## 713 Ivory Coast 2019 5.392 8.564
## 714 Kazakhstan 2008 5.886 9.898
## 715 Mongolia 2017 5.334 9.334
## 716 Hungary 2005 5.194 10.108
## 717 Albania 2016 4.511 9.437
## 718 Niger 2016 4.235 7.047
## 719 South Korea 2013 5.959 10.520
## 720 Hungary 2018 5.936 10.344
## 721 South Korea 2016 5.971 10.593
## 722 Uganda 2013 3.710 7.595
## 723 Tajikistan 2013 4.967 7.870
## 724 Poland 2017 6.201 10.314
## 725 Guinea 2012 3.652 7.603
## 726 Rwanda 2009 4.030 7.273
## 727 Niger 2014 4.181 7.027
## 728 Czech Republic 2014 6.484 10.446
## 729 Uganda 2011 4.826 7.586
## 730 Qatar 2009 6.418 11.456
## 731 Slovakia 2006 5.265 10.015
## 732 Kazakhstan 2009 5.383 9.884
## 733 Russia 2015 5.996 10.149
## 734 Tanzania 2012 4.007 7.663
## 735 Slovenia 2019 6.665 10.563
## 736 Albania 2020 5.365 9.497
## 737 Italy 2005 6.854 10.703
## 738 Portugal 2018 5.920 10.434
## 739 Israel 2010 7.359 10.461
## 740 Senegal 2013 3.647 7.926
## 741 Russia 2013 5.537 10.182
## 742 Estonia 2014 5.556 10.331
## 743 India 2013 4.428 8.478
## 744 Malta 2015 6.613 10.566
## 745 Mali 2012 4.313 7.605
## 746 Kyrgyzstan 2011 4.921 8.374
## 747 Cameroon 2013 4.271 8.090
## 748 Albania 2019 4.995 9.544
## 749 Uganda 2014 3.770 7.611
## 750 Mali 2008 4.115 7.607
## 751 Vietnam 2006 5.294 8.335
## 752 Niger 2015 3.671 7.030
## 753 Ghana 2019 4.967 8.596
## 754 India 2017 4.046 8.730
## 755 Ivory Coast 2018 5.268 8.523
## 756 Jordan 2007 5.598 9.321
## 757 Egypt 2008 4.632 9.186
## 758 Pakistan 2007 5.671 8.277
## 759 Kazakhstan 2020 6.168 10.135
## 760 South Korea 2019 5.903 10.661
## 761 Hong Kong S.A.R. of China 2014 5.458 10.940
## 762 Jordan 2013 5.172 9.237
## 763 Greece 2020 5.788 10.215
## 764 Portugal 2016 5.447 10.370
## 765 Vietnam 2010 5.296 8.535
## 766 Bangladesh 2011 4.986 8.018
## 767 Albania 2014 4.814 9.378
## 768 Italy 2016 5.955 10.622
## 769 Zambia 2017 3.933 8.156
## 770 Uganda 2018 4.322 7.660
## 771 Bahrain 2010 5.937 10.706
## 772 Guinea 2019 4.768 7.849
## 773 Ghana 2007 5.220 8.090
## 774 Botswana 2016 3.499 9.748
## 775 Tanzania 2020 3.786 7.881
## 776 Spain 2020 6.502 10.488
## 777 India 2006 5.348 8.145
## 778 Zambia 2007 3.998 7.871
## 779 Morocco 2012 4.970 8.799
## 780 Malta 2016 6.591 10.599
## 781 Guinea 2016 3.603 7.721
## 782 Iran 2016 4.653 9.561
## 783 Russia 2014 6.037 10.171
## 784 Botswana 2006 4.739 9.492
## 785 Ukraine 2020 5.270 9.428
## 786 Kuwait 2016 5.947 10.910
## 787 Albania 2015 4.607 9.403
## 788 Venezuela 2016 4.041 9.010
## 789 Mongolia 2012 4.885 9.158
## 790 Burundi 2011 3.706 6.748
## 791 Tajikistan 2015 5.124 7.945
## 792 Greece 2013 4.720 10.243
## 793 Botswana 2010 3.553 9.556
## 794 Madagascar 2012 3.551 7.339
## 795 South Korea 2007 5.767 10.361
## 796 Poland 2009 5.772 10.047
## 797 Ghana 2015 3.986 8.449
## 798 Jordan 2015 5.405 9.207
## 799 Zambia 2015 4.843 8.144
## 800 Kyrgyzstan 2012 5.208 8.357
## 801 Russia 2019 5.441 10.205
## 802 Ghana 2013 4.965 8.445
## 803 Zambia 2020 4.838 8.117
## 804 Burkina Faso 2019 4.741 7.691
## 805 Kazakhstan 2010 5.514 9.940
## 806 Mongolia 2011 5.031 9.061
## 807 Vietnam 2018 5.296 8.934
## 808 Kosovo 2013 6.126 9.113
## 809 Mauritania 2019 4.153 8.556
## 810 Greece 2005 6.006 10.462
## 811 Kuwait 2017 6.094 10.837
## 812 Zambia 2014 4.346 8.146
## 813 Italy 2015 5.848 10.608
## 814 Brazil 2020 6.110 9.522
## 815 Kazakhstan 2018 6.008 10.148
## 816 Ivory Coast 2020 5.257 8.565
## 817 Uganda 2019 4.948 7.688
## 818 Gabon 2019 4.914 9.607
## 819 Tajikistan 2007 4.432 7.609
## 820 Mongolia 2016 5.057 9.300
## 821 Tanzania 2016 2.903 7.800
## 822 Romania 2016 5.969 10.136
## 823 Iran 2017 4.717 9.584
## 824 Kosovo 2010 5.177 9.033
## 825 Kazakhstan 2011 5.736 9.997
## 826 Turkmenistan 2014 5.787 9.427
## 827 Tajikistan 2018 5.497 8.082
## 828 Kuwait 2019 6.106 10.817
## 829 Libya 2012 5.754 9.842
## 830 Israel 2009 7.353 10.425
## 831 India 2016 4.179 8.673
## 832 Greece 2014 4.756 10.257
## 833 Kosovo 2011 4.860 9.067
## 834 Jordan 2005 6.295 9.246
## 835 Ghana 2014 3.860 8.450
## 836 Israel 2006 7.173 10.389
## 837 Israel 2007 6.841 10.428
## 838 Spain 2013 6.150 10.476
## 839 South Korea 2009 5.648 10.386
## 840 Romania 2019 6.130 10.306
## 841 Israel 2015 7.079 10.536
## 842 India 2010 4.989 8.349
## 843 Malta 2010 5.774 10.361
## 844 Libya 2017 5.647 9.491
## 845 Peru 2006 4.811 8.989
## 846 Tajikistan 2011 4.263 7.772
## 847 Botswana 2013 4.128 9.728
## 848 Slovakia 2013 5.937 10.218
## 849 Ivory Coast 2017 5.038 8.483
## 850 Israel 2013 7.321 10.515
## 851 Bolivia 2017 5.651 9.039
## 852 Nepal 2011 3.809 7.797
## 853 Uganda 2020 4.641 7.684
## 854 Singapore 2007 6.834 11.212
## 855 Niger 2011 4.556 6.925
## 856 Portugal 2013 5.158 10.312
## 857 Zambia 2006 4.824 7.817
## 858 Hungary 2007 4.954 10.153
## 859 Vietnam 2014 5.085 8.716
## 860 Guinea 2011 4.045 7.567
## 861 India 2015 4.342 8.604
## 862 Greece 2016 5.303 10.261
## 863 Kazakhstan 2016 5.534 10.095
## 864 Madagascar 2006 3.980 7.376
## 865 Kenya 2015 4.358 8.249
## 866 Estonia 2013 5.367 10.299
## 867 Benin 2013 3.479 7.964
## 868 North Cyprus 2015 5.843 NA
## 869 Rwanda 2012 3.333 7.428
## 870 Japan 2018 5.794 10.623
## 871 Ghana 2017 5.481 8.517
## 872 Slovakia 2014 6.139 10.244
## 873 Portugal 2008 5.717 10.384
## 874 Zimbabwe 2020 3.160 7.829
## 875 Zambia 2018 4.041 8.167
## 876 Uganda 2015 4.238 7.627
## 877 Uganda 2017 4.001 7.638
## 878 Kosovo 2016 5.759 9.228
## 879 Malawi 2014 4.563 6.935
## 880 Libya 2015 5.615 9.308
## 881 Ivory Coast 2016 4.543 8.437
## 882 Guinea 2017 4.874 7.792
## 883 Kenya 2006 4.223 8.039
## 884 Turkmenistan 2015 5.791 9.472
## 885 Saudi Arabia 2014 6.278 10.783
## 886 Portugal 2014 5.127 10.325
## 887 Niger 2007 4.277 6.881
## 888 Bulgaria 2020 5.598 9.991
## 889 Hungary 2013 4.914 10.140
## 890 Libya 2018 5.494 9.617
## 891 Mongolia 2019 5.563 9.418
## 892 Kenya 2012 4.547 8.161
## 893 Hungary 2015 5.344 10.223
## 894 Malta 2019 6.733 10.677
## 895 Uganda 2007 4.456 7.419
## 896 Sri Lanka 2007 4.415 8.970
## 897 Mali 2015 4.582 7.669
## 898 Portugal 2006 5.405 10.360
## 899 Libya 2019 5.330 9.627
## 900 North Cyprus 2012 5.463 NA
## 901 Hong Kong S.A.R. of China 2010 5.643 10.847
## 902 Russia 2017 5.579 10.166
## 903 Saudi Arabia 2008 6.811 10.722
## 904 Zimbabwe 2018 3.616 8.049
## 905 Afghanistan 2012 3.783 7.705
## 906 Portugal 2019 6.095 10.457
## 907 Israel 2008 7.261 10.440
## 908 Senegal 2015 4.617 7.995
## 909 India 2014 4.424 8.538
## 910 Burkina Faso 2018 4.927 7.665
## 911 Mongolia 2010 4.586 8.920
## 912 Zimbabwe 2013 4.690 7.985
## 913 Botswana 2019 3.471 9.785
## 914 Mali 2019 4.988 7.752
## 915 Morocco 2016 5.386 8.869
## 916 Ghana 2020 5.319 8.590
## 917 Malawi 2011 3.946 6.895
## 918 Albania 2018 5.004 9.518
## 919 Czech Republic 2018 7.034 10.583
## 920 Bangladesh 2012 4.724 8.070
## 921 Uzbekistan 2008 5.311 8.339
## 922 Tajikistan 2012 4.497 7.821
## 923 Senegal 2007 4.680 7.903
## 924 Latvia 2020 6.229 10.300
## 925 Ethiopia 2015 4.573 7.484
## 926 Senegal 2018 4.769 8.106
## 927 Slovakia 2015 6.162 10.291
## 928 Dominican Republic 2015 5.062 9.637
## 929 Romania 2015 5.777 10.083
## 930 Zimbabwe 2015 3.703 7.992
## 931 Hong Kong S.A.R. of China 2012 5.484 10.893
## 932 Saudi Arabia 2012 6.396 10.779
## 933 Nigeria 2019 4.356 8.544
## 934 Tanzania 2017 3.347 7.836
## 935 Poland 2005 5.587 9.849
## 936 Zimbabwe 2006 3.826 7.711
## 937 Malta 2009 6.328 10.331
## 938 Zimbabwe 2019 2.694 7.950
## 939 Burkina Faso 2006 3.801 7.367
## 940 Bahrain 2015 6.007 10.785
## 941 Italy 2007 6.574 10.727
## 942 Brazil 2017 6.333 9.583
## 943 Spain 2014 6.456 10.492
## 944 Italy 2014 6.027 10.599
## 945 Tanzania 2010 3.229 7.604
## 946 Nepal 2006 4.567 7.616
## 947 Ghana 2008 4.965 8.152
## 948 Nigeria 2015 4.933 8.615
## 949 Vietnam 2013 5.023 8.668
## 950 Kazakhstan 2014 5.970 10.101
## 951 Kuwait 2010 6.798 10.982
## 952 Kuwait 2009 6.585 11.065
## 953 Libya 2016 5.434 9.268
## 954 Hong Kong S.A.R. of China 2008 5.137 10.816
## 955 Cambodia 2006 3.569 7.746
## 956 Czech Republic 2013 6.698 10.420
## 957 Rwanda 2015 3.483 7.544
## 958 Singapore 2008 6.642 11.178
## 959 Namibia 2017 4.441 9.215
## 960 Malta 2018 6.910 10.670
## 961 Malta 2017 6.676 10.635
## 962 Kyrgyzstan 2013 5.402 8.441
## 963 Finland 2006 7.672 10.745
## 964 Venezuela 2020 4.574 NA
## 965 Singapore 2019 6.378 11.486
## 966 Estonia 2015 5.629 10.348
## 967 Hong Kong S.A.R. of China 2006 5.511 10.746
## 968 Czech Republic 2005 6.439 10.324
## 969 Madagascar 2019 4.339 7.406
## 970 Kuwait 2015 6.146 10.912
## 971 Mali 2013 3.676 7.599
## 972 North Cyprus 2014 5.786 NA
## 973 Spain 2010 6.188 10.529
## 974 Saudi Arabia 2015 6.345 10.798
## 975 Senegal 2014 4.395 7.961
## 976 Kenya 2007 4.576 8.078
## 977 Poland 2019 6.242 10.407
## 978 Kyrgyzstan 2014 5.252 8.460
## 979 Poland 2011 5.646 10.133
## 980 Bangladesh 2008 5.052 7.886
## 981 Nigeria 2017 5.322 8.555
## 982 Zimbabwe 2014 4.184 7.991
## 983 Tunisia 2010 5.131 9.222
## 984 Portugal 2011 5.220 10.353
## 985 Estonia 2016 5.650 10.374
## 986 Kosovo 2020 6.294 NA
## 987 Saudi Arabia 2011 6.700 10.758
## 988 Tanzania 2019 3.640 7.886
## 989 Zambia 2012 5.013 8.114
## 990 Venezuela 2017 5.071 9.073
## 991 Malawi 2007 4.891 6.742
## 992 South Africa 2009 5.218 9.414
## 993 Ethiopia 2016 4.298 7.547
## 994 Moldova 2020 5.812 9.462
## 995 Zambia 2009 5.260 7.978
## 996 Comoros 2010 3.812 7.965
## 997 Uzbekistan 2006 5.232 8.193
## 998 Tajikistan 2019 5.464 8.126
## 999 Portugal 2012 4.994 10.315
## 1000 Niger 2009 4.267 6.898
## 1001 Kazakhstan 2015 5.950 10.098
## 1002 Saudi Arabia 2005 7.080 10.699
## 1003 Botswana 2018 3.461 9.778
## 1004 Japan 2007 6.238 10.558
## 1005 Botswana 2008 5.451 9.590
## 1006 Tanzania 2014 3.483 7.734
## 1007 Zambia 2016 4.348 8.151
## 1008 Niger 2017 4.616 7.058
## 1009 Mauritania 2008 4.248 8.501
## 1010 France 2020 6.714 10.643
## 1011 Germany 2007 6.417 10.759
## 1012 Saudi Arabia 2019 6.561 10.757
## 1013 Nigeria 2016 5.220 8.573
## 1014 Lesotho 2016 3.808 7.953
## 1015 Spain 2015 6.381 10.531
## 1016 Dominican Republic 2008 4.842 9.391
## 1017 Mauritania 2007 4.149 8.533
## 1018 Belgium 2019 6.772 10.853
## 1019 Kenya 2020 4.547 8.365
## 1020 Hong Kong S.A.R. of China 2011 5.474 10.887
## 1021 Romania 2017 6.090 10.211
## 1022 Poland 2015 6.007 10.235
## 1023 Madagascar 2013 3.816 7.334
## 1024 Sudan 2009 4.455 8.106
## 1025 Jamaica 2013 5.709 9.151
## 1026 Dominican Republic 2020 5.168 9.802
## 1027 Somaliland region 2012 5.057 NA
## 1028 Hungary 2017 6.065 10.293
## 1029 Rwanda 2006 4.215 7.111
## 1030 South Africa 2007 5.204 9.426
## 1031 Mauritania 2016 4.472 8.526
## 1032 Hungary 2020 6.038 10.335
## 1033 France 2019 6.690 10.740
## 1034 Lesotho 2019 3.512 7.926
## 1035 Romania 2018 6.151 10.260
## 1036 Zambia 2013 5.244 8.131
## 1037 Egypt 2005 5.168 9.036
## 1038 Uzbekistan 2009 5.261 8.400
## 1039 Morocco 2011 5.085 8.783
## 1040 Zimbabwe 2009 4.056 7.563
## 1041 Nepal 2012 4.233 7.846
## 1042 Czech Republic 2007 6.500 10.437
## 1043 Malaysia 2013 5.770 10.037
## 1044 Comoros 2019 4.609 8.033
## 1045 Malta 2011 6.155 10.370
## 1046 Rwanda 2019 3.268 7.708
## 1047 Germany 2017 7.074 10.878
## 1048 Poland 2010 5.887 10.085
## 1049 Jamaica 2014 5.311 9.152
## 1050 Spain 2011 6.518 10.518
## 1051 Cyprus 2014 5.627 10.406
## 1052 Mauritania 2009 4.500 8.473
## 1053 Kosovo 2017 6.149 9.262
## 1054 Germany 2016 6.874 10.858
## 1055 Tanzania 2013 3.852 7.699
## 1056 Zimbabwe 2016 3.735 7.984
## 1057 Greece 2007 6.647 10.543
## 1058 Mauritius 2011 5.477 9.767
## 1059 Ethiopia 2014 4.507 7.413
## 1060 Israel 2011 7.433 10.489
## 1061 Japan 2005 6.516 10.529
## 1062 Botswana 2011 3.520 9.600
## 1063 Czech Republic 2017 6.790 10.558
## 1064 Namibia 2018 4.834 9.204
## 1065 Dominican Republic 2017 5.605 9.725
## 1066 Cambodia 2008 4.462 7.879
## 1067 Bolivia 2006 5.374 8.686
## 1068 Japan 2017 5.911 10.618
## 1069 Kazakhstan 2012 5.759 10.030
## 1070 Senegal 2006 4.417 7.881
## 1071 Nigeria 2008 4.939 8.403
## 1072 Greece 2015 5.623 10.259
## 1073 Mali 2014 3.975 7.638
## 1074 Poland 2018 6.111 10.366
## 1075 Japan 2020 6.118 10.580
## 1076 Japan 2014 5.923 10.575
## 1077 Portugal 2010 5.095 10.368
## 1078 Saudi Arabia 2009 6.148 10.673
## 1079 Cyprus 2016 5.795 10.506
## 1080 Bolivia 2018 5.916 9.066
## 1081 Mali 2017 4.742 7.718
## 1082 Hungary 2019 6.000 10.393
## 1083 Japan 2019 5.908 10.632
## 1084 Germany 2013 6.965 10.817
## 1085 Kenya 2016 4.396 8.282
## 1086 Croatia 2020 6.508 10.166
## 1087 Ivory Coast 2013 3.739 8.274
## 1088 Zambia 2019 3.307 8.155
## 1089 Tanzania 2008 4.385 7.549
## 1090 Finland 2020 7.889 10.750
## 1091 Zambia 2008 4.730 7.918
## 1092 Ghana 2011 5.608 8.332
## 1093 Saudi Arabia 2013 6.495 10.776
## 1094 Nigeria 2020 5.503 8.484
## 1095 Malta 2012 5.963 10.389
## 1096 Guinea 2018 5.252 7.823
## 1097 Niger 2010 4.101 6.941
## 1098 Nepal 2008 4.441 7.686
## 1099 Nigeria 2009 4.980 8.453
## 1100 Mexico 2015 6.236 9.867
## 1101 Dominican Republic 2018 5.433 9.782
## 1102 Lesotho 2017 3.795 7.931
## 1103 Botswana 2015 3.762 9.724
## 1104 United Arab Emirates 2006 6.734 11.367
## 1105 France 2008 7.008 10.674
## 1106 Myanmar 2017 4.154 8.464
## 1107 Senegal 2017 4.683 8.072
## 1108 Cyprus 2009 6.833 10.558
## 1109 Ghana 2018 5.004 8.555
## 1110 Cyprus 2015 5.439 10.445
## 1111 Zimbabwe 2010 4.682 7.729
## 1112 Mauritius 2017 6.174 9.972
## 1113 Austria 2017 7.294 10.908
## 1114 Madagascar 2014 3.676 7.340
## 1115 Tanzania 2006 3.922 7.485
## 1116 Dominican Republic 2006 5.088 9.314
## 1117 Comoros 2018 3.973 8.028
## 1118 Cyprus 2013 5.439 10.414
## 1119 Somaliland region 2011 4.931 NA
## 1120 Uzbekistan 2013 5.940 8.607
## 1121 Kosovo 2019 6.425 9.339
## 1122 Denmark 2009 7.683 10.824
## 1123 Namibia 2014 4.574 9.232
## 1124 Tajikistan 2020 5.373 8.080
## 1125 Spain 2012 6.291 10.487
## 1126 Luxembourg 2018 7.243 11.645
## 1127 Malaysia 2006 6.012 9.839
## 1128 Belgium 2018 6.892 10.844
## 1129 Slovakia 2019 6.243 10.398
## 1130 Cyprus 2018 6.276 10.567
## 1131 Brazil 2018 6.191 9.589
## 1132 Vietnam 2019 5.467 8.992
## 1133 Finland 2015 7.448 10.716
## 1134 Czech Republic 2015 6.608 10.496
## 1135 Germany 2019 7.035 10.893
## 1136 Kenya 2019 4.619 8.373
## 1137 Uruguay 2008 5.664 9.671
## 1138 Singapore 2006 6.463 11.168
## 1139 Bolivia 2019 5.674 9.074
## 1140 Senegal 2011 3.834 7.904
## 1141 Jamaica 2019 6.309 9.186
## 1142 Austria 2018 7.396 10.928
## 1143 Kuwait 2013 6.480 10.985
## 1144 Rwanda 2016 3.333 7.576
## 1145 United Arab Emirates 2020 6.458 11.053
## 1146 Spain 2009 6.199 10.532
## 1147 Madagascar 2018 4.071 7.386
## 1148 Madagascar 2017 4.079 7.368
## 1149 India 2020 4.225 8.703
## 1150 Kosovo 2015 5.077 9.182
## 1151 Saudi Arabia 2020 6.560 10.701
## 1152 France 2012 6.649 10.669
## 1153 Slovakia 2018 6.235 10.376
## 1154 Uganda 2012 4.309 7.592
## 1155 Peru 2015 5.577 9.402
## 1156 Djibouti 2008 5.009 8.111
## 1157 Kyrgyzstan 2017 5.630 8.526
## 1158 Mauritania 2014 4.483 8.519
## 1159 Niger 2006 3.737 6.888
## 1160 Finland 2019 7.780 10.792
## 1161 Tanzania 2007 4.318 7.522
## 1162 Belize 2014 5.956 8.883
## 1163 Myanmar 2019 4.434 8.545
## 1164 Brazil 2015 6.547 9.620
## 1165 Brazil 2012 6.660 9.647
## 1166 Cyprus 2012 6.181 10.479
## 1167 Austria 2016 7.048 10.891
## 1168 Czech Republic 2016 6.736 10.518
## 1169 Denmark 2008 7.971 10.880
## 1170 Kazakhstan 2017 5.882 10.121
## 1171 Luxembourg 2015 6.702 11.617
## 1172 Sri Lanka 2006 4.345 8.912
## 1173 Senegal 2009 4.335 7.909
## 1174 Chile 2008 5.789 9.911
## 1175 Peru 2012 5.825 9.322
## 1176 Mali 2011 4.667 7.643
## 1177 Luxembourg 2016 6.967 11.640
## 1178 United Kingdom 2020 6.798 10.626
## 1179 Peru 2007 5.214 9.063
## 1180 Australia 2018 7.177 10.811
## 1181 Honduras 2007 5.097 8.500
## 1182 United Kingdom 2017 7.103 10.736
## 1183 Kenya 2018 4.656 8.344
## 1184 Belize 2007 6.451 8.892
## 1185 Cyprus 2020 6.260 NA
## 1186 Peru 2014 5.866 9.382
## 1187 Venezuela 2018 5.006 NA
## 1188 Bolivia 2013 5.767 8.915
## 1189 Mali 2009 3.977 7.622
## 1190 Ghana 2012 5.057 8.397
## 1191 Rwanda 2013 3.466 7.449
## 1192 Japan 2016 5.955 10.595
## 1193 Germany 2020 7.312 10.833
## 1194 Kenya 2011 4.405 8.143
## 1195 Poland 2007 5.886 9.978
## 1196 Dominican Republic 2016 5.239 9.691
## 1197 Poland 2020 6.139 10.371
## 1198 South Africa 2012 5.134 9.453
## 1199 United Arab Emirates 2015 6.568 11.086
## 1200 Qatar 2011 6.592 11.553
## 1201 Brazil 2019 6.451 9.592
## 1202 El Salvador 2016 6.140 9.025
## 1203 Venezuela 2019 5.081 NA
## 1204 Bolivia 2011 5.779 8.831
## 1205 Mauritania 2011 4.785 8.481
## 1206 Hong Kong S.A.R. of China 2009 5.397 10.788
## 1207 Tanzania 2018 3.445 7.859
## 1208 France 2017 6.635 10.711
## 1209 Bahrain 2019 7.098 10.715
## 1210 Rwanda 2017 3.108 7.588
## 1211 Rwanda 2014 3.596 7.484
## 1212 Kyrgyzstan 2018 5.297 8.543
## 1213 United Arab Emirates 2011 7.119 10.935
## 1214 South Africa 2011 4.931 9.447
## 1215 United Arab Emirates 2010 7.097 10.914
## 1216 Spain 2007 6.995 10.587
## 1217 Cyprus 2011 6.690 10.530
## 1218 Cyprus 2019 6.137 10.585
## 1219 Brazil 2016 6.375 9.578
## 1220 France 2009 6.283 10.639
## 1221 Peru 2008 5.129 9.142
## 1222 Myanmar 2012 4.439 8.158
## 1223 Suriname 2012 6.269 9.797
## 1224 Slovakia 2020 6.519 10.332
## 1225 Saudi Arabia 2018 6.356 10.771
## 1226 Argentina 2020 5.901 9.850
## 1227 Bahrain 2009 5.701 10.709
## 1228 Malawi 2009 5.148 6.838
## 1229 Tanzania 2011 4.074 7.649
## 1230 China 2010 4.653 9.092
## 1231 Kenya 2013 3.795 8.192
## 1232 Germany 2015 7.037 10.844
## 1233 Belgium 2016 6.949 10.819
## 1234 Luxembourg 2017 7.061 11.634
## 1235 Kyrgyzstan 2019 5.685 8.567
## 1236 Sweden 2020 7.314 10.838
## 1237 Qatar 2012 6.611 11.523
## 1238 Bolivia 2010 5.781 8.797
## 1239 Mauritius 2020 6.015 9.972
## 1240 Kyrgyzstan 2015 4.905 8.477
## 1241 Mali 2006 4.014 7.593
## 1242 Dominican Republic 2007 5.081 9.372
## 1243 France 2018 6.666 10.727
## 1244 Chile 2007 5.698 9.887
## 1245 Japan 2015 5.880 10.588
## 1246 United Arab Emirates 2012 7.218 10.958
## 1247 Guyana 2007 5.993 8.773
## 1248 Bahrain 2013 6.690 10.757
## 1249 Somaliland region 2010 4.657 NA
## 1250 Senegal 2010 4.372 7.917
## 1251 Denmark 2011 7.788 10.848
## 1252 Switzerland 2020 7.508 11.081
## 1253 Finland 2013 7.445 10.722
## 1254 Australia 2020 7.137 10.760
## 1255 Austria 2020 7.213 10.851
## 1256 France 2005 7.093 10.642
## 1257 Jamaica 2017 5.890 9.169
## 1258 Philippines 2017 5.594 9.002
## 1259 Singapore 2013 6.533 11.357
## 1260 Sri Lanka 2009 4.212 9.049
## 1261 Australia 2019 7.234 10.815
## 1262 Malaysia 2014 5.963 10.082
## 1263 United Arab Emirates 2009 6.866 10.975
## 1264 Mali 2018 4.416 7.733
## 1265 Senegal 2012 3.669 7.926
## 1266 India 2009 4.522 8.281
## 1267 Bolivia 2007 5.628 8.714
## 1268 Niger 2018 5.164 7.087
## 1269 Kenya 2008 4.015 8.052
## 1270 Kenya 2009 4.270 8.057
## 1271 Saudi Arabia 2007 7.267 10.689
## 1272 Spain 2008 7.294 10.579
## 1273 Finland 2008 7.671 10.796
## 1274 South Africa 2013 3.661 9.461
## 1275 Botswana 2012 4.836 9.632
## 1276 Finland 2011 7.354 10.754
## 1277 South Africa 2008 5.346 9.444
## 1278 France 2016 6.475 10.690
## 1279 Philippines 2018 5.869 9.050
## 1280 Gambia 2019 5.164 7.699
## 1281 Mauritius 2018 5.882 10.008
## 1282 Switzerland 2017 7.474 11.115
## 1283 Ghana 2009 4.198 8.174
## 1284 Austria 2019 7.195 10.939
## 1285 Denmark 2012 7.520 10.846
## 1286 Slovakia 2016 5.993 10.310
## 1287 Indonesia 2008 4.815 8.943
## 1288 Cambodia 2010 4.141 7.907
## 1289 Malaysia 2007 6.239 9.881
## 1290 Australia 2014 7.289 10.772
## 1291 United Arab Emirates 2016 6.831 11.105
## 1292 United Kingdom 2019 7.157 10.751
## 1293 Italy 2009 6.334 10.652
## 1294 Saudi Arabia 2017 6.294 10.764
## 1295 Malaysia 2015 6.322 10.118
## 1296 Uzbekistan 2010 5.095 8.445
## 1297 Japan 2011 6.263 10.532
## 1298 Germany 2005 6.620 10.689
## 1299 United Kingdom 2016 6.824 10.724
## 1300 Spain 2005 7.153 10.546
## 1301 United Kingdom 2013 6.918 10.679
## 1302 Japan 2012 5.968 10.549
## 1303 Poland 2014 5.750 10.197
## 1304 Poland 2016 6.162 10.266
## 1305 Uruguay 2007 5.694 9.604
## 1306 France 2006 6.583 10.659
## 1307 Myanmar 2018 4.411 8.523
## 1308 Kyrgyzstan 2016 4.857 8.500
## 1309 Mauritania 2010 4.772 8.470
## 1310 Tanzania 2009 3.408 7.572
## 1311 Kosovo 2018 6.392 9.296
## 1312 Swaziland 2019 4.396 9.070
## 1313 Peru 2013 5.783 9.369
## 1314 Switzerland 2016 7.459 11.106
## 1315 Bhutan 2013 5.569 9.123
## 1316 Nicaragua 2006 4.460 8.398
## 1317 Italy 2013 6.009 10.608
## 1318 Austria 2014 6.950 10.882
## 1319 Japan 2008 5.911 10.546
## 1320 Australia 2017 7.257 10.798
## 1321 Germany 2018 7.118 10.890
## 1322 Peru 2011 5.892 9.270
## 1323 Turkmenistan 2009 6.568 8.989
## 1324 South Africa 2015 4.887 9.460
## 1325 Nigeria 2006 4.710 8.326
## 1326 Zimbabwe 2011 4.846 7.846
## 1327 France 2011 6.959 10.671
## 1328 Nicaragua 2009 5.353 8.407
## 1329 Philippines 2019 6.268 9.095
## 1330 Bolivia 2008 5.298 8.756
## 1331 Mauritania 2012 4.673 8.495
## 1332 Finland 2018 7.858 10.783
## 1333 Nigeria 2010 4.760 8.504
## 1334 United Kingdom 2007 6.802 10.699
## 1335 Bolivia 2012 6.019 8.865
## 1336 Ghana 2010 4.606 8.225
## 1337 United Kingdom 2018 7.233 10.743
## 1338 Thailand 2020 5.885 9.769
## 1339 Bolivia 2016 5.770 9.012
## 1340 Cambodia 2014 3.883 8.121
## 1341 Finland 2014 7.385 10.714
## 1342 Ireland 2014 7.018 10.959
## 1343 Morocco 2013 5.142 8.829
## 1344 Poland 2013 5.746 10.164
## 1345 Senegal 2016 4.595 8.029
## 1346 Netherlands 2020 7.504 10.901
## 1347 Dominican Republic 2019 6.004 9.821
## 1348 Mexico 2012 7.320 9.832
## 1349 Nicaragua 2008 5.104 8.454
## 1350 Cyprus 2017 6.062 10.539
## 1351 Uruguay 2006 5.786 9.543
## 1352 Philippines 2007 5.074 8.608
## 1353 Denmark 2010 7.771 10.839
## 1354 Japan 2009 5.845 10.491
## 1355 Germany 2014 6.984 10.835
## 1356 Mauritius 2016 5.610 9.935
## 1357 South Africa 2017 4.514 9.450
## 1358 Dominican Republic 2009 5.432 9.388
## 1359 Uzbekistan 2012 6.019 8.550
## 1360 China 2009 4.454 8.996
## 1361 France 2015 6.358 10.682
## 1362 Belgium 2017 6.928 10.834
## 1363 Cyprus 2010 6.387 10.551
## 1364 South Africa 2016 4.770 9.450
## 1365 Bolivia 2015 5.834 8.985
## 1366 Singapore 2018 6.375 11.490
## 1367 Uzbekistan 2011 5.739 8.493
## 1368 Kazakhstan 2019 6.272 10.179
## 1369 Austria 2013 7.499 10.883
## 1370 Finland 2017 7.788 10.768
## 1371 Germany 2008 6.522 10.770
## 1372 Poland 2012 5.876 10.149
## 1373 Dominican Republic 2010 4.735 9.456
## 1374 Bahrain 2016 6.170 10.781
## 1375 United States 2020 7.028 11.001
## 1376 United Arab Emirates 2018 6.604 11.112
## 1377 Netherlands 2008 7.631 10.899
## 1378 Jamaica 2006 6.208 9.225
## 1379 Slovakia 2017 6.366 10.339
## 1380 Uruguay 2012 6.450 9.861
## 1381 Kenya 2017 4.476 8.306
## 1382 Brazil 2014 6.981 9.664
## 1383 Austria 2011 7.471 10.887
## 1384 Honduras 2008 5.420 8.520
## 1385 Luxembourg 2019 7.404 11.648
## 1386 China 2020 5.771 9.702
## 1387 Senegal 2019 5.489 8.130
## 1388 Peru 2017 5.711 9.434
## 1389 Sri Lanka 2008 4.431 9.021
## 1390 Australia 2015 7.309 10.779
## 1391 Mexico 2013 7.443 9.832
## 1392 Mexico 2011 6.910 9.810
## 1393 France 2010 6.798 10.654
## 1394 Bahrain 2020 6.173 10.620
## 1395 Bolivia 2020 5.559 8.998
## 1396 Ecuador 2020 5.354 9.244
## 1397 Australia 2016 7.250 10.791
## 1398 Nicaragua 2011 5.386 8.484
## 1399 Norway 2008 7.632 11.042
## 1400 Switzerland 2018 7.509 11.134
## 1401 Germany 2009 6.641 10.714
## 1402 Cambodia 2013 3.674 8.068
## 1403 Lesotho 2011 4.898 7.777
## 1404 Kuwait 2011 6.378 11.017
## 1405 Mauritania 2013 4.199 8.506
## 1406 Uruguay 2009 6.296 9.710
## 1407 Saudi Arabia 2016 6.474 10.792
## 1408 United Arab Emirates 2019 6.711 11.114
## 1409 Dominican Republic 2013 5.016 9.525
## 1410 Rwanda 2018 3.561 7.644
## 1411 Nicaragua 2018 5.819 8.647
## 1412 South Africa 2010 4.652 9.430
## 1413 Germany 2011 6.621 10.813
## 1414 Taiwan Province of China 2008 5.548 10.606
## 1415 Japan 2013 5.959 10.570
## 1416 Germany 2010 6.725 10.756
## 1417 United Kingdom 2014 6.758 10.697
## 1418 Colombia 2016 6.234 9.571
## 1419 Estonia 2018 6.091 10.472
## 1420 United Arab Emirates 2017 7.039 11.115
## 1421 Sri Lanka 2017 4.331 9.440
## 1422 Colombia 2020 5.709 9.495
## 1423 Sweden 2007 7.241 10.806
## 1424 Cambodia 2009 4.111 7.865
## 1425 Finland 2012 7.420 10.735
## 1426 Belgium 2005 7.262 10.745
## 1427 Canada 2020 7.025 10.730
## 1428 Mali 2010 3.762 7.642
## 1429 Finland 2016 7.660 10.740
## 1430 Belgium 2013 7.104 10.784
## 1431 Ireland 2020 7.035 11.323
## 1432 Honduras 2010 5.866 8.490
## 1433 Dominican Republic 2012 4.753 9.489
## 1434 Nicaragua 2015 5.924 8.636
## 1435 Bolivia 2009 6.086 8.773
## 1436 Austria 2015 7.076 10.881
## 1437 Switzerland 2019 7.694 11.136
## 1438 United Kingdom 2015 6.515 10.712
## 1439 Trinidad and Tobago 2006 5.832 10.224
## 1440 South Africa 2014 4.828 9.464
## 1441 Belgium 2014 6.855 10.795
## 1442 Dominican Republic 2014 5.387 9.582
## 1443 Ireland 2015 6.830 11.174
## 1444 Luxembourg 2009 6.958 11.562
## 1445 Cambodia 2011 4.161 7.960
## 1446 Philippines 2013 4.977 8.805
## 1447 Cambodia 2017 4.586 8.276
## 1448 Singapore 2017 6.378 11.461
## 1449 France 2013 6.667 10.669
## 1450 Myanmar 2020 4.431 8.554
## 1451 Colombia 2006 6.025 9.277
## 1452 Peru 2010 5.613 9.217
## 1453 Panama 2015 6.606 10.255
## 1454 South Africa 2019 5.035 9.432
## 1455 South Africa 2006 5.084 9.386
## 1456 Venezuela 2008 6.258 9.701
## 1457 Madagascar 2015 3.593 7.344
## 1458 Mexico 2014 6.680 9.847
## 1459 Singapore 2015 6.620 11.400
## 1460 Luxembourg 2014 6.891 11.598
## 1461 Myanmar 2013 4.176 8.230
## 1462 Nicaragua 2012 5.448 8.534
## 1463 Kyrgyzstan 2020 6.250 8.503
## 1464 Honduras 2009 6.033 8.474
## 1465 Colombia 2008 6.168 9.351
## 1466 Chile 2015 6.533 10.070
## 1467 Sweden 2008 7.516 10.793
## 1468 Estonia 2019 6.035 10.511
## 1469 Germany 2012 6.702 10.816
## 1470 Myanmar 2016 4.623 8.408
## 1471 Chile 2011 6.526 9.980
## 1472 Philippines 2020 5.080 9.061
## 1473 Chile 2006 6.063 9.850
## 1474 Gambia 2018 4.922 7.671
## 1475 Uzbekistan 2014 6.049 8.659
## 1476 Estonia 2017 5.938 10.429
## 1477 Belgium 2015 6.904 10.810
## 1478 Uruguay 2011 6.554 9.830
## 1479 Nigeria 2018 5.252 8.548
## 1480 Nicaragua 2010 5.687 8.436
## 1481 Philippines 2015 5.547 8.896
## 1482 Nicaragua 2016 6.013 8.668
## 1483 Philippines 2008 4.589 8.634
## 1484 Zimbabwe 2017 3.638 8.016
## 1485 United States 2016 6.804 10.986
## 1486 Estonia 2020 6.453 10.459
## 1487 Ireland 2019 7.255 11.371
## 1488 Uruguay 2010 6.062 9.782
## 1489 Uruguay 2020 6.310 9.937
## 1490 Brazil 2011 7.038 9.637
## 1491 Mali 2016 4.016 7.695
## 1492 Mauritius 2019 6.241 10.043
## 1493 Mauritius 2014 5.648 9.865
## 1494 Malawi 2013 4.035 6.907
## 1495 Panama 2014 6.631 10.217
## 1496 Colombia 2007 6.138 9.330
## 1497 Chile 2009 6.494 9.885
## 1498 Switzerland 2015 7.572 11.100
## 1499 China 2006 4.560 8.696
## 1500 China 2015 5.304 9.449
## 1501 Ireland 2016 7.041 11.199
## 1502 Luxembourg 2010 7.097 11.592
## 1503 Argentina 2017 6.039 10.067
## 1504 Chile 2010 6.636 9.931
## 1505 Dominican Republic 2011 5.397 9.475
## 1506 Chile 2019 5.942 10.095
## 1507 Peru 2018 5.680 9.456
## 1508 Bolivia 2014 5.865 8.953
## 1509 Paraguay 2011 5.677 9.278
## 1510 Nicaragua 2007 4.944 8.434
## 1511 Mexico 2020 5.964 9.782
## 1512 Bhutan 2015 5.082 9.219
## 1513 Namibia 2007 4.886 9.059
## 1514 Thailand 2014 6.985 9.672
## 1515 Nigeria 2012 5.493 8.543
## 1516 Ireland 2018 6.962 11.332
## 1517 Australia 2012 7.196 10.754
## 1518 France 2014 6.467 10.674
## 1519 Venezuela 2014 6.136 9.557
## 1520 Peru 2009 5.519 9.145
## 1521 Ecuador 2019 5.809 9.339
## 1522 Indonesia 2007 5.101 8.898
## 1523 South Africa 2018 4.884 9.444
## 1524 Madagascar 2016 3.663 7.356
## 1525 Belgium 2007 7.219 10.792
## 1526 Belgium 2008 7.117 10.789
## 1527 Nicaragua 2014 6.275 8.602
## 1528 Philippines 2014 5.313 8.850
## 1529 Cambodia 2015 4.162 8.173
## 1530 Taiwan Province of China 2006 6.189 10.613
## 1531 Thailand 2006 5.885 9.461
## 1532 Sweden 2017 7.287 10.873
## 1533 Switzerland 2009 7.525 11.055
## 1534 Kenya 2014 4.905 8.219
## 1535 Ireland 2013 6.760 10.884
## 1536 United States 2013 7.249 10.939
## 1537 United States 2015 6.864 10.977
## 1538 Bahrain 2017 6.227 10.771
## 1539 El Salvador 2010 6.740 8.900
## 1540 Austria 2010 7.303 10.861
## 1541 Sweden 2011 7.382 10.814
## 1542 Malaysia 2008 5.807 9.909
## 1543 Luxembourg 2012 6.964 11.567
## 1544 United States 2019 6.944 11.043
## 1545 Chile 2012 6.599 10.023
## 1546 United States 2018 6.883 11.025
## 1547 Chile 2020 6.151 10.020
## 1548 New Zealand 2019 7.205 10.666
## 1549 Australia 2011 7.406 10.733
## 1550 Malawi 2012 4.279 6.885
## 1551 Sweden 2016 7.369 10.861
## 1552 Thailand 2017 5.939 9.765
## 1553 Mexico 2007 6.525 9.825
## 1554 Paraguay 2006 4.730 9.088
## 1555 Niger 2019 5.004 7.106
## 1556 Honduras 2011 4.961 8.508
## 1557 Sri Lanka 2019 4.213 9.479
## 1558 China 2008 4.846 8.911
## 1559 China 2007 4.863 8.824
## 1560 New Zealand 2017 7.327 10.633
## 1561 Trinidad and Tobago 2008 6.696 10.295
## 1562 Brazil 2010 6.837 9.607
## 1563 Honduras 2013 4.713 8.540
## 1564 Sweden 2015 7.289 10.853
## 1565 Netherlands 2007 7.452 10.881
## 1566 Denmark 2020 7.515 10.910
## 1567 Brazil 2013 7.140 9.668
## 1568 Guatemala 2006 5.901 8.850
## 1569 Brazil 2005 6.637 9.438
## 1570 Somaliland region 2009 4.991 NA
## 1571 Kenya 2010 4.256 8.111
## 1572 Thailand 2008 5.636 9.520
## 1573 Panama 2008 6.931 9.935
## 1574 Australia 2013 7.364 10.762
## 1575 United Kingdom 2008 6.986 10.689
## 1576 Guatemala 2007 6.330 8.891
## 1577 Venezuela 2005 7.170 9.313
## 1578 China 2011 5.037 9.179
## 1579 Panama 2007 6.894 9.859
## 1580 Sweden 2009 7.266 10.740
## 1581 Mauritania 2015 3.923 8.542
## 1582 Mexico 2005 6.581 9.788
## 1583 Belgium 2012 6.935 10.784
## 1584 Brazil 2008 6.691 9.555
## 1585 South Africa 2020 4.947 9.332
## 1586 Honduras 2014 5.056 8.552
## 1587 Argentina 2018 5.793 10.032
## 1588 Cambodia 2012 3.899 8.014
## 1589 Peru 2019 5.999 9.461
## 1590 Kuwait 2012 6.221 11.025
## 1591 Taiwan Province of China 2012 6.126 10.716
## 1592 China 2012 5.095 9.249
## 1593 Denmark 2018 7.649 10.935
## 1594 Switzerland 2006 7.473 11.050
## 1595 China 2017 5.099 9.571
## 1596 Swaziland 2011 4.867 8.940
## 1597 Philippines 2016 5.431 8.950
## 1598 Austria 2012 7.401 10.889
## 1599 Malaysia 2009 5.385 9.875
## 1600 Canada 2019 7.109 10.800
## 1601 Colombia 2019 6.350 9.598
## 1602 Peru 2016 5.701 9.426
## 1603 Laos 2020 5.284 8.960
## 1604 Sweden 2018 7.375 10.881
## 1605 Sri Lanka 2010 3.977 9.119
## 1606 Austria 2006 7.122 10.842
## 1607 Switzerland 2014 7.493 11.098
## 1608 Norway 2019 7.442 11.061
## 1609 Norway 2012 7.678 11.017
## 1610 Norway 2020 7.290 11.042
## 1611 Argentina 2008 5.961 10.048
## 1612 Singapore 2016 6.033 11.419
## 1613 Malaysia 2018 5.339 10.223
## 1614 Denmark 2017 7.594 10.916
## 1615 Swaziland 2018 4.212 9.060
## 1616 Canada 2018 7.175 10.798
## 1617 Sri Lanka 2011 4.181 9.193
## 1618 Venezuela 2009 7.189 9.542
## 1619 Mexico 2008 6.829 9.821
## 1620 Uzbekistan 2018 6.205 8.818
## 1621 Canada 2016 7.245 10.773
## 1622 Indonesia 2006 4.947 8.850
## 1623 Colombia 2018 5.984 9.579
## 1624 Argentina 2006 6.313 9.942
## 1625 Ecuador 2006 5.024 9.186
## 1626 Nigeria 2007 4.890 8.364
## 1627 China 2016 5.325 9.510
## 1628 Sweden 2019 7.398 10.882
## 1629 Australia 2007 7.285 10.703
## 1630 Australia 2008 7.254 10.719
## 1631 Ecuador 2010 5.838 9.244
## 1632 Uruguay 2013 6.444 9.904
## 1633 Argentina 2019 6.086 10.000
## 1634 El Salvador 2015 6.018 9.005
## 1635 Taiwan Province of China 2011 6.309 10.705
## 1636 Japan 2010 6.057 10.532
## 1637 Norway 2018 7.444 11.056
## 1638 United States 2006 7.182 10.924
## 1639 United States 2017 6.992 11.001
## 1640 Denmark 2007 7.834 10.891
## 1641 Venezuela 2011 6.580 9.822
## 1642 Belgium 2010 6.854 10.779
## 1643 Argentina 2007 6.073 10.018
## 1644 El Salvador 2013 6.325 8.974
## 1645 Sweden 2013 7.434 10.804
## 1646 Laos 2008 5.044 8.366
## 1647 Denmark 2015 7.514 10.878
## 1648 United States 2007 7.513 10.933
## 1649 Guatemala 2009 6.452 8.891
## 1650 Cyprus 2006 6.238 10.566
## 1651 Ecuador 2017 5.840 9.360
## 1652 Colombia 2010 6.408 9.384
## 1653 Sri Lanka 2018 4.435 9.462
## 1654 El Salvador 2012 5.934 8.956
## 1655 Taiwan Province of China 2015 6.450 10.842
## 1656 Austria 2008 7.181 10.887
## 1657 Thailand 2007 5.784 9.508
## 1658 Paraguay 2009 5.576 9.158
## 1659 Malaysia 2010 5.580 9.930
## 1660 Norway 2006 7.416 11.031
## 1661 Finland 2010 7.393 10.734
## 1662 Denmark 2014 7.508 10.862
## 1663 Colombia 2011 6.464 9.442
## 1664 Czech Republic 2020 6.897 10.530
## 1665 Honduras 2016 5.648 8.593
## 1666 Philippines 2006 4.670 8.562
## 1667 Taiwan Province of China 2016 6.513 10.855
## 1668 Sweden 2010 7.496 10.790
## 1669 Zambia 2011 4.999 8.071
## 1670 New Zealand 2016 7.226 10.623
## 1671 Ireland 2017 7.060 11.266
## 1672 Panama 2017 6.568 10.324
## 1673 Canada 2014 7.304 10.775
## 1674 Brazil 2009 7.001 9.544
## 1675 Chile 2018 6.436 10.097
## 1676 Ecuador 2007 4.996 9.191
## 1677 Trinidad and Tobago 2013 6.168 10.285
## 1678 Indonesia 2016 5.136 9.262
## 1679 New Zealand 2015 7.418 10.608
## 1680 Malaysia 2019 5.428 10.252
## 1681 Norway 2014 7.444 11.024
## 1682 Netherlands 2015 7.324 10.882
## 1683 Somalia 2014 5.528 NA
## 1684 Australia 2010 7.450 10.722
## 1685 Guatemala 2008 6.414 8.904
## 1686 United States 2012 7.026 10.928
## 1687 United States 2014 7.151 10.956
## 1688 New Zealand 2013 7.280 10.571
## 1689 Thailand 2016 6.074 9.729
## 1690 Belgium 2011 7.111 10.783
## 1691 Ireland 2012 6.965 10.876
## 1692 Guatemala 2014 6.536 8.980
## 1693 Nicaragua 2019 6.113 8.595
## 1694 China 2013 5.241 9.319
## 1695 Iceland 2019 7.533 10.931
## 1696 Luxembourg 2011 7.101 11.595
## 1697 Denmark 2016 7.558 10.903
## 1698 Sweden 2014 7.239 10.820
## 1699 Jamaica 2011 5.374 9.164
## 1700 United States 2011 7.115 10.913
## 1701 Uruguay 2017 6.336 9.968
## 1702 Taiwan Province of China 2017 6.359 10.871
## 1703 Paraguay 2012 5.820 9.259
## 1704 Indonesia 2010 5.457 9.022
## 1705 Costa Rica 2014 7.247 9.775
## 1706 Colombia 2017 6.157 9.569
## 1707 El Salvador 2014 5.857 8.986
## 1708 Netherlands 2016 7.541 10.899
## 1709 Netherlands 2019 7.425 10.953
## 1710 Gambia 2017 4.118 7.637
## 1711 Chile 2017 6.320 10.072
## 1712 Uzbekistan 2017 6.421 8.782
## 1713 Canada 2005 7.418 10.652
## 1714 Nicaragua 2013 5.772 8.569
## 1715 Colombia 2015 6.388 9.564
## 1716 El Salvador 2020 5.462 9.019
## 1717 Cambodia 2016 4.461 8.225
## 1718 Uzbekistan 2015 5.972 8.714
## 1719 Sweden 2005 7.376 10.739
## 1720 Mexico 2010 6.802 9.788
## 1721 Argentina 2011 6.776 10.112
## 1722 Venezuela 2013 6.553 9.739
## 1723 Ecuador 2009 6.022 9.225
## 1724 Singapore 2014 7.062 11.383
## 1725 Uzbekistan 2016 5.893 8.756
## 1726 El Salvador 2008 5.191 8.908
## 1727 Honduras 2017 6.020 8.624
## 1728 Argentina 2013 6.582 10.103
## 1729 Uruguay 2016 6.171 9.946
## 1730 Argentina 2016 6.427 10.051
## 1731 Sri Lanka 2014 4.268 9.344
## 1732 Thailand 2018 6.012 9.803
## 1733 Thailand 2019 6.022 9.824
## 1734 Norway 2015 7.603 11.033
## 1735 Mexico 2017 6.410 9.893
## 1736 Australia 2005 7.341 10.659
## 1737 United States 2009 7.158 10.888
## 1738 Colombia 2009 6.272 9.351
## 1739 Ecuador 2008 5.297 9.236
## 1740 United Kingdom 2011 6.869 10.657
## 1741 United Kingdom 2012 6.881 10.664
## 1742 Costa Rica 2008 6.851 9.662
## 1743 Guatemala 2011 5.743 8.923
## 1744 Cambodia 2019 4.998 8.387
## 1745 Taiwan Province of China 2020 6.751 NA
## 1746 Taiwan Province of China 2010 6.229 10.691
## 1747 New Zealand 2018 7.370 10.660
## 1748 Uzbekistan 2019 6.154 8.853
## 1749 Panama 2006 6.128 9.764
## 1750 Canada 2015 7.413 10.774
## 1751 Cambodia 2018 5.122 8.333
## 1752 Taiwan Province of China 2013 6.340 10.750
## 1753 Thailand 2013 6.231 9.667
## 1754 Kuwait 2006 6.076 11.228
## 1755 Argentina 2010 6.441 10.066
## 1756 United Kingdom 2009 6.907 10.638
## 1757 Trinidad and Tobago 2017 6.192 10.183
## 1758 Colombia 2012 6.375 9.471
## 1759 Guatemala 2017 6.325 9.026
## 1760 Philippines 2009 4.880 8.632
## 1761 Guatemala 2016 6.359 9.013
## 1762 Ecuador 2016 6.115 9.355
## 1763 New Zealand 2010 7.224 10.520
## 1764 Colombia 2014 6.449 9.546
## 1765 Honduras 2012 4.602 8.530
## 1766 Ecuador 2012 5.961 9.344
## 1767 Taiwan Province of China 2018 6.467 NA
## 1768 New Zealand 2014 7.306 10.592
## 1769 Sri Lanka 2015 4.612 9.383
## 1770 Costa Rica 2019 6.998 9.885
## 1771 Taiwan Province of China 2014 6.363 10.798
## 1772 Iceland 2015 7.498 10.854
## 1773 Mexico 2009 6.963 9.752
## 1774 Norway 2017 7.579 11.050
## 1775 New Zealand 2020 7.257 10.600
## 1776 Paraguay 2008 5.570 9.174
## 1777 El Salvador 2017 6.339 9.042
## 1778 Norway 2016 7.596 11.035
## 1779 Guatemala 2010 6.290 8.901
## 1780 El Salvador 2009 6.839 8.883
## 1781 Costa Rica 2013 7.158 9.751
## 1782 Honduras 2019 5.930 8.653
## 1783 Costa Rica 2015 6.854 9.799
## 1784 Nicaragua 2017 6.476 8.700
## 1785 Canada 2013 7.594 10.757
## 1786 Ecuador 2013 6.019 9.377
## 1787 Colombia 2013 6.607 9.512
## 1788 Guatemala 2015 6.465 9.003
## 1789 Ecuador 2015 5.964 9.384
## 1790 Philippines 2011 4.994 8.707
## 1791 Netherlands 2017 7.459 10.921
## 1792 Indonesia 2014 5.597 9.190
## 1793 Laos 2018 4.859 8.935
## 1794 Netherlands 2010 7.502 10.864
## 1795 China 2014 5.196 9.386
## 1796 New Zealand 2008 7.381 10.528
## 1797 New Zealand 2007 7.604 10.546
## 1798 Thailand 2012 6.300 9.645
## 1799 Sweden 2012 7.560 10.800
## 1800 Paraguay 2010 5.841 9.250
## 1801 Chile 2013 6.740 10.053
## 1802 China 2018 5.131 9.632
## 1803 Canada 2012 7.415 10.744
## 1804 Argentina 2014 6.671 10.067
## 1805 Argentina 2012 6.468 10.091
## 1806 Myanmar 2014 4.786 8.299
## 1807 Honduras 2006 5.397 8.462
## 1808 Venezuela 2012 7.067 9.826
## 1809 Panama 2016 6.118 10.287
## 1810 Paraguay 2019 5.653 9.448
## 1811 Switzerland 2012 7.776 11.079
## 1812 Venezuela 2006 6.525 9.460
## 1813 Mexico 2016 6.824 9.884
## 1814 Brazil 2007 6.321 9.515
## 1815 Argentina 2015 6.697 10.083
## 1816 Ecuador 2014 5.946 9.399
## 1817 Guatemala 2019 6.262 9.064
## 1818 Bhutan 2014 4.939 9.167
## 1819 Taiwan Province of China 2019 6.537 NA
## 1820 Denmark 2005 8.019 10.851
## 1821 Sri Lanka 2013 4.365 9.305
## 1822 El Salvador 2018 6.241 9.061
## 1823 Laos 2007 5.364 8.307
## 1824 Netherlands 2012 7.471 10.861
## 1825 United States 2010 7.164 10.905
## 1826 Venezuela 2010 7.478 9.717
## 1827 Denmark 2019 7.693 10.954
## 1828 Denmark 2013 7.589 10.851
## 1829 Netherlands 2018 7.463 10.941
## 1830 Ireland 2009 7.046 10.866
## 1831 Ecuador 2011 5.795 9.304
## 1832 Iceland 2020 7.575 10.824
## 1833 United Kingdom 2010 7.029 10.649
## 1834 Netherlands 2011 7.564 10.875
## 1835 Canada 2017 7.415 10.792
## 1836 Honduras 2015 4.845 8.572
## 1837 Indonesia 2017 5.098 9.300
## 1838 Guatemala 2012 5.856 8.935
## 1839 Sri Lanka 2012 4.225 9.279
## 1840 New Zealand 2011 7.191 10.536
## 1841 El Salvador 2006 5.701 8.873
## 1842 Argentina 2009 6.424 9.977
## 1843 Mexico 2019 6.432 9.891
## 1844 United Kingdom 2005 6.984 10.663
## 1845 Indonesia 2011 5.173 9.069
## 1846 Indonesia 2018 5.340 9.339
## 1847 Ireland 2011 7.007 10.878
## 1848 Indonesia 2009 5.472 8.975
## 1849 Philippines 2012 5.002 8.756
## 1850 New Zealand 2012 7.250 10.553
## 1851 Paraguay 2015 5.560 9.377
## 1852 Myanmar 2015 4.224 8.359
## 1853 Malaysia 2012 5.914 10.005
## 1854 Paraguay 2007 5.272 9.126
## 1855 Venezuela 2015 5.569 9.001
## 1856 Netherlands 2013 7.407 10.857
## 1857 Canada 2009 7.488 10.697
## 1858 Guatemala 2013 5.985 8.953
## 1859 Netherlands 2014 7.321 10.867
## 1860 Costa Rica 2006 7.082 9.565
## 1861 Panama 2012 6.860 10.135
## 1862 El Salvador 2007 5.296 8.887
## 1863 Panama 2013 6.866 10.184
## 1864 Netherlands 2005 7.464 10.814
## 1865 Uruguay 2014 6.561 9.932
## 1866 Chile 2016 6.579 10.074
## 1867 Iceland 2013 7.501 10.809
## 1868 Chile 2014 6.844 10.059
## 1869 Costa Rica 2018 7.141 9.874
## 1870 Guatemala 2018 6.627 9.042
## 1871 El Salvador 2019 6.455 9.080
## 1872 United States 2008 7.280 10.922
## 1873 Canada 2007 7.482 10.739
## 1874 Honduras 2018 5.908 8.643
## 1875 Laos 2017 4.623 8.890
## 1876 Iceland 2016 7.510 10.904
## 1877 Costa Rica 2017 7.225 9.858
## 1878 Costa Rica 2016 7.136 9.830
## 1879 Ireland 2008 7.568 10.929
## 1880 Costa Rica 2007 7.432 9.630
## 1881 El Salvador 2011 4.741 8.933
## 1882 Ireland 2010 7.257 10.879
## 1883 Costa Rica 2009 7.615 9.639
## 1884 Costa Rica 2011 7.229 9.705
## 1885 Indonesia 2015 5.043 9.225
## 1886 Philippines 2010 4.942 8.686
## 1887 Ecuador 2018 6.128 9.355
## 1888 Uruguay 2018 6.372 9.980
## 1889 Indonesia 2019 5.347 9.377
## 1890 Ireland 2006 7.144 10.972
## 1891 Panama 2019 6.086 10.356
## 1892 Laos 2019 5.197 8.965
## 1893 Cambodia 2020 4.377 8.362
## 1894 Canada 2010 7.650 10.717
## 1895 Iceland 2008 6.888 10.861
## 1896 New Zealand 2006 7.305 10.526
## 1897 Canada 2011 7.426 10.738
## 1898 Mexico 2018 6.550 9.903
## 1899 Panama 2009 7.034 9.930
## 1900 Panama 2018 6.281 10.343
## 1901 Panama 2011 7.248 10.059
## 1902 Laos 2006 5.076 8.251
## 1903 Costa Rica 2010 7.271 9.675
## 1904 Malaysia 2011 5.786 9.966
## 1905 Panama 2010 7.321 9.969
## 1906 Uruguay 2019 6.600 9.979
## 1907 Canada 2008 7.486 10.738
## 1908 China 2019 5.144 9.688
## 1909 Somalia 2016 4.668 NA
## 1910 Indonesia 2013 5.292 9.155
## 1911 Uruguay 2015 6.628 9.932
## 1912 Iceland 2017 7.476 10.925
## 1913 Indonesia 2012 5.368 9.114
## 1914 Costa Rica 2012 7.272 9.740
## 1915 Thailand 2009 5.476 9.508
## 1916 Iceland 2012 7.591 10.777
## 1917 Laos 2011 4.704 8.548
## 1918 Thailand 2010 6.217 9.576
## 1919 Somalia 2015 5.354 NA
## 1920 Paraguay 2017 5.713 9.441
## 1921 Trinidad and Tobago 2011 6.519 10.263
## 1922 Thailand 2015 6.202 9.699
## 1923 Laos 2012 4.876 8.611
## 1924 Paraguay 2013 5.936 9.326
## 1925 Paraguay 2016 5.801 9.406
## 1926 Thailand 2011 6.664 9.579
## 1927 Paraguay 2014 5.119 9.360
## 1928 Bangladesh 2014 4.636 8.164
## 1929 Pakistan 2005 5.225 8.218
## 1930 Belarus 2008 5.463 9.677
## 1931 United Arab Emirates 2013 6.621 11.001
## 1932 Oman 2011 6.853 10.382
## 1933 Kosovo 2008 5.522 8.981
## 1934 Cambodia 2007 4.156 7.829
## 1935 Iraq 2013 4.725 9.280
## 1936 Algeria 2010 5.464 9.287
## 1937 Bahrain 2014 6.165 10.783
## 1938 Djibouti 2010 5.006 7.812
## 1939 Jordan 2018 4.639 9.196
## 1940 Jordan 2019 4.453 9.201
## 1941 Jordan 2020 4.094 9.150
## 1942 Kuwait 2014 6.180 10.945
## 1943 Maldives 2018 5.198 9.826
## 1944 Morocco 2010 4.383 8.746
## 1945 Qatar 2010 6.850 11.520
## 1946 Qatar 2015 6.375 11.486
## 1947 Tunisia 2009 5.025 9.197
## 1948 United Arab Emirates 2014 6.540 11.041
## 1949 Vietnam 2017 5.175 8.876
## Social.support Healthy.life.expectancy.at.birth
## 1 0.866 67.600
## 2 0.420 52.400
## 3 0.291 50.180
## 4 0.464 55.200
## 5 0.857 67.600
## 6 0.585 58.760
## 7 0.717 66.600
## 8 0.792 67.200
## 9 0.730 59.120
## 10 0.508 52.600
## 11 0.548 65.040
## 12 0.647 65.120
## 13 0.847 66.800
## 14 0.291 49.020
## 15 0.608 64.960
## 16 0.782 44.320
## 17 0.905 66.100
## 18 0.876 66.400
## 19 0.790 55.900
## 20 0.851 65.600
## 21 0.789 56.700
## 22 0.714 46.060
## 23 0.829 67.100
## 24 0.588 60.540
## 25 0.880 66.000
## 26 0.775 55.100
## 27 0.736 56.160
## 28 0.882 64.500
## 29 0.705 65.360
## 30 0.837 NA
## 31 0.303 51.580
## 32 0.904 75.020
## 33 0.863 65.360
## 34 0.751 59.360
## 35 0.719 59.000
## 36 0.684 58.400
## 37 0.733 49.340
## 38 0.544 64.880
## 39 0.759 61.700
## 40 0.803 NA
## 41 0.682 64.800
## 42 0.816 67.000
## 43 0.491 52.800
## 44 0.818 61.780
## 45 0.783 66.840
## 46 0.713 65.360
## 47 0.708 65.440
## 48 0.866 74.500
## 49 0.540 64.800
## 50 0.682 54.300
## 51 0.800 65.303
## 52 0.663 54.300
## 53 0.680 65.820
## 54 0.561 40.300
## 55 0.638 53.700
## 56 0.695 59.600
## 57 0.669 54.300
## 58 0.760 64.900
## 59 0.903 68.600
## 60 0.982 62.600
## 61 0.818 56.220
## 62 0.733 56.840
## 63 0.884 67.800
## 64 0.660 65.200
## 65 0.854 61.880
## 66 0.884 62.200
## 67 0.611 52.400
## 68 0.812 43.900
## 69 0.819 66.520
## 70 0.777 66.600
## 71 0.503 64.860
## 72 0.929 67.300
## 73 0.648 65.640
## 74 0.772 62.000
## 75 0.773 66.700
## 76 0.451 50.800
## 77 0.676 65.520
## 78 0.881 68.300
## 79 0.910 62.880
## 80 0.753 62.260
## 81 0.614 65.460
## 82 0.908 61.800
## 83 0.709 65.000
## 84 0.708 45.160
## 85 0.902 63.460
## 86 0.483 42.700
## 87 0.727 48.180
## 88 0.862 58.960
## 89 0.387 43.080
## 90 0.807 64.240
## 91 0.721 65.200
## 92 0.744 58.320
## 93 0.933 64.160
## 94 0.687 63.400
## 95 0.673 45.740
## 96 0.717 64.960
## 97 0.737 60.320
## 98 0.736 65.080
## 99 0.753 60.160
## 100 0.828 66.680
## 101 0.788 66.860
## 102 0.898 66.660
## 103 0.526 52.880
## 104 0.726 66.200
## 105 0.914 63.820
## 106 0.860 65.800
## 107 0.656 66.900
## 108 0.591 42.100
## 109 0.895 67.400
## 110 0.876 67.500
## 111 0.725 63.640
## 112 0.733 46.380
## 113 0.772 64.600
## 114 0.549 58.300
## 115 0.673 64.800
## 116 0.768 63.500
## 117 0.648 45.980
## 118 0.829 57.520
## 119 0.736 67.580
## 120 0.638 61.400
## 121 0.610 67.200
## 122 0.900 65.800
## 123 0.811 55.120
## 124 0.706 64.300
## 125 0.854 59.600
## 126 0.870 57.500
## 127 0.753 65.420
## 128 0.619 60.640
## 129 0.748 60.200
## 130 0.680 65.100
## 131 0.708 53.280
## 132 0.736 63.020
## 133 0.767 66.820
## 134 0.770 66.000
## 135 0.738 62.132
## 136 0.908 66.580
## 137 0.734 45.100
## 138 0.744 50.780
## 139 0.773 66.360
## 140 0.843 65.700
## 141 0.517 65.100
## 142 0.812 64.960
## 143 0.853 64.720
## 144 0.779 66.780
## 145 0.810 64.660
## 146 0.936 70.800
## 147 0.670 52.900
## 148 0.675 60.480
## 149 0.650 50.800
## 150 0.821 65.800
## 151 0.828 66.100
## 152 0.584 55.300
## 153 0.674 66.000
## 154 0.577 48.200
## 155 0.927 65.500
## 156 0.762 63.880
## 157 0.529 53.200
## 158 0.554 32.300
## 159 0.740 65.640
## 160 0.646 44.620
## 161 0.820 62.600
## 162 0.934 64.100
## 163 0.694 54.300
## 164 0.753 53.200
## 165 0.533 64.920
## 166 0.759 65.520
## 167 0.853 68.200
## 168 0.822 51.660
## 169 0.641 65.600
## 170 0.851 65.120
## 171 0.649 63.300
## 172 0.856 61.120
## 173 0.723 65.680
## 174 0.836 64.860
## 175 0.533 64.900
## 176 0.622 54.960
## 177 0.666 51.200
## 178 0.829 65.300
## 179 0.559 53.000
## 180 0.775 NA
## 181 0.908 60.420
## 182 0.724 60.640
## 183 0.908 62.000
## 184 0.918 67.900
## 185 0.712 61.897
## 186 0.918 62.300
## 187 0.769 60.000
## 188 0.687 64.502
## 189 0.685 58.500
## 190 0.751 NA
## 191 0.742 65.600
## 192 0.869 61.620
## 193 0.826 61.940
## 194 0.532 40.900
## 195 0.713 63.800
## 196 0.571 44.140
## 197 0.898 62.800
## 198 0.558 65.040
## 199 0.813 58.700
## 200 0.911 64.700
## 201 0.869 45.580
## 202 0.881 58.820
## 203 0.804 60.760
## 204 0.816 62.400
## 205 0.666 62.015
## 206 0.735 66.480
## 207 0.860 61.160
## 208 0.838 65.900
## 209 0.617 64.500
## 210 0.555 52.200
## 211 0.609 66.000
## 212 0.647 55.500
## 213 0.909 63.700
## 214 0.842 64.000
## 215 0.704 67.420
## 216 0.725 58.640
## 217 0.936 67.100
## 218 0.562 57.300
## 219 0.813 54.560
## 220 0.815 65.474
## 221 0.844 65.600
## 222 0.734 64.349
## 223 0.684 62.640
## 224 0.733 65.280
## 225 0.832 64.942
## 226 0.582 64.140
## 227 0.633 54.700
## 228 0.710 50.240
## 229 0.832 66.200
## 230 0.705 52.400
## 231 0.755 54.600
## 232 0.290 44.900
## 233 0.724 43.180
## 234 0.740 67.900
## 235 0.590 64.700
## 236 0.831 64.300
## 237 0.919 64.900
## 238 0.913 65.100
## 239 0.812 71.620
## 240 0.739 65.840
## 241 0.617 58.900
## 242 0.814 66.900
## 243 0.803 62.260
## 244 0.892 65.000
## 245 0.910 70.200
## 246 0.686 41.200
## 247 0.727 54.300
## 248 0.739 65.300
## 249 0.616 47.200
## 250 0.757 66.600
## 251 0.845 61.680
## 252 0.815 66.340
## 253 0.523 52.260
## 254 0.805 62.580
## 255 0.756 54.000
## 256 0.444 53.020
## 257 0.946 60.280
## 258 0.924 65.200
## 259 0.552 51.200
## 260 0.847 61.300
## 261 0.872 60.940
## 262 0.796 64.600
## 263 0.382 50.900
## 264 0.538 55.700
## 265 0.657 47.600
## 266 0.913 66.800
## 267 0.803 66.100
## 268 0.619 49.960
## 269 0.552 57.080
## 270 0.785 53.400
## 271 0.719 67.500
## 272 0.920 59.280
## 273 0.818 54.280
## 274 0.690 58.100
## 275 0.910 67.120
## 276 0.528 57.600
## 277 0.585 50.200
## 278 0.557 51.000
## 279 0.553 66.500
## 280 0.445 50.100
## 281 0.863 67.740
## 282 0.742 55.200
## 283 0.640 48.700
## 284 0.856 66.020
## 285 0.715 65.280
## 286 0.784 64.661
## 287 0.621 57.900
## 288 0.909 61.000
## 289 0.830 51.220
## 290 0.885 64.000
## 291 0.941 63.480
## 292 0.767 52.100
## 293 0.911 66.860
## 294 0.535 66.200
## 295 0.773 49.700
## 296 0.859 62.500
## 297 0.760 46.480
## 298 0.506 52.820
## 299 0.840 62.900
## 300 0.751 68.200
## 301 0.849 65.389
## 302 0.856 68.500
## 303 0.539 55.100
## 304 0.917 66.400
## 305 0.653 55.480
## 306 0.819 45.420
## 307 0.799 65.900
## 308 0.852 71.560
## 309 0.866 68.100
## 310 0.832 68.700
## 311 0.787 65.200
## 312 0.818 48.320
## 313 0.733 66.900
## 314 0.434 53.100
## 315 0.825 53.400
## 316 0.781 65.500
## 317 0.729 47.720
## 318 0.749 41.420
## 319 0.554 50.540
## 320 0.818 NA
## 321 0.882 59.840
## 322 0.832 65.100
## 323 0.877 63.400
## 324 0.938 66.100
## 325 0.761 NA
## 326 0.766 NA
## 327 0.709 66.300
## 328 0.723 66.000
## 329 0.559 64.980
## 330 0.827 51.600
## 331 0.929 65.500
## 332 0.686 55.720
## 333 0.805 67.100
## 334 0.757 NA
## 335 0.858 61.400
## 336 0.872 72.800
## 337 0.646 68.300
## 338 0.725 66.740
## 339 0.689 65.200
## 340 0.904 65.780
## 341 0.858 64.300
## 342 0.775 67.500
## 343 0.824 NA
## 344 0.830 NA
## 345 0.777 64.900
## 346 0.799 64.360
## 347 0.874 66.240
## 348 0.738 48.700
## 349 0.790 68.000
## 350 0.607 56.860
## 351 0.755 64.040
## 352 0.782 67.200
## 353 0.846 60.520
## 354 0.856 NA
## 355 0.655 57.300
## 356 0.479 53.500
## 357 0.673 62.300
## 358 0.576 62.320
## 359 0.697 47.140
## 360 0.672 59.020
## 361 0.567 50.660
## 362 0.698 66.300
## 363 0.652 49.200
## 364 0.883 61.420
## 365 0.914 68.240
## 366 0.938 72.200
## 367 0.864 74.800
## 368 0.700 50.440
## 369 0.811 64.095
## 370 0.663 63.800
## 371 0.524 56.200
## 372 0.753 72.200
## 373 0.852 69.000
## 374 0.818 67.260
## 375 0.887 68.900
## 376 0.667 45.780
## 377 0.839 64.820
## 378 0.675 64.300
## 379 0.889 72.640
## 380 0.509 53.900
## 381 0.676 61.960
## 382 0.918 61.100
## 383 0.750 65.560
## 384 0.764 60.200
## 385 0.701 61.520
## 386 0.642 56.100
## 387 0.690 45.980
## 388 0.759 48.300
## 389 0.855 60.820
## 390 0.786 64.600
## 391 0.796 67.900
## 392 0.785 66.960
## 393 0.751 46.700
## 394 0.926 66.700
## 395 0.879 65.900
## 396 0.679 40.380
## 397 0.596 54.700
## 398 0.493 53.500
## 399 0.766 62.000
## 400 0.923 64.040
## 401 0.813 NA
## 402 0.901 64.600
## 403 0.912 68.380
## 404 0.768 68.400
## 405 0.734 58.000
## 406 0.507 55.100
## 407 0.555 56.900
## 408 0.712 63.900
## 409 0.600 64.380
## 410 0.680 55.340
## 411 0.615 56.700
## 412 0.953 71.700
## 413 0.730 60.800
## 414 0.819 NA
## 415 0.901 61.840
## 416 0.895 58.680
## 417 0.521 51.920
## 418 0.638 54.300
## 419 0.718 64.100
## 420 0.809 61.100
## 421 0.984 62.200
## 422 0.719 55.340
## 423 0.878 65.000
## 424 0.702 66.300
## 425 0.766 66.040
## 426 0.694 48.460
## 427 0.594 49.140
## 428 0.942 66.600
## 429 0.776 54.920
## 430 0.479 43.660
## 431 0.742 51.860
## 432 0.786 60.000
## 433 0.798 69.000
## 434 0.645 63.680
## 435 0.508 54.300
## 436 0.545 49.840
## 437 0.320 45.200
## 438 0.775 66.820
## 439 0.928 70.800
## 440 0.435 49.260
## 441 0.436 53.900
## 442 0.532 50.600
## 443 0.764 52.900
## 444 0.782 NA
## 445 0.744 50.340
## 446 0.539 51.600
## 447 0.743 49.100
## 448 0.644 64.860
## 449 0.790 56.000
## 450 0.880 64.620
## 451 0.770 64.120
## 452 0.530 61.960
## 453 0.812 60.580
## 454 0.908 65.300
## 455 0.564 55.100
## 456 0.908 70.000
## 457 0.766 65.145
## 458 0.959 73.700
## 459 0.930 63.140
## 460 0.484 52.560
## 461 0.837 63.600
## 462 0.637 54.580
## 463 0.692 64.640
## 464 0.926 66.400
## 465 0.852 60.120
## 466 0.776 68.100
## 467 0.869 NA
## 468 0.792 60.540
## 469 0.885 59.260
## 470 0.778 49.900
## 471 0.895 66.500
## 472 0.807 73.300
## 473 0.829 66.000
## 474 0.756 46.200
## 475 0.879 44.800
## 476 0.816 66.800
## 477 0.633 63.140
## 478 0.567 36.860
## 479 0.903 74.100
## 480 0.833 NA
## 481 0.611 46.000
## 482 0.698 66.600
## 483 0.818 65.140
## 484 0.477 51.980
## 485 0.934 70.500
## 486 0.718 62.760
## 487 0.756 58.200
## 488 0.943 61.400
## 489 0.837 61.300
## 490 0.886 66.100
## 491 0.759 66.680
## 492 0.510 56.420
## 493 0.822 62.250
## 494 0.815 66.600
## 495 0.661 47.700
## 496 0.890 72.900
## 497 0.740 59.800
## 498 0.549 60.700
## 499 0.511 58.000
## 500 0.711 53.500
## 501 0.638 50.880
## 502 0.745 51.320
## 503 0.720 54.300
## 504 0.843 44.140
## 505 0.809 65.700
## 506 0.748 59.000
## 507 0.838 73.800
## 508 0.695 51.900
## 509 0.873 68.100
## 510 0.494 55.500
## 511 0.883 64.900
## 512 0.770 50.780
## 513 0.748 45.500
## 514 0.868 71.500
## 515 0.759 67.240
## 516 0.807 59.200
## 517 0.601 62.800
## 518 0.717 46.560
## 519 0.946 73.500
## 520 0.932 69.800
## 521 0.514 59.440
## 522 0.795 65.120
## 523 0.911 63.500
## 524 0.706 NA
## 525 0.820 60.640
## 526 0.929 61.400
## 527 0.918 62.700
## 528 0.712 56.900
## 529 0.643 54.500
## 530 0.880 72.440
## 531 0.861 67.640
## 532 0.779 56.700
## 533 0.917 67.040
## 534 0.793 65.053
## 535 0.663 47.580
## 536 0.554 65.900
## 537 0.964 60.040
## 538 0.924 66.800
## 539 0.855 63.880
## 540 0.871 65.225
## 541 0.522 55.800
## 542 0.917 72.240
## 543 0.831 NA
## 544 0.808 74.200
## 545 0.833 66.200
## 546 0.852 49.420
## 547 0.778 65.860
## 548 0.738 54.200
## 549 0.780 58.700
## 550 0.326 49.660
## 551 0.813 48.440
## 552 0.934 68.100
## 553 0.919 68.900
## 554 0.808 67.200
## 555 0.820 66.400
## 556 0.785 59.700
## 557 0.834 65.380
## 558 0.849 67.300
## 559 0.807 65.700
## 560 0.894 65.760
## 561 0.744 59.940
## 562 0.838 64.000
## 563 0.677 52.700
## 564 0.798 64.811
## 565 0.787 57.700
## 566 0.887 65.800
## 567 0.759 62.400
## 568 0.602 55.800
## 569 0.908 66.200
## 570 0.486 53.040
## 571 0.897 63.100
## 572 0.754 70.800
## 573 0.836 67.800
## 574 0.918 64.700
## 575 0.857 63.500
## 576 0.941 71.100
## 577 0.736 64.480
## 578 0.899 68.400
## 579 0.808 NA
## 580 0.708 61.400
## 581 0.887 65.100
## 582 0.899 64.460
## 583 0.880 64.400
## 584 0.739 64.880
## 585 0.625 58.500
## 586 0.572 65.100
## 587 0.864 52.500
## 588 0.889 67.220
## 589 0.904 72.400
## 590 0.970 68.440
## 591 0.711 47.400
## 592 0.504 54.300
## 593 0.553 57.700
## 594 0.741 57.100
## 595 0.830 50.400
## 596 0.733 66.400
## 597 0.627 57.700
## 598 0.678 53.200
## 599 0.875 72.800
## 600 0.561 60.500
## 601 0.935 61.100
## 602 0.793 71.300
## 603 0.900 72.200
## 604 0.913 73.600
## 605 0.885 61.100
## 606 0.607 47.880
## 607 0.696 50.960
## 608 0.768 72.700
## 609 0.861 58.700
## 610 0.909 66.960
## 611 0.845 66.240
## 612 0.771 47.420
## 613 0.775 70.200
## 614 0.646 50.300
## 615 0.571 56.200
## 616 0.792 63.320
## 617 0.881 65.640
## 618 0.931 69.400
## 619 0.936 68.000
## 620 0.906 65.920
## 621 0.795 64.400
## 622 0.941 72.080
## 623 0.906 61.700
## 624 0.738 72.440
## 625 0.942 73.800
## 626 0.942 62.300
## 627 0.917 66.200
## 628 0.884 63.160
## 629 0.753 66.080
## 630 0.833 60.260
## 631 0.844 59.980
## 632 0.910 64.860
## 633 0.848 NA
## 634 0.770 69.600
## 635 0.373 55.400
## 636 0.809 71.660
## 637 0.810 63.040
## 638 0.896 65.600
## 639 0.565 51.820
## 640 0.768 58.200
## 641 0.925 69.600
## 642 0.926 67.280
## 643 0.638 60.100
## 644 0.866 71.800
## 645 0.913 72.840
## 646 0.722 53.900
## 647 0.901 70.200
## 648 0.910 74.400
## 649 0.723 52.500
## 650 0.442 54.700
## 651 0.664 64.620
## 652 0.953 68.500
## 653 0.740 58.500
## 654 0.816 65.900
## 655 0.942 71.960
## 656 0.727 56.100
## 657 0.798 73.600
## 658 0.606 65.000
## 659 0.828 42.860
## 660 0.920 73.400
## 661 0.749 65.500
## 662 0.816 71.400
## 663 0.901 53.780
## 664 0.659 51.100
## 665 0.948 67.000
## 666 0.802 57.000
## 667 0.910 73.300
## 668 0.949 74.700
## 669 0.775 71.920
## 670 0.832 NA
## 671 0.901 65.400
## 672 0.704 47.700
## 673 0.570 56.820
## 674 0.805 66.180
## 675 0.903 72.520
## 676 0.542 56.640
## 677 0.686 59.820
## 678 0.896 65.320
## 679 0.900 66.800
## 680 0.794 72.400
## 681 0.920 66.800
## 682 0.485 53.400
## 683 0.722 55.020
## 684 0.579 51.100
## 685 0.659 55.200
## 686 0.891 72.600
## 687 0.569 56.140
## 688 0.647 56.400
## 689 0.685 55.300
## 690 0.754 54.900
## 691 0.896 49.540
## 692 0.872 58.200
## 693 0.855 54.000
## 694 0.823 59.500
## 695 0.766 64.220
## 696 0.638 68.400
## 697 0.554 44.880
## 698 0.528 60.280
## 699 0.890 74.000
## 700 0.869 72.880
## 701 0.728 52.340
## 702 0.917 69.200
## 703 0.629 54.360
## 704 0.779 59.200
## 705 0.845 56.800
## 706 0.909 64.300
## 707 0.836 63.520
## 708 0.756 54.740
## 709 0.889 61.760
## 710 0.859 56.020
## 711 0.684 56.560
## 712 0.916 73.100
## 713 0.679 50.100
## 714 0.839 59.200
## 715 0.924 62.100
## 716 0.930 64.600
## 717 0.638 68.100
## 718 0.683 52.500
## 719 0.797 72.180
## 720 0.941 67.600
## 721 0.811 73.000
## 722 0.878 52.860
## 723 0.701 62.880
## 724 0.882 68.900
## 725 0.542 50.440
## 726 0.559 54.620
## 727 0.753 51.480
## 728 0.878 68.660
## 729 0.882 51.220
## 730 0.894 66.580
## 731 0.954 66.000
## 732 0.893 59.700
## 733 0.924 63.100
## 734 0.832 53.780
## 735 0.949 71.400
## 736 0.710 69.300
## 737 0.928 71.900
## 738 0.887 72.400
## 739 0.882 72.400
## 740 0.823 57.480
## 741 0.881 62.260
## 742 0.917 67.740
## 743 0.553 58.300
## 744 0.919 72.200
## 745 0.823 49.120
## 746 0.891 61.520
## 747 0.760 49.500
## 748 0.686 69.000
## 749 0.821 53.680
## 750 0.747 47.160
## 751 0.888 65.860
## 752 0.713 52.000
## 753 0.746 57.600
## 754 0.607 59.700
## 755 0.621 49.500
## 756 0.841 63.980
## 757 0.738 59.880
## 758 0.479 55.000
## 759 0.966 65.800
## 760 0.783 73.900
## 761 0.834 NA
## 762 0.840 65.600
## 763 0.779 72.800
## 764 0.905 72.000
## 765 0.787 66.500
## 766 0.606 61.120
## 767 0.626 67.520
## 768 0.927 73.200
## 769 0.744 54.800
## 770 0.740 55.700
## 771 0.877 66.300
## 772 0.655 55.500
## 773 0.730 52.780
## 774 0.768 57.500
## 775 0.740 58.500
## 776 0.935 75.000
## 777 0.707 55.720
## 778 0.688 45.720
## 779 0.676 64.100
## 780 0.930 72.200
## 781 0.675 52.200
## 782 0.566 65.400
## 783 0.932 62.680
## 784 0.883 46.820
## 785 0.885 65.200
## 786 0.845 66.300
## 787 0.639 67.800
## 788 0.902 66.100
## 789 0.919 60.800
## 790 0.422 50.680
## 791 0.844 63.200
## 792 0.687 71.680
## 793 0.866 52.900
## 794 0.673 56.640
## 795 0.827 70.500
## 796 0.917 67.100
## 797 0.687 56.000
## 798 0.830 66.200
## 799 0.691 53.800
## 800 0.856 61.940
## 801 0.910 64.700
## 802 0.676 55.240
## 803 0.767 56.300
## 804 0.683 54.400
## 805 0.904 60.200
## 806 0.948 60.500
## 807 0.832 67.900
## 808 0.721 NA
## 809 0.798 57.300
## 810 0.837 70.500
## 811 0.853 66.500
## 812 0.706 53.060
## 813 0.909 73.000
## 814 0.831 66.800
## 815 0.937 64.600
## 816 0.613 50.700
## 817 0.805 56.100
## 818 0.763 60.200
## 819 0.727 61.080
## 820 0.947 61.900
## 821 0.638 56.500
## 822 0.809 66.600
## 823 0.714 65.700
## 824 0.708 NA
## 825 0.905 60.720
## 826 0.909 60.760
## 827 0.875 64.100
## 828 0.842 66.900
## 829 0.855 62.660
## 830 0.937 72.080
## 831 0.614 59.300
## 832 0.832 71.740
## 833 0.759 NA
## 834 0.920 63.500
## 835 0.651 55.620
## 836 0.927 71.120
## 837 0.868 71.440
## 838 0.929 73.260
## 839 0.811 71.100
## 840 0.842 67.500
## 841 0.864 72.700
## 842 0.605 57.400
## 843 0.908 71.600
## 844 0.823 62.300
## 845 0.875 65.340
## 846 0.751 62.560
## 847 0.856 55.240
## 848 0.909 67.520
## 849 0.661 48.900
## 850 0.909 72.580
## 851 0.779 63.300
## 852 0.741 59.400
## 853 0.800 56.500
## 854 0.921 73.900
## 855 0.818 49.920
## 856 0.867 71.400
## 857 0.798 44.260
## 858 0.931 65.000
## 859 0.792 67.140
## 860 0.598 50.220
## 861 0.610 58.900
## 862 0.803 72.000
## 863 0.928 63.400
## 864 0.711 54.040
## 865 0.777 58.300
## 866 0.901 67.480
## 867 0.577 52.540
## 868 0.791 NA
## 869 0.637 57.440
## 870 0.886 75.000
## 871 0.669 56.800
## 872 0.924 67.760
## 873 0.886 70.320
## 874 0.717 56.800
## 875 0.718 55.300
## 876 0.747 54.500
## 877 0.740 55.300
## 878 0.824 NA
## 879 0.512 54.480
## 880 0.868 62.300
## 881 0.617 48.300
## 882 0.634 53.300
## 883 0.909 50.220
## 884 0.960 61.000
## 885 0.818 65.200
## 886 0.862 71.600
## 887 0.726 47.120
## 888 0.916 67.200
## 889 0.877 66.080
## 890 0.824 62.300
## 891 0.946 62.500
## 892 0.831 56.620
## 893 0.859 66.400
## 894 0.922 72.200
## 895 0.845 47.460
## 896 0.838 65.860
## 897 0.830 50.200
## 898 0.905 69.840
## 899 0.827 62.300
## 900 0.871 NA
## 901 0.857 NA
## 902 0.896 63.900
## 903 0.823 64.040
## 904 0.775 55.600
## 905 0.521 52.240
## 906 0.876 72.600
## 907 0.859 71.760
## 908 0.702 58.400
## 909 0.621 58.600
## 910 0.665 53.900
## 911 0.904 60.200
## 912 0.799 50.960
## 913 0.774 59.600
## 914 0.755 52.200
## 915 0.655 65.300
## 916 0.643 58.000
## 917 0.613 51.420
## 918 0.684 68.700
## 919 0.929 70.300
## 920 0.582 61.540
## 921 0.894 62.320
## 922 0.729 62.720
## 923 0.718 54.060
## 924 0.928 67.400
## 925 0.626 57.000
## 926 0.739 59.600
## 927 0.943 68.000
## 928 0.893 64.900
## 929 0.787 66.300
## 930 0.736 53.800
## 931 0.826 NA
## 932 0.867 64.800
## 933 0.734 50.100
## 934 0.705 57.000
## 935 0.922 66.300
## 936 0.822 41.580
## 937 0.916 71.380
## 938 0.759 56.200
## 939 0.796 46.660
## 940 0.853 67.700
## 941 0.912 72.260
## 942 0.905 66.200
## 943 0.948 73.380
## 944 0.898 72.960
## 945 0.813 52.300
## 946 0.874 57.200
## 947 0.622 53.220
## 948 0.812 48.500
## 949 0.759 66.980
## 950 0.795 62.280
## 951 0.893 64.600
## 952 0.926 64.440
## 953 0.876 62.300
## 954 0.840 NA
## 955 0.793 55.300
## 956 0.888 68.520
## 957 0.678 59.300
## 958 0.845 74.200
## 959 0.828 56.200
## 960 0.932 72.200
## 961 0.937 72.200
## 962 0.851 62.360
## 963 0.965 69.760
## 964 0.805 66.900
## 965 0.925 77.100
## 966 0.918 68.000
## 967 0.812 NA
## 968 0.919 67.000
## 969 0.701 59.500
## 970 0.823 66.100
## 971 0.820 49.480
## 972 0.802 NA
## 973 0.950 72.900
## 974 0.820 65.400
## 975 0.856 57.940
## 976 0.841 51.540
## 977 0.878 69.700
## 978 0.898 62.780
## 979 0.905 67.460
## 980 0.467 59.860
## 981 0.733 49.300
## 982 0.766 52.380
## 983 0.863 65.100
## 984 0.856 71.000
## 985 0.938 68.200
## 986 0.792 NA
## 987 0.830 64.600
## 988 0.687 58.000
## 989 0.780 51.580
## 990 0.896 66.300
## 991 0.600 46.260
## 992 0.877 49.880
## 993 0.719 57.500
## 994 0.874 66.400
## 995 0.782 48.640
## 996 0.721 54.700
## 997 0.903 61.440
## 998 0.880 64.400
## 999 0.866 71.200
## 1000 0.771 48.640
## 1001 0.931 62.800
## 1002 0.868 63.500
## 1003 0.795 58.900
## 1004 0.938 73.440
## 1005 0.832 49.860
## 1006 0.789 55.260
## 1007 0.767 54.300
## 1008 0.582 53.000
## 1009 0.670 53.940
## 1010 0.947 74.200
## 1011 0.926 70.480
## 1012 0.912 66.600
## 1013 0.805 48.900
## 1014 0.798 46.600
## 1015 0.956 73.500
## 1016 0.850 63.240
## 1017 0.682 53.660
## 1018 0.884 72.200
## 1019 0.674 61.300
## 1020 0.846 NA
## 1021 0.811 66.900
## 1022 0.893 68.100
## 1023 0.673 57.060
## 1024 0.911 53.700
## 1025 0.865 66.460
## 1026 0.806 66.400
## 1027 0.786 NA
## 1028 0.877 67.200
## 1029 0.718 49.880
## 1030 0.788 48.640
## 1031 0.785 56.400
## 1032 0.943 68.400
## 1033 0.958 74.000
## 1034 0.790 48.700
## 1035 0.818 67.200
## 1036 0.761 52.320
## 1037 0.848 59.700
## 1038 0.905 62.760
## 1039 0.833 63.800
## 1040 0.806 45.420
## 1041 0.734 59.600
## 1042 0.900 67.440
## 1043 0.831 66.080
## 1044 0.632 57.500
## 1045 0.923 71.720
## 1046 0.489 61.700
## 1047 0.892 71.900
## 1048 0.955 67.300
## 1049 0.874 66.580
## 1050 0.944 73.020
## 1051 0.770 72.960
## 1052 0.819 54.220
## 1053 0.792 NA
## 1054 0.906 71.600
## 1055 0.803 54.520
## 1056 0.768 54.400
## 1057 0.808 70.900
## 1058 0.800 64.700
## 1059 0.640 56.400
## 1060 0.893 72.460
## 1061 0.928 73.200
## 1062 0.860 53.680
## 1063 0.901 69.800
## 1064 0.864 56.500
## 1065 0.894 65.500
## 1066 0.619 56.900
## 1067 0.834 59.000
## 1068 0.882 74.900
## 1069 0.892 61.240
## 1070 0.760 53.380
## 1071 0.780 45.160
## 1072 0.835 71.800
## 1073 0.843 49.840
## 1074 0.863 69.300
## 1075 0.887 75.200
## 1076 0.900 74.520
## 1077 0.864 70.800
## 1078 0.921 64.220
## 1079 0.786 73.300
## 1080 0.827 63.600
## 1081 0.741 51.200
## 1082 0.947 68.000
## 1083 0.878 75.100
## 1084 0.931 71.140
## 1085 0.706 58.900
## 1086 0.923 71.400
## 1087 0.709 47.100
## 1088 0.638 55.800
## 1089 0.774 50.500
## 1090 0.962 72.100
## 1091 0.624 47.180
## 1092 0.724 54.480
## 1093 0.827 65.000
## 1094 0.739 50.500
## 1095 0.922 71.840
## 1096 0.630 54.400
## 1097 0.655 49.400
## 1098 0.818 58.200
## 1099 0.722 45.680
## 1100 0.761 67.400
## 1101 0.862 65.800
## 1102 0.769 47.300
## 1103 0.816 56.800
## 1104 0.903 65.920
## 1105 0.935 71.840
## 1106 0.795 58.700
## 1107 0.744 59.200
## 1108 0.812 72.160
## 1109 0.761 57.200
## 1110 0.770 73.100
## 1111 0.857 46.700
## 1112 0.910 66.100
## 1113 0.906 72.700
## 1114 0.655 57.480
## 1115 0.783 48.700
## 1116 0.919 62.680
## 1117 0.621 57.200
## 1118 0.744 72.820
## 1119 0.788 NA
## 1120 0.963 63.800
## 1121 0.843 NA
## 1122 0.939 70.240
## 1123 0.763 55.160
## 1124 0.790 64.700
## 1125 0.937 73.140
## 1126 0.902 72.600
## 1127 0.866 64.960
## 1128 0.930 72.000
## 1129 0.933 69.200
## 1130 0.826 73.700
## 1131 0.882 66.400
## 1132 0.848 68.100
## 1133 0.948 71.600
## 1134 0.911 68.800
## 1135 0.886 72.500
## 1136 0.676 60.700
## 1137 0.879 67.720
## 1138 0.904 73.600
## 1139 0.784 63.900
## 1140 0.602 56.560
## 1141 0.878 67.500
## 1142 0.912 73.000
## 1143 0.862 65.500
## 1144 0.665 59.900
## 1145 0.827 67.500
## 1146 0.929 72.620
## 1147 0.666 59.100
## 1148 0.626 58.700
## 1149 0.617 60.900
## 1150 0.805 NA
## 1151 0.890 66.900
## 1152 0.937 72.600
## 1153 0.922 68.900
## 1154 0.885 52.040
## 1155 0.798 67.200
## 1156 0.690 53.260
## 1157 0.883 63.800
## 1158 0.853 55.780
## 1159 0.677 46.360
## 1160 0.937 72.000
## 1161 0.708 49.600
## 1162 0.757 62.220
## 1163 0.763 59.300
## 1164 0.907 65.800
## 1165 0.890 65.020
## 1166 0.767 72.680
## 1167 0.926 72.400
## 1168 0.931 69.300
## 1169 0.954 70.080
## 1170 0.914 64.000
## 1171 0.934 72.600
## 1172 0.864 65.780
## 1173 0.810 55.420
## 1174 0.804 68.780
## 1175 0.764 66.660
## 1176 0.796 48.760
## 1177 0.941 72.600
## 1178 0.929 72.700
## 1179 0.756 65.580
## 1180 0.940 73.600
## 1181 0.819 64.780
## 1182 0.937 72.100
## 1183 0.707 60.100
## 1184 0.872 61.600
## 1185 0.806 74.100
## 1186 0.819 67.020
## 1187 0.887 66.500
## 1188 0.803 62.020
## 1189 0.733 47.780
## 1190 0.685 54.860
## 1191 0.750 58.060
## 1192 0.900 74.800
## 1193 0.905 72.800
## 1194 0.846 56.060
## 1195 0.913 66.700
## 1196 0.895 65.200
## 1197 0.953 70.100
## 1198 0.907 52.420
## 1199 0.824 66.500
## 1200 0.857 67.020
## 1201 0.899 66.600
## 1202 0.794 65.500
## 1203 0.888 66.700
## 1204 0.817 61.340
## 1205 0.750 54.820
## 1206 0.835 NA
## 1207 0.675 57.500
## 1208 0.931 73.600
## 1209 0.878 69.300
## 1210 0.517 60.500
## 1211 0.748 58.680
## 1212 0.898 64.100
## 1213 0.881 66.420
## 1214 0.858 51.460
## 1215 0.912 66.400
## 1216 0.957 72.060
## 1217 0.844 72.540
## 1218 0.776 73.900
## 1219 0.912 66.000
## 1220 0.918 72.020
## 1221 0.777 65.820
## 1222 0.612 57.020
## 1223 0.797 62.240
## 1224 0.954 69.500
## 1225 0.868 66.300
## 1226 0.897 69.200
## 1227 0.904 65.940
## 1228 0.718 49.020
## 1229 0.883 53.040
## 1230 0.768 67.600
## 1231 0.825 57.180
## 1232 0.926 71.300
## 1233 0.929 71.600
## 1234 0.905 72.600
## 1235 0.877 64.400
## 1236 0.936 72.800
## 1237 0.838 67.340
## 1238 0.807 61.000
## 1239 0.893 67.000
## 1240 0.857 63.200
## 1241 0.761 45.920
## 1242 0.848 62.960
## 1243 0.921 73.800
## 1244 0.815 68.720
## 1245 0.923 74.700
## 1246 0.856 66.440
## 1247 0.849 57.260
## 1248 0.884 67.140
## 1249 0.829 NA
## 1250 0.760 56.100
## 1251 0.962 70.620
## 1252 0.946 74.700
## 1253 0.941 71.120
## 1254 0.937 74.200
## 1255 0.925 73.600
## 1256 0.940 71.300
## 1257 0.913 67.100
## 1258 0.851 61.800
## 1259 0.808 75.460
## 1260 0.830 66.020
## 1261 0.943 73.900
## 1262 0.863 66.240
## 1263 0.885 66.280
## 1264 0.692 51.700
## 1265 0.711 57.020
## 1266 0.653 56.980
## 1267 0.796 59.500
## 1268 0.612 53.500
## 1269 0.827 52.860
## 1270 0.789 54.180
## 1271 0.892 63.860
## 1272 0.948 72.340
## 1273 0.951 70.080
## 1274 0.839 53.380
## 1275 0.837 54.460
## 1276 0.938 70.640
## 1277 0.810 49.260
## 1278 0.885 73.400
## 1279 0.846 61.900
## 1280 0.694 55.300
## 1281 0.909 66.400
## 1282 0.950 73.800
## 1283 0.633 53.660
## 1284 0.964 73.300
## 1285 0.951 70.840
## 1286 0.945 68.300
## 1287 0.675 60.120
## 1288 0.697 58.500
## 1289 0.871 65.120
## 1290 0.924 72.600
## 1291 0.849 66.700
## 1292 0.943 72.500
## 1293 0.880 72.620
## 1294 0.840 66.000
## 1295 0.818 66.400
## 1296 0.903 63.200
## 1297 0.917 73.980
## 1298 0.963 70.200
## 1299 0.954 71.900
## 1300 0.961 71.500
## 1301 0.937 71.540
## 1302 0.905 74.160
## 1303 0.924 67.940
## 1304 0.917 68.500
## 1305 0.875 67.580
## 1306 0.944 71.480
## 1307 0.774 59.000
## 1308 0.914 63.500
## 1309 0.857 54.500
## 1310 0.837 51.400
## 1311 0.822 NA
## 1312 0.759 51.270
## 1313 0.797 66.840
## 1314 0.928 73.500
## 1315 0.819 59.600
## 1316 0.877 64.140
## 1317 0.916 72.920
## 1318 0.899 71.960
## 1319 0.887 73.560
## 1320 0.950 73.300
## 1321 0.920 72.200
## 1322 0.756 66.480
## 1323 0.924 59.440
## 1324 0.898 55.300
## 1325 0.735 44.120
## 1326 0.865 48.120
## 1327 0.921 72.400
## 1328 0.835 65.160
## 1329 0.845 62.000
## 1330 0.785 60.000
## 1331 0.763 55.140
## 1332 0.962 71.900
## 1333 0.824 46.200
## 1334 0.970 70.460
## 1335 0.781 61.680
## 1336 0.739 54.100
## 1337 0.928 72.300
## 1338 0.867 67.600
## 1339 0.796 63.000
## 1340 0.693 60.020
## 1341 0.952 71.360
## 1342 0.968 71.900
## 1343 0.597 64.400
## 1344 0.912 67.780
## 1345 0.839 58.800
## 1346 0.944 72.500
## 1347 0.884 66.100
## 1348 0.767 66.860
## 1349 0.857 64.820
## 1350 0.819 73.500
## 1351 0.912 67.440
## 1352 0.801 60.000
## 1353 0.975 70.400
## 1354 0.888 73.680
## 1355 0.938 71.220
## 1356 0.836 65.800
## 1357 0.870 56.100
## 1358 0.878 63.520
## 1359 0.933 63.600
## 1360 0.798 67.420
## 1361 0.896 73.200
## 1362 0.922 71.800
## 1363 0.822 72.400
## 1364 0.875 55.700
## 1365 0.829 62.700
## 1366 0.903 76.800
## 1367 0.924 63.400
## 1368 0.951 65.200
## 1369 0.950 71.820
## 1370 0.964 71.800
## 1371 0.923 70.620
## 1372 0.936 67.620
## 1373 0.860 63.800
## 1374 0.863 68.100
## 1375 0.937 68.100
## 1376 0.851 67.100
## 1377 0.944 71.000
## 1378 0.909 64.900
## 1379 0.913 68.600
## 1380 0.865 68.280
## 1381 0.715 59.500
## 1382 0.898 65.540
## 1383 0.944 71.540
## 1384 0.828 65.020
## 1385 0.912 72.600
## 1386 0.808 69.900
## 1387 0.688 60.000
## 1388 0.830 67.800
## 1389 0.816 65.940
## 1390 0.952 72.700
## 1391 0.759 67.040
## 1392 0.824 66.680
## 1393 0.943 72.200
## 1394 0.848 69.700
## 1395 0.805 64.200
## 1396 0.804 69.100
## 1397 0.942 73.000
## 1398 0.800 65.720
## 1399 0.936 71.560
## 1400 0.930 74.100
## 1401 0.935 70.760
## 1402 0.651 59.640
## 1403 0.824 45.740
## 1404 0.882 64.900
## 1405 0.741 55.460
## 1406 0.924 67.860
## 1407 0.890 65.700
## 1408 0.862 67.300
## 1409 0.878 64.460
## 1410 0.616 61.100
## 1411 0.854 67.500
## 1412 0.917 50.500
## 1413 0.947 70.980
## 1414 0.830 69.140
## 1415 0.924 74.340
## 1416 0.939 70.900
## 1417 0.910 71.620
## 1418 0.882 67.100
## 1419 0.933 68.600
## 1420 0.836 66.900
## 1421 0.823 67.000
## 1422 0.797 68.300
## 1423 0.917 71.480
## 1424 0.818 57.700
## 1425 0.928 70.880
## 1426 0.935 69.900
## 1427 0.931 74.000
## 1428 0.751 48.400
## 1429 0.954 71.700
## 1430 0.909 71.160
## 1431 0.960 72.500
## 1432 0.803 65.500
## 1433 0.879 64.240
## 1434 0.827 66.600
## 1435 0.831 60.500
## 1436 0.928 72.100
## 1437 0.949 74.400
## 1438 0.936 71.700
## 1439 0.887 61.760
## 1440 0.881 54.340
## 1441 0.944 71.280
## 1442 0.891 64.680
## 1443 0.953 72.000
## 1444 0.939 71.440
## 1445 0.716 58.880
## 1446 0.846 61.200
## 1447 0.765 61.200
## 1448 0.897 76.500
## 1449 0.908 72.800
## 1450 0.796 59.600
## 1451 0.910 65.220
## 1452 0.812 66.300
## 1453 0.883 69.300
## 1454 0.848 56.900
## 1455 0.913 48.020
## 1456 0.922 65.580
## 1457 0.647 57.900
## 1458 0.782 67.220
## 1459 0.866 75.900
## 1460 0.875 72.420
## 1461 0.757 57.380
## 1462 0.894 65.940
## 1463 0.902 64.700
## 1464 0.824 65.260
## 1465 0.880 65.460
## 1466 0.827 69.600
## 1467 0.923 71.620
## 1468 0.934 68.800
## 1469 0.926 71.060
## 1470 0.793 58.400
## 1471 0.819 69.040
## 1472 0.781 62.100
## 1473 0.836 68.660
## 1474 0.685 55.000
## 1475 0.952 64.000
## 1476 0.936 68.400
## 1477 0.885 71.400
## 1478 0.891 68.140
## 1479 0.741 49.700
## 1480 0.863 65.500
## 1481 0.854 61.600
## 1482 0.853 66.900
## 1483 0.798 60.200
## 1484 0.754 55.000
## 1485 0.897 68.500
## 1486 0.958 69.000
## 1487 0.944 72.400
## 1488 0.893 68.000
## 1489 0.921 69.200
## 1490 0.916 64.760
## 1491 0.836 50.700
## 1492 0.913 66.700
## 1493 0.785 65.300
## 1494 0.563 53.460
## 1495 0.873 69.100
## 1496 0.894 65.340
## 1497 0.832 68.840
## 1498 0.938 73.200
## 1499 0.747 66.880
## 1500 0.794 68.400
## 1501 0.958 72.100
## 1502 0.952 71.700
## 1503 0.907 68.600
## 1504 0.857 68.900
## 1505 0.872 64.020
## 1506 0.869 70.000
## 1507 0.845 68.100
## 1508 0.821 62.360
## 1509 0.869 64.620
## 1510 0.866 64.480
## 1511 0.779 68.900
## 1512 0.848 60.200
## 1513 0.828 49.680
## 1514 0.933 66.380
## 1515 0.818 47.120
## 1516 0.938 72.300
## 1517 0.945 72.400
## 1518 0.878 73.000
## 1519 0.904 65.860
## 1520 0.799 66.060
## 1521 0.808 68.800
## 1522 0.704 59.980
## 1523 0.841 56.500
## 1524 0.746 58.300
## 1525 0.922 70.260
## 1526 0.923 70.440
## 1527 0.839 66.380
## 1528 0.813 61.400
## 1529 0.729 60.400
## 1530 0.882 68.680
## 1531 0.894 64.140
## 1532 0.914 72.500
## 1533 0.938 72.260
## 1534 0.765 57.740
## 1535 0.955 71.800
## 1536 0.925 68.640
## 1537 0.904 68.600
## 1538 0.876 68.500
## 1539 0.757 64.200
## 1540 0.914 71.400
## 1541 0.921 71.980
## 1542 0.803 65.280
## 1543 0.914 72.060
## 1544 0.917 68.200
## 1545 0.855 69.180
## 1546 0.904 68.300
## 1547 0.888 70.100
## 1548 0.939 73.400
## 1549 0.967 72.300
## 1550 0.604 52.440
## 1551 0.912 72.400
## 1552 0.877 67.000
## 1553 0.879 66.320
## 1554 0.895 63.620
## 1555 0.677 54.000
## 1556 0.766 65.720
## 1557 0.815 67.400
## 1558 0.748 67.240
## 1559 0.811 67.060
## 1560 0.955 73.000
## 1561 0.858 62.080
## 1562 0.906 64.500
## 1563 0.792 66.160
## 1564 0.929 72.300
## 1565 0.944 70.800
## 1566 0.947 73.000
## 1567 0.910 65.280
## 1568 0.830 60.740
## 1569 0.883 63.300
## 1570 0.880 NA
## 1571 0.805 55.500
## 1572 0.832 64.820
## 1573 0.922 68.100
## 1574 0.928 72.500
## 1575 0.954 70.740
## 1576 0.866 61.080
## 1577 0.955 65.400
## 1578 0.787 67.760
## 1579 0.937 68.000
## 1580 0.903 71.760
## 1581 0.875 56.100
## 1582 0.903 66.200
## 1583 0.927 71.040
## 1584 0.878 64.020
## 1585 0.891 57.300
## 1586 0.790 66.380
## 1587 0.900 68.800
## 1588 0.606 59.260
## 1589 0.809 68.400
## 1590 0.889 65.200
## 1591 0.825 NA
## 1592 0.788 67.920
## 1593 0.958 72.400
## 1594 0.951 71.540
## 1595 0.772 69.000
## 1596 0.837 40.808
## 1597 0.821 61.700
## 1598 0.945 71.680
## 1599 0.792 65.440
## 1600 0.925 73.800
## 1601 0.873 68.000
## 1602 0.803 67.500
## 1603 0.660 59.500
## 1604 0.931 72.600
## 1605 0.814 66.100
## 1606 0.936 70.760
## 1607 0.959 73.060
## 1608 0.942 73.300
## 1609 0.948 72.240
## 1610 0.956 73.400
## 1611 0.892 67.060
## 1612 0.925 76.200
## 1613 0.789 67.000
## 1614 0.952 72.100
## 1615 0.779 50.353
## 1616 0.923 73.600
## 1617 0.842 66.200
## 1618 0.945 65.640
## 1619 0.876 66.380
## 1620 0.921 65.100
## 1621 0.924 73.200
## 1622 0.771 59.840
## 1623 0.871 67.700
## 1624 0.938 66.820
## 1625 0.910 66.080
## 1626 0.718 44.640
## 1627 0.742 68.700
## 1628 0.934 72.700
## 1629 0.965 71.720
## 1630 0.947 71.880
## 1631 0.839 66.800
## 1632 0.917 68.420
## 1633 0.896 69.000
## 1634 0.791 65.200
## 1635 0.863 NA
## 1636 0.902 73.800
## 1637 0.966 73.200
## 1638 0.965 68.060
## 1639 0.921 68.400
## 1640 0.954 69.920
## 1641 0.931 65.740
## 1642 0.931 70.800
## 1643 0.862 66.940
## 1644 0.827 64.800
## 1645 0.916 72.140
## 1646 0.807 54.960
## 1647 0.960 71.500
## 1648 NA 68.220
## 1649 0.834 61.760
## 1650 0.878 71.440
## 1651 0.849 68.200
## 1652 0.893 65.700
## 1653 0.833 67.200
## 1654 0.806 64.600
## 1655 0.885 NA
## 1656 0.935 71.080
## 1657 0.889 64.480
## 1658 0.900 64.280
## 1659 0.839 65.600
## 1660 0.959 71.320
## 1661 0.935 70.400
## 1662 0.956 71.280
## 1663 0.904 65.920
## 1664 0.964 71.300
## 1665 0.774 66.800
## 1666 0.795 59.800
## 1667 0.895 NA
## 1668 0.970 71.900
## 1669 0.864 50.840
## 1670 0.937 72.800
## 1671 0.943 72.200
## 1672 0.912 69.500
## 1673 0.918 72.840
## 1674 0.913 64.260
## 1675 0.890 69.900
## 1676 0.839 66.260
## 1677 0.883 62.820
## 1678 0.792 61.700
## 1679 0.987 72.600
## 1680 0.842 67.200
## 1681 0.941 72.680
## 1682 0.879 72.000
## 1683 0.611 49.600
## 1684 0.955 72.200
## 1685 0.866 61.420
## 1686 0.903 68.660
## 1687 0.902 68.620
## 1688 0.958 72.360
## 1689 0.908 66.800
## 1690 0.937 70.920
## 1691 0.962 71.700
## 1692 0.834 63.540
## 1693 0.874 67.800
## 1694 0.778 68.080
## 1695 0.982 73.000
## 1696 0.934 71.880
## 1697 0.954 71.800
## 1698 0.933 72.220
## 1699 0.855 66.220
## 1700 0.922 68.680
## 1701 0.914 68.900
## 1702 0.891 NA
## 1703 0.931 64.740
## 1704 0.816 60.400
## 1705 0.914 70.500
## 1706 0.909 67.400
## 1707 0.798 65.000
## 1708 0.926 72.100
## 1709 0.941 72.400
## 1710 0.697 54.700
## 1711 0.880 69.800
## 1712 0.942 64.800
## 1713 0.962 71.300
## 1714 0.868 66.160
## 1715 0.890 66.800
## 1716 0.696 66.700
## 1717 0.746 60.800
## 1718 0.968 64.200
## 1719 0.951 71.200
## 1720 0.876 66.500
## 1721 0.889 67.480
## 1722 0.896 65.820
## 1723 0.779 66.620
## 1724 0.822 75.680
## 1725 0.945 64.500
## 1726 0.747 63.560
## 1727 0.843 67.000
## 1728 0.910 67.840
## 1729 0.900 68.800
## 1730 0.883 68.400
## 1731 0.805 66.500
## 1732 0.873 67.200
## 1733 0.903 67.400
## 1734 0.947 72.900
## 1735 0.800 68.000
## 1736 0.968 71.400
## 1737 0.912 68.540
## 1738 0.886 65.580
## 1739 0.829 66.440
## 1740 0.949 71.380
## 1741 0.935 71.460
## 1742 0.916 69.820
## 1743 0.768 62.460
## 1744 0.759 62.000
## 1745 0.901 NA
## 1746 0.831 69.600
## 1747 0.954 73.200
## 1748 0.915 65.400
## 1749 0.951 67.900
## 1750 0.939 73.000
## 1751 0.795 61.600
## 1752 0.817 NA
## 1753 0.926 66.160
## 1754 0.919 63.960
## 1755 0.927 67.300
## 1756 0.964 71.020
## 1757 0.916 63.500
## 1758 0.914 66.140
## 1759 0.826 64.500
## 1760 0.775 60.400
## 1761 0.811 64.200
## 1762 0.842 67.900
## 1763 0.976 72.000
## 1764 0.907 66.580
## 1765 0.779 65.940
## 1766 0.785 67.120
## 1767 0.896 NA
## 1768 0.942 72.480
## 1769 0.863 66.600
## 1770 0.906 71.500
## 1771 0.870 NA
## 1772 0.980 73.000
## 1773 0.868 66.440
## 1774 0.950 73.100
## 1775 0.952 73.600
## 1776 0.889 64.060
## 1777 0.829 65.800
## 1778 0.960 73.000
## 1779 0.859 62.100
## 1780 0.734 63.880
## 1781 0.902 70.300
## 1782 0.797 67.400
## 1783 0.878 70.700
## 1784 0.838 67.200
## 1785 0.936 72.680
## 1786 0.801 67.280
## 1787 0.901 66.360
## 1788 0.823 63.900
## 1789 0.856 67.600
## 1790 0.789 60.800
## 1791 0.937 72.200
## 1792 0.905 61.280
## 1793 0.705 58.700
## 1794 0.957 71.400
## 1795 0.820 68.240
## 1796 0.944 71.600
## 1797 0.967 71.400
## 1798 0.906 65.940
## 1799 0.929 72.060
## 1800 0.889 64.500
## 1801 0.862 69.320
## 1802 0.788 69.300
## 1803 0.948 72.520
## 1804 0.918 68.020
## 1805 0.902 67.660
## 1806 0.774 57.740
## 1807 0.933 64.540
## 1808 0.932 65.780
## 1809 0.882 69.400
## 1810 0.892 65.900
## 1811 0.947 72.780
## 1812 0.946 65.460
## 1813 0.893 67.700
## 1814 0.886 63.780
## 1815 0.926 68.200
## 1816 0.831 67.440
## 1817 0.774 65.100
## 1818 0.880 59.900
## 1819 0.893 NA
## 1820 0.972 69.600
## 1821 0.809 66.400
## 1822 0.820 66.100
## 1823 0.790 54.440
## 1824 0.939 71.640
## 1825 0.926 68.700
## 1826 0.932 65.700
## 1827 0.958 72.700
## 1828 0.965 71.060
## 1829 0.939 72.300
## 1830 0.959 71.160
## 1831 0.818 66.960
## 1832 0.983 73.000
## 1833 0.955 71.300
## 1834 0.938 71.520
## 1835 0.934 73.400
## 1836 0.772 66.600
## 1837 0.796 61.900
## 1838 0.802 62.820
## 1839 0.824 66.300
## 1840 0.954 72.120
## 1841 0.878 62.920
## 1842 0.919 67.180
## 1843 0.852 68.600
## 1844 0.979 69.900
## 1845 0.825 60.620
## 1846 0.809 62.100
## 1847 0.977 71.600
## 1848 0.779 60.260
## 1849 0.813 61.000
## 1850 0.930 72.240
## 1851 0.914 65.100
## 1852 0.752 58.100
## 1853 0.841 65.920
## 1854 0.863 63.840
## 1855 0.911 65.900
## 1856 0.925 71.760
## 1857 0.943 72.020
## 1858 0.830 63.180
## 1859 0.909 71.880
## 1860 0.937 69.940
## 1861 0.897 68.700
## 1862 0.717 63.240
## 1863 0.896 68.900
## 1864 0.947 70.400
## 1865 0.902 68.560
## 1866 0.841 69.700
## 1867 0.967 72.840
## 1868 0.862 69.460
## 1869 0.876 71.300
## 1870 0.841 64.800
## 1871 0.764 66.400
## 1872 0.953 68.380
## 1873 NA 71.660
## 1874 0.827 67.200
## 1875 0.707 58.300
## 1876 0.985 73.000
## 1877 0.922 71.100
## 1878 0.901 70.900
## 1879 0.983 70.820
## 1880 0.918 69.880
## 1881 0.731 64.400
## 1882 0.973 71.500
## 1883 0.900 69.760
## 1884 0.892 69.900
## 1885 0.809 61.500
## 1886 0.805 60.600
## 1887 0.851 68.500
## 1888 0.917 69.000
## 1889 0.802 62.300
## 1890 0.967 70.140
## 1891 0.886 69.700
## 1892 0.729 59.100
## 1893 0.724 62.400
## 1894 0.954 72.200
## 1895 0.977 72.320
## 1896 0.946 71.200
## 1897 0.922 72.360
## 1898 0.858 68.300
## 1899 0.905 68.200
## 1900 0.904 69.600
## 1901 0.876 68.500
## 1902 0.807 53.920
## 1903 0.915 69.700
## 1904 0.770 65.760
## 1905 0.928 68.300
## 1906 0.933 69.100
## 1907 0.939 71.840
## 1908 0.822 69.600
## 1909 0.594 50.000
## 1910 0.794 61.060
## 1911 0.891 68.700
## 1912 0.967 73.000
## 1913 0.834 60.840
## 1914 0.902 70.100
## 1915 0.893 65.160
## 1916 0.979 72.760
## 1917 0.691 56.300
## 1918 0.898 65.500
## 1919 0.599 50.100
## 1920 0.902 65.500
## 1921 0.863 62.540
## 1922 0.866 66.600
## 1923 0.693 56.600
## 1924 0.939 64.860
## 1925 0.940 65.300
## 1926 0.884 65.720
## 1927 0.959 64.980
## 1928 0.577 62.380
## 1929 0.591 54.200
## 1930 0.904 61.700
## 1931 0.864 66.460
## 1932 NA 65.500
## 1933 0.884 NA
## 1934 0.675 56.100
## 1935 0.728 58.880
## 1936 NA 64.500
## 1937 NA 67.420
## 1938 NA 54.300
## 1939 0.800 66.800
## 1940 0.793 67.000
## 1941 0.709 67.200
## 1942 NA 65.800
## 1943 0.913 70.600
## 1944 NA 63.500
## 1945 NA 66.700
## 1946 NA 68.300
## 1947 NA 64.960
## 1948 NA 66.480
## 1949 NA 67.700
## Freedom.to.make.life.choices Generosity Perceptions.of.corruption
## 1 0.447 -0.081 0.890
## 2 0.394 -0.108 0.924
## 3 0.287 -0.055 0.932
## 4 0.448 0.045 0.685
## 5 0.510 -0.111 0.774
## 6 0.455 0.225 0.663
## 7 0.478 -0.219 0.869
## 8 0.631 -0.136 0.760
## 9 0.315 -0.020 0.789
## 10 0.374 -0.094 0.928
## 11 0.464 -0.267 0.697
## 12 0.553 -0.267 0.752
## 13 0.529 -0.176 0.805
## 14 0.260 -0.019 0.860
## 15 0.614 -0.224 0.498
## 16 0.770 0.005 0.855
## 17 0.644 -0.174 0.718
## 18 0.644 -0.237 0.671
## 19 0.595 -0.147 NA
## 20 0.653 -0.016 0.806
## 21 0.553 NA 0.793
## 22 0.488 -0.045 0.882
## 23 0.607 -0.066 0.907
## 24 0.467 0.316 0.673
## 25 0.644 -0.065 0.764
## 26 0.533 -0.151 NA
## 27 0.566 -0.195 0.810
## 28 0.519 -0.275 0.962
## 29 0.465 -0.225 0.875
## 30 0.797 NA 0.614
## 31 0.584 -0.070 0.832
## 32 0.822 -0.149 0.099
## 33 0.649 -0.024 0.764
## 34 0.347 -0.070 0.780
## 35 0.666 -0.052 0.799
## 36 0.599 0.019 0.762
## 37 0.556 -0.022 0.824
## 38 0.495 -0.233 0.535
## 39 0.682 -0.215 NA
## 40 0.793 NA 0.640
## 41 0.520 -0.231 0.850
## 42 0.546 -0.062 0.859
## 43 0.427 -0.121 0.954
## 44 0.547 NA 0.858
## 45 0.532 0.072 0.912
## 46 0.621 -0.006 0.856
## 47 0.655 -0.004 0.921
## 48 0.776 -0.075 0.035
## 49 0.558 -0.248 0.460
## 50 0.706 -0.171 0.793
## 51 0.752 -0.059 0.856
## 52 0.638 -0.173 0.754
## 53 0.589 -0.232 0.783
## 54 0.679 0.101 0.836
## 55 0.671 -0.061 0.903
## 56 0.628 0.000 0.757
## 57 0.610 -0.139 0.829
## 58 0.605 -0.251 0.817
## 59 0.753 -0.040 0.813
## 60 0.892 0.285 NA
## 61 0.546 -0.062 0.897
## 62 0.682 -0.146 0.780
## 63 0.685 -0.077 0.851
## 64 0.459 -0.176 0.891
## 65 0.772 -0.235 0.774
## 66 0.484 -0.189 0.954
## 67 0.718 0.074 0.874
## 68 0.726 0.012 0.910
## 69 0.461 -0.130 0.952
## 70 0.605 -0.074 0.911
## 71 0.632 -0.255 0.353
## 72 0.699 -0.237 0.852
## 73 0.536 -0.207 0.886
## 74 0.774 -0.199 NA
## 75 0.365 -0.128 0.933
## 76 0.718 0.168 0.882
## 77 0.502 -0.215 0.893
## 78 0.626 -0.083 0.756
## 79 0.656 -0.168 0.672
## 80 0.522 -0.207 0.871
## 81 0.568 -0.176 0.899
## 82 0.720 0.066 NA
## 83 0.462 -0.215 0.876
## 84 0.720 -0.071 0.856
## 85 0.645 -0.217 0.657
## 86 0.690 -0.036 0.845
## 87 0.612 -0.101 0.887
## 88 0.431 -0.199 0.854
## 89 0.780 -0.016 0.834
## 90 0.437 -0.180 0.942
## 91 0.678 0.073 0.949
## 92 0.386 -0.061 0.910
## 93 0.496 -0.303 0.979
## 94 0.501 -0.123 0.858
## 95 0.563 -0.034 0.884
## 96 0.524 0.035 0.927
## 97 0.452 -0.138 0.880
## 98 0.665 0.071 0.937
## 99 0.590 -0.151 0.859
## 100 0.533 -0.100 0.908
## 101 0.412 0.232 0.976
## 102 0.818 0.105 0.742
## 103 0.509 0.104 0.871
## 104 0.463 -0.170 0.965
## 105 0.621 -0.259 0.961
## 106 0.664 -0.228 0.948
## 107 0.631 -0.055 0.960
## 108 0.716 0.148 0.925
## 109 0.614 -0.068 0.890
## 110 0.894 -0.090 0.799
## 111 0.537 -0.105 0.795
## 112 0.567 -0.070 0.881
## 113 0.790 0.167 0.712
## 114 0.765 0.004 0.680
## 115 0.902 -0.051 0.656
## 116 0.770 0.122 0.742
## 117 0.610 0.289 0.669
## 118 0.607 -0.198 0.782
## 119 0.502 -0.176 0.693
## 120 0.593 -0.152 NA
## 121 0.659 -0.209 0.889
## 122 0.621 -0.122 0.654
## 123 0.390 -0.063 0.794
## 124 0.901 -0.043 0.701
## 125 0.419 -0.125 0.859
## 126 0.651 NA 0.798
## 127 0.650 -0.140 0.964
## 128 0.578 -0.126 0.749
## 129 0.763 0.227 0.824
## 130 0.441 -0.214 0.882
## 131 0.590 -0.030 0.869
## 132 0.498 -0.087 0.754
## 133 0.390 0.042 0.970
## 134 0.373 -0.178 0.961
## 135 0.468 -0.085 0.797
## 136 0.870 -0.051 0.583
## 137 0.505 0.025 0.858
## 138 0.622 -0.070 0.726
## 139 0.440 -0.185 0.977
## 140 0.545 -0.144 0.941
## 141 0.640 -0.205 0.502
## 142 0.606 -0.196 0.967
## 143 0.670 0.069 0.902
## 144 0.420 -0.013 0.953
## 145 0.530 -0.181 0.638
## 146 0.739 -0.137 0.932
## 147 0.704 0.068 0.809
## 148 0.474 -0.141 0.913
## 149 0.716 0.095 0.856
## 150 0.529 -0.009 0.875
## 151 0.657 0.031 0.853
## 152 0.304 0.291 0.839
## 153 0.603 NA 0.703
## 154 0.650 0.024 0.763
## 155 0.658 -0.125 0.664
## 156 0.599 -0.140 0.763
## 157 0.389 0.080 0.881
## 158 0.373 0.216 0.848
## 159 0.645 -0.112 0.959
## 160 0.401 0.021 0.931
## 161 0.623 NA 0.877
## 162 0.647 0.008 0.743
## 163 0.543 -0.179 0.885
## 164 0.456 -0.136 0.906
## 165 0.659 -0.269 0.321
## 166 0.657 -0.012 0.939
## 167 0.740 -0.100 0.864
## 168 0.556 0.009 0.814
## 169 0.814 -0.216 0.841
## 170 0.564 -0.038 0.895
## 171 0.875 -0.089 0.688
## 172 0.551 -0.099 0.925
## 173 0.504 -0.195 0.900
## 174 0.564 -0.002 0.934
## 175 0.606 -0.249 0.561
## 176 0.773 -0.112 0.800
## 177 0.813 0.089 0.632
## 178 0.693 -0.160 NA
## 179 0.523 0.042 0.793
## 180 0.657 -0.147 0.804
## 181 0.617 -0.283 0.954
## 182 0.702 -0.088 0.768
## 183 0.679 -0.203 0.676
## 184 0.780 -0.251 0.783
## 185 0.365 -0.080 0.844
## 186 0.700 -0.163 0.706
## 187 0.486 -0.076 0.826
## 188 0.513 -0.058 0.856
## 189 0.773 0.069 0.799
## 190 0.522 -0.127 0.750
## 191 0.597 0.073 0.889
## 192 0.628 -0.082 0.957
## 193 0.602 -0.050 0.955
## 194 0.663 0.081 0.782
## 195 0.896 0.012 0.635
## 196 0.527 0.063 0.944
## 197 0.564 -0.223 0.896
## 198 0.720 -0.233 0.416
## 199 0.616 0.044 0.950
## 200 0.566 -0.148 0.964
## 201 0.681 0.034 0.786
## 202 0.781 0.064 0.918
## 203 0.696 -0.186 0.930
## 204 0.845 0.134 0.770
## 205 0.358 -0.070 0.753
## 206 0.258 -0.026 0.959
## 207 0.487 -0.265 0.929
## 208 0.641 -0.172 0.938
## 209 0.775 -0.233 0.755
## 210 0.526 -0.098 NA
## 211 0.711 -0.226 0.815
## 212 0.484 0.381 0.647
## 213 0.431 -0.033 0.952
## 214 0.748 0.082 0.688
## 215 0.462 -0.192 0.755
## 216 0.646 -0.001 0.726
## 217 0.698 -0.194 0.789
## 218 0.587 0.085 0.717
## 219 0.412 -0.056 0.734
## 220 0.725 0.024 0.923
## 221 0.453 -0.165 0.905
## 222 0.552 -0.042 0.844
## 223 0.601 -0.029 0.715
## 224 0.657 0.006 0.911
## 225 0.641 0.025 0.861
## 226 0.798 0.200 0.665
## 227 0.746 -0.057 0.519
## 228 0.725 -0.105 0.707
## 229 0.512 -0.134 0.815
## 230 0.659 0.004 0.693
## 231 0.375 -0.168 0.834
## 232 0.624 0.033 0.859
## 233 0.306 0.028 0.961
## 234 0.583 -0.144 0.781
## 235 0.821 -0.244 0.590
## 236 0.553 -0.053 0.926
## 237 0.503 -0.273 0.957
## 238 0.556 -0.237 0.936
## 239 0.373 -0.305 0.959
## 240 0.506 -0.218 0.920
## 241 0.685 0.124 0.776
## 242 0.808 -0.163 0.677
## 243 0.658 -0.069 0.941
## 244 0.824 -0.084 0.929
## 245 0.691 -0.151 0.925
## 246 0.720 0.248 0.830
## 247 0.659 -0.104 0.853
## 248 0.777 -0.009 0.742
## 249 0.525 0.052 0.820
## 250 0.600 NA 0.710
## 251 0.460 -0.241 0.962
## 252 0.834 -0.062 0.838
## 253 0.769 -0.111 0.806
## 254 0.623 -0.113 0.925
## 255 0.644 -0.052 0.832
## 256 0.663 -0.085 0.795
## 257 0.786 -0.123 NA
## 258 0.623 -0.091 0.669
## 259 0.679 0.190 0.850
## 260 0.598 -0.088 0.929
## 261 0.641 -0.056 0.926
## 262 0.703 NA 0.945
## 263 0.709 -0.004 0.825
## 264 0.591 0.422 0.720
## 265 0.681 0.106 0.863
## 266 0.608 -0.212 0.799
## 267 0.385 0.005 0.741
## 268 0.724 -0.035 0.840
## 269 0.543 0.140 0.677
## 270 0.614 -0.063 0.727
## 271 0.668 -0.202 0.877
## 272 0.484 0.068 0.962
## 273 0.583 -0.024 0.663
## 274 0.713 0.045 0.714
## 275 0.662 -0.092 0.934
## 276 0.799 0.073 0.766
## 277 0.512 NA 0.710
## 278 0.456 NA 0.761
## 279 0.819 -0.229 0.803
## 280 0.580 -0.011 0.790
## 281 0.503 0.097 0.768
## 282 0.870 0.073 0.682
## 283 0.537 0.055 0.832
## 284 0.918 0.089 0.754
## 285 0.603 -0.199 0.913
## 286 0.607 -0.087 0.865
## 287 0.699 -0.092 0.738
## 288 0.613 -0.296 0.937
## 289 0.480 0.012 0.913
## 290 0.503 0.011 0.891
## 291 0.590 -0.282 0.966
## 292 0.574 -0.048 0.866
## 293 0.682 NA 0.438
## 294 0.757 -0.244 0.757
## 295 0.587 -0.036 0.767
## 296 0.579 -0.228 0.933
## 297 0.747 -0.041 0.807
## 298 0.776 -0.096 0.855
## 299 0.595 -0.090 0.943
## 300 0.627 -0.204 0.936
## 301 0.745 -0.041 0.910
## 302 0.626 -0.051 0.769
## 303 0.617 0.065 0.737
## 304 0.657 -0.186 0.546
## 305 0.772 -0.211 0.851
## 306 0.540 0.031 0.876
## 307 0.583 -0.146 0.759
## 308 0.528 -0.316 0.941
## 309 0.569 -0.087 0.849
## 310 0.694 -0.105 0.820
## 311 0.731 -0.225 0.653
## 312 0.639 -0.024 0.719
## 313 0.650 -0.191 0.840
## 314 0.733 -0.027 0.850
## 315 0.673 0.011 NA
## 316 0.772 -0.232 0.561
## 317 0.698 -0.017 0.925
## 318 0.482 0.289 0.717
## 319 0.509 0.285 0.708
## 320 0.608 -0.129 0.812
## 321 0.643 -0.305 0.924
## 322 0.566 -0.138 0.976
## 323 0.533 0.084 0.927
## 324 0.614 -0.266 0.949
## 325 0.454 -0.150 0.780
## 326 0.556 -0.153 0.774
## 327 0.611 -0.170 0.921
## 328 0.551 -0.203 0.901
## 329 0.722 -0.254 0.349
## 330 0.819 -0.038 0.818
## 331 0.641 -0.254 0.924
## 332 0.662 -0.110 0.808
## 333 0.552 -0.206 0.757
## 334 0.636 0.027 0.950
## 335 0.667 -0.225 0.695
## 336 0.738 -0.060 0.921
## 337 0.519 0.132 0.918
## 338 0.333 -0.035 0.925
## 339 0.566 -0.085 0.974
## 340 0.642 -0.217 0.663
## 341 0.599 -0.002 0.937
## 342 0.564 0.092 0.923
## 343 0.632 -0.163 0.831
## 344 0.506 0.201 0.968
## 345 0.713 -0.204 0.607
## 346 0.733 -0.208 0.654
## 347 0.611 -0.230 0.793
## 348 0.817 -0.029 0.870
## 349 0.517 -0.198 0.977
## 350 0.448 0.100 0.792
## 351 0.456 -0.227 0.853
## 352 0.844 -0.172 0.583
## 353 0.705 -0.071 NA
## 354 0.727 0.067 0.432
## 355 0.778 -0.131 0.763
## 356 0.772 -0.069 0.733
## 357 0.770 -0.112 NA
## 358 0.530 0.131 0.741
## 359 0.580 -0.069 0.945
## 360 0.612 0.068 0.786
## 361 0.693 0.091 0.815
## 362 0.623 NA 0.728
## 363 0.711 0.079 0.848
## 364 0.626 -0.279 0.935
## 365 0.787 -0.106 0.950
## 366 0.931 NA 0.675
## 367 0.846 -0.018 0.060
## 368 0.734 -0.064 0.777
## 369 0.439 0.080 0.870
## 370 0.832 0.124 0.718
## 371 0.810 0.066 0.824
## 372 0.438 -0.290 0.872
## 373 0.843 0.149 0.824
## 374 0.546 -0.226 0.762
## 375 0.802 0.060 0.845
## 376 0.760 -0.153 0.902
## 377 0.587 -0.172 0.690
## 378 0.811 -0.260 0.647
## 379 0.707 0.094 0.818
## 380 0.730 -0.007 0.815
## 381 0.744 0.001 0.792
## 382 0.707 -0.246 0.708
## 383 0.787 0.131 0.877
## 384 0.598 -0.068 0.887
## 385 0.816 0.018 0.723
## 386 0.850 -0.104 0.841
## 387 0.653 -0.009 0.907
## 388 0.792 0.002 0.875
## 389 0.699 -0.140 0.896
## 390 0.764 -0.198 0.616
## 391 0.564 -0.237 0.973
## 392 0.602 -0.169 0.848
## 393 0.474 -0.029 0.889
## 394 0.749 -0.174 0.790
## 395 0.656 -0.077 0.808
## 396 0.465 0.261 0.812
## 397 0.612 -0.007 0.809
## 398 0.780 -0.065 0.838
## 399 0.651 NA 0.636
## 400 0.723 -0.177 0.653
## 401 0.705 NA 0.380
## 402 0.663 -0.074 0.943
## 403 0.740 -0.154 0.957
## 404 0.694 -0.096 0.849
## 405 0.717 0.001 0.757
## 406 0.783 -0.083 0.532
## 407 0.848 0.025 0.735
## 408 0.661 0.122 0.680
## 409 0.764 NA 0.678
## 410 0.726 -0.078 0.752
## 411 0.786 -0.072 0.790
## 412 0.958 -0.081 0.797
## 413 0.659 -0.089 0.684
## 414 0.655 NA 0.814
## 415 0.609 -0.293 0.938
## 416 0.643 -0.307 0.935
## 417 0.496 0.162 0.731
## 418 0.664 -0.157 0.885
## 419 0.764 -0.221 0.583
## 420 0.656 -0.141 0.818
## 421 0.858 0.260 NA
## 422 0.534 -0.121 0.651
## 423 0.760 -0.143 NA
## 424 0.614 -0.165 0.811
## 425 0.342 0.006 0.926
## 426 0.449 0.401 0.854
## 427 0.790 0.115 0.776
## 428 0.689 -0.154 0.911
## 429 0.332 -0.099 0.773
## 430 0.295 -0.011 0.874
## 431 0.710 -0.004 0.801
## 432 0.712 0.121 0.841
## 433 0.672 -0.065 0.884
## 434 0.415 -0.189 0.785
## 435 0.717 -0.042 0.726
## 436 0.567 NA 0.742
## 437 0.645 0.073 0.890
## 438 0.856 -0.110 0.815
## 439 0.921 -0.025 0.829
## 440 0.628 -0.007 0.850
## 441 0.727 -0.065 0.767
## 442 0.440 NA 0.785
## 443 0.645 -0.001 0.721
## 444 0.542 -0.153 0.730
## 445 0.631 -0.025 0.856
## 446 0.600 0.121 0.707
## 447 0.766 -0.032 0.898
## 448 0.767 0.241 0.640
## 449 0.759 0.149 0.906
## 450 0.647 -0.048 0.682
## 451 0.672 -0.168 0.699
## 452 0.742 -0.016 0.743
## 453 0.554 -0.164 0.926
## 454 0.508 -0.263 0.956
## 455 0.398 0.306 0.777
## 456 0.888 0.052 0.909
## 457 0.660 -0.047 0.824
## 458 0.831 -0.049 0.748
## 459 0.567 -0.295 0.967
## 460 0.578 0.061 0.823
## 461 0.557 -0.047 0.969
## 462 0.745 -0.109 0.833
## 463 0.446 -0.242 0.649
## 464 0.700 -0.170 0.936
## 465 0.624 -0.257 0.929
## 466 0.542 -0.242 0.924
## 467 0.775 NA 0.715
## 468 0.719 -0.100 0.923
## 469 0.593 -0.284 0.933
## 470 0.795 -0.071 0.856
## 471 0.700 -0.154 0.798
## 472 0.538 0.014 0.851
## 473 0.603 -0.191 0.962
## 474 0.514 0.006 0.864
## 475 0.684 0.041 0.758
## 476 0.556 -0.101 0.838
## 477 0.601 0.052 0.868
## 478 0.413 0.243 0.682
## 479 0.756 -0.032 0.791
## 480 0.653 NA 0.829
## 481 0.624 0.050 0.825
## 482 0.614 -0.147 0.865
## 483 NA NA NA
## 484 0.773 -0.142 0.849
## 485 0.904 -0.055 0.838
## 486 0.533 0.056 0.872
## 487 0.671 -0.194 0.867
## 488 0.752 0.146 0.909
## 489 0.839 0.168 0.817
## 490 0.576 -0.055 0.955
## 491 0.487 -0.205 0.877
## 492 0.376 0.030 0.857
## 493 0.504 -0.117 0.752
## 494 0.766 -0.152 NA
## 495 0.615 0.008 0.792
## 496 0.772 0.153 0.804
## 497 0.722 0.151 0.877
## 498 0.659 -0.016 0.774
## 499 0.609 0.067 0.830
## 500 0.712 -0.008 0.817
## 501 0.684 0.006 0.705
## 502 0.741 -0.016 0.765
## 503 0.675 0.049 0.837
## 504 0.344 -0.090 0.964
## 505 0.784 -0.092 0.884
## 506 0.754 0.053 0.732
## 507 0.709 -0.082 0.866
## 508 0.767 -0.028 0.844
## 509 0.722 0.079 0.963
## 510 0.801 0.058 0.835
## 511 0.715 -0.081 0.885
## 512 0.557 -0.035 0.807
## 513 0.643 0.074 0.854
## 514 0.484 -0.303 0.954
## 515 0.632 -0.127 0.863
## 516 0.652 -0.228 0.868
## 517 0.815 -0.068 0.721
## 518 0.644 -0.031 0.910
## 519 0.834 0.085 0.743
## 520 0.890 0.036 0.918
## 521 0.605 0.040 0.806
## 522 0.541 -0.229 0.698
## 523 0.714 -0.181 0.925
## 524 0.441 0.012 0.775
## 525 0.494 -0.241 0.968
## 526 0.749 0.005 NA
## 527 0.718 0.141 0.843
## 528 0.706 0.051 0.828
## 529 0.763 0.033 0.901
## 530 0.543 0.049 0.946
## 531 0.549 -0.271 0.958
## 532 0.527 -0.153 0.777
## 533 0.727 0.010 0.907
## 534 0.645 0.035 0.861
## 535 0.622 0.051 0.905
## 536 0.773 -0.234 0.843
## 537 NA 0.018 NA
## 538 0.724 -0.176 0.952
## 539 0.630 -0.203 0.926
## 540 0.706 0.080 0.870
## 541 0.388 0.077 0.874
## 542 0.790 -0.054 0.301
## 543 0.831 0.140 0.416
## 544 0.711 -0.106 0.665
## 545 0.525 -0.158 0.864
## 546 0.760 -0.037 0.840
## 547 0.655 -0.129 0.952
## 548 0.897 0.049 0.691
## 549 0.699 -0.204 0.817
## 550 0.427 -0.019 0.718
## 551 0.578 -0.055 0.848
## 552 0.779 -0.042 0.926
## 553 0.896 -0.019 0.804
## 554 0.633 0.134 0.957
## 555 0.771 -0.038 NA
## 556 0.719 -0.197 0.823
## 557 0.631 -0.073 0.837
## 558 NA 0.086 NA
## 559 0.437 -0.167 0.700
## 560 0.631 -0.089 0.940
## 561 0.611 -0.100 0.801
## 562 0.800 NA 0.957
## 563 0.816 0.036 0.884
## 564 0.613 -0.084 0.920
## 565 0.413 0.317 0.891
## 566 0.854 -0.214 0.457
## 567 0.784 0.062 0.679
## 568 0.707 -0.008 0.750
## 569 0.637 -0.200 0.941
## 570 0.752 0.017 0.286
## 571 0.569 -0.216 0.937
## 572 0.524 -0.102 0.771
## 573 0.659 0.123 0.913
## 574 0.788 -0.046 NA
## 575 0.703 0.010 0.632
## 576 0.942 -0.119 0.839
## 577 0.686 -0.188 0.949
## 578 0.740 0.138 0.916
## 579 0.796 NA 0.670
## 580 0.700 -0.021 0.849
## 581 0.714 -0.071 0.823
## 582 0.771 -0.075 0.739
## 583 0.678 -0.033 NA
## 584 0.471 -0.216 0.702
## 585 0.686 -0.046 0.741
## 586 0.780 0.176 0.699
## 587 0.637 -0.024 0.875
## 588 0.697 -0.192 0.793
## 589 0.767 -0.164 0.634
## 590 0.281 NA NA
## 591 0.781 -0.080 0.671
## 592 0.713 0.002 0.747
## 593 0.838 -0.038 0.908
## 594 0.666 -0.104 0.810
## 595 0.801 -0.015 0.855
## 596 0.569 -0.172 0.726
## 597 0.634 0.095 0.793
## 598 0.823 -0.030 0.682
## 599 0.913 -0.238 0.867
## 600 0.876 0.112 0.752
## 601 0.748 0.136 0.928
## 602 0.443 -0.293 0.959
## 603 0.905 -0.176 0.881
## 604 0.650 -0.021 0.888
## 605 0.720 -0.072 0.926
## 606 0.649 -0.055 0.749
## 607 0.825 -0.077 0.711
## 608 0.616 -0.036 0.841
## 609 0.806 -0.246 0.865
## 610 0.735 -0.168 0.687
## 611 0.494 -0.150 0.855
## 612 0.582 -0.060 0.833
## 613 0.715 -0.052 0.799
## 614 0.791 0.049 0.868
## 615 0.364 0.300 0.852
## 616 0.459 -0.178 0.800
## 617 0.671 -0.043 0.804
## 618 0.907 -0.025 0.893
## 619 0.936 0.043 0.708
## 620 0.569 -0.136 0.930
## 621 0.515 -0.187 0.811
## 622 0.904 0.404 0.670
## 623 0.686 0.173 0.900
## 624 0.623 -0.043 0.834
## 625 0.768 -0.048 0.819
## 626 0.696 0.054 0.849
## 627 0.685 -0.156 0.868
## 628 0.641 -0.229 0.937
## 629 0.754 -0.100 0.958
## 630 0.684 -0.091 0.929
## 631 0.678 -0.140 0.879
## 632 0.749 -0.264 0.797
## 633 0.381 0.144 0.894
## 634 0.716 -0.104 0.892
## 635 0.335 0.100 0.848
## 636 0.682 -0.048 0.827
## 637 0.853 0.002 0.698
## 638 0.514 -0.145 0.983
## 639 0.431 -0.059 0.808
## 640 0.817 -0.248 0.731
## 641 0.904 -0.020 0.891
## 642 0.620 -0.028 0.907
## 643 0.890 0.085 0.805
## 644 0.800 -0.163 0.941
## 645 0.568 -0.018 0.933
## 646 0.410 -0.104 0.816
## 647 0.896 0.008 0.892
## 648 0.722 -0.075 0.777
## 649 0.584 0.055 0.911
## 650 0.770 -0.016 0.698
## 651 0.730 0.216 0.685
## 652 0.824 -0.122 0.829
## 653 0.740 0.039 0.799
## 654 0.729 -0.104 NA
## 655 0.909 0.410 NA
## 656 0.766 0.050 0.868
## 657 0.600 -0.089 0.797
## 658 0.713 -0.228 0.842
## 659 0.456 -0.082 0.946
## 660 0.633 -0.035 0.867
## 661 NA NA NA
## 662 0.677 -0.033 0.752
## 663 0.649 0.005 0.634
## 664 0.713 -0.003 0.879
## 665 0.822 -0.109 0.943
## 666 0.467 -0.112 0.711
## 667 0.725 0.055 0.770
## 668 0.778 -0.049 0.730
## 669 0.618 NA 0.844
## 670 0.800 0.100 0.403
## 671 0.464 -0.125 0.915
## 672 0.800 -0.053 0.744
## 673 0.829 -0.039 0.161
## 674 0.889 0.201 0.789
## 675 0.681 0.153 0.862
## 676 0.367 0.165 0.842
## 677 0.609 -0.121 NA
## 678 0.712 -0.246 0.743
## 679 0.554 -0.187 0.924
## 680 0.564 -0.335 0.860
## 681 0.636 -0.101 0.907
## 682 0.646 -0.024 0.599
## 683 0.500 -0.075 0.732
## 684 0.666 0.007 0.762
## 685 0.776 -0.044 NA
## 686 0.614 -0.289 0.848
## 687 0.729 -0.051 0.862
## 688 0.751 0.090 0.894
## 689 0.733 -0.012 0.867
## 690 0.739 0.132 0.811
## 691 0.470 -0.103 0.859
## 692 0.731 -0.274 0.865
## 693 0.648 -0.040 0.737
## 694 0.769 0.188 0.784
## 695 NA -0.127 0.709
## 696 0.750 -0.029 0.876
## 697 0.767 0.200 0.676
## 698 0.631 -0.075 0.776
## 699 0.718 -0.150 0.844
## 700 0.570 0.113 0.908
## 701 0.849 0.213 0.814
## 702 0.896 0.029 0.845
## 703 0.508 -0.074 0.838
## 704 0.519 0.092 0.911
## 705 0.739 -0.174 0.879
## 706 0.729 -0.147 0.865
## 707 0.700 -0.167 0.924
## 708 0.612 -0.030 0.879
## 709 0.782 -0.229 0.820
## 710 0.791 -0.105 0.743
## 711 0.756 -0.072 0.891
## 712 0.768 0.145 0.793
## 713 0.736 -0.017 0.799
## 714 0.727 -0.221 0.899
## 715 0.675 0.119 0.865
## 716 0.697 NA 0.903
## 717 0.730 -0.017 0.901
## 718 0.702 -0.016 0.814
## 719 0.642 -0.050 0.832
## 720 0.693 -0.243 0.911
## 721 0.591 0.026 0.862
## 722 0.763 0.053 0.820
## 723 0.693 0.063 0.764
## 724 0.831 -0.122 0.639
## 725 0.646 0.001 0.794
## 726 0.766 -0.001 0.410
## 727 0.688 -0.046 0.605
## 728 0.800 -0.168 0.897
## 729 0.733 0.032 0.830
## 730 0.865 0.235 0.184
## 731 0.542 -0.050 0.946
## 732 0.856 -0.249 0.845
## 733 0.685 -0.171 0.913
## 734 0.577 0.213 0.887
## 735 0.945 -0.102 0.785
## 736 0.754 0.007 0.891
## 737 0.802 NA 0.944
## 738 0.877 -0.261 0.880
## 739 0.561 0.150 0.902
## 740 0.636 -0.052 0.837
## 741 0.661 -0.289 0.934
## 742 0.773 -0.153 0.652
## 743 0.740 0.084 0.832
## 744 0.912 0.347 0.664
## 745 0.704 -0.088 0.787
## 746 0.748 -0.155 0.932
## 747 0.794 -0.030 0.867
## 748 0.777 -0.099 0.914
## 749 0.834 0.009 0.898
## 750 0.495 -0.012 0.918
## 751 0.886 0.015 NA
## 752 0.728 -0.032 0.703
## 753 0.787 0.116 0.857
## 754 0.886 -0.042 0.781
## 755 0.713 -0.050 0.791
## 756 0.646 -0.112 0.664
## 757 NA -0.087 0.914
## 758 0.396 0.089 0.794
## 759 0.872 -0.056 0.661
## 760 0.706 -0.055 0.718
## 761 0.843 0.224 0.423
## 762 0.692 -0.117 NA
## 763 0.565 -0.241 0.764
## 764 0.838 -0.225 0.922
## 765 0.831 -0.006 0.743
## 766 0.838 -0.069 0.757
## 767 0.735 -0.025 0.883
## 768 0.624 -0.081 0.903
## 769 0.823 0.140 0.740
## 770 0.729 0.079 0.856
## 771 0.862 -0.001 0.715
## 772 0.691 0.097 0.756
## 773 0.891 0.138 0.771
## 774 0.852 -0.253 0.729
## 775 0.830 0.295 0.521
## 776 0.783 -0.121 0.730
## 777 0.774 NA 0.855
## 778 0.682 -0.067 0.948
## 779 0.757 -0.187 0.845
## 780 0.916 0.345 0.696
## 781 0.726 -0.056 0.803
## 782 0.773 0.186 0.713
## 783 0.744 -0.265 0.869
## 784 0.824 -0.195 0.723
## 785 0.784 0.126 0.946
## 786 0.841 -0.075 NA
## 787 0.704 -0.081 0.885
## 788 0.458 -0.155 0.890
## 789 0.688 0.107 0.932
## 790 0.490 -0.062 0.677
## 791 0.847 0.022 0.742
## 792 0.426 -0.272 0.941
## 793 0.826 -0.143 0.814
## 794 0.487 -0.055 0.854
## 795 0.656 -0.059 0.803
## 796 0.821 0.073 0.898
## 797 0.852 -0.038 0.945
## 798 0.767 -0.046 NA
## 799 0.759 -0.039 0.871
## 800 0.703 -0.079 0.892
## 801 0.715 -0.116 0.848
## 802 0.794 -0.065 0.880
## 803 0.750 0.056 0.810
## 804 0.678 -0.004 0.729
## 805 0.785 -0.215 0.823
## 806 0.700 0.151 0.931
## 807 0.909 -0.041 0.808
## 808 0.568 0.115 0.935
## 809 0.628 -0.102 0.743
## 810 0.734 NA 0.861
## 811 0.884 -0.005 NA
## 812 0.812 -0.011 0.809
## 813 0.575 -0.064 0.913
## 814 0.786 -0.053 0.729
## 815 0.840 -0.098 0.824
## 816 0.770 0.016 0.777
## 817 0.704 0.139 0.826
## 818 0.736 -0.203 0.846
## 819 0.818 0.000 0.659
## 820 0.760 0.090 0.900
## 821 0.775 0.179 0.739
## 822 0.822 -0.115 0.949
## 823 0.731 0.218 0.715
## 824 0.451 0.170 0.967
## 825 0.878 -0.235 0.802
## 826 0.805 0.032 NA
## 827 NA -0.065 0.578
## 828 0.867 -0.104 NA
## 829 0.712 -0.032 0.791
## 830 0.593 0.172 0.923
## 831 0.820 0.046 0.765
## 832 0.369 -0.288 0.930
## 833 0.589 0.004 0.919
## 834 NA NA 0.670
## 835 0.677 0.001 0.913
## 836 0.817 NA 0.905
## 837 0.683 0.219 0.868
## 838 0.759 -0.101 0.916
## 839 0.600 -0.096 0.787
## 840 0.848 -0.221 0.954
## 841 0.753 0.108 0.789
## 842 0.783 0.058 0.863
## 843 0.802 0.287 NA
## 844 0.779 -0.019 0.673
## 845 0.668 -0.071 0.895
## 846 0.776 -0.119 0.672
## 847 0.767 -0.154 0.749
## 848 0.598 -0.051 0.915
## 849 0.732 -0.111 0.771
## 850 0.739 0.150 0.849
## 851 0.884 -0.120 0.819
## 852 0.525 -0.010 0.935
## 853 0.687 0.147 0.878
## 854 0.867 0.293 0.064
## 855 0.780 -0.055 0.549
## 856 0.788 -0.118 0.946
## 857 0.721 -0.006 0.785
## 858 0.538 -0.161 0.895
## 859 NA 0.000 NA
## 860 0.797 0.041 0.743
## 861 0.777 -0.005 0.776
## 862 0.482 -0.260 0.898
## 863 0.783 -0.036 0.702
## 864 NA -0.039 NA
## 865 0.793 0.221 0.853
## 866 0.754 -0.201 0.726
## 867 0.783 -0.085 0.856
## 868 0.785 NA 0.659
## 869 0.835 -0.012 0.081
## 870 0.773 -0.261 0.687
## 871 0.783 0.079 0.839
## 872 0.635 -0.126 0.914
## 873 0.646 -0.217 0.933
## 874 0.643 -0.009 0.789
## 875 0.791 0.048 0.811
## 876 0.758 0.135 0.873
## 877 0.772 0.060 0.816
## 878 0.827 0.125 0.941
## 879 0.786 0.061 0.824
## 880 0.775 -0.044 NA
## 881 0.769 -0.043 0.757
## 882 0.738 0.038 0.750
## 883 0.616 -0.020 0.860
## 884 0.701 0.093 NA
## 885 0.762 -0.073 NA
## 886 0.847 -0.126 0.941
## 887 0.584 -0.056 0.748
## 888 0.818 -0.004 0.901
## 889 0.674 -0.113 0.912
## 890 0.781 -0.101 0.646
## 891 0.711 0.149 0.873
## 892 0.628 0.066 0.911
## 893 0.558 -0.198 0.908
## 894 0.924 0.087 0.689
## 895 0.708 -0.001 0.881
## 896 0.736 0.110 0.847
## 897 0.634 -0.068 0.800
## 898 0.882 -0.179 0.880
## 899 0.762 -0.073 0.686
## 900 0.693 NA 0.855
## 901 0.890 0.332 0.256
## 902 0.731 -0.145 0.862
## 903 0.532 -0.022 0.508
## 904 0.763 -0.068 0.844
## 905 0.531 0.236 0.776
## 906 0.882 -0.234 0.915
## 907 0.663 0.139 0.898
## 908 0.720 -0.111 0.765
## 909 0.809 -0.026 0.832
## 910 0.721 -0.013 0.757
## 911 0.631 0.099 0.928
## 912 0.576 -0.104 0.831
## 913 0.833 -0.239 0.792
## 914 0.670 -0.038 0.846
## 915 0.817 -0.237 0.717
## 916 0.824 0.200 0.847
## 917 0.733 0.099 0.853
## 918 0.824 0.009 0.899
## 919 0.790 -0.292 0.851
## 920 0.668 -0.034 0.765
## 921 0.831 -0.023 NA
## 922 0.749 -0.073 0.717
## 923 0.698 -0.002 0.827
## 924 0.820 -0.078 0.809
## 925 0.803 0.113 0.567
## 926 0.629 -0.074 0.805
## 927 0.587 -0.128 0.928
## 928 0.856 -0.065 0.755
## 929 0.796 -0.141 0.962
## 930 0.667 -0.123 0.810
## 931 0.880 0.222 0.380
## 932 0.560 -0.120 NA
## 933 0.729 0.032 0.873
## 934 0.800 0.116 0.654
## 935 0.782 NA 0.983
## 936 0.431 -0.076 0.905
## 937 0.803 0.464 NA
## 938 0.632 -0.064 0.831
## 939 0.588 0.028 0.798
## 940 0.850 0.112 NA
## 941 0.684 0.113 0.922
## 942 0.765 -0.175 0.794
## 943 0.738 -0.028 0.854
## 944 0.624 -0.065 0.920
## 945 0.597 0.139 0.866
## 946 0.689 NA 0.897
## 947 0.838 0.120 0.863
## 948 0.680 -0.035 0.926
## 949 0.920 -0.027 0.771
## 950 0.799 0.004 0.805
## 951 0.703 -0.031 0.486
## 952 0.819 0.007 0.675
## 953 0.822 -0.089 NA
## 954 0.922 0.296 0.274
## 955 NA 0.255 0.829
## 956 0.726 -0.156 0.916
## 957 0.908 0.025 0.095
## 958 0.661 0.046 0.066
## 959 0.810 -0.190 0.831
## 960 0.927 0.179 0.595
## 961 0.924 0.253 0.690
## 962 0.755 -0.085 0.900
## 963 0.969 -0.005 0.132
## 964 0.612 NA 0.811
## 965 0.938 0.027 0.070
## 966 0.815 -0.164 0.569
## 967 0.910 0.156 0.356
## 968 0.865 NA 0.901
## 969 0.550 -0.012 0.720
## 970 0.822 0.082 NA
## 971 0.665 -0.053 0.755
## 972 0.830 NA 0.692
## 973 0.796 -0.138 0.840
## 974 0.820 -0.045 NA
## 975 0.692 -0.045 0.700
## 976 0.750 0.054 0.799
## 977 0.883 -0.231 0.696
## 978 0.736 0.355 0.897
## 979 0.868 -0.067 0.908
## 980 0.606 -0.044 0.802
## 981 0.826 0.124 0.835
## 982 0.642 -0.074 0.820
## 983 0.624 -0.135 0.732
## 984 0.875 -0.173 0.962
## 985 0.843 -0.149 0.639
## 986 0.880 NA 0.910
## 987 0.603 -0.142 NA
## 988 0.850 0.100 0.589
## 989 0.788 0.008 0.806
## 990 0.636 -0.169 0.844
## 991 0.910 0.202 0.691
## 992 0.739 -0.154 0.904
## 993 0.744 0.038 0.703
## 994 0.859 -0.058 0.941
## 995 0.696 -0.096 0.917
## 996 0.529 0.005 0.741
## 997 0.784 -0.115 0.609
## 998 NA -0.045 0.490
## 999 0.774 -0.097 0.959
## 1000 0.880 -0.009 0.483
## 1001 0.740 -0.037 0.714
## 1002 NA NA 0.505
## 1003 0.818 -0.254 0.807
## 1004 0.796 -0.090 0.809
## 1005 0.858 -0.164 0.806
## 1006 0.654 0.110 0.878
## 1007 0.812 0.122 0.771
## 1008 0.684 -0.030 0.778
## 1009 0.593 -0.018 0.841
## 1010 0.823 -0.169 0.565
## 1011 0.801 0.167 0.792
## 1012 0.891 -0.147 NA
## 1013 0.798 0.043 0.905
## 1014 0.729 -0.099 0.743
## 1015 0.732 -0.072 0.822
## 1016 0.848 -0.045 0.728
## 1017 0.573 -0.072 0.586
## 1018 0.776 -0.172 0.672
## 1019 0.702 0.260 0.837
## 1020 0.894 0.235 0.245
## 1021 0.839 -0.160 0.926
## 1022 0.793 -0.093 0.810
## 1023 0.480 -0.019 0.868
## 1024 0.710 0.077 0.701
## 1025 0.793 -0.021 0.931
## 1026 0.835 -0.128 0.636
## 1027 0.758 NA 0.334
## 1028 0.661 -0.139 0.886
## 1029 0.915 NA 0.299
## 1030 0.690 -0.158 0.859
## 1031 0.467 -0.175 0.842
## 1032 0.771 -0.120 0.836
## 1033 0.827 -0.133 0.568
## 1034 0.716 -0.131 0.915
## 1035 0.845 -0.217 0.921
## 1036 0.770 -0.104 0.732
## 1037 0.817 NA NA
## 1038 NA 0.013 0.610
## 1039 0.579 -0.218 0.875
## 1040 0.411 -0.078 0.931
## 1041 0.638 0.070 0.883
## 1042 0.799 -0.063 0.928
## 1043 0.791 0.264 0.755
## 1044 0.538 0.077 0.762
## 1045 0.882 0.296 NA
## 1046 0.869 0.064 0.168
## 1047 0.841 0.145 0.414
## 1048 0.795 0.002 0.905
## 1049 0.809 -0.001 0.861
## 1050 0.819 -0.122 0.846
## 1051 0.715 0.060 0.868
## 1052 0.735 0.039 0.848
## 1053 0.858 0.117 0.925
## 1054 0.871 0.148 0.446
## 1055 0.654 0.054 0.859
## 1056 0.733 -0.095 0.724
## 1057 0.575 -0.190 0.845
## 1058 0.848 0.191 0.847
## 1059 0.694 0.080 0.702
## 1060 0.722 0.141 0.891
## 1061 0.868 NA 0.699
## 1062 0.813 -0.250 0.816
## 1063 0.832 -0.177 0.867
## 1064 0.754 -0.169 0.846
## 1065 0.855 -0.121 0.760
## 1066 0.914 0.045 0.888
## 1067 0.770 -0.044 0.794
## 1068 0.849 -0.206 0.659
## 1069 0.840 -0.171 0.877
## 1070 0.736 -0.051 0.805
## 1071 0.584 0.119 0.892
## 1072 0.532 -0.272 0.824
## 1073 0.652 -0.037 0.658
## 1074 0.870 -0.254 0.720
## 1075 0.806 -0.259 0.609
## 1076 0.838 -0.139 0.617
## 1077 0.721 -0.106 0.948
## 1078 0.639 -0.110 0.445
## 1079 0.756 -0.030 0.898
## 1080 0.863 -0.093 0.786
## 1081 0.753 -0.069 0.863
## 1082 0.798 -0.195 0.884
## 1083 0.806 -0.255 0.617
## 1084 0.894 0.024 0.566
## 1085 0.749 0.298 0.828
## 1086 0.837 -0.063 0.961
## 1087 0.739 -0.031 0.691
## 1088 0.811 0.077 0.832
## 1089 0.562 0.256 0.930
## 1090 0.962 -0.116 0.164
## 1091 0.717 0.056 0.890
## 1092 0.852 0.011 0.790
## 1093 0.661 -0.081 NA
## 1094 0.713 0.099 0.913
## 1095 0.861 0.352 NA
## 1096 0.731 0.092 0.778
## 1097 0.817 -0.023 0.529
## 1098 0.618 0.291 0.900
## 1099 0.537 0.067 0.913
## 1100 0.719 -0.152 0.708
## 1101 0.867 -0.150 0.762
## 1102 0.757 -0.145 0.797
## 1103 0.857 -0.116 0.860
## 1104 0.898 -0.033 0.203
## 1105 0.833 -0.031 0.669
## 1106 0.886 0.650 0.619
## 1107 0.687 -0.044 0.825
## 1108 0.775 0.054 0.801
## 1109 0.817 0.062 0.846
## 1110 0.628 0.114 0.893
## 1111 0.665 -0.093 0.828
## 1112 0.912 0.087 0.818
## 1113 0.890 0.133 0.518
## 1114 0.529 -0.023 0.791
## 1115 0.787 -0.027 0.649
## 1116 0.858 0.038 0.755
## 1117 0.560 0.086 0.794
## 1118 0.656 0.102 0.867
## 1119 0.858 NA 0.357
## 1120 0.950 -0.034 0.434
## 1121 0.841 0.247 0.920
## 1122 0.949 0.264 0.206
## 1123 0.849 -0.183 0.790
## 1124 NA -0.040 0.550
## 1125 0.755 -0.059 0.844
## 1126 0.884 -0.022 0.385
## 1127 0.837 0.201 0.740
## 1128 0.808 -0.125 0.630
## 1129 0.771 -0.129 0.926
## 1130 0.794 -0.022 0.848
## 1131 0.751 -0.117 0.763
## 1132 0.952 -0.126 0.788
## 1133 0.930 0.111 0.223
## 1134 0.808 -0.146 0.886
## 1135 0.885 0.057 0.462
## 1136 0.818 0.310 0.794
## 1137 0.808 -0.143 0.597
## 1138 0.757 0.138 NA
## 1139 0.881 -0.086 0.857
## 1140 0.641 -0.160 0.870
## 1141 0.891 -0.137 0.885
## 1142 0.904 0.053 0.523
## 1143 0.751 NA NA
## 1144 0.911 0.025 0.159
## 1145 0.942 0.060 NA
## 1146 0.749 -0.127 0.798
## 1147 0.551 0.003 0.889
## 1148 0.570 -0.033 0.847
## 1149 0.906 0.075 0.780
## 1150 0.561 0.181 0.851
## 1151 0.884 -0.111 NA
## 1152 0.841 -0.149 0.608
## 1153 0.758 -0.167 0.910
## 1154 0.649 0.081 0.838
## 1155 0.802 -0.090 0.884
## 1156 0.773 0.129 0.576
## 1157 0.859 0.143 0.874
## 1158 0.468 -0.054 0.589
## 1159 0.750 0.076 0.755
## 1160 0.948 -0.052 0.195
## 1161 0.716 -0.013 0.707
## 1162 0.874 0.022 0.782
## 1163 0.899 0.561 0.682
## 1164 0.799 -0.016 0.771
## 1165 0.849 NA 0.623
## 1166 0.725 0.098 0.871
## 1167 0.889 0.080 0.524
## 1168 0.850 -0.197 0.900
## 1169 0.970 0.272 0.248
## 1170 0.745 -0.035 0.755
## 1171 0.932 0.052 0.375
## 1172 0.724 0.062 0.838
## 1173 0.557 -0.036 0.918
## 1174 0.640 0.084 0.741
## 1175 0.703 -0.079 0.867
## 1176 0.823 -0.101 0.726
## 1177 0.882 0.019 0.356
## 1178 0.885 0.203 0.490
## 1179 0.638 -0.078 0.931
## 1180 0.916 0.146 0.405
## 1181 0.676 0.230 0.826
## 1182 0.813 0.291 0.419
## 1183 0.821 0.291 0.844
## 1184 0.705 0.033 0.769
## 1185 0.763 NA 0.816
## 1186 0.722 -0.136 0.878
## 1187 0.611 NA 0.828
## 1188 0.846 -0.067 0.812
## 1189 0.634 0.008 0.819
## 1190 0.679 0.040 0.898
## 1191 0.904 -0.028 0.117
## 1192 0.836 -0.062 0.698
## 1193 0.864 -0.060 0.424
## 1194 0.709 0.022 0.923
## 1195 0.772 -0.047 0.925
## 1196 0.873 -0.080 0.737
## 1197 0.767 -0.007 0.787
## 1198 0.590 -0.163 0.838
## 1199 0.915 0.201 NA
## 1200 0.905 0.012 NA
## 1201 0.830 -0.062 0.762
## 1202 0.800 -0.185 0.797
## 1203 0.626 NA 0.839
## 1204 0.782 -0.039 0.825
## 1205 0.567 0.052 0.747
## 1206 0.918 0.308 0.272
## 1207 0.807 0.153 0.612
## 1208 0.834 -0.123 0.601
## 1209 0.907 0.048 NA
## 1210 0.908 0.051 0.214
## 1211 0.894 -0.023 0.078
## 1212 0.945 0.267 0.907
## 1213 0.889 0.071 NA
## 1214 0.835 -0.154 0.819
## 1215 0.878 0.057 0.355
## 1216 0.782 -0.093 0.784
## 1217 0.745 0.180 0.841
## 1218 0.740 -0.008 0.865
## 1219 0.807 -0.100 0.781
## 1220 0.798 -0.082 0.654
## 1221 0.638 -0.067 0.896
## 1222 0.691 0.645 0.695
## 1223 0.885 -0.077 0.751
## 1224 0.762 -0.075 0.901
## 1225 0.855 -0.192 NA
## 1226 0.823 -0.122 0.816
## 1227 0.896 0.037 0.506
## 1228 0.879 0.176 0.689
## 1229 0.736 -0.046 0.816
## 1230 0.805 -0.133 NA
## 1231 0.708 0.212 0.861
## 1232 0.889 0.178 0.412
## 1233 0.866 -0.056 0.497
## 1234 0.903 0.044 0.330
## 1235 0.920 -0.002 0.885
## 1236 0.951 0.091 0.203
## 1237 0.924 0.162 NA
## 1238 0.703 -0.068 0.781
## 1239 0.843 -0.037 0.772
## 1240 0.813 0.200 0.858
## 1241 0.555 -0.072 0.761
## 1242 0.886 -0.008 0.772
## 1243 0.816 -0.138 0.582
## 1244 0.662 0.244 0.723
## 1245 0.832 -0.155 0.654
## 1246 0.920 NA NA
## 1247 0.694 0.110 0.836
## 1248 0.809 NA 0.525
## 1249 0.820 NA 0.471
## 1250 0.777 -0.077 0.851
## 1251 0.935 0.298 0.220
## 1252 0.917 -0.064 0.280
## 1253 0.919 0.040 0.306
## 1254 0.905 0.210 0.491
## 1255 0.912 0.011 0.464
## 1256 0.895 NA 0.688
## 1257 0.861 -0.130 0.883
## 1258 0.926 -0.141 0.711
## 1259 0.827 0.115 0.242
## 1260 0.799 0.306 0.690
## 1261 0.918 0.121 0.430
## 1262 0.808 0.239 0.845
## 1263 0.849 0.019 0.339
## 1264 0.737 -0.034 0.793
## 1265 0.668 -0.036 0.852
## 1266 0.679 -0.026 0.895
## 1267 0.780 0.001 0.817
## 1268 0.791 0.009 0.637
## 1269 0.620 -0.012 0.909
## 1270 0.584 0.100 0.913
## 1271 0.622 0.005 NA
## 1272 0.834 -0.150 0.683
## 1273 0.934 0.028 0.217
## 1274 0.714 -0.077 0.800
## 1275 0.799 -0.203 0.814
## 1276 0.936 0.101 0.320
## 1277 0.749 -0.095 0.866
## 1278 0.787 -0.091 0.623
## 1279 0.918 -0.108 0.726
## 1280 0.677 0.410 0.798
## 1281 0.867 -0.073 0.785
## 1282 0.925 0.180 0.316
## 1283 0.757 0.005 0.890
## 1284 0.903 0.060 0.457
## 1285 0.933 0.139 0.187
## 1286 0.700 -0.061 0.917
## 1287 0.596 0.164 0.968
## 1288 0.940 0.350 0.896
## 1289 0.844 0.089 0.799
## 1290 0.923 0.319 0.442
## 1291 0.949 0.131 NA
## 1292 0.854 0.271 0.485
## 1293 0.701 0.240 0.890
## 1294 0.814 -0.131 NA
## 1295 0.675 0.222 0.838
## 1296 NA -0.030 0.519
## 1297 0.814 -0.052 0.734
## 1298 0.847 NA 0.781
## 1299 0.821 0.250 0.458
## 1300 0.916 NA 0.777
## 1301 0.905 0.346 0.568
## 1302 0.753 NA 0.692
## 1303 0.875 -0.064 0.898
## 1304 0.871 -0.091 0.848
## 1305 0.786 -0.165 0.614
## 1306 0.789 0.126 0.699
## 1307 0.906 0.490 0.647
## 1308 0.814 0.056 0.917
## 1309 0.669 0.055 0.727
## 1310 0.607 0.308 0.903
## 1311 0.890 0.269 0.922
## 1312 0.597 -0.191 0.724
## 1313 0.703 -0.066 0.870
## 1314 0.934 0.088 0.302
## 1315 0.810 0.353 0.802
## 1316 0.745 0.010 0.844
## 1317 0.499 -0.102 0.943
## 1318 0.885 0.118 0.567
## 1319 0.772 -0.135 0.816
## 1320 0.911 0.317 0.411
## 1321 0.877 0.034 0.496
## 1322 0.773 -0.123 0.824
## 1323 NA -0.102 NA
## 1324 0.862 -0.127 0.853
## 1325 0.649 0.085 0.871
## 1326 0.633 -0.088 0.830
## 1327 0.903 -0.102 0.627
## 1328 0.746 0.070 0.794
## 1329 0.910 -0.083 0.748
## 1330 0.726 -0.092 0.801
## 1331 0.487 -0.021 0.707
## 1332 0.938 -0.127 0.199
## 1333 0.565 0.067 0.911
## 1334 0.838 0.336 0.498
## 1335 0.862 -0.015 0.840
## 1336 0.891 0.074 0.875
## 1337 0.838 0.226 0.404
## 1338 0.840 0.273 0.918
## 1339 0.882 -0.047 0.853
## 1340 0.938 0.239 0.843
## 1341 0.933 -0.001 0.265
## 1342 0.922 0.264 0.406
## 1343 0.572 -0.210 0.771
## 1344 0.776 -0.137 0.916
## 1345 0.744 -0.086 0.794
## 1346 0.935 0.151 0.281
## 1347 0.877 -0.123 0.746
## 1348 0.788 -0.093 0.633
## 1349 0.791 0.076 0.819
## 1350 0.812 0.043 0.851
## 1351 0.807 -0.113 0.477
## 1352 0.852 -0.022 0.880
## 1353 0.944 0.242 0.175
## 1354 0.730 -0.210 0.740
## 1355 0.899 0.088 0.474
## 1356 0.819 0.139 0.891
## 1357 0.787 -0.129 0.865
## 1358 0.863 -0.053 0.806
## 1359 0.914 -0.037 0.463
## 1360 0.771 -0.160 NA
## 1361 0.817 -0.139 0.641
## 1362 0.857 0.054 0.543
## 1363 0.755 0.073 0.833
## 1364 0.774 -0.070 0.813
## 1365 0.884 -0.030 0.862
## 1366 0.916 -0.066 0.097
## 1367 0.934 0.042 0.522
## 1368 0.852 -0.055 0.708
## 1369 0.922 0.168 0.679
## 1370 0.962 -0.002 0.192
## 1371 0.766 NA 0.758
## 1372 0.811 -0.027 0.888
## 1373 0.824 -0.075 0.780
## 1374 0.889 0.088 NA
## 1375 0.850 0.034 0.678
## 1376 0.944 0.054 NA
## 1377 0.883 0.365 0.419
## 1378 0.738 -0.004 0.946
## 1379 0.714 -0.055 0.920
## 1380 0.871 0.067 0.615
## 1381 0.853 0.234 0.854
## 1382 0.714 -0.115 0.710
## 1383 0.939 0.132 0.703
## 1384 0.687 0.223 0.863
## 1385 0.930 -0.045 0.390
## 1386 0.891 -0.103 NA
## 1387 0.759 -0.019 0.796
## 1388 0.827 -0.154 0.895
## 1389 0.834 0.163 0.861
## 1390 0.922 0.332 0.357
## 1391 0.739 -0.165 0.615
## 1392 0.831 -0.099 0.698
## 1393 0.850 -0.104 0.623
## 1394 0.945 0.132 NA
## 1395 0.877 -0.054 0.868
## 1396 0.829 -0.157 0.855
## 1397 0.922 0.239 0.399
## 1398 0.779 -0.020 0.760
## 1399 0.947 0.018 0.503
## 1400 0.926 0.101 0.301
## 1401 0.844 0.127 0.690
## 1402 0.941 0.164 0.812
## 1403 0.618 -0.087 0.768
## 1404 0.769 NA 0.560
## 1405 0.603 -0.079 0.676
## 1406 0.825 -0.118 0.544
## 1407 0.774 -0.132 NA
## 1408 0.911 0.129 NA
## 1409 0.889 0.021 0.752
## 1410 0.924 0.057 0.164
## 1411 0.797 0.009 0.713
## 1412 0.739 -0.202 0.791
## 1413 0.906 0.033 0.677
## 1414 0.642 -0.017 0.785
## 1415 0.821 -0.147 0.650
## 1416 0.843 0.095 0.688
## 1417 0.857 0.355 0.484
## 1418 0.835 -0.100 0.898
## 1419 0.886 -0.141 0.621
## 1420 0.962 0.216 NA
## 1421 0.827 0.094 0.844
## 1422 0.840 -0.085 0.808
## 1423 0.910 0.146 0.289
## 1424 0.937 0.152 0.965
## 1425 0.921 -0.001 0.361
## 1426 0.924 NA 0.598
## 1427 0.887 0.050 0.434
## 1428 0.749 -0.028 0.811
## 1429 0.948 -0.027 0.250
## 1430 0.891 0.017 0.574
## 1431 0.882 0.014 0.356
## 1432 0.646 0.105 0.820
## 1433 0.840 -0.062 0.727
## 1434 0.809 0.077 0.728
## 1435 0.779 -0.036 0.763
## 1436 0.900 0.099 0.557
## 1437 0.913 0.036 0.294
## 1438 0.833 0.300 0.456
## 1439 0.840 0.141 0.917
## 1440 0.794 -0.117 0.820
## 1441 0.861 0.001 0.512
## 1442 0.905 -0.020 0.760
## 1443 0.892 0.233 0.409
## 1444 0.939 0.127 0.432
## 1445 0.927 0.418 0.775
## 1446 0.907 0.021 0.756
## 1447 0.964 0.088 0.821
## 1448 0.926 0.136 0.162
## 1449 0.878 -0.125 0.699
## 1450 0.825 0.470 0.647
## 1451 0.805 -0.015 0.808
## 1452 0.757 -0.060 0.881
## 1453 0.847 -0.007 0.810
## 1454 0.738 -0.134 0.820
## 1455 0.649 -0.084 NA
## 1456 0.678 -0.225 0.776
## 1457 0.545 -0.041 0.861
## 1458 0.779 -0.094 0.630
## 1459 0.887 0.150 0.099
## 1460 0.938 0.106 0.366
## 1461 0.775 0.689 0.638
## 1462 0.850 0.017 0.644
## 1463 0.935 0.103 0.931
## 1464 0.661 0.119 0.857
## 1465 0.795 -0.042 0.763
## 1466 0.769 0.041 0.812
## 1467 0.912 0.125 0.314
## 1468 0.887 -0.096 0.576
## 1469 0.904 0.071 0.679
## 1470 0.877 0.679 0.607
## 1471 0.701 0.112 0.753
## 1472 0.932 -0.116 0.744
## 1473 0.744 0.168 0.634
## 1474 0.719 0.440 0.691
## 1475 0.954 0.061 0.536
## 1476 0.862 -0.101 0.668
## 1477 0.869 0.062 0.469
## 1478 0.851 -0.080 0.556
## 1479 0.790 -0.010 0.866
## 1480 0.792 0.018 0.802
## 1481 0.912 -0.051 0.755
## 1482 0.717 0.039 0.731
## 1483 0.861 0.083 0.817
## 1484 0.753 -0.098 0.751
## 1485 0.758 0.144 0.739
## 1486 0.954 -0.082 0.398
## 1487 0.892 0.074 0.373
## 1488 0.832 -0.158 0.471
## 1489 0.908 -0.084 0.491
## 1490 0.834 -0.072 0.662
## 1491 0.696 -0.070 0.862
## 1492 0.893 -0.053 0.810
## 1493 0.824 0.176 0.879
## 1494 0.752 0.078 0.857
## 1495 0.894 0.002 0.847
## 1496 0.786 -0.040 0.860
## 1497 0.747 0.149 0.734
## 1498 0.928 0.109 0.210
## 1499 NA NA NA
## 1500 NA -0.244 NA
## 1501 0.875 0.174 0.399
## 1502 0.908 0.096 0.423
## 1503 0.832 -0.186 0.841
## 1504 0.786 0.108 0.702
## 1505 0.848 0.014 0.788
## 1506 0.659 -0.103 0.860
## 1507 0.830 -0.178 0.906
## 1508 0.881 0.018 0.832
## 1509 0.666 0.191 0.756
## 1510 0.836 0.140 0.826
## 1511 0.873 -0.119 0.778
## 1512 0.830 0.277 0.634
## 1513 0.781 -0.101 0.839
## 1514 0.900 0.553 0.920
## 1515 0.652 0.066 0.900
## 1516 0.861 0.144 0.362
## 1517 0.935 0.274 0.368
## 1518 0.803 -0.118 0.656
## 1519 0.570 -0.199 0.827
## 1520 0.638 -0.079 0.880
## 1521 0.830 -0.115 0.839
## 1522 0.603 0.311 0.960
## 1523 0.753 -0.050 0.841
## 1524 0.570 -0.069 0.864
## 1525 0.901 0.069 0.721
## 1526 0.887 0.007 0.652
## 1527 0.817 0.104 0.699
## 1528 0.902 -0.015 0.787
## 1529 0.956 0.210 0.825
## 1530 0.630 -0.030 0.846
## 1531 0.863 0.331 0.935
## 1532 0.935 0.170 0.239
## 1533 0.891 0.125 0.342
## 1534 0.819 0.172 0.849
## 1535 0.884 0.331 0.558
## 1536 0.792 0.274 0.747
## 1537 0.849 0.219 0.698
## 1538 0.906 0.136 NA
## 1539 0.669 -0.064 0.694
## 1540 0.896 0.131 0.546
## 1541 0.941 0.161 0.269
## 1542 0.780 0.044 0.884
## 1543 0.917 0.059 0.403
## 1544 0.836 0.144 0.707
## 1545 0.734 0.195 0.782
## 1546 0.825 0.116 0.710
## 1547 0.781 0.033 0.812
## 1548 0.912 0.157 0.234
## 1549 0.945 0.369 0.382
## 1550 0.637 0.169 0.886
## 1551 0.918 0.146 0.246
## 1552 0.923 0.212 0.884
## 1553 0.670 -0.095 0.747
## 1554 0.691 0.066 0.841
## 1555 0.831 0.026 0.729
## 1556 0.783 0.095 0.884
## 1557 0.824 0.051 0.863
## 1558 0.853 -0.092 NA
## 1559 NA -0.176 NA
## 1560 0.942 0.294 0.222
## 1561 0.838 0.087 0.959
## 1562 0.806 -0.054 0.656
## 1563 0.698 -0.027 0.868
## 1564 0.935 0.211 0.232
## 1565 0.896 0.344 0.445
## 1566 0.938 0.052 0.214
## 1567 0.785 -0.095 0.707
## 1568 0.663 0.172 0.706
## 1569 0.882 NA 0.745
## 1570 0.746 NA 0.513
## 1571 0.635 0.019 0.918
## 1572 0.868 0.425 0.933
## 1573 0.707 0.060 0.881
## 1574 0.933 0.269 0.432
## 1575 0.759 0.331 0.548
## 1576 0.628 0.136 0.810
## 1577 0.838 NA 0.720
## 1578 0.824 -0.186 NA
## 1579 0.640 0.083 0.915
## 1580 0.864 0.221 0.292
## 1581 0.447 0.055 0.715
## 1582 0.814 NA 0.764
## 1583 0.855 -0.050 0.758
## 1584 0.782 -0.078 0.688
## 1585 0.757 -0.015 0.912
## 1586 0.696 0.015 0.834
## 1587 0.846 -0.211 0.855
## 1588 0.956 0.247 0.890
## 1589 0.815 -0.130 0.874
## 1590 0.934 NA NA
## 1591 0.698 0.022 0.803
## 1592 0.808 -0.185 NA
## 1593 0.935 0.018 0.151
## 1594 0.919 0.290 0.408
## 1595 0.878 -0.175 NA
## 1596 0.607 -0.067 0.917
## 1597 0.908 -0.071 0.792
## 1598 0.920 0.118 0.771
## 1599 0.874 -0.009 0.858
## 1600 0.912 0.112 0.436
## 1601 0.822 -0.172 0.854
## 1602 0.830 -0.134 0.866
## 1603 0.915 0.141 0.748
## 1604 0.942 0.077 0.263
## 1605 0.738 0.259 0.769
## 1606 0.941 0.302 0.490
## 1607 0.949 0.060 0.283
## 1608 0.954 0.111 0.271
## 1609 0.947 0.147 0.368
## 1610 0.965 0.075 0.271
## 1611 0.678 -0.132 0.865
## 1612 0.904 0.143 0.047
## 1613 0.875 0.127 0.894
## 1614 0.955 0.155 0.181
## 1615 0.710 -0.178 0.692
## 1616 0.946 0.106 0.372
## 1617 0.823 0.145 0.760
## 1618 0.677 -0.116 0.828
## 1619 0.677 -0.128 0.785
## 1620 0.970 0.318 0.520
## 1621 0.912 0.211 0.385
## 1622 0.713 0.347 0.915
## 1623 0.851 -0.148 0.855
## 1624 0.733 -0.157 0.852
## 1625 0.671 -0.091 0.901
## 1626 0.635 0.136 0.918
## 1627 NA -0.228 NA
## 1628 0.942 0.091 0.250
## 1629 0.891 0.347 0.513
## 1630 0.916 0.305 0.431
## 1631 0.723 -0.063 0.806
## 1632 0.888 -0.043 0.586
## 1633 0.817 -0.211 0.830
## 1634 0.733 -0.156 0.805
## 1635 0.761 0.035 0.755
## 1636 0.772 -0.140 0.770
## 1637 0.960 0.094 0.268
## 1638 0.911 NA 0.600
## 1639 0.868 0.197 0.681
## 1640 0.932 0.240 0.206
## 1641 0.766 -0.226 0.772
## 1642 0.807 0.022 0.697
## 1643 0.653 -0.141 0.881
## 1644 0.716 -0.150 0.772
## 1645 0.936 0.159 0.324
## 1646 0.886 0.416 0.637
## 1647 0.941 0.222 0.191
## 1648 0.872 0.197 0.633
## 1649 0.643 0.197 0.755
## 1650 0.836 0.018 0.712
## 1651 0.879 -0.167 0.734
## 1652 0.816 -0.050 0.815
## 1653 0.859 0.106 0.856
## 1654 0.683 -0.155 0.786
## 1655 0.701 0.019 0.857
## 1656 0.879 0.291 0.614
## 1657 0.870 0.391 0.898
## 1658 0.718 0.027 0.857
## 1659 0.769 0.032 0.844
## 1660 0.960 0.109 0.397
## 1661 0.916 0.091 0.413
## 1662 0.942 0.118 0.237
## 1663 0.811 -0.073 0.847
## 1664 0.906 -0.127 0.884
## 1665 0.850 0.080 0.793
## 1666 0.828 0.063 0.841
## 1667 0.719 -0.049 0.811
## 1668 0.905 0.141 0.253
## 1669 0.663 0.003 0.882
## 1670 0.927 0.266 0.278
## 1671 0.905 0.216 0.337
## 1672 0.900 -0.170 0.841
## 1673 0.939 0.270 0.442
## 1674 0.767 -0.055 0.723
## 1675 0.789 -0.060 0.816
## 1676 0.670 -0.063 0.830
## 1677 0.847 0.128 0.948
## 1678 0.830 0.500 0.890
## 1679 0.942 0.329 0.186
## 1680 0.916 0.123 0.782
## 1681 0.956 0.181 0.405
## 1682 0.904 0.261 0.412
## 1683 0.874 NA 0.456
## 1684 0.932 0.317 0.366
## 1685 0.630 0.206 0.796
## 1686 0.823 0.215 0.710
## 1687 0.866 0.221 0.702
## 1688 0.944 0.237 0.312
## 1689 0.924 0.356 0.878
## 1690 0.880 -0.014 0.711
## 1691 0.902 0.302 0.573
## 1692 0.843 0.108 0.804
## 1693 0.883 0.029 0.622
## 1694 0.805 -0.158 NA
## 1695 0.959 NA 0.699
## 1696 0.962 0.106 0.388
## 1697 0.948 0.138 0.210
## 1698 0.945 0.202 0.250
## 1699 0.796 -0.064 0.909
## 1700 0.863 0.161 0.697
## 1701 0.898 -0.091 0.627
## 1702 0.760 -0.070 0.743
## 1703 0.748 0.200 0.774
## 1704 0.700 0.448 0.954
## 1705 0.927 0.010 0.788
## 1706 0.838 -0.157 0.875
## 1707 0.778 -0.194 0.781
## 1708 0.907 0.239 0.433
## 1709 0.886 0.213 0.360
## 1710 0.812 0.111 0.572
## 1711 0.790 -0.020 0.836
## 1712 0.985 0.123 0.465
## 1713 0.957 0.256 0.503
## 1714 0.859 0.039 0.636
## 1715 0.791 -0.100 0.843
## 1716 0.924 -0.126 0.583
## 1717 0.958 0.076 0.840
## 1718 0.980 0.375 0.471
## 1719 0.964 NA NA
## 1720 0.778 -0.048 0.693
## 1721 0.816 -0.174 0.755
## 1722 0.642 -0.220 0.837
## 1723 0.737 -0.108 0.774
## 1724 0.835 0.154 0.133
## 1725 0.984 0.208 NA
## 1726 0.636 -0.078 0.735
## 1727 0.898 0.072 0.783
## 1728 0.737 -0.130 0.823
## 1729 0.886 -0.072 0.676
## 1730 0.848 -0.192 0.851
## 1731 0.868 0.299 0.791
## 1732 0.905 0.259 0.907
## 1733 0.898 0.309 0.877
## 1734 0.948 0.257 0.299
## 1735 0.861 -0.202 0.801
## 1736 0.935 NA 0.390
## 1737 0.831 0.201 0.665
## 1738 0.757 -0.055 0.837
## 1739 0.640 -0.094 0.801
## 1740 0.900 0.336 0.438
## 1741 0.889 0.371 0.425
## 1742 0.912 0.096 0.816
## 1743 0.763 0.009 0.863
## 1744 0.957 0.013 0.828
## 1745 0.799 NA 0.711
## 1746 0.677 0.005 0.821
## 1747 0.949 0.120 0.207
## 1748 0.970 0.304 0.511
## 1749 0.882 -0.047 0.912
## 1750 0.931 0.253 0.427
## 1751 0.958 0.036 NA
## 1752 0.690 0.002 0.841
## 1753 0.781 0.456 0.925
## 1754 0.769 -0.236 0.328
## 1755 0.730 -0.126 0.855
## 1756 0.816 0.341 0.559
## 1757 0.859 0.015 0.911
## 1758 0.828 -0.009 0.868
## 1759 0.915 -0.059 0.800
## 1760 0.874 0.004 0.805
## 1761 0.863 0.011 0.812
## 1762 0.846 -0.015 0.774
## 1763 0.918 0.254 0.321
## 1764 0.801 -0.090 0.887
## 1765 0.700 -0.003 0.871
## 1766 0.825 -0.084 0.730
## 1767 0.741 NA 0.736
## 1768 0.932 0.348 0.273
## 1769 0.902 0.319 0.859
## 1770 0.927 -0.146 0.836
## 1771 0.693 0.092 0.866
## 1772 0.940 0.301 0.639
## 1773 0.682 -0.076 0.764
## 1774 0.953 0.236 0.250
## 1775 0.918 0.125 0.283
## 1776 0.649 0.057 0.891
## 1777 0.758 -0.172 0.778
## 1778 0.954 0.133 0.410
## 1779 0.696 0.166 0.795
## 1780 0.671 -0.103 0.648
## 1781 0.898 0.018 0.813
## 1782 0.846 0.063 0.815
## 1783 0.907 -0.059 0.761
## 1784 0.922 0.010 0.673
## 1785 0.916 0.316 0.406
## 1786 0.787 -0.191 0.646
## 1787 0.841 -0.071 0.898
## 1788 0.869 0.051 0.822
## 1789 0.801 -0.114 0.666
## 1790 0.883 0.073 0.783
## 1791 0.920 0.250 0.363
## 1792 0.719 0.408 0.970
## 1793 0.907 0.141 0.634
## 1794 0.921 0.349 0.399
## 1795 NA -0.217 NA
## 1796 0.893 0.298 0.334
## 1797 0.878 0.279 0.295
## 1798 0.847 0.380 0.909
## 1799 0.944 0.132 0.254
## 1800 0.726 0.076 0.780
## 1801 0.737 0.085 0.741
## 1802 0.895 -0.159 NA
## 1803 0.918 0.290 0.466
## 1804 0.745 -0.164 0.854
## 1805 0.747 -0.148 0.817
## 1806 NA 0.698 0.592
## 1807 0.650 0.089 0.844
## 1808 0.804 -0.193 0.743
## 1809 0.884 -0.102 0.837
## 1810 0.876 0.028 0.882
## 1811 0.945 0.139 0.323
## 1812 0.798 -0.031 0.646
## 1813 0.752 -0.153 0.809
## 1814 0.777 -0.016 0.728
## 1815 0.881 -0.174 0.851
## 1816 0.719 -0.167 0.661
## 1817 0.901 -0.062 0.773
## 1818 0.834 0.268 0.650
## 1819 0.814 NA 0.718
## 1820 0.971 NA 0.237
## 1821 0.834 0.268 0.842
## 1822 0.863 -0.095 0.801
## 1823 0.867 0.478 0.580
## 1824 0.877 0.288 0.434
## 1825 0.828 0.244 0.690
## 1826 0.768 -0.155 0.754
## 1827 0.963 0.020 0.174
## 1828 0.920 0.215 0.170
## 1829 0.920 0.161 0.371
## 1830 0.835 0.315 0.580
## 1831 0.788 -0.155 0.702
## 1832 0.949 0.160 0.644
## 1833 0.841 0.403 0.587
## 1834 0.925 0.336 0.359
## 1835 0.945 0.163 0.362
## 1836 0.534 -0.097 0.848
## 1837 0.865 0.488 0.900
## 1838 0.865 0.020 0.821
## 1839 0.800 0.161 0.823
## 1840 0.935 0.284 0.269
## 1841 0.683 -0.056 0.807
## 1842 0.637 -0.130 0.885
## 1843 0.903 -0.141 0.809
## 1844 0.922 NA 0.398
## 1845 0.878 0.438 0.962
## 1846 0.879 0.512 0.868
## 1847 0.952 0.383 0.590
## 1848 0.784 0.191 0.911
## 1849 0.914 0.053 0.771
## 1850 0.902 0.287 0.289
## 1851 0.806 -0.008 0.863
## 1852 0.808 0.688 0.633
## 1853 0.848 0.017 0.847
## 1854 0.699 0.132 0.930
## 1855 0.512 -0.117 0.813
## 1856 0.919 0.305 0.505
## 1857 0.915 0.246 0.413
## 1858 0.884 0.045 0.817
## 1859 0.910 0.331 0.457
## 1860 0.882 0.060 0.798
## 1861 0.783 -0.002 0.796
## 1862 0.639 -0.015 0.785
## 1863 0.811 0.018 0.814
## 1864 0.901 NA 0.571
## 1865 0.904 -0.073 0.533
## 1866 0.652 0.102 0.858
## 1867 0.923 0.306 0.713
## 1868 0.733 0.217 0.758
## 1869 0.942 -0.107 0.781
## 1870 0.910 -0.010 0.765
## 1871 0.877 -0.109 0.682
## 1872 0.878 0.255 0.668
## 1873 0.930 0.249 0.406
## 1874 0.872 0.099 0.804
## 1875 0.891 0.073 0.592
## 1876 0.952 0.281 0.719
## 1877 0.936 -0.076 0.742
## 1878 0.873 -0.032 0.781
## 1879 0.894 0.322 0.487
## 1880 0.923 0.098 0.820
## 1881 0.747 -0.126 0.707
## 1882 0.856 0.348 0.618
## 1883 0.886 0.065 0.787
## 1884 0.926 -0.033 0.837
## 1885 0.779 0.471 0.946
## 1886 0.893 0.033 0.812
## 1887 0.869 -0.099 0.831
## 1888 0.876 -0.097 0.683
## 1889 0.866 0.555 0.861
## 1890 0.943 0.242 0.473
## 1891 0.883 -0.199 0.869
## 1892 0.906 0.061 0.620
## 1893 0.963 0.052 0.863
## 1894 0.934 0.230 0.413
## 1895 0.885 0.272 0.708
## 1896 0.932 0.312 0.224
## 1897 0.951 0.253 0.433
## 1898 0.816 -0.179 0.809
## 1899 0.721 0.014 0.889
## 1900 0.861 -0.131 0.837
## 1901 0.829 0.009 0.840
## 1902 0.925 0.439 0.688
## 1903 0.881 0.047 0.763
## 1904 0.840 -0.016 0.842
## 1905 0.755 -0.009 0.880
## 1906 0.903 -0.095 0.599
## 1907 0.926 0.262 0.370
## 1908 0.927 -0.173 NA
## 1909 0.917 NA 0.441
## 1910 0.781 0.376 0.973
## 1911 0.917 -0.032 0.673
## 1912 0.939 0.246 0.727
## 1913 0.770 0.354 0.962
## 1914 0.929 0.046 0.794
## 1915 0.868 0.525 0.904
## 1916 0.905 0.241 0.759
## 1917 0.882 0.459 0.587
## 1918 0.860 0.536 0.917
## 1919 0.968 NA 0.410
## 1920 0.891 0.003 0.810
## 1921 0.775 0.078 0.900
## 1922 0.885 0.316 0.914
## 1923 NA 0.232 NA
## 1924 0.909 0.046 0.903
## 1925 0.854 -0.071 0.756
## 1926 0.927 0.400 0.923
## 1927 0.759 -0.002 0.762
## 1928 0.736 -0.098 0.789
## 1929 0.630 NA 0.844
## 1930 0.640 -0.220 0.696
## 1931 0.936 NA NA
## 1932 0.916 0.025 NA
## 1933 NA 0.090 0.849
## 1934 0.819 0.116 0.879
## 1935 NA -0.050 0.710
## 1936 0.593 -0.205 0.618
## 1937 NA NA NA
## 1938 0.764 -0.058 0.597
## 1939 0.762 -0.186 NA
## 1940 0.726 -0.165 NA
## 1941 0.779 -0.150 NA
## 1942 NA NA NA
## 1943 0.855 0.024 NA
## 1944 0.663 -0.162 0.900
## 1945 NA 0.104 NA
## 1946 NA NA NA
## 1947 0.781 -0.119 0.722
## 1948 NA NA NA
## 1949 NA NA NA
## Positive.affect Negative.affect
## 1 0.322 0.494
## 2 0.351 0.502
## 3 0.362 0.379
## 4 0.369 0.643
## 5 0.384 0.440
## 6 0.387 0.622
## 7 0.421 0.377
## 8 0.422 0.368
## 9 0.423 0.449
## 10 0.424 0.405
## 11 0.427 0.236
## 12 0.433 0.269
## 13 0.435 0.351
## 14 0.440 0.253
## 15 0.441 0.262
## 16 0.446 0.300
## 17 0.450 0.236
## 18 0.450 0.313
## 19 0.455 0.295
## 20 0.460 0.382
## 21 0.461 0.315
## 22 0.462 0.314
## 23 0.464 0.271
## 24 0.464 0.705
## 25 0.465 0.390
## 26 0.469 0.228
## 27 0.470 0.266
## 28 0.473 0.272
## 29 0.475 0.459
## 30 0.480 0.262
## 31 0.480 0.395
## 32 0.483 0.144
## 33 0.483 0.377
## 34 0.488 0.557
## 35 0.489 0.570
## 36 0.490 0.581
## 37 0.491 0.283
## 38 0.492 0.242
## 39 0.492 0.285
## 40 0.494 0.296
## 41 0.494 0.469
## 42 0.496 0.303
## 43 0.496 0.371
## 44 0.497 0.431
## 45 0.498 0.326
## 46 0.499 0.339
## 47 0.499 0.409
## 48 0.500 0.208
## 49 0.502 0.243
## 50 0.502 0.263
## 51 0.502 0.299
## 52 0.503 0.285
## 53 0.503 0.321
## 54 0.505 0.381
## 55 0.505 0.388
## 56 0.505 0.591
## 57 0.507 0.321
## 58 0.507 0.412
## 59 0.509 0.242
## 60 0.510 0.183
## 61 0.510 0.235
## 62 0.510 0.287
## 63 0.510 0.326
## 64 0.510 0.426
## 65 0.512 0.276
## 66 0.513 0.227
## 67 0.513 0.438
## 68 0.514 0.290
## 69 0.514 0.371
## 70 0.515 0.244
## 71 0.515 0.247
## 72 0.517 0.214
## 73 0.517 0.239
## 74 0.517 0.313
## 75 0.517 0.409
## 76 0.518 0.258
## 77 0.518 0.464
## 78 0.519 0.350
## 79 0.521 0.249
## 80 0.521 0.284
## 81 0.521 0.327
## 82 0.521 0.350
## 83 0.521 0.385
## 84 0.521 0.423
## 85 0.523 0.181
## 86 0.523 0.257
## 87 0.523 0.304
## 88 0.523 0.404
## 89 0.524 0.277
## 90 0.525 0.242
## 91 0.525 0.341
## 92 0.525 0.448
## 93 0.526 0.271
## 94 0.527 0.272
## 95 0.527 0.316
## 96 0.527 0.365
## 97 0.527 0.398
## 98 0.528 0.401
## 99 0.529 0.353
## 100 0.529 0.403
## 101 0.531 0.262
## 102 0.532 0.193
## 103 0.532 0.375
## 104 0.532 0.415
## 105 0.533 0.276
## 106 0.534 0.271
## 107 0.534 0.286
## 108 0.534 0.370
## 109 0.535 0.298
## 110 0.536 0.223
## 111 0.536 0.258
## 112 0.536 0.329
## 113 0.536 0.357
## 114 0.537 0.348
## 115 0.537 0.369
## 116 0.537 0.387
## 117 0.538 0.327
## 118 0.539 0.293
## 119 0.539 0.331
## 120 0.539 0.414
## 121 0.539 0.433
## 122 0.541 0.233
## 123 0.541 0.303
## 124 0.541 0.361
## 125 0.542 0.431
## 126 0.543 0.213
## 127 0.543 0.294
## 128 0.543 0.327
## 129 0.543 0.358
## 130 0.543 0.411
## 131 0.543 0.443
## 132 0.544 0.234
## 133 0.544 0.315
## 134 0.544 0.435
## 135 0.544 0.466
## 136 0.544 0.514
## 137 0.545 0.287
## 138 0.545 0.300
## 139 0.545 0.410
## 140 0.546 0.238
## 141 0.547 0.233
## 142 0.548 0.270
## 143 0.548 0.320
## 144 0.548 0.338
## 145 0.550 0.255
## 146 0.551 0.269
## 147 0.551 0.404
## 148 0.551 0.483
## 149 0.552 0.466
## 150 0.553 0.246
## 151 0.553 0.263
## 152 0.553 0.367
## 153 0.553 0.493
## 154 0.553 0.544
## 155 0.554 0.182
## 156 0.554 0.266
## 157 0.554 0.339
## 158 0.555 0.293
## 159 0.556 0.343
## 160 0.557 0.221
## 161 0.557 NA
## 162 0.558 0.225
## 163 0.558 0.266
## 164 0.558 0.305
## 165 0.559 0.250
## 166 0.559 0.267
## 167 0.559 0.296
## 168 0.559 0.305
## 169 0.559 0.323
## 170 0.560 0.232
## 171 0.560 0.235
## 172 0.562 0.306
## 173 0.562 0.450
## 174 0.563 0.222
## 175 0.564 0.223
## 176 0.564 0.323
## 177 0.564 0.340
## 178 0.565 0.345
## 179 0.565 0.348
## 180 0.565 0.380
## 181 0.566 0.169
## 182 0.566 0.195
## 183 0.566 0.223
## 184 0.566 0.276
## 185 0.566 0.412
## 186 0.567 0.208
## 187 0.567 0.276
## 188 0.567 0.314
## 189 0.567 0.377
## 190 0.567 0.388
## 191 0.568 0.243
## 192 0.568 0.285
## 193 0.568 0.314
## 194 0.568 0.330
## 195 0.569 0.214
## 196 0.569 0.225
## 197 0.570 0.193
## 198 0.570 0.204
## 199 0.570 0.215
## 200 0.570 0.275
## 201 0.570 0.334
## 202 0.571 0.203
## 203 0.571 0.306
## 204 0.571 0.376
## 205 0.571 0.403
## 206 0.572 0.390
## 207 0.573 0.186
## 208 0.573 0.237
## 209 0.573 0.244
## 210 0.573 0.298
## 211 0.573 0.320
## 212 0.573 0.322
## 213 0.574 0.241
## 214 0.574 0.292
## 215 0.574 0.379
## 216 0.574 0.564
## 217 0.575 0.212
## 218 0.575 0.329
## 219 0.576 0.242
## 220 0.576 0.304
## 221 0.576 0.334
## 222 0.576 0.370
## 223 0.578 0.227
## 224 0.578 0.320
## 225 0.578 0.331
## 226 0.578 0.359
## 227 0.579 0.181
## 228 0.579 0.205
## 229 0.579 0.340
## 230 0.579 0.359
## 231 0.579 0.368
## 232 0.579 0.494
## 233 0.580 0.263
## 234 0.580 0.337
## 235 0.581 0.210
## 236 0.581 0.259
## 237 0.581 0.277
## 238 0.581 0.294
## 239 0.581 0.352
## 240 0.581 0.404
## 241 0.581 0.424
## 242 0.581 0.455
## 243 0.582 0.261
## 244 0.582 0.270
## 245 0.582 0.290
## 246 0.582 0.290
## 247 0.582 0.308
## 248 0.582 0.332
## 249 0.582 0.468
## 250 0.582 0.470
## 251 0.583 0.189
## 252 0.583 0.190
## 253 0.583 0.231
## 254 0.583 0.260
## 255 0.583 0.374
## 256 0.583 0.443
## 257 0.584 0.117
## 258 0.584 0.184
## 259 0.584 0.237
## 260 0.584 0.278
## 261 0.584 0.284
## 262 0.584 0.292
## 263 0.584 0.303
## 264 0.584 0.359
## 265 0.584 0.456
## 266 0.585 0.192
## 267 0.585 0.215
## 268 0.585 0.261
## 269 0.585 0.295
## 270 0.585 0.354
## 271 0.585 0.439
## 272 0.586 0.173
## 273 0.586 0.249
## 274 0.586 0.308
## 275 0.586 0.337
## 276 0.586 0.365
## 277 0.586 0.450
## 278 0.586 0.517
## 279 0.587 0.256
## 280 0.587 0.309
## 281 0.587 0.368
## 282 0.587 0.384
## 283 0.587 0.460
## 284 0.588 0.206
## 285 0.588 0.248
## 286 0.588 0.363
## 287 0.588 0.448
## 288 0.589 0.171
## 289 0.589 0.187
## 290 0.589 0.220
## 291 0.589 0.279
## 292 0.589 0.301
## 293 0.589 0.381
## 294 0.589 0.410
## 295 0.590 0.217
## 296 0.590 0.220
## 297 0.590 0.254
## 298 0.590 0.273
## 299 0.590 0.281
## 300 0.590 0.285
## 301 0.590 0.298
## 302 0.590 0.355
## 303 0.590 0.444
## 304 0.591 0.190
## 305 0.591 0.264
## 306 0.591 0.289
## 307 0.591 0.293
## 308 0.591 0.323
## 309 0.591 0.337
## 310 0.591 0.366
## 311 0.592 0.198
## 312 0.592 0.243
## 313 0.592 0.365
## 314 0.592 0.373
## 315 0.592 0.379
## 316 0.593 0.191
## 317 0.593 0.250
## 318 0.593 0.284
## 319 0.593 0.327
## 320 0.593 0.378
## 321 0.594 0.166
## 322 0.594 0.226
## 323 0.594 0.249
## 324 0.594 0.250
## 325 0.594 0.365
## 326 0.594 0.369
## 327 0.594 0.437
## 328 0.594 0.438
## 329 0.595 0.200
## 330 0.595 0.217
## 331 0.595 0.276
## 332 0.595 0.400
## 333 0.595 0.410
## 334 0.596 0.100
## 335 0.596 0.235
## 336 0.596 0.236
## 337 0.596 0.286
## 338 0.596 0.326
## 339 0.596 0.344
## 340 0.597 0.218
## 341 0.597 0.235
## 342 0.597 0.271
## 343 0.597 0.416
## 344 0.598 0.169
## 345 0.598 0.191
## 346 0.598 0.220
## 347 0.598 0.243
## 348 0.598 0.272
## 349 0.598 0.273
## 350 0.598 0.274
## 351 0.598 0.316
## 352 0.598 0.430
## 353 0.599 0.160
## 354 0.599 0.358
## 355 0.599 0.382
## 356 0.599 0.416
## 357 0.599 0.442
## 358 0.599 0.496
## 359 0.600 0.312
## 360 0.600 0.321
## 361 0.600 0.348
## 362 0.600 0.449
## 363 0.600 0.495
## 364 0.601 0.165
## 365 0.601 0.253
## 366 0.601 0.411
## 367 0.602 0.131
## 368 0.603 0.142
## 369 0.603 0.251
## 370 0.603 0.278
## 371 0.603 0.325
## 372 0.603 0.333
## 373 0.603 0.358
## 374 0.603 0.378
## 375 0.603 0.411
## 376 0.604 0.186
## 377 0.604 0.230
## 378 0.604 0.244
## 379 0.604 0.271
## 380 0.604 0.483
## 381 0.605 0.203
## 382 0.605 0.269
## 383 0.605 0.365
## 384 0.605 0.482
## 385 0.606 0.160
## 386 0.606 0.261
## 387 0.606 0.271
## 388 0.606 0.274
## 389 0.607 0.165
## 390 0.607 0.206
## 391 0.607 0.259
## 392 0.607 0.271
## 393 0.607 0.358
## 394 0.608 0.195
## 395 0.608 0.228
## 396 0.608 0.256
## 397 0.608 0.446
## 398 0.608 0.456
## 399 0.608 0.456
## 400 0.609 0.206
## 401 0.609 0.210
## 402 0.609 0.222
## 403 0.609 0.257
## 404 0.609 0.294
## 405 0.609 0.304
## 406 0.609 0.305
## 407 0.609 0.312
## 408 0.609 0.338
## 409 0.609 0.525
## 410 0.610 0.291
## 411 0.610 0.304
## 412 0.610 0.314
## 413 0.610 0.344
## 414 0.610 0.419
## 415 0.611 0.174
## 416 0.611 0.232
## 417 0.611 0.267
## 418 0.611 0.276
## 419 0.611 0.295
## 420 0.611 0.370
## 421 0.612 0.189
## 422 0.612 0.212
## 423 0.612 0.260
## 424 0.612 0.378
## 425 0.613 0.296
## 426 0.613 0.332
## 427 0.613 0.435
## 428 0.614 0.189
## 429 0.614 0.215
## 430 0.614 0.245
## 431 0.614 0.256
## 432 0.614 0.287
## 433 0.614 0.337
## 434 0.614 0.345
## 435 0.614 0.426
## 436 0.614 0.428
## 437 0.614 0.599
## 438 0.615 0.221
## 439 0.615 0.286
## 440 0.615 0.348
## 441 0.615 0.458
## 442 0.615 0.549
## 443 0.616 0.337
## 444 0.616 0.379
## 445 0.617 0.208
## 446 0.618 0.275
## 447 0.618 0.284
## 448 0.618 0.512
## 449 0.619 0.192
## 450 0.619 0.209
## 451 0.619 0.242
## 452 0.619 0.246
## 453 0.619 0.255
## 454 0.619 0.287
## 455 0.619 0.333
## 456 0.620 0.291
## 457 0.620 0.299
## 458 0.621 0.243
## 459 0.621 0.254
## 460 0.621 0.273
## 461 0.621 0.275
## 462 0.621 0.288
## 463 0.621 0.380
## 464 0.622 0.172
## 465 0.622 0.249
## 466 0.622 0.271
## 467 0.622 0.443
## 468 0.623 0.147
## 469 0.623 0.193
## 470 0.623 0.216
## 471 0.623 0.232
## 472 0.623 0.235
## 473 0.623 0.278
## 474 0.623 0.280
## 475 0.623 0.327
## 476 0.623 0.423
## 477 0.624 0.345
## 478 0.625 0.245
## 479 0.625 0.302
## 480 0.625 0.400
## 481 0.625 0.414
## 482 0.625 0.437
## 483 0.626 0.177
## 484 0.626 0.219
## 485 0.626 0.272
## 486 0.626 0.361
## 487 0.626 0.372
## 488 0.627 0.170
## 489 0.627 0.370
## 490 0.628 0.236
## 491 0.628 0.257
## 492 0.628 0.358
## 493 0.628 0.381
## 494 0.628 0.392
## 495 0.628 0.538
## 496 0.629 0.263
## 497 0.629 0.279
## 498 0.629 0.292
## 499 0.629 0.295
## 500 0.629 0.326
## 501 0.629 0.351
## 502 0.630 0.287
## 503 0.630 0.386
## 504 0.631 0.250
## 505 0.631 0.262
## 506 0.631 0.283
## 507 0.631 0.328
## 508 0.632 0.377
## 509 0.633 0.238
## 510 0.633 0.260
## 511 0.634 0.201
## 512 0.634 0.230
## 513 0.634 0.240
## 514 0.634 0.292
## 515 0.634 0.338
## 516 0.634 0.446
## 517 0.635 0.226
## 518 0.635 0.249
## 519 0.635 0.266
## 520 0.635 0.274
## 521 0.635 0.313
## 522 0.635 0.392
## 523 0.636 0.142
## 524 0.636 0.206
## 525 0.636 0.208
## 526 0.636 0.255
## 527 0.636 0.260
## 528 0.636 0.389
## 529 0.636 0.509
## 530 0.637 0.268
## 531 0.637 0.272
## 532 0.637 0.272
## 533 0.637 0.287
## 534 0.637 0.307
## 535 0.638 0.286
## 536 0.638 0.416
## 537 0.639 0.122
## 538 0.639 0.189
## 539 0.639 0.215
## 540 0.639 0.292
## 541 0.639 0.349
## 542 0.640 0.185
## 543 0.640 0.201
## 544 0.640 0.247
## 545 0.640 0.279
## 546 0.640 0.296
## 547 0.640 0.329
## 548 0.640 0.397
## 549 0.640 0.432
## 550 0.641 0.164
## 551 0.641 0.240
## 552 0.641 0.244
## 553 0.641 0.303
## 554 0.641 0.304
## 555 0.641 0.312
## 556 0.641 0.418
## 557 0.642 0.227
## 558 0.642 0.232
## 559 0.642 0.289
## 560 0.642 0.305
## 561 0.642 0.339
## 562 0.642 0.346
## 563 0.642 0.356
## 564 0.642 0.422
## 565 0.643 0.152
## 566 0.643 0.164
## 567 0.643 0.192
## 568 0.643 0.213
## 569 0.643 0.214
## 570 0.643 0.221
## 571 0.643 0.225
## 572 0.643 0.239
## 573 0.643 0.277
## 574 0.643 0.343
## 575 0.644 0.220
## 576 0.644 0.275
## 577 0.644 0.277
## 578 0.644 0.325
## 579 0.644 0.346
## 580 0.644 0.532
## 581 0.645 0.190
## 582 0.645 0.265
## 583 0.645 0.297
## 584 0.645 0.335
## 585 0.645 0.405
## 586 0.645 0.520
## 587 0.646 0.222
## 588 0.647 0.199
## 589 0.647 0.260
## 590 0.647 0.277
## 591 0.647 0.291
## 592 0.647 0.468
## 593 0.648 0.232
## 594 0.648 0.248
## 595 0.648 0.251
## 596 0.648 0.300
## 597 0.648 0.332
## 598 0.648 0.353
## 599 0.648 0.383
## 600 0.648 0.466
## 601 0.649 0.179
## 602 0.649 0.254
## 603 0.649 0.294
## 604 0.649 0.403
## 605 0.650 0.123
## 606 0.650 0.194
## 607 0.650 0.208
## 608 0.650 0.244
## 609 0.651 0.179
## 610 0.651 0.205
## 611 0.651 0.238
## 612 0.651 0.281
## 613 0.651 0.338
## 614 0.651 0.346
## 615 0.651 0.372
## 616 0.651 0.395
## 617 0.652 0.226
## 618 0.652 0.285
## 619 0.652 0.307
## 620 0.652 0.315
## 621 0.652 0.327
## 622 0.652 0.352
## 623 0.653 0.208
## 624 0.653 0.283
## 625 0.653 0.301
## 626 0.654 0.192
## 627 0.654 0.231
## 628 0.654 0.234
## 629 0.654 0.331
## 630 0.655 0.130
## 631 0.655 0.159
## 632 0.655 0.215
## 633 0.655 0.237
## 634 0.655 0.316
## 635 0.655 0.321
## 636 0.656 0.168
## 637 0.656 0.196
## 638 0.656 0.235
## 639 0.656 0.251
## 640 0.656 0.276
## 641 0.656 0.284
## 642 0.656 0.302
## 643 0.657 0.357
## 644 0.657 0.371
## 645 0.658 0.266
## 646 0.658 0.371
## 647 0.659 0.261
## 648 0.659 0.357
## 649 0.659 0.361
## 650 0.659 0.441
## 651 0.659 0.552
## 652 0.660 0.202
## 653 0.660 0.272
## 654 0.660 0.313
## 655 0.660 0.370
## 656 0.660 0.436
## 657 0.661 0.217
## 658 0.661 0.262
## 659 0.661 0.265
## 660 0.661 0.323
## 661 0.661 0.377
## 662 0.662 0.130
## 663 0.662 0.232
## 664 0.662 0.367
## 665 0.663 0.200
## 666 0.663 0.276
## 667 0.663 0.282
## 668 0.663 0.316
## 669 0.664 0.206
## 670 0.664 0.213
## 671 0.664 0.228
## 672 0.664 0.347
## 673 0.665 0.154
## 674 0.665 0.218
## 675 0.665 0.319
## 676 0.665 0.332
## 677 0.665 0.355
## 678 0.666 0.176
## 679 0.666 0.243
## 680 0.666 0.255
## 681 0.666 0.277
## 682 0.666 0.363
## 683 0.667 0.173
## 684 0.667 0.268
## 685 0.668 0.137
## 686 0.668 0.236
## 687 0.668 0.253
## 688 0.668 0.305
## 689 0.668 0.391
## 690 0.668 0.410
## 691 0.669 0.177
## 692 0.669 0.185
## 693 0.669 0.221
## 694 0.669 0.252
## 695 0.669 0.331
## 696 0.669 0.334
## 697 0.670 0.222
## 698 0.670 0.223
## 699 0.670 0.311
## 700 0.670 0.388
## 701 0.671 0.198
## 702 0.671 0.295
## 703 0.672 0.167
## 704 0.672 0.226
## 705 0.672 0.256
## 706 0.673 0.199
## 707 0.673 0.247
## 708 0.673 0.252
## 709 0.674 0.164
## 710 0.674 0.245
## 711 0.674 0.259
## 712 0.674 0.276
## 713 0.674 0.425
## 714 0.675 0.160
## 715 0.675 0.214
## 716 0.675 0.290
## 717 0.675 0.322
## 718 0.675 0.325
## 719 0.676 0.189
## 720 0.676 0.201
## 721 0.676 0.233
## 722 0.676 0.346
## 723 0.677 0.170
## 724 0.677 0.203
## 725 0.677 0.285
## 726 0.678 0.112
## 727 0.678 0.205
## 728 0.678 0.235
## 729 0.678 0.254
## 730 0.678 0.258
## 731 0.678 0.308
## 732 0.679 0.129
## 733 0.679 0.130
## 734 0.679 0.195
## 735 0.679 0.228
## 736 0.679 0.265
## 737 0.679 0.295
## 738 0.679 0.318
## 739 0.679 0.362
## 740 0.680 0.165
## 741 0.680 0.180
## 742 0.680 0.203
## 743 0.680 0.330
## 744 0.680 0.355
## 745 0.681 0.109
## 746 0.681 0.151
## 747 0.681 0.268
## 748 0.681 0.274
## 749 0.681 0.397
## 750 0.682 0.164
## 751 0.682 0.204
## 752 0.682 0.218
## 753 0.682 0.270
## 754 0.682 0.318
## 755 0.682 0.386
## 756 0.683 0.240
## 757 0.683 0.301
## 758 0.683 0.310
## 759 0.684 0.150
## 760 0.684 0.236
## 761 0.684 0.243
## 762 0.684 0.286
## 763 0.684 0.322
## 764 0.684 0.326
## 765 0.685 0.216
## 766 0.685 0.235
## 767 0.685 0.335
## 768 0.685 0.339
## 769 0.685 0.387
## 770 0.685 0.390
## 771 0.685 0.423
## 772 0.685 0.473
## 773 0.686 0.217
## 774 0.686 0.252
## 775 0.686 0.271
## 776 0.686 0.317
## 777 0.687 0.199
## 778 0.687 0.246
## 779 0.687 0.281
## 780 0.687 0.355
## 781 0.687 0.374
## 782 0.687 0.526
## 783 0.688 0.151
## 784 0.688 0.226
## 785 0.688 0.285
## 786 0.688 0.315
## 787 0.688 0.350
## 788 0.688 0.392
## 789 0.689 0.181
## 790 0.689 0.190
## 791 0.689 0.196
## 792 0.689 0.482
## 793 0.690 0.172
## 794 0.690 0.194
## 795 0.690 0.226
## 796 0.690 0.246
## 797 0.690 0.265
## 798 0.690 0.305
## 799 0.690 0.382
## 800 0.691 0.182
## 801 0.691 0.200
## 802 0.691 0.211
## 803 0.691 0.345
## 804 0.691 0.365
## 805 0.692 0.149
## 806 0.692 0.153
## 807 0.692 0.191
## 808 0.692 0.203
## 809 0.692 0.260
## 810 0.692 0.264
## 811 0.692 0.307
## 812 0.692 0.327
## 813 0.692 0.329
## 814 0.692 0.389
## 815 0.693 0.162
## 816 0.693 0.340
## 817 0.693 0.385
## 818 0.693 0.413
## 819 0.694 0.133
## 820 0.694 0.171
## 821 0.694 0.246
## 822 0.694 0.258
## 823 0.694 0.439
## 824 0.695 0.118
## 825 0.695 0.154
## 826 0.695 0.154
## 827 0.695 0.220
## 828 0.695 0.303
## 829 0.695 0.316
## 830 0.695 0.327
## 831 0.695 0.346
## 832 0.695 0.385
## 833 0.696 0.124
## 834 0.696 0.240
## 835 0.696 0.280
## 836 0.696 0.308
## 837 0.696 0.320
## 838 0.696 0.372
## 839 0.697 0.209
## 840 0.697 0.244
## 841 0.697 0.256
## 842 0.697 0.267
## 843 0.697 0.375
## 844 0.697 0.379
## 845 0.697 0.420
## 846 0.698 0.166
## 847 0.698 0.244
## 848 0.698 0.277
## 849 0.698 0.357
## 850 0.698 0.409
## 851 0.698 0.434
## 852 0.699 0.207
## 853 0.699 0.425
## 854 0.700 0.114
## 855 0.700 0.166
## 856 0.700 0.348
## 857 0.701 0.226
## 858 0.701 0.230
## 859 0.701 0.241
## 860 0.701 0.260
## 861 0.701 0.322
## 862 0.701 0.336
## 863 0.702 0.155
## 864 0.702 0.161
## 865 0.702 0.172
## 866 0.702 0.199
## 867 0.702 0.216
## 868 0.702 0.319
## 869 0.703 0.132
## 870 0.703 0.185
## 871 0.703 0.248
## 872 0.703 0.267
## 873 0.703 0.309
## 874 0.703 0.346
## 875 0.703 0.351
## 876 0.703 0.353
## 877 0.703 0.400
## 878 0.704 0.150
## 879 0.704 0.263
## 880 0.704 0.369
## 881 0.704 0.378
## 882 0.704 0.422
## 883 0.705 0.198
## 884 0.705 0.301
## 885 0.705 0.313
## 886 0.705 0.358
## 887 0.706 0.158
## 888 0.706 0.221
## 889 0.706 0.307
## 890 0.706 0.399
## 891 0.707 0.167
## 892 0.707 0.194
## 893 0.707 0.245
## 894 0.707 0.356
## 895 0.708 0.228
## 896 0.709 0.220
## 897 0.709 0.243
## 898 0.709 0.333
## 899 0.709 0.401
## 900 0.709 0.405
## 901 0.710 0.183
## 902 0.710 0.195
## 903 0.710 0.202
## 904 0.710 0.212
## 905 0.710 0.268
## 906 0.710 0.300
## 907 0.710 0.349
## 908 0.711 0.208
## 909 0.711 0.285
## 910 0.711 0.343
## 911 0.712 0.150
## 912 0.712 0.182
## 913 0.712 0.273
## 914 0.712 0.358
## 915 0.713 0.205
## 916 0.713 0.253
## 917 0.713 0.268
## 918 0.713 0.319
## 919 0.714 0.178
## 920 0.714 0.183
## 921 0.714 0.187
## 922 0.714 0.198
## 923 0.714 0.199
## 924 0.714 0.202
## 925 0.714 0.237
## 926 0.714 0.247
## 927 0.714 0.269
## 928 0.714 0.295
## 929 0.714 0.312
## 930 0.715 0.179
## 931 0.715 0.183
## 932 0.715 0.225
## 933 0.715 0.245
## 934 0.715 0.255
## 935 0.715 0.282
## 936 0.715 0.297
## 937 0.715 0.358
## 938 0.716 0.235
## 939 0.716 0.266
## 940 0.716 0.303
## 941 0.716 0.303
## 942 0.716 0.308
## 943 0.716 0.335
## 944 0.716 0.356
## 945 0.717 0.146
## 946 0.717 0.171
## 947 0.717 0.172
## 948 0.717 0.251
## 949 0.718 0.165
## 950 0.718 0.169
## 951 0.718 0.203
## 952 0.718 0.252
## 953 0.718 0.383
## 954 0.719 0.237
## 955 0.719 0.341
## 956 0.720 0.253
## 957 0.721 0.206
## 958 0.721 0.256
## 959 0.721 0.277
## 960 0.721 0.296
## 961 0.721 0.302
## 962 0.722 0.135
## 963 0.722 0.172
## 964 0.722 0.396
## 965 0.723 0.138
## 966 0.723 0.183
## 967 0.723 0.236
## 968 0.723 0.258
## 969 0.723 0.304
## 970 0.723 0.324
## 971 0.724 0.193
## 972 0.724 0.311
## 973 0.724 0.322
## 974 0.724 0.327
## 975 0.725 0.157
## 976 0.725 0.162
## 977 0.725 0.168
## 978 0.725 0.185
## 979 0.725 0.224
## 980 0.725 0.232
## 981 0.725 0.236
## 982 0.725 0.239
## 983 0.725 0.249
## 984 0.725 0.279
## 985 0.726 0.177
## 986 0.726 0.201
## 987 0.726 0.240
## 988 0.726 0.243
## 989 0.726 0.250
## 990 0.726 0.363
## 991 0.727 0.176
## 992 0.727 0.231
## 993 0.727 0.254
## 994 0.727 0.268
## 995 0.728 0.123
## 996 0.728 0.178
## 997 0.728 0.195
## 998 0.729 0.178
## 999 0.729 0.370
## 1000 0.730 0.115
## 1001 0.730 0.174
## 1002 0.730 0.243
## 1003 0.730 0.267
## 1004 0.731 0.207
## 1005 0.731 0.218
## 1006 0.731 0.241
## 1007 0.731 0.372
## 1008 0.731 0.427
## 1009 0.732 0.176
## 1010 0.732 0.231
## 1011 0.732 0.231
## 1012 0.732 0.238
## 1013 0.732 0.252
## 1014 0.732 0.270
## 1015 0.732 0.285
## 1016 0.732 0.329
## 1017 0.733 0.174
## 1018 0.733 0.244
## 1019 0.733 0.297
## 1020 0.734 0.196
## 1021 0.734 0.231
## 1022 0.734 0.240
## 1023 0.734 0.241
## 1024 0.734 0.245
## 1025 0.734 0.312
## 1026 0.734 0.314
## 1027 0.735 0.152
## 1028 0.735 0.181
## 1029 0.735 0.189
## 1030 0.735 0.210
## 1031 0.735 0.222
## 1032 0.735 0.240
## 1033 0.735 0.250
## 1034 0.735 0.273
## 1035 0.735 0.298
## 1036 0.735 0.308
## 1037 0.735 0.346
## 1038 0.736 0.159
## 1039 0.736 0.187
## 1040 0.736 0.218
## 1041 0.736 0.231
## 1042 0.736 0.277
## 1043 0.736 0.317
## 1044 0.736 0.336
## 1045 0.736 0.340
## 1046 0.736 0.418
## 1047 0.737 0.196
## 1048 0.737 0.234
## 1049 0.737 0.310
## 1050 0.737 0.356
## 1051 0.737 0.397
## 1052 0.738 0.170
## 1053 0.738 0.186
## 1054 0.738 0.187
## 1055 0.738 0.191
## 1056 0.738 0.209
## 1057 0.738 0.222
## 1058 0.738 0.253
## 1059 0.738 0.303
## 1060 0.738 0.384
## 1061 0.739 0.153
## 1062 0.739 0.160
## 1063 0.739 0.227
## 1064 0.739 0.240
## 1065 0.739 0.275
## 1066 0.739 0.335
## 1067 0.739 0.432
## 1068 0.740 0.176
## 1069 0.740 0.184
## 1070 0.740 0.225
## 1071 0.740 0.244
## 1072 0.740 0.277
## 1073 0.741 0.186
## 1074 0.742 0.176
## 1075 0.742 0.186
## 1076 0.742 0.189
## 1077 0.742 0.265
## 1078 0.742 0.319
## 1079 0.742 0.336
## 1080 0.742 0.387
## 1081 0.742 0.393
## 1082 0.743 0.180
## 1083 0.743 0.194
## 1084 0.743 0.205
## 1085 0.743 0.226
## 1086 0.743 0.286
## 1087 0.743 0.306
## 1088 0.743 0.394
## 1089 0.744 0.178
## 1090 0.744 0.193
## 1091 0.744 0.206
## 1092 0.744 0.209
## 1093 0.744 0.276
## 1094 0.744 0.316
## 1095 0.744 0.391
## 1096 0.744 0.440
## 1097 0.745 0.126
## 1098 0.745 0.153
## 1099 0.745 0.225
## 1100 0.745 0.237
## 1101 0.745 0.291
## 1102 0.746 0.255
## 1103 0.746 0.261
## 1104 0.746 0.275
## 1105 0.746 0.281
## 1106 0.746 0.282
## 1107 0.746 0.291
## 1108 0.746 0.329
## 1109 0.747 0.250
## 1110 0.747 0.383
## 1111 0.748 0.122
## 1112 0.748 0.169
## 1113 0.748 0.180
## 1114 0.748 0.192
## 1115 0.748 0.209
## 1116 0.748 0.274
## 1117 0.748 0.337
## 1118 0.748 0.420
## 1119 0.749 0.122
## 1120 0.749 0.130
## 1121 0.749 0.141
## 1122 0.749 0.234
## 1123 0.749 0.239
## 1124 0.749 0.344
## 1125 0.749 0.366
## 1126 0.750 0.202
## 1127 0.750 0.243
## 1128 0.750 0.250
## 1129 0.750 0.252
## 1130 0.750 0.298
## 1131 0.750 0.350
## 1132 0.751 0.186
## 1133 0.751 0.191
## 1134 0.751 0.206
## 1135 0.751 0.226
## 1136 0.751 0.251
## 1137 0.751 0.264
## 1138 0.751 0.267
## 1139 0.751 0.419
## 1140 0.752 0.180
## 1141 0.752 0.195
## 1142 0.752 0.226
## 1143 0.752 0.283
## 1144 0.752 0.285
## 1145 0.752 0.298
## 1146 0.752 0.336
## 1147 0.752 0.362
## 1148 0.752 0.375
## 1149 0.752 0.383
## 1150 0.753 0.180
## 1151 0.754 0.251
## 1152 0.754 0.253
## 1153 0.754 0.253
## 1154 0.754 0.265
## 1155 0.754 0.378
## 1156 0.755 0.120
## 1157 0.755 0.160
## 1158 0.755 0.163
## 1159 0.755 0.179
## 1160 0.755 0.181
## 1161 0.755 0.220
## 1162 0.755 0.282
## 1163 0.755 0.286
## 1164 0.755 0.325
## 1165 0.755 0.350
## 1166 0.755 0.369
## 1167 0.756 0.197
## 1168 0.756 0.201
## 1169 0.757 0.163
## 1170 0.757 0.171
## 1171 0.757 0.193
## 1172 0.757 0.216
## 1173 0.757 0.228
## 1174 0.757 0.330
## 1175 0.757 0.398
## 1176 0.758 0.132
## 1177 0.758 0.192
## 1178 0.758 0.225
## 1179 0.758 0.361
## 1180 0.759 0.187
## 1181 0.759 0.199
## 1182 0.759 0.210
## 1183 0.759 0.237
## 1184 0.759 0.251
## 1185 0.759 0.284
## 1186 0.759 0.319
## 1187 0.759 0.374
## 1188 0.759 0.410
## 1189 0.760 0.150
## 1190 0.760 0.152
## 1191 0.760 0.167
## 1192 0.760 0.192
## 1193 0.760 0.206
## 1194 0.760 0.228
## 1195 0.760 0.238
## 1196 0.760 0.278
## 1197 0.760 0.329
## 1198 0.761 0.178
## 1199 0.761 0.296
## 1200 0.761 0.328
## 1201 0.761 0.337
## 1202 0.761 0.346
## 1203 0.761 0.351
## 1204 0.761 0.361
## 1205 0.762 0.175
## 1206 0.762 0.210
## 1207 0.762 0.221
## 1208 0.762 0.242
## 1209 0.762 0.317
## 1210 0.762 0.358
## 1211 0.763 0.134
## 1212 0.763 0.203
## 1213 0.763 0.216
## 1214 0.763 0.230
## 1215 0.763 0.233
## 1216 0.763 0.264
## 1217 0.763 0.272
## 1218 0.763 0.290
## 1219 0.763 0.302
## 1220 0.763 0.303
## 1221 0.763 0.354
## 1222 0.764 0.205
## 1223 0.764 0.250
## 1224 0.764 0.274
## 1225 0.764 0.288
## 1226 0.764 0.342
## 1227 0.764 0.422
## 1228 0.765 0.130
## 1229 0.765 0.145
## 1230 0.765 0.158
## 1231 0.765 0.161
## 1232 0.765 0.203
## 1233 0.765 0.260
## 1234 0.766 0.184
## 1235 0.766 0.207
## 1236 0.766 0.222
## 1237 0.766 0.322
## 1238 0.766 0.350
## 1239 0.767 0.138
## 1240 0.767 0.173
## 1241 0.767 0.209
## 1242 0.767 0.260
## 1243 0.767 0.282
## 1244 0.767 0.342
## 1245 0.768 0.176
## 1246 0.768 0.224
## 1247 0.768 0.296
## 1248 0.768 0.306
## 1249 0.769 0.083
## 1250 0.769 0.143
## 1251 0.769 0.175
## 1252 0.769 0.193
## 1253 0.769 0.195
## 1254 0.769 0.205
## 1255 0.769 0.206
## 1256 0.769 0.225
## 1257 0.769 0.243
## 1258 0.769 0.341
## 1259 0.770 0.148
## 1260 0.770 0.172
## 1261 0.770 0.202
## 1262 0.770 0.261
## 1263 0.770 0.287
## 1264 0.770 0.370
## 1265 0.771 0.214
## 1266 0.771 0.301
## 1267 0.771 0.388
## 1268 0.771 0.503
## 1269 0.772 0.149
## 1270 0.772 0.183
## 1271 0.772 0.232
## 1272 0.772 0.260
## 1273 0.773 0.144
## 1274 0.773 0.167
## 1275 0.773 0.171
## 1276 0.773 0.205
## 1277 0.773 0.206
## 1278 0.773 0.270
## 1279 0.773 0.393
## 1280 0.773 0.401
## 1281 0.774 0.158
## 1282 0.774 0.196
## 1283 0.774 0.198
## 1284 0.774 0.205
## 1285 0.774 0.209
## 1286 0.774 0.232
## 1287 0.774 0.239
## 1288 0.774 0.422
## 1289 0.775 0.162
## 1290 0.775 0.245
## 1291 0.775 0.245
## 1292 0.775 0.251
## 1293 0.775 0.279
## 1294 0.775 0.306
## 1295 0.775 0.314
## 1296 0.776 0.152
## 1297 0.776 0.181
## 1298 0.776 0.197
## 1299 0.776 0.230
## 1300 0.776 0.241
## 1301 0.776 0.252
## 1302 0.777 0.171
## 1303 0.777 0.223
## 1304 0.777 0.224
## 1305 0.777 0.274
## 1306 0.777 0.289
## 1307 0.777 0.300
## 1308 0.778 0.126
## 1309 0.778 0.129
## 1310 0.778 0.161
## 1311 0.778 0.170
## 1312 0.778 0.280
## 1313 0.778 0.390
## 1314 0.779 0.206
## 1315 0.779 0.217
## 1316 0.779 0.294
## 1317 0.779 0.357
## 1318 0.780 0.170
## 1319 0.780 0.191
## 1320 0.780 0.225
## 1321 0.780 0.243
## 1322 0.780 0.331
## 1323 0.781 0.152
## 1324 0.781 0.161
## 1325 0.781 0.178
## 1326 0.781 0.211
## 1327 0.781 0.281
## 1328 0.781 0.299
## 1329 0.781 0.341
## 1330 0.781 0.392
## 1331 0.782 0.164
## 1332 0.782 0.182
## 1333 0.782 0.190
## 1334 0.782 0.241
## 1335 0.782 0.409
## 1336 0.783 0.184
## 1337 0.783 0.228
## 1338 0.783 0.326
## 1339 0.783 0.376
## 1340 0.783 0.482
## 1341 0.784 0.199
## 1342 0.784 0.229
## 1343 0.784 0.239
## 1344 0.784 0.242
## 1345 0.784 0.245
## 1346 0.784 0.247
## 1347 0.784 0.264
## 1348 0.784 0.278
## 1349 0.784 0.289
## 1350 0.784 0.301
## 1351 0.784 0.306
## 1352 0.784 0.378
## 1353 0.785 0.155
## 1354 0.785 0.169
## 1355 0.785 0.188
## 1356 0.785 0.246
## 1357 0.785 0.268
## 1358 0.785 0.280
## 1359 0.786 0.118
## 1360 0.786 0.162
## 1361 0.786 0.215
## 1362 0.786 0.234
## 1363 0.786 0.296
## 1364 0.786 0.301
## 1365 0.786 0.393
## 1366 0.787 0.107
## 1367 0.787 0.123
## 1368 0.787 0.139
## 1369 0.787 0.163
## 1370 0.787 0.176
## 1371 0.787 0.220
## 1372 0.787 0.267
## 1373 0.787 0.282
## 1374 0.787 0.283
## 1375 0.787 0.295
## 1376 0.787 0.302
## 1377 0.788 0.182
## 1378 0.788 0.201
## 1379 0.788 0.213
## 1380 0.788 0.214
## 1381 0.788 0.230
## 1382 0.788 0.274
## 1383 0.789 0.145
## 1384 0.789 0.206
## 1385 0.789 0.212
## 1386 0.789 0.245
## 1387 0.789 0.332
## 1388 0.789 0.394
## 1389 0.790 0.153
## 1390 0.790 0.210
## 1391 0.790 0.223
## 1392 0.790 0.228
## 1393 0.790 0.261
## 1394 0.790 0.297
## 1395 0.790 0.382
## 1396 0.790 0.416
## 1397 0.791 0.236
## 1398 0.791 0.309
## 1399 0.792 0.155
## 1400 0.792 0.192
## 1401 0.792 0.206
## 1402 0.792 0.440
## 1403 0.793 0.170
## 1404 0.793 0.177
## 1405 0.793 0.196
## 1406 0.793 0.255
## 1407 0.793 0.266
## 1408 0.793 0.284
## 1409 0.793 0.295
## 1410 0.793 0.308
## 1411 0.793 0.408
## 1412 0.794 0.124
## 1413 0.794 0.165
## 1414 0.794 0.169
## 1415 0.794 0.175
## 1416 0.794 0.182
## 1417 0.794 0.251
## 1418 0.794 0.294
## 1419 0.795 0.163
## 1420 0.795 0.208
## 1421 0.795 0.270
## 1422 0.795 0.340
## 1423 0.796 0.177
## 1424 0.796 0.188
## 1425 0.796 0.202
## 1426 0.796 0.260
## 1427 0.796 0.307
## 1428 0.797 0.162
## 1429 0.797 0.182
## 1430 0.797 0.217
## 1431 0.797 0.246
## 1432 0.797 0.260
## 1433 0.797 0.297
## 1434 0.797 0.346
## 1435 0.797 0.372
## 1436 0.798 0.164
## 1437 0.798 0.171
## 1438 0.798 0.219
## 1439 0.798 0.229
## 1440 0.798 0.243
## 1441 0.798 0.252
## 1442 0.798 0.300
## 1443 0.799 0.225
## 1444 0.799 0.238
## 1445 0.799 0.308
## 1446 0.799 0.332
## 1447 0.799 0.408
## 1448 0.800 0.179
## 1449 0.800 0.205
## 1450 0.800 0.289
## 1451 0.800 0.326
## 1452 0.800 0.330
## 1453 0.801 0.264
## 1454 0.801 0.268
## 1455 0.802 0.223
## 1456 0.802 0.224
## 1457 0.802 0.226
## 1458 0.802 0.229
## 1459 0.803 0.142
## 1460 0.803 0.170
## 1461 0.803 0.217
## 1462 0.803 0.255
## 1463 0.803 0.258
## 1464 0.803 0.261
## 1465 0.803 0.307
## 1466 0.803 0.333
## 1467 0.804 0.134
## 1468 0.804 0.156
## 1469 0.804 0.170
## 1470 0.804 0.302
## 1471 0.804 0.317
## 1472 0.804 0.327
## 1473 0.804 0.348
## 1474 0.804 0.379
## 1475 0.805 0.106
## 1476 0.805 0.160
## 1477 0.805 0.240
## 1478 0.805 0.252
## 1479 0.805 0.256
## 1480 0.805 0.268
## 1481 0.805 0.351
## 1482 0.805 0.380
## 1483 0.805 0.384
## 1484 0.806 0.224
## 1485 0.806 0.264
## 1486 0.807 0.188
## 1487 0.807 0.223
## 1488 0.807 0.231
## 1489 0.807 0.265
## 1490 0.807 0.268
## 1491 0.807 0.305
## 1492 0.808 0.149
## 1493 0.808 0.222
## 1494 0.808 0.248
## 1495 0.808 0.254
## 1496 0.808 0.287
## 1497 0.808 0.300
## 1498 0.809 0.166
## 1499 0.809 0.170
## 1500 0.809 0.171
## 1501 0.809 0.211
## 1502 0.809 0.216
## 1503 0.809 0.292
## 1504 0.809 0.300
## 1505 0.809 0.300
## 1506 0.809 0.337
## 1507 0.809 0.380
## 1508 0.809 0.398
## 1509 0.810 0.190
## 1510 0.810 0.287
## 1511 0.810 0.292
## 1512 0.810 0.312
## 1513 0.811 0.160
## 1514 0.811 0.169
## 1515 0.811 0.209
## 1516 0.811 0.213
## 1517 0.811 0.214
## 1518 0.811 0.216
## 1519 0.811 0.244
## 1520 0.811 0.320
## 1521 0.811 0.374
## 1522 0.812 0.242
## 1523 0.812 0.283
## 1524 0.813 0.204
## 1525 0.813 0.218
## 1526 0.813 0.242
## 1527 0.813 0.334
## 1528 0.813 0.334
## 1529 0.813 0.399
## 1530 0.814 0.094
## 1531 0.814 0.164
## 1532 0.814 0.175
## 1533 0.814 0.202
## 1534 0.814 0.221
## 1535 0.814 0.245
## 1536 0.814 0.260
## 1537 0.814 0.275
## 1538 0.814 0.290
## 1539 0.814 0.302
## 1540 0.815 0.156
## 1541 0.815 0.179
## 1542 0.815 0.186
## 1543 0.815 0.227
## 1544 0.815 0.244
## 1545 0.815 0.288
## 1546 0.815 0.292
## 1547 0.815 0.336
## 1548 0.816 0.191
## 1549 0.816 0.195
## 1550 0.816 0.200
## 1551 0.816 0.201
## 1552 0.816 0.232
## 1553 0.816 0.248
## 1554 0.816 0.303
## 1555 0.816 0.304
## 1556 0.816 0.307
## 1557 0.816 0.315
## 1558 0.817 0.147
## 1559 0.817 0.159
## 1560 0.817 0.172
## 1561 0.817 0.184
## 1562 0.817 0.250
## 1563 0.817 0.283
## 1564 0.818 0.191
## 1565 0.818 0.213
## 1566 0.818 0.227
## 1567 0.818 0.276
## 1568 0.818 0.287
## 1569 0.818 0.302
## 1570 0.819 0.112
## 1571 0.819 0.123
## 1572 0.819 0.145
## 1573 0.819 0.150
## 1574 0.819 0.177
## 1575 0.819 0.218
## 1576 0.819 0.224
## 1577 0.819 0.233
## 1578 0.820 0.134
## 1579 0.820 0.149
## 1580 0.820 0.151
## 1581 0.820 0.194
## 1582 0.820 0.219
## 1583 0.820 0.238
## 1584 0.820 0.265
## 1585 0.820 0.294
## 1586 0.820 0.299
## 1587 0.820 0.321
## 1588 0.820 0.352
## 1589 0.820 0.375
## 1590 0.821 0.095
## 1591 0.821 0.140
## 1592 0.821 0.159
## 1593 0.821 0.206
## 1594 0.821 0.212
## 1595 0.821 0.214
## 1596 0.821 0.251
## 1597 0.821 0.290
## 1598 0.822 0.157
## 1599 0.822 0.164
## 1600 0.822 0.285
## 1601 0.822 0.322
## 1602 0.822 0.338
## 1603 0.822 0.358
## 1604 0.823 0.161
## 1605 0.823 0.163
## 1606 0.823 0.174
## 1607 0.823 0.189
## 1608 0.823 0.195
## 1609 0.823 0.213
## 1610 0.823 0.216
## 1611 0.823 0.318
## 1612 0.824 0.111
## 1613 0.824 0.200
## 1614 0.824 0.206
## 1615 0.824 0.252
## 1616 0.824 0.259
## 1617 0.825 0.175
## 1618 0.825 0.180
## 1619 0.825 0.201
## 1620 0.825 0.209
## 1621 0.825 0.237
## 1622 0.825 0.266
## 1623 0.825 0.301
## 1624 0.825 0.328
## 1625 0.825 0.357
## 1626 0.826 0.141
## 1627 0.826 0.146
## 1628 0.826 0.202
## 1629 0.826 0.215
## 1630 0.826 0.218
## 1631 0.826 0.220
## 1632 0.826 0.253
## 1633 0.826 0.319
## 1634 0.826 0.333
## 1635 0.827 0.112
## 1636 0.827 0.188
## 1637 0.827 0.212
## 1638 0.827 0.261
## 1639 0.827 0.268
## 1640 0.828 0.194
## 1641 0.828 0.199
## 1642 0.828 0.240
## 1643 0.828 0.279
## 1644 0.828 0.317
## 1645 0.829 0.184
## 1646 0.829 0.202
## 1647 0.829 0.218
## 1648 0.829 0.232
## 1649 0.829 0.240
## 1650 0.829 0.253
## 1651 0.829 0.314
## 1652 0.831 0.265
## 1653 0.831 0.302
## 1654 0.831 0.365
## 1655 0.832 0.129
## 1656 0.832 0.173
## 1657 0.832 0.180
## 1658 0.832 0.186
## 1659 0.832 0.192
## 1660 0.832 0.197
## 1661 0.832 0.202
## 1662 0.832 0.233
## 1663 0.832 0.286
## 1664 0.832 0.290
## 1665 0.832 0.297
## 1666 0.832 NA
## 1667 0.833 0.108
## 1668 0.833 0.200
## 1669 0.833 0.204
## 1670 0.833 0.207
## 1671 0.833 0.213
## 1672 0.833 0.242
## 1673 0.833 0.259
## 1674 0.833 0.274
## 1675 0.833 0.276
## 1676 0.833 0.286
## 1677 0.833 0.286
## 1678 0.833 0.342
## 1679 0.834 0.160
## 1680 0.834 0.176
## 1681 0.834 0.194
## 1682 0.834 0.202
## 1683 0.834 0.207
## 1684 0.834 0.220
## 1685 0.834 0.234
## 1686 0.834 0.260
## 1687 0.834 0.281
## 1688 0.835 0.151
## 1689 0.835 0.218
## 1690 0.835 0.225
## 1691 0.835 0.237
## 1692 0.835 0.305
## 1693 0.835 0.337
## 1694 0.836 0.142
## 1695 0.836 0.178
## 1696 0.836 0.200
## 1697 0.836 0.208
## 1698 0.836 0.208
## 1699 0.836 0.237
## 1700 0.836 0.273
## 1701 0.836 0.280
## 1702 0.837 0.114
## 1703 0.837 0.213
## 1704 0.837 0.218
## 1705 0.837 0.290
## 1706 0.837 0.299
## 1707 0.837 0.330
## 1708 0.838 0.215
## 1709 0.838 0.231
## 1710 0.838 0.277
## 1711 0.838 0.291
## 1712 0.839 0.203
## 1713 0.839 0.233
## 1714 0.839 0.271
## 1715 0.839 0.292
## 1716 0.839 0.329
## 1717 0.839 0.398
## 1718 0.840 0.103
## 1719 0.840 0.151
## 1720 0.840 0.215
## 1721 0.840 0.232
## 1722 0.840 0.238
## 1723 0.840 0.256
## 1724 0.841 0.180
## 1725 0.842 0.147
## 1726 0.842 0.232
## 1727 0.842 0.248
## 1728 0.842 0.254
## 1729 0.842 0.283
## 1730 0.842 0.312
## 1731 0.843 0.187
## 1732 0.843 0.198
## 1733 0.843 0.208
## 1734 0.843 0.209
## 1735 0.843 0.231
## 1736 0.843 0.238
## 1737 0.843 0.262
## 1738 0.843 0.273
## 1739 0.843 0.283
## 1740 0.844 0.174
## 1741 0.844 0.184
## 1742 0.844 0.233
## 1743 0.844 0.289
## 1744 0.844 0.390
## 1745 0.845 0.083
## 1746 0.845 0.136
## 1747 0.845 0.168
## 1748 0.845 0.220
## 1749 0.845 0.232
## 1750 0.845 0.286
## 1751 0.845 0.414
## 1752 0.846 0.124
## 1753 0.846 0.141
## 1754 0.846 0.182
## 1755 0.846 0.211
## 1756 0.846 0.231
## 1757 0.846 0.248
## 1758 0.846 0.294
## 1759 0.846 0.308
## 1760 0.846 0.311
## 1761 0.846 0.321
## 1762 0.846 0.365
## 1763 0.847 0.235
## 1764 0.847 0.278
## 1765 0.847 0.294
## 1766 0.847 0.333
## 1767 0.848 0.093
## 1768 0.848 0.199
## 1769 0.848 0.235
## 1770 0.848 0.303
## 1771 0.849 0.108
## 1772 0.849 0.180
## 1773 0.849 0.196
## 1774 0.849 0.203
## 1775 0.849 0.209
## 1776 0.849 0.259
## 1777 0.849 0.268
## 1778 0.850 0.209
## 1779 0.850 0.236
## 1780 0.850 0.243
## 1781 0.850 0.278
## 1782 0.850 0.279
## 1783 0.850 0.286
## 1784 0.850 0.308
## 1785 0.851 0.263
## 1786 0.851 0.267
## 1787 0.851 0.278
## 1788 0.851 0.311
## 1789 0.851 0.323
## 1790 0.851 0.358
## 1791 0.852 0.185
## 1792 0.852 0.242
## 1793 0.852 0.332
## 1794 0.853 0.206
## 1795 0.854 0.112
## 1796 0.854 0.232
## 1797 0.854 0.238
## 1798 0.855 0.138
## 1799 0.855 0.170
## 1800 0.855 0.176
## 1801 0.855 0.285
## 1802 0.856 0.190
## 1803 0.857 0.229
## 1804 0.857 0.238
## 1805 0.857 0.272
## 1806 0.858 0.112
## 1807 0.858 0.155
## 1808 0.858 0.176
## 1809 0.858 0.244
## 1810 0.858 0.275
## 1811 0.859 0.176
## 1812 0.859 0.178
## 1813 0.859 0.220
## 1814 0.859 0.299
## 1815 0.859 0.305
## 1816 0.859 0.306
## 1817 0.859 0.311
## 1818 0.859 0.324
## 1819 0.860 0.093
## 1820 0.860 0.154
## 1821 0.860 0.208
## 1822 0.860 0.270
## 1823 0.861 0.136
## 1824 0.861 0.226
## 1825 0.861 0.231
## 1826 0.862 0.130
## 1827 0.862 0.181
## 1828 0.862 0.195
## 1829 0.862 0.205
## 1830 0.862 0.233
## 1831 0.862 0.271
## 1832 0.863 0.172
## 1833 0.863 0.176
## 1834 0.863 0.181
## 1835 0.863 0.218
## 1836 0.863 0.311
## 1837 0.863 0.319
## 1838 0.863 0.349
## 1839 0.864 0.197
## 1840 0.864 0.210
## 1841 0.864 0.233
## 1842 0.864 0.237
## 1843 0.864 0.252
## 1844 0.864 0.262
## 1845 0.864 0.273
## 1846 0.864 0.296
## 1847 0.865 0.190
## 1848 0.865 0.193
## 1849 0.865 0.351
## 1850 0.866 0.207
## 1851 0.866 0.219
## 1852 0.866 0.272
## 1853 0.867 0.177
## 1854 0.867 0.219
## 1855 0.867 0.223
## 1856 0.867 0.235
## 1857 0.867 0.248
## 1858 0.867 0.333
## 1859 0.868 0.221
## 1860 0.868 0.236
## 1861 0.869 0.207
## 1862 0.869 0.220
## 1863 0.869 0.226
## 1864 0.869 0.233
## 1865 0.869 0.251
## 1866 0.869 0.283
## 1867 0.870 0.156
## 1868 0.870 0.276
## 1869 0.870 0.326
## 1870 0.871 0.262
## 1871 0.871 0.271
## 1872 0.872 0.227
## 1873 0.872 0.257
## 1874 0.872 0.287
## 1875 0.873 0.344
## 1876 0.874 0.158
## 1877 0.874 0.275
## 1878 0.874 0.281
## 1879 0.875 0.148
## 1880 0.875 0.240
## 1881 0.875 0.336
## 1882 0.876 0.201
## 1883 0.876 0.217
## 1884 0.876 0.269
## 1885 0.876 0.274
## 1886 0.876 0.294
## 1887 0.876 0.328
## 1888 0.877 0.275
## 1889 0.877 0.302
## 1890 0.878 0.209
## 1891 0.878 0.244
## 1892 0.878 0.306
## 1893 0.878 0.390
## 1894 0.879 0.233
## 1895 0.880 0.153
## 1896 0.880 0.219
## 1897 0.881 0.248
## 1898 0.882 0.213
## 1899 0.883 0.144
## 1900 0.884 0.223
## 1901 0.885 0.180
## 1902 0.886 0.163
## 1903 0.886 0.221
## 1904 0.887 0.155
## 1905 0.888 0.146
## 1906 0.889 0.222
## 1907 0.890 0.202
## 1908 0.891 0.147
## 1909 0.891 0.193
## 1910 0.893 0.249
## 1911 0.893 0.300
## 1912 0.895 0.148
## 1913 0.897 0.229
## 1914 0.897 0.263
## 1915 0.898 0.166
## 1916 0.900 0.157
## 1917 0.900 0.225
## 1918 0.901 0.182
## 1919 0.901 0.187
## 1920 0.903 0.232
## 1921 0.906 0.134
## 1922 0.910 0.174
## 1923 0.917 0.387
## 1924 0.919 0.224
## 1925 0.925 0.197
## 1926 0.934 0.117
## 1927 0.944 0.216
## 1928 NA 0.231
## 1929 NA 0.237
## 1930 NA 0.246
## 1931 NA 0.291
## 1932 NA 0.295
## 1933 NA 0.318
## 1934 NA 0.320
## 1935 NA 0.554
## 1936 NA NA
## 1937 NA NA
## 1938 NA NA
## 1939 NA NA
## 1940 NA NA
## 1941 NA NA
## 1942 NA NA
## 1943 NA NA
## 1944 NA NA
## 1945 NA NA
## 1946 NA NA
## 1947 NA NA
## 1948 NA NA
## 1949 NA NAdf %>% arrange(desc(Positive.affect))## ï..Country.name year Life.Ladder Log.GDP.per.capita
## 1 Paraguay 2014 5.119 9.360
## 2 Thailand 2011 6.664 9.579
## 3 Paraguay 2016 5.801 9.406
## 4 Paraguay 2013 5.936 9.326
## 5 Laos 2012 4.876 8.611
## 6 Thailand 2015 6.202 9.699
## 7 Trinidad and Tobago 2011 6.519 10.263
## 8 Paraguay 2017 5.713 9.441
## 9 Somalia 2015 5.354 NA
## 10 Thailand 2010 6.217 9.576
## 11 Iceland 2012 7.591 10.777
## 12 Laos 2011 4.704 8.548
## 13 Thailand 2009 5.476 9.508
## 14 Costa Rica 2012 7.272 9.740
## 15 Indonesia 2012 5.368 9.114
## 16 Iceland 2017 7.476 10.925
## 17 Indonesia 2013 5.292 9.155
## 18 Uruguay 2015 6.628 9.932
## 19 China 2019 5.144 9.688
## 20 Somalia 2016 4.668 NA
## 21 Canada 2008 7.486 10.738
## 22 Uruguay 2019 6.600 9.979
## 23 Panama 2010 7.321 9.969
## 24 Malaysia 2011 5.786 9.966
## 25 Costa Rica 2010 7.271 9.675
## 26 Laos 2006 5.076 8.251
## 27 Panama 2011 7.248 10.059
## 28 Panama 2018 6.281 10.343
## 29 Panama 2009 7.034 9.930
## 30 Mexico 2018 6.550 9.903
## 31 Canada 2011 7.426 10.738
## 32 Iceland 2008 6.888 10.861
## 33 New Zealand 2006 7.305 10.526
## 34 Canada 2010 7.650 10.717
## 35 Cambodia 2020 4.377 8.362
## 36 Ireland 2006 7.144 10.972
## 37 Laos 2019 5.197 8.965
## 38 Panama 2019 6.086 10.356
## 39 Indonesia 2019 5.347 9.377
## 40 Uruguay 2018 6.372 9.980
## 41 Costa Rica 2009 7.615 9.639
## 42 Costa Rica 2011 7.229 9.705
## 43 Ecuador 2018 6.128 9.355
## 44 Indonesia 2015 5.043 9.225
## 45 Ireland 2010 7.257 10.879
## 46 Philippines 2010 4.942 8.686
## 47 Costa Rica 2007 7.432 9.630
## 48 El Salvador 2011 4.741 8.933
## 49 Ireland 2008 7.568 10.929
## 50 Costa Rica 2016 7.136 9.830
## 51 Costa Rica 2017 7.225 9.858
## 52 Iceland 2016 7.510 10.904
## 53 Laos 2017 4.623 8.890
## 54 Canada 2007 7.482 10.739
## 55 Honduras 2018 5.908 8.643
## 56 United States 2008 7.280 10.922
## 57 El Salvador 2019 6.455 9.080
## 58 Guatemala 2018 6.627 9.042
## 59 Chile 2014 6.844 10.059
## 60 Costa Rica 2018 7.141 9.874
## 61 Iceland 2013 7.501 10.809
## 62 Chile 2016 6.579 10.074
## 63 El Salvador 2007 5.296 8.887
## 64 Netherlands 2005 7.464 10.814
## 65 Panama 2012 6.860 10.135
## 66 Panama 2013 6.866 10.184
## 67 Uruguay 2014 6.561 9.932
## 68 Costa Rica 2006 7.082 9.565
## 69 Netherlands 2014 7.321 10.867
## 70 Canada 2009 7.488 10.697
## 71 Guatemala 2013 5.985 8.953
## 72 Malaysia 2012 5.914 10.005
## 73 Netherlands 2013 7.407 10.857
## 74 Paraguay 2007 5.272 9.126
## 75 Venezuela 2015 5.569 9.001
## 76 Myanmar 2015 4.224 8.359
## 77 New Zealand 2012 7.250 10.553
## 78 Paraguay 2015 5.560 9.377
## 79 Indonesia 2009 5.472 8.975
## 80 Ireland 2011 7.007 10.878
## 81 Philippines 2012 5.002 8.756
## 82 Argentina 2009 6.424 9.977
## 83 El Salvador 2006 5.701 8.873
## 84 Indonesia 2011 5.173 9.069
## 85 Indonesia 2018 5.340 9.339
## 86 Mexico 2019 6.432 9.891
## 87 New Zealand 2011 7.191 10.536
## 88 Sri Lanka 2012 4.225 9.279
## 89 United Kingdom 2005 6.984 10.663
## 90 Canada 2017 7.415 10.792
## 91 Guatemala 2012 5.856 8.935
## 92 Honduras 2015 4.845 8.572
## 93 Iceland 2020 7.575 10.824
## 94 Indonesia 2017 5.098 9.300
## 95 Netherlands 2011 7.564 10.875
## 96 United Kingdom 2010 7.029 10.649
## 97 Denmark 2013 7.589 10.851
## 98 Denmark 2019 7.693 10.954
## 99 Ecuador 2011 5.795 9.304
## 100 Ireland 2009 7.046 10.866
## 101 Netherlands 2018 7.463 10.941
## 102 Venezuela 2010 7.478 9.717
## 103 Laos 2007 5.364 8.307
## 104 Netherlands 2012 7.471 10.861
## 105 United States 2010 7.164 10.905
## 106 Denmark 2005 8.019 10.851
## 107 El Salvador 2018 6.241 9.061
## 108 Sri Lanka 2013 4.365 9.305
## 109 Taiwan Province of China 2019 6.537 NA
## 110 Argentina 2015 6.697 10.083
## 111 Bhutan 2014 4.939 9.167
## 112 Brazil 2007 6.321 9.515
## 113 Ecuador 2014 5.946 9.399
## 114 Guatemala 2019 6.262 9.064
## 115 Mexico 2016 6.824 9.884
## 116 Switzerland 2012 7.776 11.079
## 117 Venezuela 2006 6.525 9.460
## 118 Honduras 2006 5.397 8.462
## 119 Myanmar 2014 4.786 8.299
## 120 Panama 2016 6.118 10.287
## 121 Paraguay 2019 5.653 9.448
## 122 Venezuela 2012 7.067 9.826
## 123 Argentina 2012 6.468 10.091
## 124 Argentina 2014 6.671 10.067
## 125 Canada 2012 7.415 10.744
## 126 China 2018 5.131 9.632
## 127 Chile 2013 6.740 10.053
## 128 Paraguay 2010 5.841 9.250
## 129 Sweden 2012 7.560 10.800
## 130 Thailand 2012 6.300 9.645
## 131 China 2014 5.196 9.386
## 132 New Zealand 2007 7.604 10.546
## 133 New Zealand 2008 7.381 10.528
## 134 Netherlands 2010 7.502 10.864
## 135 Indonesia 2014 5.597 9.190
## 136 Laos 2018 4.859 8.935
## 137 Netherlands 2017 7.459 10.921
## 138 Canada 2013 7.594 10.757
## 139 Colombia 2013 6.607 9.512
## 140 Ecuador 2013 6.019 9.377
## 141 Ecuador 2015 5.964 9.384
## 142 Guatemala 2015 6.465 9.003
## 143 Philippines 2011 4.994 8.707
## 144 Costa Rica 2013 7.158 9.751
## 145 Costa Rica 2015 6.854 9.799
## 146 El Salvador 2009 6.839 8.883
## 147 Guatemala 2010 6.290 8.901
## 148 Honduras 2019 5.930 8.653
## 149 Nicaragua 2017 6.476 8.700
## 150 Norway 2016 7.596 11.035
## 151 El Salvador 2017 6.339 9.042
## 152 Iceland 2015 7.498 10.854
## 153 Mexico 2009 6.963 9.752
## 154 New Zealand 2020 7.257 10.600
## 155 Norway 2017 7.579 11.050
## 156 Paraguay 2008 5.570 9.174
## 157 Taiwan Province of China 2014 6.363 10.798
## 158 Costa Rica 2019 6.998 9.885
## 159 New Zealand 2014 7.306 10.592
## 160 Sri Lanka 2015 4.612 9.383
## 161 Taiwan Province of China 2018 6.467 NA
## 162 Colombia 2014 6.449 9.546
## 163 Ecuador 2012 5.961 9.344
## 164 Honduras 2012 4.602 8.530
## 165 New Zealand 2010 7.224 10.520
## 166 Argentina 2010 6.441 10.066
## 167 Colombia 2012 6.375 9.471
## 168 Ecuador 2016 6.115 9.355
## 169 Guatemala 2016 6.359 9.013
## 170 Guatemala 2017 6.325 9.026
## 171 Kuwait 2006 6.076 11.228
## 172 Philippines 2009 4.880 8.632
## 173 Taiwan Province of China 2013 6.340 10.750
## 174 Thailand 2013 6.231 9.667
## 175 Trinidad and Tobago 2017 6.192 10.183
## 176 United Kingdom 2009 6.907 10.638
## 177 Cambodia 2018 5.122 8.333
## 178 Canada 2015 7.413 10.774
## 179 New Zealand 2018 7.370 10.660
## 180 Panama 2006 6.128 9.764
## 181 Taiwan Province of China 2010 6.229 10.691
## 182 Taiwan Province of China 2020 6.751 NA
## 183 Uzbekistan 2019 6.154 8.853
## 184 Cambodia 2019 4.998 8.387
## 185 Costa Rica 2008 6.851 9.662
## 186 Guatemala 2011 5.743 8.923
## 187 United Kingdom 2011 6.869 10.657
## 188 United Kingdom 2012 6.881 10.664
## 189 Australia 2005 7.341 10.659
## 190 Colombia 2009 6.272 9.351
## 191 Ecuador 2008 5.297 9.236
## 192 Mexico 2017 6.410 9.893
## 193 Norway 2015 7.603 11.033
## 194 Sri Lanka 2014 4.268 9.344
## 195 Thailand 2018 6.012 9.803
## 196 Thailand 2019 6.022 9.824
## 197 United States 2009 7.158 10.888
## 198 Argentina 2013 6.582 10.103
## 199 Argentina 2016 6.427 10.051
## 200 El Salvador 2008 5.191 8.908
## 201 Honduras 2017 6.020 8.624
## 202 Uruguay 2016 6.171 9.946
## 203 Uzbekistan 2016 5.893 8.756
## 204 Singapore 2014 7.062 11.383
## 205 Argentina 2011 6.776 10.112
## 206 Ecuador 2009 6.022 9.225
## 207 Mexico 2010 6.802 9.788
## 208 Sweden 2005 7.376 10.739
## 209 Uzbekistan 2015 5.972 8.714
## 210 Venezuela 2013 6.553 9.739
## 211 Cambodia 2016 4.461 8.225
## 212 Canada 2005 7.418 10.652
## 213 Colombia 2015 6.388 9.564
## 214 El Salvador 2020 5.462 9.019
## 215 Nicaragua 2013 5.772 8.569
## 216 Uzbekistan 2017 6.421 8.782
## 217 Chile 2017 6.320 10.072
## 218 Gambia 2017 4.118 7.637
## 219 Netherlands 2016 7.541 10.899
## 220 Netherlands 2019 7.425 10.953
## 221 Colombia 2017 6.157 9.569
## 222 Costa Rica 2014 7.247 9.775
## 223 El Salvador 2014 5.857 8.986
## 224 Indonesia 2010 5.457 9.022
## 225 Paraguay 2012 5.820 9.259
## 226 Taiwan Province of China 2017 6.359 10.871
## 227 China 2013 5.241 9.319
## 228 Denmark 2016 7.558 10.903
## 229 Iceland 2019 7.533 10.931
## 230 Jamaica 2011 5.374 9.164
## 231 Luxembourg 2011 7.101 11.595
## 232 Sweden 2014 7.239 10.820
## 233 United States 2011 7.115 10.913
## 234 Uruguay 2017 6.336 9.968
## 235 Belgium 2011 7.111 10.783
## 236 Guatemala 2014 6.536 8.980
## 237 Ireland 2012 6.965 10.876
## 238 New Zealand 2013 7.280 10.571
## 239 Nicaragua 2019 6.113 8.595
## 240 Thailand 2016 6.074 9.729
## 241 Australia 2010 7.450 10.722
## 242 Guatemala 2008 6.414 8.904
## 243 Malaysia 2019 5.428 10.252
## 244 Netherlands 2015 7.324 10.882
## 245 New Zealand 2015 7.418 10.608
## 246 Norway 2014 7.444 11.024
## 247 Somalia 2014 5.528 NA
## 248 United States 2012 7.026 10.928
## 249 United States 2014 7.151 10.956
## 250 Brazil 2009 7.001 9.544
## 251 Canada 2014 7.304 10.775
## 252 Chile 2018 6.436 10.097
## 253 Ecuador 2007 4.996 9.191
## 254 Indonesia 2016 5.136 9.262
## 255 Ireland 2017 7.060 11.266
## 256 New Zealand 2016 7.226 10.623
## 257 Panama 2017 6.568 10.324
## 258 Sweden 2010 7.496 10.790
## 259 Taiwan Province of China 2016 6.513 10.855
## 260 Trinidad and Tobago 2013 6.168 10.285
## 261 Zambia 2011 4.999 8.071
## 262 Austria 2008 7.181 10.887
## 263 Colombia 2011 6.464 9.442
## 264 Czech Republic 2020 6.897 10.530
## 265 Denmark 2014 7.508 10.862
## 266 Finland 2010 7.393 10.734
## 267 Honduras 2016 5.648 8.593
## 268 Malaysia 2010 5.580 9.930
## 269 Norway 2006 7.416 11.031
## 270 Paraguay 2009 5.576 9.158
## 271 Philippines 2006 4.670 8.562
## 272 Taiwan Province of China 2015 6.450 10.842
## 273 Thailand 2007 5.784 9.508
## 274 Colombia 2010 6.408 9.384
## 275 El Salvador 2012 5.934 8.956
## 276 Sri Lanka 2018 4.435 9.462
## 277 Cyprus 2006 6.238 10.566
## 278 Denmark 2015 7.514 10.878
## 279 Ecuador 2017 5.840 9.360
## 280 Guatemala 2009 6.452 8.891
## 281 Laos 2008 5.044 8.366
## 282 Sweden 2013 7.434 10.804
## 283 United States 2007 7.513 10.933
## 284 Argentina 2007 6.073 10.018
## 285 Belgium 2010 6.854 10.779
## 286 Denmark 2007 7.834 10.891
## 287 El Salvador 2013 6.325 8.974
## 288 Venezuela 2011 6.580 9.822
## 289 Japan 2010 6.057 10.532
## 290 Norway 2018 7.444 11.056
## 291 Taiwan Province of China 2011 6.309 10.705
## 292 United States 2006 7.182 10.924
## 293 United States 2017 6.992 11.001
## 294 Argentina 2019 6.086 10.000
## 295 Australia 2007 7.285 10.703
## 296 Australia 2008 7.254 10.719
## 297 China 2016 5.325 9.510
## 298 Ecuador 2010 5.838 9.244
## 299 El Salvador 2015 6.018 9.005
## 300 Nigeria 2007 4.890 8.364
## 301 Sweden 2019 7.398 10.882
## 302 Uruguay 2013 6.444 9.904
## 303 Argentina 2006 6.313 9.942
## 304 Canada 2016 7.245 10.773
## 305 Colombia 2018 5.984 9.579
## 306 Ecuador 2006 5.024 9.186
## 307 Indonesia 2006 4.947 8.850
## 308 Mexico 2008 6.829 9.821
## 309 Sri Lanka 2011 4.181 9.193
## 310 Uzbekistan 2018 6.205 8.818
## 311 Venezuela 2009 7.189 9.542
## 312 Canada 2018 7.175 10.798
## 313 Denmark 2017 7.594 10.916
## 314 Malaysia 2018 5.339 10.223
## 315 Singapore 2016 6.033 11.419
## 316 Swaziland 2018 4.212 9.060
## 317 Argentina 2008 5.961 10.048
## 318 Austria 2006 7.122 10.842
## 319 Norway 2012 7.678 11.017
## 320 Norway 2019 7.442 11.061
## 321 Norway 2020 7.290 11.042
## 322 Sri Lanka 2010 3.977 9.119
## 323 Sweden 2018 7.375 10.881
## 324 Switzerland 2014 7.493 11.098
## 325 Austria 2012 7.401 10.889
## 326 Canada 2019 7.109 10.800
## 327 Colombia 2019 6.350 9.598
## 328 Laos 2020 5.284 8.960
## 329 Malaysia 2009 5.385 9.875
## 330 Peru 2016 5.701 9.426
## 331 China 2012 5.095 9.249
## 332 China 2017 5.099 9.571
## 333 Denmark 2018 7.649 10.935
## 334 Kuwait 2012 6.221 11.025
## 335 Philippines 2016 5.431 8.950
## 336 Swaziland 2011 4.867 8.940
## 337 Switzerland 2006 7.473 11.050
## 338 Taiwan Province of China 2012 6.126 10.716
## 339 Argentina 2018 5.793 10.032
## 340 Belgium 2012 6.935 10.784
## 341 Brazil 2008 6.691 9.555
## 342 Cambodia 2012 3.899 8.014
## 343 China 2011 5.037 9.179
## 344 Honduras 2014 5.056 8.552
## 345 Mauritania 2015 3.923 8.542
## 346 Mexico 2005 6.581 9.788
## 347 Panama 2007 6.894 9.859
## 348 Peru 2019 5.999 9.461
## 349 South Africa 2020 4.947 9.332
## 350 Sweden 2009 7.266 10.740
## 351 Australia 2013 7.364 10.762
## 352 Guatemala 2007 6.330 8.891
## 353 Kenya 2010 4.256 8.111
## 354 Panama 2008 6.931 9.935
## 355 Somaliland region 2009 4.991 NA
## 356 Thailand 2008 5.636 9.520
## 357 United Kingdom 2008 6.986 10.689
## 358 Venezuela 2005 7.170 9.313
## 359 Brazil 2005 6.637 9.438
## 360 Brazil 2013 7.140 9.668
## 361 Denmark 2020 7.515 10.910
## 362 Guatemala 2006 5.901 8.850
## 363 Netherlands 2007 7.452 10.881
## 364 Sweden 2015 7.289 10.853
## 365 Brazil 2010 6.837 9.607
## 366 China 2007 4.863 8.824
## 367 China 2008 4.846 8.911
## 368 Honduras 2013 4.713 8.540
## 369 New Zealand 2017 7.327 10.633
## 370 Trinidad and Tobago 2008 6.696 10.295
## 371 Australia 2011 7.406 10.733
## 372 Honduras 2011 4.961 8.508
## 373 Malawi 2012 4.279 6.885
## 374 Mexico 2007 6.525 9.825
## 375 New Zealand 2019 7.205 10.666
## 376 Niger 2019 5.004 7.106
## 377 Paraguay 2006 4.730 9.088
## 378 Sri Lanka 2019 4.213 9.479
## 379 Sweden 2016 7.369 10.861
## 380 Thailand 2017 5.939 9.765
## 381 Austria 2010 7.303 10.861
## 382 Chile 2012 6.599 10.023
## 383 Chile 2020 6.151 10.020
## 384 Luxembourg 2012 6.964 11.567
## 385 Malaysia 2008 5.807 9.909
## 386 Sweden 2011 7.382 10.814
## 387 United States 2018 6.883 11.025
## 388 United States 2019 6.944 11.043
## 389 Bahrain 2017 6.227 10.771
## 390 El Salvador 2010 6.740 8.900
## 391 Ireland 2013 6.760 10.884
## 392 Kenya 2014 4.905 8.219
## 393 Sweden 2017 7.287 10.873
## 394 Switzerland 2009 7.525 11.055
## 395 Taiwan Province of China 2006 6.189 10.613
## 396 Thailand 2006 5.885 9.461
## 397 United States 2013 7.249 10.939
## 398 United States 2015 6.864 10.977
## 399 Belgium 2007 7.219 10.792
## 400 Belgium 2008 7.117 10.789
## 401 Cambodia 2015 4.162 8.173
## 402 Madagascar 2016 3.663 7.356
## 403 Nicaragua 2014 6.275 8.602
## 404 Philippines 2014 5.313 8.850
## 405 Indonesia 2007 5.101 8.898
## 406 South Africa 2018 4.884 9.444
## 407 Australia 2012 7.196 10.754
## 408 Ecuador 2019 5.809 9.339
## 409 France 2014 6.467 10.674
## 410 Ireland 2018 6.962 11.332
## 411 Namibia 2007 4.886 9.059
## 412 Nigeria 2012 5.493 8.543
## 413 Peru 2009 5.519 9.145
## 414 Thailand 2014 6.985 9.672
## 415 Venezuela 2014 6.136 9.557
## 416 Bhutan 2015 5.082 9.219
## 417 Mexico 2020 5.964 9.782
## 418 Nicaragua 2007 4.944 8.434
## 419 Paraguay 2011 5.677 9.278
## 420 Argentina 2017 6.039 10.067
## 421 Bolivia 2014 5.865 8.953
## 422 Chile 2010 6.636 9.931
## 423 Chile 2019 5.942 10.095
## 424 China 2006 4.560 8.696
## 425 China 2015 5.304 9.449
## 426 Dominican Republic 2011 5.397 9.475
## 427 Ireland 2016 7.041 11.199
## 428 Luxembourg 2010 7.097 11.592
## 429 Peru 2018 5.680 9.456
## 430 Switzerland 2015 7.572 11.100
## 431 Chile 2009 6.494 9.885
## 432 Colombia 2007 6.138 9.330
## 433 Malawi 2013 4.035 6.907
## 434 Mauritius 2014 5.648 9.865
## 435 Mauritius 2019 6.241 10.043
## 436 Panama 2014 6.631 10.217
## 437 Brazil 2011 7.038 9.637
## 438 Estonia 2020 6.453 10.459
## 439 Ireland 2019 7.255 11.371
## 440 Mali 2016 4.016 7.695
## 441 Uruguay 2010 6.062 9.782
## 442 Uruguay 2020 6.310 9.937
## 443 United States 2016 6.804 10.986
## 444 Zimbabwe 2017 3.638 8.016
## 445 Belgium 2015 6.904 10.810
## 446 Estonia 2017 5.938 10.429
## 447 Nicaragua 2010 5.687 8.436
## 448 Nicaragua 2016 6.013 8.668
## 449 Nigeria 2018 5.252 8.548
## 450 Philippines 2008 4.589 8.634
## 451 Philippines 2015 5.547 8.896
## 452 Uruguay 2011 6.554 9.830
## 453 Uzbekistan 2014 6.049 8.659
## 454 Chile 2006 6.063 9.850
## 455 Chile 2011 6.526 9.980
## 456 Estonia 2019 6.035 10.511
## 457 Gambia 2018 4.922 7.671
## 458 Germany 2012 6.702 10.816
## 459 Myanmar 2016 4.623 8.408
## 460 Philippines 2020 5.080 9.061
## 461 Sweden 2008 7.516 10.793
## 462 Chile 2015 6.533 10.070
## 463 Colombia 2008 6.168 9.351
## 464 Honduras 2009 6.033 8.474
## 465 Kyrgyzstan 2020 6.250 8.503
## 466 Luxembourg 2014 6.891 11.598
## 467 Myanmar 2013 4.176 8.230
## 468 Nicaragua 2012 5.448 8.534
## 469 Singapore 2015 6.620 11.400
## 470 Madagascar 2015 3.593 7.344
## 471 Mexico 2014 6.680 9.847
## 472 South Africa 2006 5.084 9.386
## 473 Venezuela 2008 6.258 9.701
## 474 Panama 2015 6.606 10.255
## 475 South Africa 2019 5.035 9.432
## 476 Colombia 2006 6.025 9.277
## 477 France 2013 6.667 10.669
## 478 Myanmar 2020 4.431 8.554
## 479 Peru 2010 5.613 9.217
## 480 Singapore 2017 6.378 11.461
## 481 Cambodia 2011 4.161 7.960
## 482 Cambodia 2017 4.586 8.276
## 483 Ireland 2015 6.830 11.174
## 484 Luxembourg 2009 6.958 11.562
## 485 Philippines 2013 4.977 8.805
## 486 Austria 2015 7.076 10.881
## 487 Belgium 2014 6.855 10.795
## 488 Dominican Republic 2014 5.387 9.582
## 489 South Africa 2014 4.828 9.464
## 490 Switzerland 2019 7.694 11.136
## 491 Trinidad and Tobago 2006 5.832 10.224
## 492 United Kingdom 2015 6.515 10.712
## 493 Belgium 2013 7.104 10.784
## 494 Bolivia 2009 6.086 8.773
## 495 Dominican Republic 2012 4.753 9.489
## 496 Finland 2016 7.660 10.740
## 497 Honduras 2010 5.866 8.490
## 498 Ireland 2020 7.035 11.323
## 499 Mali 2010 3.762 7.642
## 500 Nicaragua 2015 5.924 8.636
## 501 Belgium 2005 7.262 10.745
## 502 Cambodia 2009 4.111 7.865
## 503 Canada 2020 7.025 10.730
## 504 Finland 2012 7.420 10.735
## 505 Sweden 2007 7.241 10.806
## 506 Colombia 2020 5.709 9.495
## 507 Estonia 2018 6.091 10.472
## 508 Sri Lanka 2017 4.331 9.440
## 509 United Arab Emirates 2017 7.039 11.115
## 510 Colombia 2016 6.234 9.571
## 511 Germany 2010 6.725 10.756
## 512 Germany 2011 6.621 10.813
## 513 Japan 2013 5.959 10.570
## 514 South Africa 2010 4.652 9.430
## 515 Taiwan Province of China 2008 5.548 10.606
## 516 United Kingdom 2014 6.758 10.697
## 517 Dominican Republic 2013 5.016 9.525
## 518 Kuwait 2011 6.378 11.017
## 519 Lesotho 2011 4.898 7.777
## 520 Mauritania 2013 4.199 8.506
## 521 Nicaragua 2018 5.819 8.647
## 522 Rwanda 2018 3.561 7.644
## 523 Saudi Arabia 2016 6.474 10.792
## 524 United Arab Emirates 2019 6.711 11.114
## 525 Uruguay 2009 6.296 9.710
## 526 Cambodia 2013 3.674 8.068
## 527 Germany 2009 6.641 10.714
## 528 Norway 2008 7.632 11.042
## 529 Switzerland 2018 7.509 11.134
## 530 Australia 2016 7.250 10.791
## 531 Nicaragua 2011 5.386 8.484
## 532 Australia 2015 7.309 10.779
## 533 Bahrain 2020 6.173 10.620
## 534 Bolivia 2020 5.559 8.998
## 535 Ecuador 2020 5.354 9.244
## 536 France 2010 6.798 10.654
## 537 Mexico 2011 6.910 9.810
## 538 Mexico 2013 7.443 9.832
## 539 Sri Lanka 2008 4.431 9.021
## 540 Austria 2011 7.471 10.887
## 541 China 2020 5.771 9.702
## 542 Honduras 2008 5.420 8.520
## 543 Luxembourg 2019 7.404 11.648
## 544 Peru 2017 5.711 9.434
## 545 Senegal 2019 5.489 8.130
## 546 Brazil 2014 6.981 9.664
## 547 Jamaica 2006 6.208 9.225
## 548 Kenya 2017 4.476 8.306
## 549 Netherlands 2008 7.631 10.899
## 550 Slovakia 2017 6.366 10.339
## 551 Uruguay 2012 6.450 9.861
## 552 Austria 2013 7.499 10.883
## 553 Bahrain 2016 6.170 10.781
## 554 Dominican Republic 2010 4.735 9.456
## 555 Finland 2017 7.788 10.768
## 556 Germany 2008 6.522 10.770
## 557 Kazakhstan 2019 6.272 10.179
## 558 Poland 2012 5.876 10.149
## 559 Singapore 2018 6.375 11.490
## 560 United Arab Emirates 2018 6.604 11.112
## 561 United States 2020 7.028 11.001
## 562 Uzbekistan 2011 5.739 8.493
## 563 Belgium 2017 6.928 10.834
## 564 Bolivia 2015 5.834 8.985
## 565 China 2009 4.454 8.996
## 566 Cyprus 2010 6.387 10.551
## 567 France 2015 6.358 10.682
## 568 South Africa 2016 4.770 9.450
## 569 Uzbekistan 2012 6.019 8.550
## 570 Denmark 2010 7.771 10.839
## 571 Dominican Republic 2009 5.432 9.388
## 572 Germany 2014 6.984 10.835
## 573 Japan 2009 5.845 10.491
## 574 Mauritius 2016 5.610 9.935
## 575 South Africa 2017 4.514 9.450
## 576 Cyprus 2017 6.062 10.539
## 577 Dominican Republic 2019 6.004 9.821
## 578 Finland 2014 7.385 10.714
## 579 Ireland 2014 7.018 10.959
## 580 Mexico 2012 7.320 9.832
## 581 Morocco 2013 5.142 8.829
## 582 Netherlands 2020 7.504 10.901
## 583 Nicaragua 2008 5.104 8.454
## 584 Philippines 2007 5.074 8.608
## 585 Poland 2013 5.746 10.164
## 586 Senegal 2016 4.595 8.029
## 587 Uruguay 2006 5.786 9.543
## 588 Bolivia 2016 5.770 9.012
## 589 Cambodia 2014 3.883 8.121
## 590 Ghana 2010 4.606 8.225
## 591 Thailand 2020 5.885 9.769
## 592 United Kingdom 2018 7.233 10.743
## 593 Bolivia 2012 6.019 8.865
## 594 Finland 2018 7.858 10.783
## 595 Mauritania 2012 4.673 8.495
## 596 Nigeria 2010 4.760 8.504
## 597 United Kingdom 2007 6.802 10.699
## 598 Bolivia 2008 5.298 8.756
## 599 France 2011 6.959 10.671
## 600 Nicaragua 2009 5.353 8.407
## 601 Nigeria 2006 4.710 8.326
## 602 Philippines 2019 6.268 9.095
## 603 South Africa 2015 4.887 9.460
## 604 Turkmenistan 2009 6.568 8.989
## 605 Zimbabwe 2011 4.846 7.846
## 606 Australia 2017 7.257 10.798
## 607 Austria 2014 6.950 10.882
## 608 Germany 2018 7.118 10.890
## 609 Japan 2008 5.911 10.546
## 610 Peru 2011 5.892 9.270
## 611 Bhutan 2013 5.569 9.123
## 612 Italy 2013 6.009 10.608
## 613 Nicaragua 2006 4.460 8.398
## 614 Switzerland 2016 7.459 11.106
## 615 Kosovo 2018 6.392 9.296
## 616 Kyrgyzstan 2016 4.857 8.500
## 617 Mauritania 2010 4.772 8.470
## 618 Peru 2013 5.783 9.369
## 619 Swaziland 2019 4.396 9.070
## 620 Tanzania 2009 3.408 7.572
## 621 France 2006 6.583 10.659
## 622 Japan 2012 5.968 10.549
## 623 Myanmar 2018 4.411 8.523
## 624 Poland 2014 5.750 10.197
## 625 Poland 2016 6.162 10.266
## 626 Uruguay 2007 5.694 9.604
## 627 Germany 2005 6.620 10.689
## 628 Japan 2011 6.263 10.532
## 629 Spain 2005 7.153 10.546
## 630 United Kingdom 2013 6.918 10.679
## 631 United Kingdom 2016 6.824 10.724
## 632 Uzbekistan 2010 5.095 8.445
## 633 Australia 2014 7.289 10.772
## 634 Italy 2009 6.334 10.652
## 635 Malaysia 2007 6.239 9.881
## 636 Malaysia 2015 6.322 10.118
## 637 Saudi Arabia 2017 6.294 10.764
## 638 United Arab Emirates 2016 6.831 11.105
## 639 United Kingdom 2019 7.157 10.751
## 640 Austria 2019 7.195 10.939
## 641 Cambodia 2010 4.141 7.907
## 642 Denmark 2012 7.520 10.846
## 643 Ghana 2009 4.198 8.174
## 644 Indonesia 2008 4.815 8.943
## 645 Mauritius 2018 5.882 10.008
## 646 Slovakia 2016 5.993 10.310
## 647 Switzerland 2017 7.474 11.115
## 648 Botswana 2012 4.836 9.632
## 649 Finland 2008 7.671 10.796
## 650 Finland 2011 7.354 10.754
## 651 France 2016 6.475 10.690
## 652 Gambia 2019 5.164 7.699
## 653 Philippines 2018 5.869 9.050
## 654 South Africa 2008 5.346 9.444
## 655 South Africa 2013 3.661 9.461
## 656 Kenya 2008 4.015 8.052
## 657 Kenya 2009 4.270 8.057
## 658 Saudi Arabia 2007 7.267 10.689
## 659 Spain 2008 7.294 10.579
## 660 Bolivia 2007 5.628 8.714
## 661 India 2009 4.522 8.281
## 662 Niger 2018 5.164 7.087
## 663 Senegal 2012 3.669 7.926
## 664 Australia 2019 7.234 10.815
## 665 Malaysia 2014 5.963 10.082
## 666 Mali 2018 4.416 7.733
## 667 Singapore 2013 6.533 11.357
## 668 Sri Lanka 2009 4.212 9.049
## 669 United Arab Emirates 2009 6.866 10.975
## 670 Australia 2020 7.137 10.760
## 671 Austria 2020 7.213 10.851
## 672 Denmark 2011 7.788 10.848
## 673 Finland 2013 7.445 10.722
## 674 France 2005 7.093 10.642
## 675 Jamaica 2017 5.890 9.169
## 676 Philippines 2017 5.594 9.002
## 677 Senegal 2010 4.372 7.917
## 678 Somaliland region 2010 4.657 NA
## 679 Switzerland 2020 7.508 11.081
## 680 Bahrain 2013 6.690 10.757
## 681 Guyana 2007 5.993 8.773
## 682 Japan 2015 5.880 10.588
## 683 United Arab Emirates 2012 7.218 10.958
## 684 Chile 2007 5.698 9.887
## 685 Dominican Republic 2007 5.081 9.372
## 686 France 2018 6.666 10.727
## 687 Kyrgyzstan 2015 4.905 8.477
## 688 Mali 2006 4.014 7.593
## 689 Mauritius 2020 6.015 9.972
## 690 Bolivia 2010 5.781 8.797
## 691 Kyrgyzstan 2019 5.685 8.567
## 692 Luxembourg 2017 7.061 11.634
## 693 Qatar 2012 6.611 11.523
## 694 Sweden 2020 7.314 10.838
## 695 Belgium 2016 6.949 10.819
## 696 China 2010 4.653 9.092
## 697 Germany 2015 7.037 10.844
## 698 Kenya 2013 3.795 8.192
## 699 Malawi 2009 5.148 6.838
## 700 Tanzania 2011 4.074 7.649
## 701 Argentina 2020 5.901 9.850
## 702 Bahrain 2009 5.701 10.709
## 703 Myanmar 2012 4.439 8.158
## 704 Saudi Arabia 2018 6.356 10.771
## 705 Slovakia 2020 6.519 10.332
## 706 Suriname 2012 6.269 9.797
## 707 Brazil 2016 6.375 9.578
## 708 Cyprus 2011 6.690 10.530
## 709 Cyprus 2019 6.137 10.585
## 710 France 2009 6.283 10.639
## 711 Kyrgyzstan 2018 5.297 8.543
## 712 Peru 2008 5.129 9.142
## 713 Rwanda 2014 3.596 7.484
## 714 South Africa 2011 4.931 9.447
## 715 Spain 2007 6.995 10.587
## 716 United Arab Emirates 2010 7.097 10.914
## 717 United Arab Emirates 2011 7.119 10.935
## 718 Bahrain 2019 7.098 10.715
## 719 France 2017 6.635 10.711
## 720 Hong Kong S.A.R. of China 2009 5.397 10.788
## 721 Mauritania 2011 4.785 8.481
## 722 Rwanda 2017 3.108 7.588
## 723 Tanzania 2018 3.445 7.859
## 724 Bolivia 2011 5.779 8.831
## 725 Brazil 2019 6.451 9.592
## 726 El Salvador 2016 6.140 9.025
## 727 Qatar 2011 6.592 11.553
## 728 South Africa 2012 5.134 9.453
## 729 United Arab Emirates 2015 6.568 11.086
## 730 Venezuela 2019 5.081 NA
## 731 Dominican Republic 2016 5.239 9.691
## 732 Germany 2020 7.312 10.833
## 733 Ghana 2012 5.057 8.397
## 734 Japan 2016 5.955 10.595
## 735 Kenya 2011 4.405 8.143
## 736 Mali 2009 3.977 7.622
## 737 Poland 2007 5.886 9.978
## 738 Poland 2020 6.139 10.371
## 739 Rwanda 2013 3.466 7.449
## 740 Australia 2018 7.177 10.811
## 741 Belize 2007 6.451 8.892
## 742 Bolivia 2013 5.767 8.915
## 743 Cyprus 2020 6.260 NA
## 744 Honduras 2007 5.097 8.500
## 745 Kenya 2018 4.656 8.344
## 746 Peru 2014 5.866 9.382
## 747 United Kingdom 2017 7.103 10.736
## 748 Venezuela 2018 5.006 NA
## 749 Luxembourg 2016 6.967 11.640
## 750 Mali 2011 4.667 7.643
## 751 Peru 2007 5.214 9.063
## 752 United Kingdom 2020 6.798 10.626
## 753 Chile 2008 5.789 9.911
## 754 Denmark 2008 7.971 10.880
## 755 Kazakhstan 2017 5.882 10.121
## 756 Luxembourg 2015 6.702 11.617
## 757 Peru 2012 5.825 9.322
## 758 Senegal 2009 4.335 7.909
## 759 Sri Lanka 2006 4.345 8.912
## 760 Austria 2016 7.048 10.891
## 761 Czech Republic 2016 6.736 10.518
## 762 Belize 2014 5.956 8.883
## 763 Brazil 2012 6.660 9.647
## 764 Brazil 2015 6.547 9.620
## 765 Cyprus 2012 6.181 10.479
## 766 Djibouti 2008 5.009 8.111
## 767 Finland 2019 7.780 10.792
## 768 Kyrgyzstan 2017 5.630 8.526
## 769 Mauritania 2014 4.483 8.519
## 770 Myanmar 2019 4.434 8.545
## 771 Niger 2006 3.737 6.888
## 772 Tanzania 2007 4.318 7.522
## 773 France 2012 6.649 10.669
## 774 Peru 2015 5.577 9.402
## 775 Saudi Arabia 2020 6.560 10.701
## 776 Slovakia 2018 6.235 10.376
## 777 Uganda 2012 4.309 7.592
## 778 Kosovo 2015 5.077 9.182
## 779 Austria 2018 7.396 10.928
## 780 India 2020 4.225 8.703
## 781 Jamaica 2019 6.309 9.186
## 782 Kuwait 2013 6.480 10.985
## 783 Madagascar 2017 4.079 7.368
## 784 Madagascar 2018 4.071 7.386
## 785 Rwanda 2016 3.333 7.576
## 786 Senegal 2011 3.834 7.904
## 787 Spain 2009 6.199 10.532
## 788 United Arab Emirates 2020 6.458 11.053
## 789 Bolivia 2019 5.674 9.074
## 790 Czech Republic 2015 6.608 10.496
## 791 Finland 2015 7.448 10.716
## 792 Germany 2019 7.035 10.893
## 793 Kenya 2019 4.619 8.373
## 794 Singapore 2006 6.463 11.168
## 795 Uruguay 2008 5.664 9.671
## 796 Vietnam 2019 5.467 8.992
## 797 Belgium 2018 6.892 10.844
## 798 Brazil 2018 6.191 9.589
## 799 Cyprus 2018 6.276 10.567
## 800 Luxembourg 2018 7.243 11.645
## 801 Malaysia 2006 6.012 9.839
## 802 Slovakia 2019 6.243 10.398
## 803 Denmark 2009 7.683 10.824
## 804 Kosovo 2019 6.425 9.339
## 805 Namibia 2014 4.574 9.232
## 806 Somaliland region 2011 4.931 NA
## 807 Spain 2012 6.291 10.487
## 808 Tajikistan 2020 5.373 8.080
## 809 Uzbekistan 2013 5.940 8.607
## 810 Austria 2017 7.294 10.908
## 811 Comoros 2018 3.973 8.028
## 812 Cyprus 2013 5.439 10.414
## 813 Dominican Republic 2006 5.088 9.314
## 814 Madagascar 2014 3.676 7.340
## 815 Mauritius 2017 6.174 9.972
## 816 Tanzania 2006 3.922 7.485
## 817 Zimbabwe 2010 4.682 7.729
## 818 Cyprus 2015 5.439 10.445
## 819 Ghana 2018 5.004 8.555
## 820 Botswana 2015 3.762 9.724
## 821 Cyprus 2009 6.833 10.558
## 822 France 2008 7.008 10.674
## 823 Lesotho 2017 3.795 7.931
## 824 Myanmar 2017 4.154 8.464
## 825 Senegal 2017 4.683 8.072
## 826 United Arab Emirates 2006 6.734 11.367
## 827 Dominican Republic 2018 5.433 9.782
## 828 Mexico 2015 6.236 9.867
## 829 Nepal 2008 4.441 7.686
## 830 Niger 2010 4.101 6.941
## 831 Nigeria 2009 4.980 8.453
## 832 Finland 2020 7.889 10.750
## 833 Ghana 2011 5.608 8.332
## 834 Guinea 2018 5.252 7.823
## 835 Malta 2012 5.963 10.389
## 836 Nigeria 2020 5.503 8.484
## 837 Saudi Arabia 2013 6.495 10.776
## 838 Tanzania 2008 4.385 7.549
## 839 Zambia 2008 4.730 7.918
## 840 Croatia 2020 6.508 10.166
## 841 Germany 2013 6.965 10.817
## 842 Hungary 2019 6.000 10.393
## 843 Ivory Coast 2013 3.739 8.274
## 844 Japan 2019 5.908 10.632
## 845 Kenya 2016 4.396 8.282
## 846 Zambia 2019 3.307 8.155
## 847 Bolivia 2018 5.916 9.066
## 848 Cyprus 2016 5.795 10.506
## 849 Japan 2014 5.923 10.575
## 850 Japan 2020 6.118 10.580
## 851 Mali 2017 4.742 7.718
## 852 Poland 2018 6.111 10.366
## 853 Portugal 2010 5.095 10.368
## 854 Saudi Arabia 2009 6.148 10.673
## 855 Mali 2014 3.975 7.638
## 856 Greece 2015 5.623 10.259
## 857 Japan 2017 5.911 10.618
## 858 Kazakhstan 2012 5.759 10.030
## 859 Nigeria 2008 4.939 8.403
## 860 Senegal 2006 4.417 7.881
## 861 Bolivia 2006 5.374 8.686
## 862 Botswana 2011 3.520 9.600
## 863 Cambodia 2008 4.462 7.879
## 864 Czech Republic 2017 6.790 10.558
## 865 Dominican Republic 2017 5.605 9.725
## 866 Japan 2005 6.516 10.529
## 867 Namibia 2018 4.834 9.204
## 868 Ethiopia 2014 4.507 7.413
## 869 Germany 2016 6.874 10.858
## 870 Greece 2007 6.647 10.543
## 871 Israel 2011 7.433 10.489
## 872 Kosovo 2017 6.149 9.262
## 873 Mauritania 2009 4.500 8.473
## 874 Mauritius 2011 5.477 9.767
## 875 Tanzania 2013 3.852 7.699
## 876 Zimbabwe 2016 3.735 7.984
## 877 Cyprus 2014 5.627 10.406
## 878 Germany 2017 7.074 10.878
## 879 Jamaica 2014 5.311 9.152
## 880 Poland 2010 5.887 10.085
## 881 Spain 2011 6.518 10.518
## 882 Comoros 2019 4.609 8.033
## 883 Czech Republic 2007 6.500 10.437
## 884 Malaysia 2013 5.770 10.037
## 885 Malta 2011 6.155 10.370
## 886 Morocco 2011 5.085 8.783
## 887 Nepal 2012 4.233 7.846
## 888 Rwanda 2019 3.268 7.708
## 889 Uzbekistan 2009 5.261 8.400
## 890 Zimbabwe 2009 4.056 7.563
## 891 Egypt 2005 5.168 9.036
## 892 France 2019 6.690 10.740
## 893 Hungary 2017 6.065 10.293
## 894 Hungary 2020 6.038 10.335
## 895 Lesotho 2019 3.512 7.926
## 896 Mauritania 2016 4.472 8.526
## 897 Romania 2018 6.151 10.260
## 898 Rwanda 2006 4.215 7.111
## 899 Somaliland region 2012 5.057 NA
## 900 South Africa 2007 5.204 9.426
## 901 Zambia 2013 5.244 8.131
## 902 Dominican Republic 2020 5.168 9.802
## 903 Hong Kong S.A.R. of China 2011 5.474 10.887
## 904 Jamaica 2013 5.709 9.151
## 905 Madagascar 2013 3.816 7.334
## 906 Poland 2015 6.007 10.235
## 907 Romania 2017 6.090 10.211
## 908 Sudan 2009 4.455 8.106
## 909 Belgium 2019 6.772 10.853
## 910 Kenya 2020 4.547 8.365
## 911 Mauritania 2007 4.149 8.533
## 912 Dominican Republic 2008 4.842 9.391
## 913 France 2020 6.714 10.643
## 914 Germany 2007 6.417 10.759
## 915 Lesotho 2016 3.808 7.953
## 916 Mauritania 2008 4.248 8.501
## 917 Nigeria 2016 5.220 8.573
## 918 Saudi Arabia 2019 6.561 10.757
## 919 Spain 2015 6.381 10.531
## 920 Botswana 2008 5.451 9.590
## 921 Japan 2007 6.238 10.558
## 922 Niger 2017 4.616 7.058
## 923 Tanzania 2014 3.483 7.734
## 924 Zambia 2016 4.348 8.151
## 925 Botswana 2018 3.461 9.778
## 926 Kazakhstan 2015 5.950 10.098
## 927 Niger 2009 4.267 6.898
## 928 Saudi Arabia 2005 7.080 10.699
## 929 Portugal 2012 4.994 10.315
## 930 Tajikistan 2019 5.464 8.126
## 931 Comoros 2010 3.812 7.965
## 932 Uzbekistan 2006 5.232 8.193
## 933 Zambia 2009 5.260 7.978
## 934 Ethiopia 2016 4.298 7.547
## 935 Malawi 2007 4.891 6.742
## 936 Moldova 2020 5.812 9.462
## 937 South Africa 2009 5.218 9.414
## 938 Estonia 2016 5.650 10.374
## 939 Kosovo 2020 6.294 NA
## 940 Saudi Arabia 2011 6.700 10.758
## 941 Tanzania 2019 3.640 7.886
## 942 Venezuela 2017 5.071 9.073
## 943 Zambia 2012 5.013 8.114
## 944 Bangladesh 2008 5.052 7.886
## 945 Kenya 2007 4.576 8.078
## 946 Kyrgyzstan 2014 5.252 8.460
## 947 Nigeria 2017 5.322 8.555
## 948 Poland 2011 5.646 10.133
## 949 Poland 2019 6.242 10.407
## 950 Portugal 2011 5.220 10.353
## 951 Senegal 2014 4.395 7.961
## 952 Tunisia 2010 5.131 9.222
## 953 Zimbabwe 2014 4.184 7.991
## 954 Mali 2013 3.676 7.599
## 955 North Cyprus 2014 5.786 NA
## 956 Saudi Arabia 2015 6.345 10.798
## 957 Spain 2010 6.188 10.529
## 958 Czech Republic 2005 6.439 10.324
## 959 Estonia 2015 5.629 10.348
## 960 Hong Kong S.A.R. of China 2006 5.511 10.746
## 961 Kuwait 2015 6.146 10.912
## 962 Madagascar 2019 4.339 7.406
## 963 Singapore 2019 6.378 11.486
## 964 Finland 2006 7.672 10.745
## 965 Kyrgyzstan 2013 5.402 8.441
## 966 Venezuela 2020 4.574 NA
## 967 Malta 2017 6.676 10.635
## 968 Malta 2018 6.910 10.670
## 969 Namibia 2017 4.441 9.215
## 970 Rwanda 2015 3.483 7.544
## 971 Singapore 2008 6.642 11.178
## 972 Czech Republic 2013 6.698 10.420
## 973 Cambodia 2006 3.569 7.746
## 974 Hong Kong S.A.R. of China 2008 5.137 10.816
## 975 Kazakhstan 2014 5.970 10.101
## 976 Kuwait 2009 6.585 11.065
## 977 Kuwait 2010 6.798 10.982
## 978 Libya 2016 5.434 9.268
## 979 Vietnam 2013 5.023 8.668
## 980 Ghana 2008 4.965 8.152
## 981 Nepal 2006 4.567 7.616
## 982 Nigeria 2015 4.933 8.615
## 983 Tanzania 2010 3.229 7.604
## 984 Bahrain 2015 6.007 10.785
## 985 Brazil 2017 6.333 9.583
## 986 Burkina Faso 2006 3.801 7.367
## 987 Italy 2007 6.574 10.727
## 988 Italy 2014 6.027 10.599
## 989 Spain 2014 6.456 10.492
## 990 Zimbabwe 2019 2.694 7.950
## 991 Hong Kong S.A.R. of China 2012 5.484 10.893
## 992 Malta 2009 6.328 10.331
## 993 Nigeria 2019 4.356 8.544
## 994 Poland 2005 5.587 9.849
## 995 Saudi Arabia 2012 6.396 10.779
## 996 Tanzania 2017 3.347 7.836
## 997 Zimbabwe 2006 3.826 7.711
## 998 Zimbabwe 2015 3.703 7.992
## 999 Bangladesh 2012 4.724 8.070
## 1000 Czech Republic 2018 7.034 10.583
## 1001 Dominican Republic 2015 5.062 9.637
## 1002 Ethiopia 2015 4.573 7.484
## 1003 Latvia 2020 6.229 10.300
## 1004 Romania 2015 5.777 10.083
## 1005 Senegal 2007 4.680 7.903
## 1006 Senegal 2018 4.769 8.106
## 1007 Slovakia 2015 6.162 10.291
## 1008 Tajikistan 2012 4.497 7.821
## 1009 Uzbekistan 2008 5.311 8.339
## 1010 Albania 2018 5.004 9.518
## 1011 Ghana 2020 5.319 8.590
## 1012 Malawi 2011 3.946 6.895
## 1013 Morocco 2016 5.386 8.869
## 1014 Botswana 2019 3.471 9.785
## 1015 Mali 2019 4.988 7.752
## 1016 Mongolia 2010 4.586 8.920
## 1017 Zimbabwe 2013 4.690 7.985
## 1018 Burkina Faso 2018 4.927 7.665
## 1019 India 2014 4.424 8.538
## 1020 Senegal 2015 4.617 7.995
## 1021 Afghanistan 2012 3.783 7.705
## 1022 Hong Kong S.A.R. of China 2010 5.643 10.847
## 1023 Israel 2008 7.261 10.440
## 1024 Portugal 2019 6.095 10.457
## 1025 Russia 2017 5.579 10.166
## 1026 Saudi Arabia 2008 6.811 10.722
## 1027 Zimbabwe 2018 3.616 8.049
## 1028 Libya 2019 5.330 9.627
## 1029 Mali 2015 4.582 7.669
## 1030 North Cyprus 2012 5.463 NA
## 1031 Portugal 2006 5.405 10.360
## 1032 Sri Lanka 2007 4.415 8.970
## 1033 Uganda 2007 4.456 7.419
## 1034 Hungary 2015 5.344 10.223
## 1035 Kenya 2012 4.547 8.161
## 1036 Malta 2019 6.733 10.677
## 1037 Mongolia 2019 5.563 9.418
## 1038 Bulgaria 2020 5.598 9.991
## 1039 Hungary 2013 4.914 10.140
## 1040 Libya 2018 5.494 9.617
## 1041 Niger 2007 4.277 6.881
## 1042 Kenya 2006 4.223 8.039
## 1043 Portugal 2014 5.127 10.325
## 1044 Saudi Arabia 2014 6.278 10.783
## 1045 Turkmenistan 2015 5.791 9.472
## 1046 Guinea 2017 4.874 7.792
## 1047 Ivory Coast 2016 4.543 8.437
## 1048 Kosovo 2016 5.759 9.228
## 1049 Libya 2015 5.615 9.308
## 1050 Malawi 2014 4.563 6.935
## 1051 Ghana 2017 5.481 8.517
## 1052 Japan 2018 5.794 10.623
## 1053 Portugal 2008 5.717 10.384
## 1054 Rwanda 2012 3.333 7.428
## 1055 Slovakia 2014 6.139 10.244
## 1056 Uganda 2015 4.238 7.627
## 1057 Uganda 2017 4.001 7.638
## 1058 Zambia 2018 4.041 8.167
## 1059 Zimbabwe 2020 3.160 7.829
## 1060 Benin 2013 3.479 7.964
## 1061 Estonia 2013 5.367 10.299
## 1062 Kazakhstan 2016 5.534 10.095
## 1063 Kenya 2015 4.358 8.249
## 1064 Madagascar 2006 3.980 7.376
## 1065 North Cyprus 2015 5.843 NA
## 1066 Greece 2016 5.303 10.261
## 1067 Guinea 2011 4.045 7.567
## 1068 Hungary 2007 4.954 10.153
## 1069 India 2015 4.342 8.604
## 1070 Vietnam 2014 5.085 8.716
## 1071 Zambia 2006 4.824 7.817
## 1072 Niger 2011 4.556 6.925
## 1073 Portugal 2013 5.158 10.312
## 1074 Singapore 2007 6.834 11.212
## 1075 Nepal 2011 3.809 7.797
## 1076 Uganda 2020 4.641 7.684
## 1077 Bolivia 2017 5.651 9.039
## 1078 Botswana 2013 4.128 9.728
## 1079 Israel 2013 7.321 10.515
## 1080 Ivory Coast 2017 5.038 8.483
## 1081 Slovakia 2013 5.937 10.218
## 1082 Tajikistan 2011 4.263 7.772
## 1083 India 2010 4.989 8.349
## 1084 Israel 2015 7.079 10.536
## 1085 Libya 2017 5.647 9.491
## 1086 Malta 2010 5.774 10.361
## 1087 Peru 2006 4.811 8.989
## 1088 Romania 2019 6.130 10.306
## 1089 South Korea 2009 5.648 10.386
## 1090 Ghana 2014 3.860 8.450
## 1091 Israel 2006 7.173 10.389
## 1092 Israel 2007 6.841 10.428
## 1093 Jordan 2005 6.295 9.246
## 1094 Kosovo 2011 4.860 9.067
## 1095 Spain 2013 6.150 10.476
## 1096 Greece 2014 4.756 10.257
## 1097 India 2016 4.179 8.673
## 1098 Israel 2009 7.353 10.425
## 1099 Kazakhstan 2011 5.736 9.997
## 1100 Kosovo 2010 5.177 9.033
## 1101 Kuwait 2019 6.106 10.817
## 1102 Libya 2012 5.754 9.842
## 1103 Tajikistan 2018 5.497 8.082
## 1104 Turkmenistan 2014 5.787 9.427
## 1105 Iran 2017 4.717 9.584
## 1106 Mongolia 2016 5.057 9.300
## 1107 Romania 2016 5.969 10.136
## 1108 Tajikistan 2007 4.432 7.609
## 1109 Tanzania 2016 2.903 7.800
## 1110 Gabon 2019 4.914 9.607
## 1111 Ivory Coast 2020 5.257 8.565
## 1112 Kazakhstan 2018 6.008 10.148
## 1113 Uganda 2019 4.948 7.688
## 1114 Brazil 2020 6.110 9.522
## 1115 Greece 2005 6.006 10.462
## 1116 Italy 2015 5.848 10.608
## 1117 Kazakhstan 2010 5.514 9.940
## 1118 Kosovo 2013 6.126 9.113
## 1119 Kuwait 2017 6.094 10.837
## 1120 Mauritania 2019 4.153 8.556
## 1121 Mongolia 2011 5.031 9.061
## 1122 Vietnam 2018 5.296 8.934
## 1123 Zambia 2014 4.346 8.146
## 1124 Burkina Faso 2019 4.741 7.691
## 1125 Ghana 2013 4.965 8.445
## 1126 Kyrgyzstan 2012 5.208 8.357
## 1127 Russia 2019 5.441 10.205
## 1128 Zambia 2020 4.838 8.117
## 1129 Botswana 2010 3.553 9.556
## 1130 Ghana 2015 3.986 8.449
## 1131 Jordan 2015 5.405 9.207
## 1132 Madagascar 2012 3.551 7.339
## 1133 Poland 2009 5.772 10.047
## 1134 South Korea 2007 5.767 10.361
## 1135 Zambia 2015 4.843 8.144
## 1136 Burundi 2011 3.706 6.748
## 1137 Greece 2013 4.720 10.243
## 1138 Mongolia 2012 4.885 9.158
## 1139 Tajikistan 2015 5.124 7.945
## 1140 Albania 2015 4.607 9.403
## 1141 Botswana 2006 4.739 9.492
## 1142 Kuwait 2016 5.947 10.910
## 1143 Russia 2014 6.037 10.171
## 1144 Ukraine 2020 5.270 9.428
## 1145 Venezuela 2016 4.041 9.010
## 1146 Guinea 2016 3.603 7.721
## 1147 India 2006 5.348 8.145
## 1148 Iran 2016 4.653 9.561
## 1149 Malta 2016 6.591 10.599
## 1150 Morocco 2012 4.970 8.799
## 1151 Zambia 2007 3.998 7.871
## 1152 Botswana 2016 3.499 9.748
## 1153 Ghana 2007 5.220 8.090
## 1154 Spain 2020 6.502 10.488
## 1155 Tanzania 2020 3.786 7.881
## 1156 Albania 2014 4.814 9.378
## 1157 Bahrain 2010 5.937 10.706
## 1158 Bangladesh 2011 4.986 8.018
## 1159 Guinea 2019 4.768 7.849
## 1160 Italy 2016 5.955 10.622
## 1161 Uganda 2018 4.322 7.660
## 1162 Vietnam 2010 5.296 8.535
## 1163 Zambia 2017 3.933 8.156
## 1164 Greece 2020 5.788 10.215
## 1165 Hong Kong S.A.R. of China 2014 5.458 10.940
## 1166 Jordan 2013 5.172 9.237
## 1167 Kazakhstan 2020 6.168 10.135
## 1168 Portugal 2016 5.447 10.370
## 1169 South Korea 2019 5.903 10.661
## 1170 Egypt 2008 4.632 9.186
## 1171 Jordan 2007 5.598 9.321
## 1172 Pakistan 2007 5.671 8.277
## 1173 Ghana 2019 4.967 8.596
## 1174 India 2017 4.046 8.730
## 1175 Ivory Coast 2018 5.268 8.523
## 1176 Mali 2008 4.115 7.607
## 1177 Niger 2015 3.671 7.030
## 1178 Vietnam 2006 5.294 8.335
## 1179 Albania 2019 4.995 9.544
## 1180 Cameroon 2013 4.271 8.090
## 1181 Kyrgyzstan 2011 4.921 8.374
## 1182 Mali 2012 4.313 7.605
## 1183 Uganda 2014 3.770 7.611
## 1184 Estonia 2014 5.556 10.331
## 1185 India 2013 4.428 8.478
## 1186 Malta 2015 6.613 10.566
## 1187 Russia 2013 5.537 10.182
## 1188 Senegal 2013 3.647 7.926
## 1189 Albania 2020 5.365 9.497
## 1190 Israel 2010 7.359 10.461
## 1191 Italy 2005 6.854 10.703
## 1192 Kazakhstan 2009 5.383 9.884
## 1193 Portugal 2018 5.920 10.434
## 1194 Russia 2015 5.996 10.149
## 1195 Slovenia 2019 6.665 10.563
## 1196 Tanzania 2012 4.007 7.663
## 1197 Czech Republic 2014 6.484 10.446
## 1198 Niger 2014 4.181 7.027
## 1199 Qatar 2009 6.418 11.456
## 1200 Rwanda 2009 4.030 7.273
## 1201 Slovakia 2006 5.265 10.015
## 1202 Uganda 2011 4.826 7.586
## 1203 Guinea 2012 3.652 7.603
## 1204 Poland 2017 6.201 10.314
## 1205 Tajikistan 2013 4.967 7.870
## 1206 Hungary 2018 5.936 10.344
## 1207 South Korea 2013 5.959 10.520
## 1208 South Korea 2016 5.971 10.593
## 1209 Uganda 2013 3.710 7.595
## 1210 Albania 2016 4.511 9.437
## 1211 Hungary 2005 5.194 10.108
## 1212 Kazakhstan 2008 5.886 9.898
## 1213 Mongolia 2017 5.334 9.334
## 1214 Niger 2016 4.235 7.047
## 1215 Botswana 2014 4.031 9.756
## 1216 India 2008 5.146 8.220
## 1217 Israel 2017 7.331 10.570
## 1218 Ivory Coast 2019 5.392 8.564
## 1219 Kazakhstan 2013 5.835 10.074
## 1220 Latvia 2007 4.667 10.136
## 1221 Russia 2018 5.514 10.191
## 1222 Senegal 2008 4.683 7.916
## 1223 Comoros 2009 3.476 7.952
## 1224 Namibia 2019 4.436 9.173
## 1225 Nepal 2010 4.350 7.765
## 1226 Ghana 2006 4.535 8.073
## 1227 Slovenia 2010 6.083 10.419
## 1228 Bangladesh 2009 5.083 7.924
## 1229 Italy 2012 5.839 10.638
## 1230 Italy 2020 6.488 10.563
## 1231 Malawi 2006 3.830 6.678
## 1232 Albania 2017 4.640 9.476
## 1233 Ethiopia 2020 4.549 7.711
## 1234 Jordan 2008 4.930 9.343
## 1235 Kazakhstan 2006 5.476 9.804
## 1236 Sudan 2010 4.435 8.076
## 1237 Zimbabwe 2012 4.955 7.983
## 1238 Ethiopia 2012 4.561 7.271
## 1239 Ghana 2016 4.514 8.460
## 1240 Greece 2019 5.952 10.319
## 1241 India 2007 5.027 8.204
## 1242 Liberia 2017 4.424 7.324
## 1243 Uganda 2016 4.233 7.637
## 1244 Comoros 2011 3.838 7.981
## 1245 Guinea 2015 3.505 7.645
## 1246 Burundi 2018 3.775 6.635
## 1247 Estonia 2007 5.332 10.347
## 1248 Greece 2018 5.409 10.299
## 1249 Hungary 2016 5.449 10.248
## 1250 Slovakia 2010 6.052 10.169
## 1251 Egypt 2007 5.541 9.135
## 1252 Israel 2012 7.111 10.493
## 1253 Pakistan 2012 5.132 8.289
## 1254 Rwanda 2011 4.097 7.369
## 1255 Vietnam 2008 5.480 8.440
## 1256 Hong Kong S.A.R. of China 2016 5.498 10.970
## 1257 Hungary 2009 4.895 10.097
## 1258 Ivory Coast 2015 4.445 8.393
## 1259 South Korea 2012 6.003 10.494
## 1260 Bulgaria 2019 5.108 10.047
## 1261 Israel 2018 6.927 10.585
## 1262 Mauritania 2018 4.314 8.526
## 1263 Spain 2019 6.457 10.618
## 1264 Cameroon 2016 4.816 8.167
## 1265 Djibouti 2009 4.906 7.927
## 1266 South Korea 2010 6.116 10.447
## 1267 Algeria 2016 5.341 9.362
## 1268 Italy 2017 6.199 10.640
## 1269 Morocco 2015 5.163 8.872
## 1270 South Korea 2018 5.840 10.643
## 1271 Zimbabwe 2007 3.280 7.666
## 1272 Ethiopia 2018 4.379 7.651
## 1273 Jordan 2014 5.333 9.222
## 1274 Liberia 2018 4.135 7.311
## 1275 Lithuania 2020 6.391 10.504
## 1276 Malta 2013 6.380 10.422
## 1277 Angola 2011 5.589 8.946
## 1278 Benin 2019 4.976 8.098
## 1279 Iran 2013 5.140 9.443
## 1280 Slovenia 2015 5.741 10.433
## 1281 Spain 2018 6.513 10.605
## 1282 Angola 2013 3.937 9.005
## 1283 Italy 2011 6.057 10.671
## 1284 India 2018 3.818 8.779
## 1285 Portugal 2015 5.081 10.347
## 1286 Botswana 2017 3.505 9.756
## 1287 Burundi 2014 2.905 6.787
## 1288 Hungary 2010 4.725 10.106
## 1289 Slovakia 2012 5.911 10.213
## 1290 Slovenia 2012 6.063 10.397
## 1291 South Korea 2011 6.947 10.475
## 1292 Tajikistan 2014 4.896 7.911
## 1293 Croatia 2017 5.343 10.189
## 1294 Estonia 2006 5.371 10.270
## 1295 Kosovo 2007 5.104 8.928
## 1296 Kyrgyzstan 2006 4.641 8.185
## 1297 Kyrgyzstan 2007 4.698 8.258
## 1298 Pakistan 2008 4.414 8.271
## 1299 Latvia 2006 4.710 10.032
## 1300 Latvia 2016 5.940 10.211
## 1301 Mongolia 2018 5.465 9.386
## 1302 Romania 2014 5.727 10.041
## 1303 Mongolia 2015 4.983 9.308
## 1304 South Korea 2014 5.801 10.546
## 1305 Spain 2016 6.319 10.560
## 1306 Hungary 2012 4.683 10.117
## 1307 Latvia 2014 5.729 10.144
## 1308 Malta 2014 6.452 10.486
## 1309 Slovenia 2006 5.811 10.403
## 1310 Slovenia 2011 6.036 10.426
## 1311 Turkey 2010 5.490 9.906
## 1312 Burkina Faso 2007 4.017 7.377
## 1313 Cameroon 2015 5.038 8.149
## 1314 Estonia 2011 5.487 10.248
## 1315 Hungary 2014 5.181 10.183
## 1316 Kazakhstan 2007 5.719 9.878
## 1317 Pakistan 2010 5.786 8.270
## 1318 South Korea 2006 5.332 10.310
## 1319 Turkey 2007 5.623 9.903
## 1320 Kyrgyzstan 2010 4.996 8.329
## 1321 Niger 2008 4.236 6.918
## 1322 Niger 2013 3.716 7.002
## 1323 South Korea 2015 5.780 10.568
## 1324 Greece 2009 6.039 10.491
## 1325 Italy 2018 6.517 10.650
## 1326 Mongolia 2013 4.913 9.248
## 1327 Portugal 2017 5.711 10.407
## 1328 Albania 2010 5.269 9.303
## 1329 India 2011 4.635 8.387
## 1330 India 2019 3.249 8.818
## 1331 Mozambique 2017 4.280 7.157
## 1332 Namibia 2020 4.451 9.104
## 1333 Pakistan 2016 5.549 8.394
## 1334 Portugal 2020 5.768 10.371
## 1335 Uganda 2010 4.193 7.528
## 1336 Belgium 2020 6.839 10.771
## 1337 Benin 2018 5.820 8.059
## 1338 Cuba 2006 5.418 NA
## 1339 Estonia 2012 5.364 10.282
## 1340 Ivory Coast 2014 3.570 8.334
## 1341 Congo (Kinshasa) 2016 4.522 6.962
## 1342 Congo (Brazzaville) 2019 5.213 8.101
## 1343 Iran 2015 4.750 9.449
## 1344 Jordan 2009 6.000 9.347
## 1345 Russia 2020 5.495 10.162
## 1346 Saudi Arabia 2010 6.307 10.693
## 1347 Turkey 2012 5.309 10.026
## 1348 Bosnia and Herzegovina 2020 5.516 9.583
## 1349 Iraq 2020 4.785 9.167
## 1350 North Cyprus 2016 5.827 NA
## 1351 Romania 2007 5.394 9.892
## 1352 Slovenia 2018 6.249 10.546
## 1353 Tajikistan 2016 5.104 7.987
## 1354 Azerbaijan 2019 5.173 9.575
## 1355 Bosnia and Herzegovina 2018 5.887 9.576
## 1356 Bulgaria 2015 4.865 9.883
## 1357 Ethiopia 2013 4.445 7.343
## 1358 Jordan 2010 5.570 9.317
## 1359 Nepal 2007 4.748 7.638
## 1360 Rwanda 2008 4.363 7.239
## 1361 South Korea 2008 5.390 10.383
## 1362 Tajikistan 2010 4.381 7.723
## 1363 Ukraine 2013 4.711 9.438
## 1364 Algeria 2017 5.249 9.354
## 1365 Cameroon 2018 5.251 8.190
## 1366 Egypt 2009 5.066 9.213
## 1367 Hungary 2011 4.918 10.127
## 1368 Latvia 2013 5.070 10.116
## 1369 North Macedonia 2012 4.640 9.513
## 1370 Romania 2005 5.049 9.724
## 1371 Vietnam 2015 5.076 8.770
## 1372 Bosnia and Herzegovina 2016 5.181 9.500
## 1373 Burundi 2009 3.792 6.723
## 1374 Czech Republic 2010 6.250 10.419
## 1375 Gabon 2018 4.783 9.599
## 1376 Jordan 2016 5.271 9.197
## 1377 Slovenia 2009 5.830 10.410
## 1378 Uganda 2008 4.569 7.471
## 1379 Albania 2009 5.485 9.262
## 1380 Gabon 2016 4.832 9.639
## 1381 Hong Kong S.A.R. of China 2017 5.362 11.000
## 1382 Luxembourg 2013 7.131 11.580
## 1383 Mozambique 2018 4.654 7.162
## 1384 Romania 2013 5.082 10.004
## 1385 South Korea 2020 5.793 10.648
## 1386 Uganda 2009 4.612 7.505
## 1387 Bulgaria 2018 5.099 10.007
## 1388 Latvia 2008 5.145 10.112
## 1389 North Macedonia 2016 5.346 9.640
## 1390 Pakistan 2009 5.208 8.277
## 1391 Turkmenistan 2011 5.792 9.182
## 1392 Morocco 2018 4.897 8.914
## 1393 Nigeria 2013 4.818 8.581
## 1394 Croatia 2009 5.433 10.104
## 1395 Italy 2008 6.780 10.711
## 1396 Mauritania 2017 4.678 8.533
## 1397 North Macedonia 2014 5.204 9.576
## 1398 Slovakia 2011 5.945 10.196
## 1399 Kosovo 2014 5.000 9.129
## 1400 Liberia 2016 3.355 7.324
## 1401 Liberia 2019 5.121 7.264
## 1402 Mongolia 2020 6.011 9.396
## 1403 Russia 2016 5.855 10.149
## 1404 Turkmenistan 2016 5.887 9.515
## 1405 Ukraine 2007 5.252 9.459
## 1406 Bangladesh 2007 4.607 7.839
## 1407 Bangladesh 2015 4.633 8.216
## 1408 Cameroon 2007 4.350 8.028
## 1409 Israel 2019 7.332 10.601
## 1410 Slovenia 2013 5.975 10.385
## 1411 Turkey 2013 4.888 10.091
## 1412 Albania 2013 4.551 9.359
## 1413 Congo (Kinshasa) 2012 4.639 6.832
## 1414 Gabon 2017 4.782 9.616
## 1415 Greece 2010 5.840 10.433
## 1416 Mozambique 2007 4.833 6.823
## 1417 Ukraine 2019 4.702 9.458
## 1418 Bosnia and Herzegovina 2019 6.016 9.609
## 1419 Malawi 2015 3.868 6.935
## 1420 Cameroon 2017 5.074 8.176
## 1421 Ethiopia 2019 4.100 7.705
## 1422 Italy 2019 6.445 10.655
## 1423 Moldova 2019 5.803 9.475
## 1424 Zimbabwe 2008 3.174 7.461
## 1425 Burkina Faso 2013 3.326 7.546
## 1426 Cameroon 2020 5.241 8.175
## 1427 Bangladesh 2010 4.858 7.967
## 1428 Cameroon 2019 4.937 8.203
## 1429 Guinea 2014 3.412 7.632
## 1430 India 2012 4.720 8.428
## 1431 Israel 2016 7.159 10.555
## 1432 Nepal 2013 4.605 7.889
## 1433 Albania 2011 5.867 9.331
## 1434 Bulgaria 2014 4.438 9.838
## 1435 Chad 2017 4.559 7.370
## 1436 Jordan 2017 4.808 9.194
## 1437 Pakistan 2011 5.267 8.276
## 1438 Palestinian Territories 2010 4.703 8.383
## 1439 Mongolia 2014 4.825 9.304
## 1440 Nepal 2016 5.100 7.973
## 1441 Algeria 2014 6.355 9.335
## 1442 Benin 2011 3.870 7.904
## 1443 Gabon 2015 4.661 9.649
## 1444 Iran 2007 5.336 9.497
## 1445 Slovenia 2016 5.937 10.463
## 1446 Armenia 2017 4.288 9.402
## 1447 Haiti 2011 4.845 7.423
## 1448 Palestinian Territories 2019 4.483 NA
## 1449 Sierra Leone 2015 4.909 7.347
## 1450 Spain 2017 6.230 10.586
## 1451 Iran 2008 5.129 9.489
## 1452 Bulgaria 2013 3.993 9.813
## 1453 Cameroon 2014 4.240 8.120
## 1454 Kyrgyzstan 2008 4.737 8.329
## 1455 Latvia 2017 5.978 10.257
## 1456 Montenegro 2009 4.801 9.699
## 1457 Mozambique 2006 4.595 6.776
## 1458 Mozambique 2008 4.654 6.865
## 1459 Russia 2007 5.223 10.074
## 1460 South Korea 2017 5.874 10.621
## 1461 Bulgaria 2016 4.838 9.928
## 1462 Croatia 2012 6.028 10.072
## 1463 North Cyprus 2013 5.567 NA
## 1464 Ukraine 2006 4.804 9.380
## 1465 Afghanistan 2013 3.572 7.725
## 1466 Congo (Brazzaville) 2011 4.510 8.180
## 1467 Israel 2020 7.195 10.538
## 1468 Lithuania 2006 5.954 10.046
## 1469 Moldova 2016 5.578 9.300
## 1470 Turkey 2011 5.272 9.996
## 1471 North Macedonia 2015 4.976 9.613
## 1472 Slovenia 2014 5.678 10.412
## 1473 Azerbaijan 2013 5.481 9.592
## 1474 Bangladesh 2013 4.660 8.116
## 1475 Belarus 2014 5.812 9.856
## 1476 Haiti 2015 3.570 7.476
## 1477 Lithuania 2014 6.126 10.306
## 1478 Moldova 2006 5.102 8.936
## 1479 Tanzania 2015 3.661 7.764
## 1480 Afghanistan 2010 4.758 7.647
## 1481 Cameroon 2012 4.245 8.065
## 1482 Iran 2014 4.682 9.476
## 1483 Congo (Kinshasa) 2011 4.517 6.797
## 1484 Burkina Faso 2016 4.206 7.596
## 1485 Palestinian Territories 2012 4.647 8.531
## 1486 Benin 2017 4.853 8.021
## 1487 Slovenia 2017 6.167 10.509
## 1488 South Sudan 2016 2.888 NA
## 1489 Togo 2006 3.202 7.078
## 1490 Vietnam 2012 5.535 8.626
## 1491 Bulgaria 2017 5.097 9.969
## 1492 Burkina Faso 2014 3.481 7.559
## 1493 Central African Republic 2017 3.476 6.817
## 1494 Chad 2007 4.141 7.359
## 1495 Croatia 2016 5.417 10.146
## 1496 Madagascar 2008 4.640 7.439
## 1497 Nepal 2014 4.975 7.948
## 1498 South Sudan 2014 3.832 NA
## 1499 Togo 2017 4.361 7.324
## 1500 Turkey 2008 5.118 9.899
## 1501 Bosnia and Herzegovina 2007 4.900 9.267
## 1502 Haiti 2006 3.754 7.407
## 1503 Liberia 2007 3.701 7.196
## 1504 Comoros 2012 3.956 7.988
## 1505 Jordan 2011 5.539 9.289
## 1506 Tunisia 2016 4.521 9.262
## 1507 Turkmenistan 2018 4.621 9.605
## 1508 Afghanistan 2011 3.832 7.620
## 1509 Egypt 2016 4.557 9.287
## 1510 Georgia 2020 5.123 9.569
## 1511 Russia 2006 4.964 9.991
## 1512 Russia 2012 5.621 10.166
## 1513 Yemen 2014 3.968 8.117
## 1514 Congo (Brazzaville) 2013 3.955 8.201
## 1515 Congo (Brazzaville) 2016 4.119 8.190
## 1516 Egypt 2015 4.763 9.266
## 1517 Palestinian Territories 2018 4.554 NA
## 1518 Slovenia 2020 6.462 10.478
## 1519 Belarus 2013 5.876 9.839
## 1520 Benin 2020 4.408 8.102
## 1521 Croatia 2015 5.205 10.104
## 1522 Czech Republic 2012 6.334 10.426
## 1523 Ethiopia 2017 4.180 7.612
## 1524 Hong Kong S.A.R. of China 2020 5.295 NA
## 1525 Iran 2012 4.609 9.458
## 1526 Malawi 2017 3.417 6.945
## 1527 Syria 2008 5.323 8.652
## 1528 Ukraine 2018 4.662 9.420
## 1529 Benin 2016 4.007 7.993
## 1530 Haiti 2008 3.846 7.417
## 1531 Iran 2005 5.308 9.393
## 1532 Latvia 2015 5.881 10.185
## 1533 Lithuania 2017 6.273 10.429
## 1534 Togo 2018 4.023 7.348
## 1535 Albania 2012 5.510 9.347
## 1536 Azerbaijan 2015 5.147 9.606
## 1537 Chad 2015 4.323 7.527
## 1538 Croatia 2010 5.596 10.091
## 1539 Kyrgyzstan 2009 5.069 8.345
## 1540 Cameroon 2006 3.851 8.007
## 1541 Cameroon 2010 4.554 8.035
## 1542 Congo (Brazzaville) 2015 4.691 8.243
## 1543 Tajikistan 2008 5.064 7.665
## 1544 Belarus 2006 5.658 9.489
## 1545 Iraq 2018 4.886 9.274
## 1546 North Macedonia 2020 5.054 9.690
## 1547 Tajikistan 2009 4.575 7.682
## 1548 Algeria 2012 5.605 9.311
## 1549 Georgia 2019 4.892 9.617
## 1550 Israel 2014 7.401 10.533
## 1551 Ivory Coast 2009 4.197 8.209
## 1552 Togo 2016 3.879 7.306
## 1553 Greece 2017 5.148 10.278
## 1554 Malawi 2016 3.476 6.932
## 1555 Montenegro 2011 5.223 9.755
## 1556 Montenegro 2020 5.722 9.913
## 1557 Niger 2012 3.798 6.987
## 1558 North Macedonia 2007 4.494 9.416
## 1559 Serbia 2020 6.042 9.788
## 1560 Tajikistan 2017 5.829 8.036
## 1561 Singapore 2010 6.531 11.267
## 1562 Czech Republic 2011 6.331 10.435
## 1563 Malta 2020 6.157 NA
## 1564 Russia 2011 5.389 10.129
## 1565 Bangladesh 2006 4.319 7.783
## 1566 Cameroon 2008 4.292 8.034
## 1567 Guinea 2013 3.902 7.619
## 1568 Iran 2019 5.006 NA
## 1569 Sierra Leone 2017 4.090 7.404
## 1570 Congo (Brazzaville) 2017 4.884 8.146
## 1571 Egypt 2020 4.472 9.383
## 1572 Hong Kong S.A.R. of China 2019 5.659 11.000
## 1573 Syria 2011 4.038 8.727
## 1574 Togo 2015 3.768 7.277
## 1575 Turkmenistan 2013 5.392 9.348
## 1576 Armenia 2019 5.488 9.522
## 1577 Azerbaijan 2014 5.252 9.607
## 1578 Azerbaijan 2016 5.304 9.564
## 1579 Cameroon 2011 4.434 8.048
## 1580 Croatia 2011 5.385 10.091
## 1581 Estonia 2009 5.138 10.144
## 1582 Kosovo 2009 5.891 9.008
## 1583 Pakistan 2013 5.138 8.311
## 1584 Turkey 2009 5.213 9.838
## 1585 Bosnia and Herzegovina 2017 5.090 9.532
## 1586 Estonia 2008 5.452 10.298
## 1587 Palestinian Territories 2017 4.628 8.485
## 1588 Ukraine 2017 4.311 9.382
## 1589 Belarus 2007 5.617 9.576
## 1590 Bosnia and Herzegovina 2011 4.995 9.333
## 1591 Croatia 2014 5.381 10.072
## 1592 Italy 2010 6.354 10.666
## 1593 Kosovo 2012 5.640 9.086
## 1594 Romania 2010 4.909 9.915
## 1595 Congo (Brazzaville) 2014 4.056 8.242
## 1596 Georgia 2013 4.349 9.371
## 1597 Liberia 2010 4.196 7.258
## 1598 Lithuania 2015 5.711 10.335
## 1599 Montenegro 2010 5.455 9.724
## 1600 Armenia 2015 4.348 9.334
## 1601 Armenia 2016 4.325 9.333
## 1602 Bulgaria 2007 3.844 9.715
## 1603 Lithuania 2016 5.866 10.373
## 1604 Palestinian Territories 2013 4.844 8.489
## 1605 Palestinian Territories 2015 4.695 8.480
## 1606 Russia 2008 5.619 10.125
## 1607 Ukraine 2014 4.297 9.426
## 1608 Azerbaijan 2018 5.168 9.562
## 1609 Cameroon 2009 4.741 8.029
## 1610 Haiti 2012 4.413 7.437
## 1611 Haiti 2014 3.889 7.477
## 1612 Palestinian Territories 2016 4.907 8.498
## 1613 Azerbaijan 2017 5.152 9.555
## 1614 Benin 2015 3.625 7.988
## 1615 Mozambique 2011 4.971 6.979
## 1616 Tunisia 2018 4.741 9.284
## 1617 Yemen 2007 4.477 8.214
## 1618 Algeria 2018 5.043 9.348
## 1619 Belarus 2019 5.821 9.860
## 1620 Chad 2011 4.393 7.425
## 1621 Gabon 2011 4.255 9.608
## 1622 Greece 2011 5.372 10.339
## 1623 Montenegro 2016 5.304 9.839
## 1624 Montenegro 2019 5.386 9.970
## 1625 Benin 2014 3.347 7.998
## 1626 Burkina Faso 2010 4.036 7.453
## 1627 Croatia 2013 5.885 10.069
## 1628 Moldova 2015 6.017 9.246
## 1629 Montenegro 2018 5.650 9.934
## 1630 North Macedonia 2018 5.240 9.677
## 1631 Togo 2019 4.179 7.375
## 1632 Uganda 2006 3.734 7.370
## 1633 Ukraine 2011 5.083 9.431
## 1634 Bahrain 2012 5.027 10.716
## 1635 Congo (Kinshasa) 2013 4.497 6.880
## 1636 Congo (Kinshasa) 2015 3.903 6.971
## 1637 Lithuania 2007 5.808 10.163
## 1638 Morocco 2019 5.057 8.925
## 1639 Russia 2010 5.385 10.087
## 1640 Ukraine 2016 4.029 9.353
## 1641 Congo (Brazzaville) 2018 5.490 8.136
## 1642 North Macedonia 2011 4.898 9.518
## 1643 Tunisia 2011 4.876 9.192
## 1644 Vietnam 2007 5.422 8.394
## 1645 Benin 2006 3.330 7.866
## 1646 Chad 2019 4.251 7.365
## 1647 Montenegro 2014 5.283 9.777
## 1648 Morocco 2020 4.803 8.871
## 1649 Mozambique 2019 4.932 7.155
## 1650 Croatia 2007 5.821 10.162
## 1651 Malawi 2018 3.335 6.949
## 1652 Mongolia 2008 4.493 8.904
## 1653 Pakistan 2017 5.831 8.428
## 1654 South Sudan 2015 4.071 NA
## 1655 South Sudan 2017 2.817 NA
## 1656 Sudan 2011 4.314 8.204
## 1657 Algeria 2019 4.745 9.337
## 1658 Burkina Faso 2017 4.647 7.627
## 1659 Latvia 2018 5.901 10.307
## 1660 Liberia 2008 4.221 7.223
## 1661 Pakistan 2014 5.436 8.336
## 1662 Tunisia 2020 4.731 9.231
## 1663 Afghanistan 2009 4.402 7.540
## 1664 Belarus 2015 5.719 9.815
## 1665 Benin 2008 3.667 7.915
## 1666 Haiti 2018 3.615 7.477
## 1667 Lebanon 2005 5.491 9.565
## 1668 Moldova 2008 5.503 9.045
## 1669 Moldova 2010 5.590 9.054
## 1670 Sierra Leone 2016 4.733 7.384
## 1671 Turkmenistan 2012 5.464 9.269
## 1672 Benin 2012 3.193 7.923
## 1673 Moldova 2014 5.917 9.241
## 1674 Togo 2014 2.839 7.247
## 1675 Ukraine 2009 5.166 9.332
## 1676 Vietnam 2009 5.304 8.483
## 1677 Yemen 2009 4.809 8.278
## 1678 Bangladesh 2020 5.280 8.472
## 1679 Chad 2016 4.029 7.431
## 1680 Croatia 2018 5.536 10.224
## 1681 Iran 2020 4.865 NA
## 1682 Moldova 2013 5.756 9.192
## 1683 Moldova 2018 5.682 9.423
## 1684 Sierra Leone 2007 3.585 7.187
## 1685 Yemen 2010 4.350 8.453
## 1686 Armenia 2014 4.453 9.307
## 1687 Armenia 2018 5.062 9.451
## 1688 Georgia 2017 4.451 9.517
## 1689 Greece 2012 5.096 10.268
## 1690 Lithuania 2012 5.771 10.218
## 1691 Lithuania 2013 5.596 10.263
## 1692 Moldova 2017 5.326 9.363
## 1693 Pakistan 2019 4.443 8.453
## 1694 Chad 2006 3.435 7.360
## 1695 Montenegro 2015 5.125 9.810
## 1696 Angola 2014 3.795 9.017
## 1697 Burkina Faso 2011 4.785 7.487
## 1698 Burkina Faso 2015 4.419 7.568
## 1699 Central African Republic 2016 2.693 6.785
## 1700 Djibouti 2011 4.369 7.880
## 1701 Montenegro 2007 5.196 9.693
## 1702 Azerbaijan 2008 4.817 9.465
## 1703 Iran 2011 4.768 9.547
## 1704 Lebanon 2011 5.188 9.838
## 1705 North Macedonia 2013 5.186 9.541
## 1706 North Macedonia 2009 4.428 9.464
## 1707 North Macedonia 2019 5.015 9.711
## 1708 Serbia 2007 4.750 9.532
## 1709 Sudan 2012 4.550 8.296
## 1710 Latvia 2019 5.970 10.336
## 1711 Pakistan 2015 4.823 8.361
## 1712 Iraq 2014 4.542 9.250
## 1713 Montenegro 2012 5.219 9.726
## 1714 Syria 2009 4.979 8.654
## 1715 Ukraine 2015 3.965 9.327
## 1716 Bulgaria 2012 4.222 9.804
## 1717 Congo (Brazzaville) 2008 3.820 8.082
## 1718 Georgia 2018 4.659 9.565
## 1719 Haiti 2017 3.824 7.475
## 1720 Tunisia 2015 5.132 9.261
## 1721 Ukraine 2008 5.172 9.488
## 1722 Bosnia and Herzegovina 2009 4.963 9.296
## 1723 Moldova 2007 4.775 8.968
## 1724 Mongolia 2007 4.609 8.833
## 1725 Nepal 2017 4.737 8.039
## 1726 Palestinian Territories 2008 4.386 8.276
## 1727 Georgia 2014 4.288 9.414
## 1728 Lithuania 2011 5.432 10.167
## 1729 Nepal 2009 4.917 7.723
## 1730 Sierra Leone 2014 4.500 7.600
## 1731 Ukraine 2012 5.030 9.436
## 1732 Bangladesh 2017 4.310 8.334
## 1733 Chad 2008 4.632 7.356
## 1734 Central African Republic 2007 4.160 6.987
## 1735 Lebanon 2015 5.172 9.699
## 1736 Moldova 2011 5.792 9.111
## 1737 Moldova 2012 5.996 9.105
## 1738 Belarus 2010 5.526 9.758
## 1739 Egypt 2010 4.669 9.244
## 1740 North Macedonia 2010 4.180 9.496
## 1741 Pakistan 2018 5.472 8.464
## 1742 Palestinian Territories 2011 4.751 8.474
## 1743 Belarus 2009 5.564 9.681
## 1744 Lithuania 2019 6.064 10.518
## 1745 Palestinian Territories 2007 4.151 8.218
## 1746 Russia 2009 5.158 10.044
## 1747 Tajikistan 2006 4.613 7.554
## 1748 Afghanistan 2016 4.220 7.697
## 1749 Jordan 2012 5.132 9.261
## 1750 Palestinian Territories 2014 4.722 8.457
## 1751 Congo (Brazzaville) 2012 3.919 8.192
## 1752 Georgia 2016 4.448 9.470
## 1753 Mozambique 2015 4.550 7.141
## 1754 Latvia 2011 4.967 10.029
## 1755 Armenia 2013 4.277 9.277
## 1756 Moldova 2009 5.554 8.984
## 1757 Bangladesh 2016 4.556 8.274
## 1758 Latvia 2012 5.125 10.082
## 1759 Congo (Kinshasa) 2014 4.414 6.937
## 1760 Georgia 2012 4.254 9.332
## 1761 Lebanon 2014 5.233 9.739
## 1762 Morocco 2017 5.312 8.898
## 1763 Serbia 2018 5.936 9.762
## 1764 Angola 2012 4.360 8.992
## 1765 Syria 2010 4.465 8.729
## 1766 Yemen 2013 4.218 8.242
## 1767 Chad 2009 3.639 7.364
## 1768 Turkey 2005 4.719 9.809
## 1769 Romania 2012 5.167 9.965
## 1770 Haiti 2010 3.766 7.384
## 1771 Afghanistan 2015 3.983 7.702
## 1772 Azerbaijan 2012 4.911 9.549
## 1773 Belarus 2016 5.178 9.788
## 1774 Albania 2007 4.634 9.142
## 1775 Chad 2018 4.486 7.363
## 1776 Haiti 2016 3.352 7.477
## 1777 Iran 2018 4.278 NA
## 1778 Lebanon 2016 5.271 9.687
## 1779 Sierra Leone 2018 4.306 7.417
## 1780 Congo (Kinshasa) 2017 4.311 6.966
## 1781 Croatia 2019 5.626 10.258
## 1782 Egypt 2013 3.559 9.239
## 1783 Algeria 2011 5.317 9.297
## 1784 Bosnia and Herzegovina 2012 4.773 9.342
## 1785 Lebanon 2006 4.653 9.568
## 1786 Romania 2009 5.368 9.949
## 1787 Georgia 2015 4.122 9.442
## 1788 Bulgaria 2010 3.912 9.765
## 1789 Burkina Faso 2012 3.955 7.520
## 1790 Chad 2010 3.743 7.457
## 1791 Serbia 2011 4.815 9.607
## 1792 Azerbaijan 2009 4.574 9.534
## 1793 Bahrain 2011 4.824 10.696
## 1794 Bosnia and Herzegovina 2013 5.124 9.382
## 1795 Palestinian Territories 2009 4.470 8.329
## 1796 Serbia 2009 4.380 9.568
## 1797 Armenia 2009 4.178 9.111
## 1798 Egypt 2014 4.885 9.245
## 1799 Liberia 2014 4.571 7.391
## 1800 Nepal 2015 4.812 7.976
## 1801 Romania 2011 5.023 9.940
## 1802 Yemen 2019 4.197 NA
## 1803 Iraq 2010 5.065 9.112
## 1804 Bangladesh 2018 4.499 8.399
## 1805 Belarus 2017 5.553 9.814
## 1806 Sudan 2014 4.139 8.317
## 1807 Egypt 2017 3.929 9.307
## 1808 Gabon 2014 3.918 9.644
## 1809 Montenegro 2013 5.074 9.760
## 1810 Tunisia 2019 4.315 9.283
## 1811 Haiti 2013 4.622 7.464
## 1812 Bangladesh 2019 5.114 8.467
## 1813 Malawi 2019 3.869 6.966
## 1814 Nepal 2018 4.910 8.087
## 1815 Azerbaijan 2011 4.680 9.540
## 1816 Chad 2014 3.460 7.532
## 1817 Nepal 2019 5.449 8.136
## 1818 Vietnam 2016 5.062 8.820
## 1819 Serbia 2016 5.753 9.688
## 1820 Bosnia and Herzegovina 2015 5.117 9.457
## 1821 Bulgaria 2011 3.875 9.795
## 1822 Sierra Leone 2008 2.997 7.215
## 1823 Lithuania 2008 5.554 10.199
## 1824 Afghanistan 2014 3.131 7.718
## 1825 Serbia 2010 4.461 9.579
## 1826 Vietnam 2011 5.767 8.585
## 1827 Bosnia and Herzegovina 2014 5.249 9.411
## 1828 Egypt 2011 4.174 9.240
## 1829 Serbia 2013 5.102 9.638
## 1830 Lebanon 2009 5.206 9.830
## 1831 Azerbaijan 2010 4.219 9.569
## 1832 Chad 2012 4.033 7.476
## 1833 Egypt 2012 4.204 9.240
## 1834 Lebanon 2008 4.595 9.743
## 1835 Lithuania 2009 5.467 10.050
## 1836 Iraq 2008 4.590 9.063
## 1837 Latvia 2009 4.669 9.975
## 1838 Lebanon 2010 5.032 9.878
## 1839 Central African Republic 2011 3.678 7.125
## 1840 Belarus 2012 5.749 9.830
## 1841 Burkina Faso 2008 3.846 7.403
## 1842 Central African Republic 2010 3.568 7.091
## 1843 Iraq 2009 4.775 9.076
## 1844 Armenia 2008 4.652 9.256
## 1845 Azerbaijan 2007 4.568 9.386
## 1846 Belarus 2011 5.225 9.812
## 1847 Sierra Leone 2013 4.514 7.577
## 1848 Tunisia 2012 4.464 9.222
## 1849 Turkmenistan 2017 5.229 9.561
## 1850 Montenegro 2017 5.615 9.885
## 1851 Afghanistan 2008 3.724 7.370
## 1852 Armenia 2012 4.320 9.249
## 1853 Bosnia and Herzegovina 2010 4.669 9.312
## 1854 Egypt 2019 4.328 9.373
## 1855 Lithuania 2018 6.309 10.474
## 1856 Tunisia 2013 5.246 9.240
## 1857 Georgia 2011 4.203 9.263
## 1858 Lebanon 2017 5.154 9.681
## 1859 Serbia 2012 5.155 9.605
## 1860 Sierra Leone 2010 4.134 7.254
## 1861 Sierra Leone 2019 3.447 7.449
## 1862 Ukraine 2010 5.058 9.374
## 1863 Azerbaijan 2006 4.728 9.170
## 1864 Armenia 2010 4.368 9.136
## 1865 Gabon 2013 3.800 9.638
## 1866 Madagascar 2011 4.381 7.336
## 1867 Serbia 2017 5.122 9.713
## 1868 Turkmenistan 2019 5.474 9.651
## 1869 Serbia 2019 6.241 9.808
## 1870 Armenia 2007 4.882 9.181
## 1871 Yemen 2015 2.983 7.858
## 1872 Iraq 2017 4.462 9.303
## 1873 Liberia 2015 2.702 7.365
## 1874 Sierra Leone 2006 3.628 7.136
## 1875 Tunisia 2014 4.764 9.260
## 1876 Yemen 2011 3.746 8.336
## 1877 Georgia 2010 4.102 9.184
## 1878 North Macedonia 2017 5.234 9.650
## 1879 Yemen 2012 4.061 8.236
## 1880 Singapore 2009 6.145 11.149
## 1881 Lebanon 2012 4.573 9.800
## 1882 Lebanon 2013 4.983 9.772
## 1883 Serbia 2014 5.113 9.627
## 1884 Palestinian Territories 2006 4.716 8.213
## 1885 Afghanistan 2017 2.662 7.697
## 1886 Serbia 2015 5.318 9.649
## 1887 Armenia 2006 4.289 9.044
## 1888 North Cyprus 2019 5.467 NA
## 1889 Egypt 2018 4.005 9.338
## 1890 Georgia 2009 3.801 9.116
## 1891 Congo (Kinshasa) 2009 3.984 6.728
## 1892 Iraq 2015 4.493 9.241
## 1893 Iraq 2016 4.413 9.354
## 1894 Iraq 2011 4.725 9.152
## 1895 Singapore 2011 6.561 11.307
## 1896 Turkey 2014 5.580 10.124
## 1897 North Cyprus 2018 5.608 NA
## 1898 Togo 2011 2.936 7.146
## 1899 Armenia 2011 4.260 9.182
## 1900 Lithuania 2010 5.066 10.085
## 1901 Gabon 2012 3.972 9.621
## 1902 Yemen 2016 3.826 7.715
## 1903 Turkey 2016 5.326 10.181
## 1904 Lebanon 2018 5.167 9.656
## 1905 Syria 2012 3.164 8.563
## 1906 Chad 2013 3.508 7.498
## 1907 Yemen 2018 3.058 NA
## 1908 Turkey 2015 5.514 10.166
## 1909 Yemen 2017 3.254 7.578
## 1910 Belarus 2018 5.234 9.846
## 1911 Turkey 2017 5.607 10.238
## 1912 Sierra Leone 2011 4.502 7.292
## 1913 Georgia 2008 4.156 9.144
## 1914 Burundi 2008 3.563 6.719
## 1915 Turkey 2018 5.186 10.251
## 1916 Georgia 2006 3.675 8.993
## 1917 Georgia 2007 3.707 9.117
## 1918 Afghanistan 2018 2.694 7.692
## 1919 Iraq 2012 4.660 9.246
## 1920 Turkey 2019 4.872 10.246
## 1921 Tunisia 2017 4.124 9.269
## 1922 Syria 2013 2.688 8.396
## 1923 Turkey 2020 4.862 10.219
## 1924 Syria 2015 3.462 8.442
## 1925 Togo 2008 2.808 7.052
## 1926 Afghanistan 2019 2.375 7.697
## 1927 Lebanon 2019 4.024 9.597
## 1928 Algeria 2010 5.464 9.287
## 1929 Bahrain 2014 6.165 10.783
## 1930 Bangladesh 2014 4.636 8.164
## 1931 Belarus 2008 5.463 9.677
## 1932 Cambodia 2007 4.156 7.829
## 1933 Djibouti 2010 5.006 7.812
## 1934 Iraq 2013 4.725 9.280
## 1935 Jordan 2018 4.639 9.196
## 1936 Jordan 2019 4.453 9.201
## 1937 Jordan 2020 4.094 9.150
## 1938 Kosovo 2008 5.522 8.981
## 1939 Kuwait 2014 6.180 10.945
## 1940 Maldives 2018 5.198 9.826
## 1941 Morocco 2010 4.383 8.746
## 1942 Oman 2011 6.853 10.382
## 1943 Pakistan 2005 5.225 8.218
## 1944 Qatar 2010 6.850 11.520
## 1945 Qatar 2015 6.375 11.486
## 1946 Tunisia 2009 5.025 9.197
## 1947 United Arab Emirates 2013 6.621 11.001
## 1948 United Arab Emirates 2014 6.540 11.041
## 1949 Vietnam 2017 5.175 8.876
## Social.support Healthy.life.expectancy.at.birth
## 1 0.959 64.980
## 2 0.884 65.720
## 3 0.940 65.300
## 4 0.939 64.860
## 5 0.693 56.600
## 6 0.866 66.600
## 7 0.863 62.540
## 8 0.902 65.500
## 9 0.599 50.100
## 10 0.898 65.500
## 11 0.979 72.760
## 12 0.691 56.300
## 13 0.893 65.160
## 14 0.902 70.100
## 15 0.834 60.840
## 16 0.967 73.000
## 17 0.794 61.060
## 18 0.891 68.700
## 19 0.822 69.600
## 20 0.594 50.000
## 21 0.939 71.840
## 22 0.933 69.100
## 23 0.928 68.300
## 24 0.770 65.760
## 25 0.915 69.700
## 26 0.807 53.920
## 27 0.876 68.500
## 28 0.904 69.600
## 29 0.905 68.200
## 30 0.858 68.300
## 31 0.922 72.360
## 32 0.977 72.320
## 33 0.946 71.200
## 34 0.954 72.200
## 35 0.724 62.400
## 36 0.967 70.140
## 37 0.729 59.100
## 38 0.886 69.700
## 39 0.802 62.300
## 40 0.917 69.000
## 41 0.900 69.760
## 42 0.892 69.900
## 43 0.851 68.500
## 44 0.809 61.500
## 45 0.973 71.500
## 46 0.805 60.600
## 47 0.918 69.880
## 48 0.731 64.400
## 49 0.983 70.820
## 50 0.901 70.900
## 51 0.922 71.100
## 52 0.985 73.000
## 53 0.707 58.300
## 54 NA 71.660
## 55 0.827 67.200
## 56 0.953 68.380
## 57 0.764 66.400
## 58 0.841 64.800
## 59 0.862 69.460
## 60 0.876 71.300
## 61 0.967 72.840
## 62 0.841 69.700
## 63 0.717 63.240
## 64 0.947 70.400
## 65 0.897 68.700
## 66 0.896 68.900
## 67 0.902 68.560
## 68 0.937 69.940
## 69 0.909 71.880
## 70 0.943 72.020
## 71 0.830 63.180
## 72 0.841 65.920
## 73 0.925 71.760
## 74 0.863 63.840
## 75 0.911 65.900
## 76 0.752 58.100
## 77 0.930 72.240
## 78 0.914 65.100
## 79 0.779 60.260
## 80 0.977 71.600
## 81 0.813 61.000
## 82 0.919 67.180
## 83 0.878 62.920
## 84 0.825 60.620
## 85 0.809 62.100
## 86 0.852 68.600
## 87 0.954 72.120
## 88 0.824 66.300
## 89 0.979 69.900
## 90 0.934 73.400
## 91 0.802 62.820
## 92 0.772 66.600
## 93 0.983 73.000
## 94 0.796 61.900
## 95 0.938 71.520
## 96 0.955 71.300
## 97 0.965 71.060
## 98 0.958 72.700
## 99 0.818 66.960
## 100 0.959 71.160
## 101 0.939 72.300
## 102 0.932 65.700
## 103 0.790 54.440
## 104 0.939 71.640
## 105 0.926 68.700
## 106 0.972 69.600
## 107 0.820 66.100
## 108 0.809 66.400
## 109 0.893 NA
## 110 0.926 68.200
## 111 0.880 59.900
## 112 0.886 63.780
## 113 0.831 67.440
## 114 0.774 65.100
## 115 0.893 67.700
## 116 0.947 72.780
## 117 0.946 65.460
## 118 0.933 64.540
## 119 0.774 57.740
## 120 0.882 69.400
## 121 0.892 65.900
## 122 0.932 65.780
## 123 0.902 67.660
## 124 0.918 68.020
## 125 0.948 72.520
## 126 0.788 69.300
## 127 0.862 69.320
## 128 0.889 64.500
## 129 0.929 72.060
## 130 0.906 65.940
## 131 0.820 68.240
## 132 0.967 71.400
## 133 0.944 71.600
## 134 0.957 71.400
## 135 0.905 61.280
## 136 0.705 58.700
## 137 0.937 72.200
## 138 0.936 72.680
## 139 0.901 66.360
## 140 0.801 67.280
## 141 0.856 67.600
## 142 0.823 63.900
## 143 0.789 60.800
## 144 0.902 70.300
## 145 0.878 70.700
## 146 0.734 63.880
## 147 0.859 62.100
## 148 0.797 67.400
## 149 0.838 67.200
## 150 0.960 73.000
## 151 0.829 65.800
## 152 0.980 73.000
## 153 0.868 66.440
## 154 0.952 73.600
## 155 0.950 73.100
## 156 0.889 64.060
## 157 0.870 NA
## 158 0.906 71.500
## 159 0.942 72.480
## 160 0.863 66.600
## 161 0.896 NA
## 162 0.907 66.580
## 163 0.785 67.120
## 164 0.779 65.940
## 165 0.976 72.000
## 166 0.927 67.300
## 167 0.914 66.140
## 168 0.842 67.900
## 169 0.811 64.200
## 170 0.826 64.500
## 171 0.919 63.960
## 172 0.775 60.400
## 173 0.817 NA
## 174 0.926 66.160
## 175 0.916 63.500
## 176 0.964 71.020
## 177 0.795 61.600
## 178 0.939 73.000
## 179 0.954 73.200
## 180 0.951 67.900
## 181 0.831 69.600
## 182 0.901 NA
## 183 0.915 65.400
## 184 0.759 62.000
## 185 0.916 69.820
## 186 0.768 62.460
## 187 0.949 71.380
## 188 0.935 71.460
## 189 0.968 71.400
## 190 0.886 65.580
## 191 0.829 66.440
## 192 0.800 68.000
## 193 0.947 72.900
## 194 0.805 66.500
## 195 0.873 67.200
## 196 0.903 67.400
## 197 0.912 68.540
## 198 0.910 67.840
## 199 0.883 68.400
## 200 0.747 63.560
## 201 0.843 67.000
## 202 0.900 68.800
## 203 0.945 64.500
## 204 0.822 75.680
## 205 0.889 67.480
## 206 0.779 66.620
## 207 0.876 66.500
## 208 0.951 71.200
## 209 0.968 64.200
## 210 0.896 65.820
## 211 0.746 60.800
## 212 0.962 71.300
## 213 0.890 66.800
## 214 0.696 66.700
## 215 0.868 66.160
## 216 0.942 64.800
## 217 0.880 69.800
## 218 0.697 54.700
## 219 0.926 72.100
## 220 0.941 72.400
## 221 0.909 67.400
## 222 0.914 70.500
## 223 0.798 65.000
## 224 0.816 60.400
## 225 0.931 64.740
## 226 0.891 NA
## 227 0.778 68.080
## 228 0.954 71.800
## 229 0.982 73.000
## 230 0.855 66.220
## 231 0.934 71.880
## 232 0.933 72.220
## 233 0.922 68.680
## 234 0.914 68.900
## 235 0.937 70.920
## 236 0.834 63.540
## 237 0.962 71.700
## 238 0.958 72.360
## 239 0.874 67.800
## 240 0.908 66.800
## 241 0.955 72.200
## 242 0.866 61.420
## 243 0.842 67.200
## 244 0.879 72.000
## 245 0.987 72.600
## 246 0.941 72.680
## 247 0.611 49.600
## 248 0.903 68.660
## 249 0.902 68.620
## 250 0.913 64.260
## 251 0.918 72.840
## 252 0.890 69.900
## 253 0.839 66.260
## 254 0.792 61.700
## 255 0.943 72.200
## 256 0.937 72.800
## 257 0.912 69.500
## 258 0.970 71.900
## 259 0.895 NA
## 260 0.883 62.820
## 261 0.864 50.840
## 262 0.935 71.080
## 263 0.904 65.920
## 264 0.964 71.300
## 265 0.956 71.280
## 266 0.935 70.400
## 267 0.774 66.800
## 268 0.839 65.600
## 269 0.959 71.320
## 270 0.900 64.280
## 271 0.795 59.800
## 272 0.885 NA
## 273 0.889 64.480
## 274 0.893 65.700
## 275 0.806 64.600
## 276 0.833 67.200
## 277 0.878 71.440
## 278 0.960 71.500
## 279 0.849 68.200
## 280 0.834 61.760
## 281 0.807 54.960
## 282 0.916 72.140
## 283 NA 68.220
## 284 0.862 66.940
## 285 0.931 70.800
## 286 0.954 69.920
## 287 0.827 64.800
## 288 0.931 65.740
## 289 0.902 73.800
## 290 0.966 73.200
## 291 0.863 NA
## 292 0.965 68.060
## 293 0.921 68.400
## 294 0.896 69.000
## 295 0.965 71.720
## 296 0.947 71.880
## 297 0.742 68.700
## 298 0.839 66.800
## 299 0.791 65.200
## 300 0.718 44.640
## 301 0.934 72.700
## 302 0.917 68.420
## 303 0.938 66.820
## 304 0.924 73.200
## 305 0.871 67.700
## 306 0.910 66.080
## 307 0.771 59.840
## 308 0.876 66.380
## 309 0.842 66.200
## 310 0.921 65.100
## 311 0.945 65.640
## 312 0.923 73.600
## 313 0.952 72.100
## 314 0.789 67.000
## 315 0.925 76.200
## 316 0.779 50.353
## 317 0.892 67.060
## 318 0.936 70.760
## 319 0.948 72.240
## 320 0.942 73.300
## 321 0.956 73.400
## 322 0.814 66.100
## 323 0.931 72.600
## 324 0.959 73.060
## 325 0.945 71.680
## 326 0.925 73.800
## 327 0.873 68.000
## 328 0.660 59.500
## 329 0.792 65.440
## 330 0.803 67.500
## 331 0.788 67.920
## 332 0.772 69.000
## 333 0.958 72.400
## 334 0.889 65.200
## 335 0.821 61.700
## 336 0.837 40.808
## 337 0.951 71.540
## 338 0.825 NA
## 339 0.900 68.800
## 340 0.927 71.040
## 341 0.878 64.020
## 342 0.606 59.260
## 343 0.787 67.760
## 344 0.790 66.380
## 345 0.875 56.100
## 346 0.903 66.200
## 347 0.937 68.000
## 348 0.809 68.400
## 349 0.891 57.300
## 350 0.903 71.760
## 351 0.928 72.500
## 352 0.866 61.080
## 353 0.805 55.500
## 354 0.922 68.100
## 355 0.880 NA
## 356 0.832 64.820
## 357 0.954 70.740
## 358 0.955 65.400
## 359 0.883 63.300
## 360 0.910 65.280
## 361 0.947 73.000
## 362 0.830 60.740
## 363 0.944 70.800
## 364 0.929 72.300
## 365 0.906 64.500
## 366 0.811 67.060
## 367 0.748 67.240
## 368 0.792 66.160
## 369 0.955 73.000
## 370 0.858 62.080
## 371 0.967 72.300
## 372 0.766 65.720
## 373 0.604 52.440
## 374 0.879 66.320
## 375 0.939 73.400
## 376 0.677 54.000
## 377 0.895 63.620
## 378 0.815 67.400
## 379 0.912 72.400
## 380 0.877 67.000
## 381 0.914 71.400
## 382 0.855 69.180
## 383 0.888 70.100
## 384 0.914 72.060
## 385 0.803 65.280
## 386 0.921 71.980
## 387 0.904 68.300
## 388 0.917 68.200
## 389 0.876 68.500
## 390 0.757 64.200
## 391 0.955 71.800
## 392 0.765 57.740
## 393 0.914 72.500
## 394 0.938 72.260
## 395 0.882 68.680
## 396 0.894 64.140
## 397 0.925 68.640
## 398 0.904 68.600
## 399 0.922 70.260
## 400 0.923 70.440
## 401 0.729 60.400
## 402 0.746 58.300
## 403 0.839 66.380
## 404 0.813 61.400
## 405 0.704 59.980
## 406 0.841 56.500
## 407 0.945 72.400
## 408 0.808 68.800
## 409 0.878 73.000
## 410 0.938 72.300
## 411 0.828 49.680
## 412 0.818 47.120
## 413 0.799 66.060
## 414 0.933 66.380
## 415 0.904 65.860
## 416 0.848 60.200
## 417 0.779 68.900
## 418 0.866 64.480
## 419 0.869 64.620
## 420 0.907 68.600
## 421 0.821 62.360
## 422 0.857 68.900
## 423 0.869 70.000
## 424 0.747 66.880
## 425 0.794 68.400
## 426 0.872 64.020
## 427 0.958 72.100
## 428 0.952 71.700
## 429 0.845 68.100
## 430 0.938 73.200
## 431 0.832 68.840
## 432 0.894 65.340
## 433 0.563 53.460
## 434 0.785 65.300
## 435 0.913 66.700
## 436 0.873 69.100
## 437 0.916 64.760
## 438 0.958 69.000
## 439 0.944 72.400
## 440 0.836 50.700
## 441 0.893 68.000
## 442 0.921 69.200
## 443 0.897 68.500
## 444 0.754 55.000
## 445 0.885 71.400
## 446 0.936 68.400
## 447 0.863 65.500
## 448 0.853 66.900
## 449 0.741 49.700
## 450 0.798 60.200
## 451 0.854 61.600
## 452 0.891 68.140
## 453 0.952 64.000
## 454 0.836 68.660
## 455 0.819 69.040
## 456 0.934 68.800
## 457 0.685 55.000
## 458 0.926 71.060
## 459 0.793 58.400
## 460 0.781 62.100
## 461 0.923 71.620
## 462 0.827 69.600
## 463 0.880 65.460
## 464 0.824 65.260
## 465 0.902 64.700
## 466 0.875 72.420
## 467 0.757 57.380
## 468 0.894 65.940
## 469 0.866 75.900
## 470 0.647 57.900
## 471 0.782 67.220
## 472 0.913 48.020
## 473 0.922 65.580
## 474 0.883 69.300
## 475 0.848 56.900
## 476 0.910 65.220
## 477 0.908 72.800
## 478 0.796 59.600
## 479 0.812 66.300
## 480 0.897 76.500
## 481 0.716 58.880
## 482 0.765 61.200
## 483 0.953 72.000
## 484 0.939 71.440
## 485 0.846 61.200
## 486 0.928 72.100
## 487 0.944 71.280
## 488 0.891 64.680
## 489 0.881 54.340
## 490 0.949 74.400
## 491 0.887 61.760
## 492 0.936 71.700
## 493 0.909 71.160
## 494 0.831 60.500
## 495 0.879 64.240
## 496 0.954 71.700
## 497 0.803 65.500
## 498 0.960 72.500
## 499 0.751 48.400
## 500 0.827 66.600
## 501 0.935 69.900
## 502 0.818 57.700
## 503 0.931 74.000
## 504 0.928 70.880
## 505 0.917 71.480
## 506 0.797 68.300
## 507 0.933 68.600
## 508 0.823 67.000
## 509 0.836 66.900
## 510 0.882 67.100
## 511 0.939 70.900
## 512 0.947 70.980
## 513 0.924 74.340
## 514 0.917 50.500
## 515 0.830 69.140
## 516 0.910 71.620
## 517 0.878 64.460
## 518 0.882 64.900
## 519 0.824 45.740
## 520 0.741 55.460
## 521 0.854 67.500
## 522 0.616 61.100
## 523 0.890 65.700
## 524 0.862 67.300
## 525 0.924 67.860
## 526 0.651 59.640
## 527 0.935 70.760
## 528 0.936 71.560
## 529 0.930 74.100
## 530 0.942 73.000
## 531 0.800 65.720
## 532 0.952 72.700
## 533 0.848 69.700
## 534 0.805 64.200
## 535 0.804 69.100
## 536 0.943 72.200
## 537 0.824 66.680
## 538 0.759 67.040
## 539 0.816 65.940
## 540 0.944 71.540
## 541 0.808 69.900
## 542 0.828 65.020
## 543 0.912 72.600
## 544 0.830 67.800
## 545 0.688 60.000
## 546 0.898 65.540
## 547 0.909 64.900
## 548 0.715 59.500
## 549 0.944 71.000
## 550 0.913 68.600
## 551 0.865 68.280
## 552 0.950 71.820
## 553 0.863 68.100
## 554 0.860 63.800
## 555 0.964 71.800
## 556 0.923 70.620
## 557 0.951 65.200
## 558 0.936 67.620
## 559 0.903 76.800
## 560 0.851 67.100
## 561 0.937 68.100
## 562 0.924 63.400
## 563 0.922 71.800
## 564 0.829 62.700
## 565 0.798 67.420
## 566 0.822 72.400
## 567 0.896 73.200
## 568 0.875 55.700
## 569 0.933 63.600
## 570 0.975 70.400
## 571 0.878 63.520
## 572 0.938 71.220
## 573 0.888 73.680
## 574 0.836 65.800
## 575 0.870 56.100
## 576 0.819 73.500
## 577 0.884 66.100
## 578 0.952 71.360
## 579 0.968 71.900
## 580 0.767 66.860
## 581 0.597 64.400
## 582 0.944 72.500
## 583 0.857 64.820
## 584 0.801 60.000
## 585 0.912 67.780
## 586 0.839 58.800
## 587 0.912 67.440
## 588 0.796 63.000
## 589 0.693 60.020
## 590 0.739 54.100
## 591 0.867 67.600
## 592 0.928 72.300
## 593 0.781 61.680
## 594 0.962 71.900
## 595 0.763 55.140
## 596 0.824 46.200
## 597 0.970 70.460
## 598 0.785 60.000
## 599 0.921 72.400
## 600 0.835 65.160
## 601 0.735 44.120
## 602 0.845 62.000
## 603 0.898 55.300
## 604 0.924 59.440
## 605 0.865 48.120
## 606 0.950 73.300
## 607 0.899 71.960
## 608 0.920 72.200
## 609 0.887 73.560
## 610 0.756 66.480
## 611 0.819 59.600
## 612 0.916 72.920
## 613 0.877 64.140
## 614 0.928 73.500
## 615 0.822 NA
## 616 0.914 63.500
## 617 0.857 54.500
## 618 0.797 66.840
## 619 0.759 51.270
## 620 0.837 51.400
## 621 0.944 71.480
## 622 0.905 74.160
## 623 0.774 59.000
## 624 0.924 67.940
## 625 0.917 68.500
## 626 0.875 67.580
## 627 0.963 70.200
## 628 0.917 73.980
## 629 0.961 71.500
## 630 0.937 71.540
## 631 0.954 71.900
## 632 0.903 63.200
## 633 0.924 72.600
## 634 0.880 72.620
## 635 0.871 65.120
## 636 0.818 66.400
## 637 0.840 66.000
## 638 0.849 66.700
## 639 0.943 72.500
## 640 0.964 73.300
## 641 0.697 58.500
## 642 0.951 70.840
## 643 0.633 53.660
## 644 0.675 60.120
## 645 0.909 66.400
## 646 0.945 68.300
## 647 0.950 73.800
## 648 0.837 54.460
## 649 0.951 70.080
## 650 0.938 70.640
## 651 0.885 73.400
## 652 0.694 55.300
## 653 0.846 61.900
## 654 0.810 49.260
## 655 0.839 53.380
## 656 0.827 52.860
## 657 0.789 54.180
## 658 0.892 63.860
## 659 0.948 72.340
## 660 0.796 59.500
## 661 0.653 56.980
## 662 0.612 53.500
## 663 0.711 57.020
## 664 0.943 73.900
## 665 0.863 66.240
## 666 0.692 51.700
## 667 0.808 75.460
## 668 0.830 66.020
## 669 0.885 66.280
## 670 0.937 74.200
## 671 0.925 73.600
## 672 0.962 70.620
## 673 0.941 71.120
## 674 0.940 71.300
## 675 0.913 67.100
## 676 0.851 61.800
## 677 0.760 56.100
## 678 0.829 NA
## 679 0.946 74.700
## 680 0.884 67.140
## 681 0.849 57.260
## 682 0.923 74.700
## 683 0.856 66.440
## 684 0.815 68.720
## 685 0.848 62.960
## 686 0.921 73.800
## 687 0.857 63.200
## 688 0.761 45.920
## 689 0.893 67.000
## 690 0.807 61.000
## 691 0.877 64.400
## 692 0.905 72.600
## 693 0.838 67.340
## 694 0.936 72.800
## 695 0.929 71.600
## 696 0.768 67.600
## 697 0.926 71.300
## 698 0.825 57.180
## 699 0.718 49.020
## 700 0.883 53.040
## 701 0.897 69.200
## 702 0.904 65.940
## 703 0.612 57.020
## 704 0.868 66.300
## 705 0.954 69.500
## 706 0.797 62.240
## 707 0.912 66.000
## 708 0.844 72.540
## 709 0.776 73.900
## 710 0.918 72.020
## 711 0.898 64.100
## 712 0.777 65.820
## 713 0.748 58.680
## 714 0.858 51.460
## 715 0.957 72.060
## 716 0.912 66.400
## 717 0.881 66.420
## 718 0.878 69.300
## 719 0.931 73.600
## 720 0.835 NA
## 721 0.750 54.820
## 722 0.517 60.500
## 723 0.675 57.500
## 724 0.817 61.340
## 725 0.899 66.600
## 726 0.794 65.500
## 727 0.857 67.020
## 728 0.907 52.420
## 729 0.824 66.500
## 730 0.888 66.700
## 731 0.895 65.200
## 732 0.905 72.800
## 733 0.685 54.860
## 734 0.900 74.800
## 735 0.846 56.060
## 736 0.733 47.780
## 737 0.913 66.700
## 738 0.953 70.100
## 739 0.750 58.060
## 740 0.940 73.600
## 741 0.872 61.600
## 742 0.803 62.020
## 743 0.806 74.100
## 744 0.819 64.780
## 745 0.707 60.100
## 746 0.819 67.020
## 747 0.937 72.100
## 748 0.887 66.500
## 749 0.941 72.600
## 750 0.796 48.760
## 751 0.756 65.580
## 752 0.929 72.700
## 753 0.804 68.780
## 754 0.954 70.080
## 755 0.914 64.000
## 756 0.934 72.600
## 757 0.764 66.660
## 758 0.810 55.420
## 759 0.864 65.780
## 760 0.926 72.400
## 761 0.931 69.300
## 762 0.757 62.220
## 763 0.890 65.020
## 764 0.907 65.800
## 765 0.767 72.680
## 766 0.690 53.260
## 767 0.937 72.000
## 768 0.883 63.800
## 769 0.853 55.780
## 770 0.763 59.300
## 771 0.677 46.360
## 772 0.708 49.600
## 773 0.937 72.600
## 774 0.798 67.200
## 775 0.890 66.900
## 776 0.922 68.900
## 777 0.885 52.040
## 778 0.805 NA
## 779 0.912 73.000
## 780 0.617 60.900
## 781 0.878 67.500
## 782 0.862 65.500
## 783 0.626 58.700
## 784 0.666 59.100
## 785 0.665 59.900
## 786 0.602 56.560
## 787 0.929 72.620
## 788 0.827 67.500
## 789 0.784 63.900
## 790 0.911 68.800
## 791 0.948 71.600
## 792 0.886 72.500
## 793 0.676 60.700
## 794 0.904 73.600
## 795 0.879 67.720
## 796 0.848 68.100
## 797 0.930 72.000
## 798 0.882 66.400
## 799 0.826 73.700
## 800 0.902 72.600
## 801 0.866 64.960
## 802 0.933 69.200
## 803 0.939 70.240
## 804 0.843 NA
## 805 0.763 55.160
## 806 0.788 NA
## 807 0.937 73.140
## 808 0.790 64.700
## 809 0.963 63.800
## 810 0.906 72.700
## 811 0.621 57.200
## 812 0.744 72.820
## 813 0.919 62.680
## 814 0.655 57.480
## 815 0.910 66.100
## 816 0.783 48.700
## 817 0.857 46.700
## 818 0.770 73.100
## 819 0.761 57.200
## 820 0.816 56.800
## 821 0.812 72.160
## 822 0.935 71.840
## 823 0.769 47.300
## 824 0.795 58.700
## 825 0.744 59.200
## 826 0.903 65.920
## 827 0.862 65.800
## 828 0.761 67.400
## 829 0.818 58.200
## 830 0.655 49.400
## 831 0.722 45.680
## 832 0.962 72.100
## 833 0.724 54.480
## 834 0.630 54.400
## 835 0.922 71.840
## 836 0.739 50.500
## 837 0.827 65.000
## 838 0.774 50.500
## 839 0.624 47.180
## 840 0.923 71.400
## 841 0.931 71.140
## 842 0.947 68.000
## 843 0.709 47.100
## 844 0.878 75.100
## 845 0.706 58.900
## 846 0.638 55.800
## 847 0.827 63.600
## 848 0.786 73.300
## 849 0.900 74.520
## 850 0.887 75.200
## 851 0.741 51.200
## 852 0.863 69.300
## 853 0.864 70.800
## 854 0.921 64.220
## 855 0.843 49.840
## 856 0.835 71.800
## 857 0.882 74.900
## 858 0.892 61.240
## 859 0.780 45.160
## 860 0.760 53.380
## 861 0.834 59.000
## 862 0.860 53.680
## 863 0.619 56.900
## 864 0.901 69.800
## 865 0.894 65.500
## 866 0.928 73.200
## 867 0.864 56.500
## 868 0.640 56.400
## 869 0.906 71.600
## 870 0.808 70.900
## 871 0.893 72.460
## 872 0.792 NA
## 873 0.819 54.220
## 874 0.800 64.700
## 875 0.803 54.520
## 876 0.768 54.400
## 877 0.770 72.960
## 878 0.892 71.900
## 879 0.874 66.580
## 880 0.955 67.300
## 881 0.944 73.020
## 882 0.632 57.500
## 883 0.900 67.440
## 884 0.831 66.080
## 885 0.923 71.720
## 886 0.833 63.800
## 887 0.734 59.600
## 888 0.489 61.700
## 889 0.905 62.760
## 890 0.806 45.420
## 891 0.848 59.700
## 892 0.958 74.000
## 893 0.877 67.200
## 894 0.943 68.400
## 895 0.790 48.700
## 896 0.785 56.400
## 897 0.818 67.200
## 898 0.718 49.880
## 899 0.786 NA
## 900 0.788 48.640
## 901 0.761 52.320
## 902 0.806 66.400
## 903 0.846 NA
## 904 0.865 66.460
## 905 0.673 57.060
## 906 0.893 68.100
## 907 0.811 66.900
## 908 0.911 53.700
## 909 0.884 72.200
## 910 0.674 61.300
## 911 0.682 53.660
## 912 0.850 63.240
## 913 0.947 74.200
## 914 0.926 70.480
## 915 0.798 46.600
## 916 0.670 53.940
## 917 0.805 48.900
## 918 0.912 66.600
## 919 0.956 73.500
## 920 0.832 49.860
## 921 0.938 73.440
## 922 0.582 53.000
## 923 0.789 55.260
## 924 0.767 54.300
## 925 0.795 58.900
## 926 0.931 62.800
## 927 0.771 48.640
## 928 0.868 63.500
## 929 0.866 71.200
## 930 0.880 64.400
## 931 0.721 54.700
## 932 0.903 61.440
## 933 0.782 48.640
## 934 0.719 57.500
## 935 0.600 46.260
## 936 0.874 66.400
## 937 0.877 49.880
## 938 0.938 68.200
## 939 0.792 NA
## 940 0.830 64.600
## 941 0.687 58.000
## 942 0.896 66.300
## 943 0.780 51.580
## 944 0.467 59.860
## 945 0.841 51.540
## 946 0.898 62.780
## 947 0.733 49.300
## 948 0.905 67.460
## 949 0.878 69.700
## 950 0.856 71.000
## 951 0.856 57.940
## 952 0.863 65.100
## 953 0.766 52.380
## 954 0.820 49.480
## 955 0.802 NA
## 956 0.820 65.400
## 957 0.950 72.900
## 958 0.919 67.000
## 959 0.918 68.000
## 960 0.812 NA
## 961 0.823 66.100
## 962 0.701 59.500
## 963 0.925 77.100
## 964 0.965 69.760
## 965 0.851 62.360
## 966 0.805 66.900
## 967 0.937 72.200
## 968 0.932 72.200
## 969 0.828 56.200
## 970 0.678 59.300
## 971 0.845 74.200
## 972 0.888 68.520
## 973 0.793 55.300
## 974 0.840 NA
## 975 0.795 62.280
## 976 0.926 64.440
## 977 0.893 64.600
## 978 0.876 62.300
## 979 0.759 66.980
## 980 0.622 53.220
## 981 0.874 57.200
## 982 0.812 48.500
## 983 0.813 52.300
## 984 0.853 67.700
## 985 0.905 66.200
## 986 0.796 46.660
## 987 0.912 72.260
## 988 0.898 72.960
## 989 0.948 73.380
## 990 0.759 56.200
## 991 0.826 NA
## 992 0.916 71.380
## 993 0.734 50.100
## 994 0.922 66.300
## 995 0.867 64.800
## 996 0.705 57.000
## 997 0.822 41.580
## 998 0.736 53.800
## 999 0.582 61.540
## 1000 0.929 70.300
## 1001 0.893 64.900
## 1002 0.626 57.000
## 1003 0.928 67.400
## 1004 0.787 66.300
## 1005 0.718 54.060
## 1006 0.739 59.600
## 1007 0.943 68.000
## 1008 0.729 62.720
## 1009 0.894 62.320
## 1010 0.684 68.700
## 1011 0.643 58.000
## 1012 0.613 51.420
## 1013 0.655 65.300
## 1014 0.774 59.600
## 1015 0.755 52.200
## 1016 0.904 60.200
## 1017 0.799 50.960
## 1018 0.665 53.900
## 1019 0.621 58.600
## 1020 0.702 58.400
## 1021 0.521 52.240
## 1022 0.857 NA
## 1023 0.859 71.760
## 1024 0.876 72.600
## 1025 0.896 63.900
## 1026 0.823 64.040
## 1027 0.775 55.600
## 1028 0.827 62.300
## 1029 0.830 50.200
## 1030 0.871 NA
## 1031 0.905 69.840
## 1032 0.838 65.860
## 1033 0.845 47.460
## 1034 0.859 66.400
## 1035 0.831 56.620
## 1036 0.922 72.200
## 1037 0.946 62.500
## 1038 0.916 67.200
## 1039 0.877 66.080
## 1040 0.824 62.300
## 1041 0.726 47.120
## 1042 0.909 50.220
## 1043 0.862 71.600
## 1044 0.818 65.200
## 1045 0.960 61.000
## 1046 0.634 53.300
## 1047 0.617 48.300
## 1048 0.824 NA
## 1049 0.868 62.300
## 1050 0.512 54.480
## 1051 0.669 56.800
## 1052 0.886 75.000
## 1053 0.886 70.320
## 1054 0.637 57.440
## 1055 0.924 67.760
## 1056 0.747 54.500
## 1057 0.740 55.300
## 1058 0.718 55.300
## 1059 0.717 56.800
## 1060 0.577 52.540
## 1061 0.901 67.480
## 1062 0.928 63.400
## 1063 0.777 58.300
## 1064 0.711 54.040
## 1065 0.791 NA
## 1066 0.803 72.000
## 1067 0.598 50.220
## 1068 0.931 65.000
## 1069 0.610 58.900
## 1070 0.792 67.140
## 1071 0.798 44.260
## 1072 0.818 49.920
## 1073 0.867 71.400
## 1074 0.921 73.900
## 1075 0.741 59.400
## 1076 0.800 56.500
## 1077 0.779 63.300
## 1078 0.856 55.240
## 1079 0.909 72.580
## 1080 0.661 48.900
## 1081 0.909 67.520
## 1082 0.751 62.560
## 1083 0.605 57.400
## 1084 0.864 72.700
## 1085 0.823 62.300
## 1086 0.908 71.600
## 1087 0.875 65.340
## 1088 0.842 67.500
## 1089 0.811 71.100
## 1090 0.651 55.620
## 1091 0.927 71.120
## 1092 0.868 71.440
## 1093 0.920 63.500
## 1094 0.759 NA
## 1095 0.929 73.260
## 1096 0.832 71.740
## 1097 0.614 59.300
## 1098 0.937 72.080
## 1099 0.905 60.720
## 1100 0.708 NA
## 1101 0.842 66.900
## 1102 0.855 62.660
## 1103 0.875 64.100
## 1104 0.909 60.760
## 1105 0.714 65.700
## 1106 0.947 61.900
## 1107 0.809 66.600
## 1108 0.727 61.080
## 1109 0.638 56.500
## 1110 0.763 60.200
## 1111 0.613 50.700
## 1112 0.937 64.600
## 1113 0.805 56.100
## 1114 0.831 66.800
## 1115 0.837 70.500
## 1116 0.909 73.000
## 1117 0.904 60.200
## 1118 0.721 NA
## 1119 0.853 66.500
## 1120 0.798 57.300
## 1121 0.948 60.500
## 1122 0.832 67.900
## 1123 0.706 53.060
## 1124 0.683 54.400
## 1125 0.676 55.240
## 1126 0.856 61.940
## 1127 0.910 64.700
## 1128 0.767 56.300
## 1129 0.866 52.900
## 1130 0.687 56.000
## 1131 0.830 66.200
## 1132 0.673 56.640
## 1133 0.917 67.100
## 1134 0.827 70.500
## 1135 0.691 53.800
## 1136 0.422 50.680
## 1137 0.687 71.680
## 1138 0.919 60.800
## 1139 0.844 63.200
## 1140 0.639 67.800
## 1141 0.883 46.820
## 1142 0.845 66.300
## 1143 0.932 62.680
## 1144 0.885 65.200
## 1145 0.902 66.100
## 1146 0.675 52.200
## 1147 0.707 55.720
## 1148 0.566 65.400
## 1149 0.930 72.200
## 1150 0.676 64.100
## 1151 0.688 45.720
## 1152 0.768 57.500
## 1153 0.730 52.780
## 1154 0.935 75.000
## 1155 0.740 58.500
## 1156 0.626 67.520
## 1157 0.877 66.300
## 1158 0.606 61.120
## 1159 0.655 55.500
## 1160 0.927 73.200
## 1161 0.740 55.700
## 1162 0.787 66.500
## 1163 0.744 54.800
## 1164 0.779 72.800
## 1165 0.834 NA
## 1166 0.840 65.600
## 1167 0.966 65.800
## 1168 0.905 72.000
## 1169 0.783 73.900
## 1170 0.738 59.880
## 1171 0.841 63.980
## 1172 0.479 55.000
## 1173 0.746 57.600
## 1174 0.607 59.700
## 1175 0.621 49.500
## 1176 0.747 47.160
## 1177 0.713 52.000
## 1178 0.888 65.860
## 1179 0.686 69.000
## 1180 0.760 49.500
## 1181 0.891 61.520
## 1182 0.823 49.120
## 1183 0.821 53.680
## 1184 0.917 67.740
## 1185 0.553 58.300
## 1186 0.919 72.200
## 1187 0.881 62.260
## 1188 0.823 57.480
## 1189 0.710 69.300
## 1190 0.882 72.400
## 1191 0.928 71.900
## 1192 0.893 59.700
## 1193 0.887 72.400
## 1194 0.924 63.100
## 1195 0.949 71.400
## 1196 0.832 53.780
## 1197 0.878 68.660
## 1198 0.753 51.480
## 1199 0.894 66.580
## 1200 0.559 54.620
## 1201 0.954 66.000
## 1202 0.882 51.220
## 1203 0.542 50.440
## 1204 0.882 68.900
## 1205 0.701 62.880
## 1206 0.941 67.600
## 1207 0.797 72.180
## 1208 0.811 73.000
## 1209 0.878 52.860
## 1210 0.638 68.100
## 1211 0.930 64.600
## 1212 0.839 59.200
## 1213 0.924 62.100
## 1214 0.683 52.500
## 1215 0.859 56.020
## 1216 0.684 56.560
## 1217 0.916 73.100
## 1218 0.679 50.100
## 1219 0.889 61.760
## 1220 0.836 63.520
## 1221 0.909 64.300
## 1222 0.756 54.740
## 1223 0.629 54.360
## 1224 0.845 56.800
## 1225 0.779 59.200
## 1226 0.728 52.340
## 1227 0.917 69.200
## 1228 0.528 60.280
## 1229 0.869 72.880
## 1230 0.890 74.000
## 1231 0.554 44.880
## 1232 0.638 68.400
## 1233 0.823 59.500
## 1234 0.766 64.220
## 1235 0.872 58.200
## 1236 0.855 54.000
## 1237 0.896 49.540
## 1238 0.659 55.200
## 1239 0.647 56.400
## 1240 0.891 72.600
## 1241 0.569 56.140
## 1242 0.685 55.300
## 1243 0.754 54.900
## 1244 0.722 55.020
## 1245 0.579 51.100
## 1246 0.485 53.400
## 1247 0.896 65.320
## 1248 0.794 72.400
## 1249 0.900 66.800
## 1250 0.920 66.800
## 1251 0.686 59.820
## 1252 0.903 72.520
## 1253 0.542 56.640
## 1254 0.570 56.820
## 1255 0.805 66.180
## 1256 0.832 NA
## 1257 0.901 65.400
## 1258 0.704 47.700
## 1259 0.775 71.920
## 1260 0.948 67.000
## 1261 0.910 73.300
## 1262 0.802 57.000
## 1263 0.949 74.700
## 1264 0.659 51.100
## 1265 0.901 53.780
## 1266 0.816 71.400
## 1267 0.749 65.500
## 1268 0.920 73.400
## 1269 0.606 65.000
## 1270 0.798 73.600
## 1271 0.828 42.860
## 1272 0.740 58.500
## 1273 0.816 65.900
## 1274 0.727 56.100
## 1275 0.953 68.500
## 1276 0.942 71.960
## 1277 0.723 52.500
## 1278 0.442 54.700
## 1279 0.664 64.620
## 1280 0.901 70.200
## 1281 0.910 74.400
## 1282 0.722 53.900
## 1283 0.913 72.840
## 1284 0.638 60.100
## 1285 0.866 71.800
## 1286 0.768 58.200
## 1287 0.565 51.820
## 1288 0.896 65.600
## 1289 0.926 67.280
## 1290 0.925 69.600
## 1291 0.809 71.660
## 1292 0.810 63.040
## 1293 0.770 69.600
## 1294 0.910 64.860
## 1295 0.848 NA
## 1296 0.844 59.980
## 1297 0.833 60.260
## 1298 0.373 55.400
## 1299 0.884 63.160
## 1300 0.917 66.200
## 1301 0.942 62.300
## 1302 0.753 66.080
## 1303 0.906 61.700
## 1304 0.738 72.440
## 1305 0.942 73.800
## 1306 0.906 65.920
## 1307 0.881 65.640
## 1308 0.941 72.080
## 1309 0.936 68.000
## 1310 0.931 69.400
## 1311 0.795 64.400
## 1312 0.771 47.420
## 1313 0.646 50.300
## 1314 0.909 66.960
## 1315 0.845 66.240
## 1316 0.861 58.700
## 1317 0.571 56.200
## 1318 0.775 70.200
## 1319 0.792 63.320
## 1320 0.885 61.100
## 1321 0.607 47.880
## 1322 0.696 50.960
## 1323 0.768 72.700
## 1324 0.793 71.300
## 1325 0.913 73.600
## 1326 0.935 61.100
## 1327 0.900 72.200
## 1328 0.733 66.400
## 1329 0.553 57.700
## 1330 0.561 60.500
## 1331 0.678 53.200
## 1332 0.741 57.100
## 1333 0.627 57.700
## 1334 0.875 72.800
## 1335 0.830 50.400
## 1336 0.904 72.400
## 1337 0.504 54.300
## 1338 0.970 68.440
## 1339 0.889 67.220
## 1340 0.711 47.400
## 1341 0.864 52.500
## 1342 0.625 58.500
## 1343 0.572 65.100
## 1344 0.899 64.460
## 1345 0.887 65.100
## 1346 0.880 64.400
## 1347 0.739 64.880
## 1348 0.899 68.400
## 1349 0.708 61.400
## 1350 0.808 NA
## 1351 0.736 64.480
## 1352 0.941 71.100
## 1353 0.857 63.500
## 1354 0.887 65.800
## 1355 0.836 67.800
## 1356 0.908 66.200
## 1357 0.602 55.800
## 1358 0.918 64.700
## 1359 0.787 57.700
## 1360 0.486 53.040
## 1361 0.754 70.800
## 1362 0.759 62.400
## 1363 0.897 63.100
## 1364 0.807 65.700
## 1365 0.677 52.700
## 1366 0.744 59.940
## 1367 0.894 65.760
## 1368 0.834 65.380
## 1369 0.798 64.811
## 1370 0.838 64.000
## 1371 0.849 67.300
## 1372 0.808 67.200
## 1373 0.326 49.660
## 1374 0.934 68.100
## 1375 0.785 59.700
## 1376 0.820 66.400
## 1377 0.919 68.900
## 1378 0.813 48.440
## 1379 0.833 66.200
## 1380 0.780 58.700
## 1381 0.831 NA
## 1382 0.917 72.240
## 1383 0.738 54.200
## 1384 0.778 65.860
## 1385 0.808 74.200
## 1386 0.852 49.420
## 1387 0.924 66.800
## 1388 0.855 63.880
## 1389 0.871 65.225
## 1390 0.522 55.800
## 1391 0.964 60.040
## 1392 0.554 65.900
## 1393 0.663 47.580
## 1394 0.861 67.640
## 1395 0.880 72.440
## 1396 0.779 56.700
## 1397 0.793 65.053
## 1398 0.917 67.040
## 1399 0.706 NA
## 1400 0.643 54.500
## 1401 0.712 56.900
## 1402 0.918 62.700
## 1403 0.911 63.500
## 1404 0.929 61.400
## 1405 0.820 60.640
## 1406 0.514 59.440
## 1407 0.601 62.800
## 1408 0.717 46.560
## 1409 0.946 73.500
## 1410 0.932 69.800
## 1411 0.795 65.120
## 1412 0.759 67.240
## 1413 0.770 50.780
## 1414 0.807 59.200
## 1415 0.868 71.500
## 1416 0.748 45.500
## 1417 0.883 64.900
## 1418 0.873 68.100
## 1419 0.494 55.500
## 1420 0.695 51.900
## 1421 0.748 59.000
## 1422 0.838 73.800
## 1423 0.809 65.700
## 1424 0.843 44.140
## 1425 0.745 51.320
## 1426 0.720 54.300
## 1427 0.549 60.700
## 1428 0.711 53.500
## 1429 0.638 50.880
## 1430 0.511 58.000
## 1431 0.890 72.900
## 1432 0.740 59.800
## 1433 0.759 66.680
## 1434 0.886 66.100
## 1435 0.661 47.700
## 1436 0.815 66.600
## 1437 0.510 56.420
## 1438 0.822 62.250
## 1439 0.943 61.400
## 1440 0.837 61.300
## 1441 0.818 65.140
## 1442 0.477 51.980
## 1443 0.756 58.200
## 1444 0.718 62.760
## 1445 0.934 70.500
## 1446 0.698 66.600
## 1447 0.567 36.860
## 1448 0.833 NA
## 1449 0.611 46.000
## 1450 0.903 74.100
## 1451 0.633 63.140
## 1452 0.829 66.000
## 1453 0.778 49.900
## 1454 0.792 60.540
## 1455 0.895 66.500
## 1456 0.816 66.800
## 1457 0.879 44.800
## 1458 0.756 46.200
## 1459 0.885 59.260
## 1460 0.807 73.300
## 1461 0.926 66.400
## 1462 0.776 68.100
## 1463 0.869 NA
## 1464 0.852 60.120
## 1465 0.484 52.560
## 1466 0.637 54.580
## 1467 0.959 73.700
## 1468 0.930 63.140
## 1469 0.837 63.600
## 1470 0.692 64.640
## 1471 0.766 65.145
## 1472 0.908 70.000
## 1473 0.770 64.120
## 1474 0.530 61.960
## 1475 0.880 64.620
## 1476 0.564 55.100
## 1477 0.908 65.300
## 1478 0.812 60.580
## 1479 0.790 56.000
## 1480 0.539 51.600
## 1481 0.743 49.100
## 1482 0.644 64.860
## 1483 0.744 50.340
## 1484 0.764 52.900
## 1485 0.782 NA
## 1486 0.436 53.900
## 1487 0.928 70.800
## 1488 0.532 50.600
## 1489 0.435 49.260
## 1490 0.775 66.820
## 1491 0.942 66.600
## 1492 0.742 51.860
## 1493 0.320 45.200
## 1494 0.479 43.660
## 1495 0.798 69.000
## 1496 0.776 54.920
## 1497 0.786 60.000
## 1498 0.545 49.840
## 1499 0.508 54.300
## 1500 0.645 63.680
## 1501 0.766 66.040
## 1502 0.694 48.460
## 1503 0.594 49.140
## 1504 0.719 55.340
## 1505 0.878 65.000
## 1506 0.702 66.300
## 1507 0.984 62.200
## 1508 0.521 51.920
## 1509 0.809 61.100
## 1510 0.718 64.100
## 1511 0.895 58.680
## 1512 0.901 61.840
## 1513 0.638 54.300
## 1514 0.680 55.340
## 1515 0.615 56.700
## 1516 0.730 60.800
## 1517 0.819 NA
## 1518 0.953 71.700
## 1519 0.923 64.040
## 1520 0.507 55.100
## 1521 0.768 68.400
## 1522 0.912 68.380
## 1523 0.734 58.000
## 1524 0.813 NA
## 1525 0.600 64.380
## 1526 0.555 56.900
## 1527 0.712 63.900
## 1528 0.901 64.600
## 1529 0.493 53.500
## 1530 0.679 40.380
## 1531 0.766 62.000
## 1532 0.879 65.900
## 1533 0.926 66.700
## 1534 0.596 54.700
## 1535 0.785 66.960
## 1536 0.786 64.600
## 1537 0.751 46.700
## 1538 0.796 67.900
## 1539 0.855 60.820
## 1540 0.690 45.980
## 1541 0.759 48.300
## 1542 0.642 56.100
## 1543 0.701 61.520
## 1544 0.918 61.100
## 1545 0.764 60.200
## 1546 0.750 65.560
## 1547 0.676 61.960
## 1548 0.839 64.820
## 1549 0.675 64.300
## 1550 0.889 72.640
## 1551 0.667 45.780
## 1552 0.509 53.900
## 1553 0.753 72.200
## 1554 0.524 56.200
## 1555 0.818 67.260
## 1556 0.887 68.900
## 1557 0.700 50.440
## 1558 0.811 64.095
## 1559 0.852 69.000
## 1560 0.663 63.800
## 1561 0.864 74.800
## 1562 0.914 68.240
## 1563 0.938 72.200
## 1564 0.883 61.420
## 1565 0.672 59.020
## 1566 0.697 47.140
## 1567 0.567 50.660
## 1568 0.698 66.300
## 1569 0.652 49.200
## 1570 0.655 57.300
## 1571 0.673 62.300
## 1572 0.856 NA
## 1573 0.576 62.320
## 1574 0.479 53.500
## 1575 0.846 60.520
## 1576 0.782 67.200
## 1577 0.799 64.360
## 1578 0.777 64.900
## 1579 0.738 48.700
## 1580 0.790 68.000
## 1581 0.874 66.240
## 1582 0.830 NA
## 1583 0.607 56.860
## 1584 0.755 64.040
## 1585 0.775 67.500
## 1586 0.904 65.780
## 1587 0.824 NA
## 1588 0.858 64.300
## 1589 0.858 61.400
## 1590 0.725 66.740
## 1591 0.646 68.300
## 1592 0.872 72.800
## 1593 0.757 NA
## 1594 0.689 65.200
## 1595 0.686 55.720
## 1596 0.559 64.980
## 1597 0.827 51.600
## 1598 0.929 65.500
## 1599 0.805 67.100
## 1600 0.723 66.000
## 1601 0.709 66.300
## 1602 0.832 65.100
## 1603 0.938 66.100
## 1604 0.761 NA
## 1605 0.766 NA
## 1606 0.882 59.840
## 1607 0.877 63.400
## 1608 0.781 65.500
## 1609 0.729 47.720
## 1610 0.749 41.420
## 1611 0.554 50.540
## 1612 0.818 NA
## 1613 0.787 65.200
## 1614 0.434 53.100
## 1615 0.818 48.320
## 1616 0.733 66.900
## 1617 0.825 53.400
## 1618 0.799 65.900
## 1619 0.917 66.400
## 1620 0.819 45.420
## 1621 0.653 55.480
## 1622 0.852 71.560
## 1623 0.866 68.100
## 1624 0.832 68.700
## 1625 0.506 52.820
## 1626 0.773 49.700
## 1627 0.751 68.200
## 1628 0.840 62.900
## 1629 0.856 68.500
## 1630 0.849 65.389
## 1631 0.539 55.100
## 1632 0.760 46.480
## 1633 0.859 62.500
## 1634 0.911 66.860
## 1635 0.830 51.220
## 1636 0.767 52.100
## 1637 0.941 63.480
## 1638 0.535 66.200
## 1639 0.909 61.000
## 1640 0.885 64.000
## 1641 0.621 57.900
## 1642 0.784 64.661
## 1643 0.715 65.280
## 1644 0.856 66.020
## 1645 0.445 50.100
## 1646 0.640 48.700
## 1647 0.863 67.740
## 1648 0.553 66.500
## 1649 0.742 55.200
## 1650 0.910 67.120
## 1651 0.528 57.600
## 1652 0.920 59.280
## 1653 0.690 58.100
## 1654 0.585 50.200
## 1655 0.557 51.000
## 1656 0.818 54.280
## 1657 0.803 66.100
## 1658 0.785 53.400
## 1659 0.913 66.800
## 1660 0.619 49.960
## 1661 0.552 57.080
## 1662 0.719 67.500
## 1663 0.552 51.200
## 1664 0.924 65.200
## 1665 0.382 50.900
## 1666 0.538 55.700
## 1667 0.796 64.600
## 1668 0.872 60.940
## 1669 0.847 61.300
## 1670 0.657 47.600
## 1671 0.946 60.280
## 1672 0.523 52.260
## 1673 0.805 62.580
## 1674 0.444 53.020
## 1675 0.845 61.680
## 1676 0.815 66.340
## 1677 0.756 54.000
## 1678 0.739 65.300
## 1679 0.616 47.200
## 1680 0.910 70.200
## 1681 0.757 66.600
## 1682 0.803 62.260
## 1683 0.892 65.000
## 1684 0.686 41.200
## 1685 0.727 54.300
## 1686 0.739 65.840
## 1687 0.814 66.900
## 1688 0.590 64.700
## 1689 0.812 71.620
## 1690 0.919 64.900
## 1691 0.913 65.100
## 1692 0.831 64.300
## 1693 0.617 58.900
## 1694 0.724 43.180
## 1695 0.740 67.900
## 1696 0.755 54.600
## 1697 0.710 50.240
## 1698 0.705 52.400
## 1699 0.290 44.900
## 1700 0.633 54.700
## 1701 0.832 66.200
## 1702 0.684 62.640
## 1703 0.582 64.140
## 1704 0.733 65.280
## 1705 0.832 64.942
## 1706 0.734 64.349
## 1707 0.815 65.474
## 1708 0.844 65.600
## 1709 0.813 54.560
## 1710 0.936 67.100
## 1711 0.562 57.300
## 1712 0.725 58.640
## 1713 0.704 67.420
## 1714 0.842 64.000
## 1715 0.909 63.700
## 1716 0.838 65.900
## 1717 0.555 52.200
## 1718 0.617 64.500
## 1719 0.647 55.500
## 1720 0.609 66.000
## 1721 0.860 61.160
## 1722 0.735 66.480
## 1723 0.804 60.760
## 1724 0.881 58.820
## 1725 0.816 62.400
## 1726 0.666 62.015
## 1727 0.558 65.040
## 1728 0.911 64.700
## 1729 0.813 58.700
## 1730 0.869 45.580
## 1731 0.898 62.800
## 1732 0.713 63.800
## 1733 0.571 44.140
## 1734 0.532 40.900
## 1735 0.742 65.600
## 1736 0.869 61.620
## 1737 0.826 61.940
## 1738 0.918 62.300
## 1739 0.769 60.000
## 1740 0.687 64.502
## 1741 0.685 58.500
## 1742 0.751 NA
## 1743 0.908 62.000
## 1744 0.918 67.900
## 1745 0.712 61.897
## 1746 0.908 60.420
## 1747 0.724 60.640
## 1748 0.559 53.000
## 1749 0.829 65.300
## 1750 0.775 NA
## 1751 0.622 54.960
## 1752 0.533 64.900
## 1753 0.666 51.200
## 1754 0.836 64.860
## 1755 0.723 65.680
## 1756 0.856 61.120
## 1757 0.649 63.300
## 1758 0.851 65.120
## 1759 0.822 51.660
## 1760 0.533 64.920
## 1761 0.759 65.520
## 1762 0.641 65.600
## 1763 0.853 68.200
## 1764 0.753 53.200
## 1765 0.934 64.100
## 1766 0.694 54.300
## 1767 0.646 44.620
## 1768 0.820 62.600
## 1769 0.740 65.640
## 1770 0.554 32.300
## 1771 0.529 53.200
## 1772 0.762 63.880
## 1773 0.927 65.500
## 1774 0.821 65.800
## 1775 0.577 48.200
## 1776 0.584 55.300
## 1777 0.674 66.000
## 1778 0.828 66.100
## 1779 0.650 50.800
## 1780 0.670 52.900
## 1781 0.936 70.800
## 1782 0.675 60.480
## 1783 0.810 64.660
## 1784 0.779 66.780
## 1785 0.853 64.720
## 1786 0.812 64.960
## 1787 0.517 65.100
## 1788 0.843 65.700
## 1789 0.744 50.780
## 1790 0.734 45.100
## 1791 0.773 66.360
## 1792 0.736 63.020
## 1793 0.908 66.580
## 1794 0.767 66.820
## 1795 0.738 62.132
## 1796 0.770 66.000
## 1797 0.680 65.100
## 1798 0.619 60.640
## 1799 0.708 53.280
## 1800 0.748 60.200
## 1801 0.753 65.420
## 1802 0.870 57.500
## 1803 0.854 59.600
## 1804 0.706 64.300
## 1805 0.900 65.800
## 1806 0.811 55.120
## 1807 0.638 61.400
## 1808 0.829 57.520
## 1809 0.736 67.580
## 1810 0.610 67.200
## 1811 0.648 45.980
## 1812 0.673 64.800
## 1813 0.549 58.300
## 1814 0.768 63.500
## 1815 0.725 63.640
## 1816 0.733 46.380
## 1817 0.772 64.600
## 1818 0.876 67.500
## 1819 0.895 67.400
## 1820 0.656 66.900
## 1821 0.860 65.800
## 1822 0.591 42.100
## 1823 0.914 63.820
## 1824 0.526 52.880
## 1825 0.726 66.200
## 1826 0.898 66.660
## 1827 0.788 66.860
## 1828 0.753 60.160
## 1829 0.828 66.680
## 1830 0.736 65.080
## 1831 0.687 63.400
## 1832 0.673 45.740
## 1833 0.737 60.320
## 1834 0.717 64.960
## 1835 0.933 64.160
## 1836 0.744 58.320
## 1837 0.807 64.240
## 1838 0.721 65.200
## 1839 0.387 43.080
## 1840 0.902 63.460
## 1841 0.727 48.180
## 1842 0.483 42.700
## 1843 0.862 58.960
## 1844 0.709 65.000
## 1845 0.753 62.260
## 1846 0.910 62.880
## 1847 0.708 45.160
## 1848 0.614 65.460
## 1849 0.908 61.800
## 1850 0.881 68.300
## 1851 0.451 50.800
## 1852 0.676 65.520
## 1853 0.773 66.700
## 1854 0.772 62.000
## 1855 0.929 67.300
## 1856 0.648 65.640
## 1857 0.503 64.860
## 1858 0.777 66.600
## 1859 0.819 66.520
## 1860 0.812 43.900
## 1861 0.611 52.400
## 1862 0.884 62.200
## 1863 0.854 61.880
## 1864 0.660 65.200
## 1865 0.733 56.840
## 1866 0.818 56.220
## 1867 0.884 67.800
## 1868 0.982 62.600
## 1869 0.903 68.600
## 1870 0.760 64.900
## 1871 0.669 54.300
## 1872 0.695 59.600
## 1873 0.638 53.700
## 1874 0.561 40.300
## 1875 0.680 65.820
## 1876 0.663 54.300
## 1877 0.540 64.800
## 1878 0.800 65.303
## 1879 0.682 54.300
## 1880 0.866 74.500
## 1881 0.713 65.360
## 1882 0.708 65.440
## 1883 0.783 66.840
## 1884 0.818 61.780
## 1885 0.491 52.800
## 1886 0.816 67.000
## 1887 0.682 64.800
## 1888 0.803 NA
## 1889 0.759 61.700
## 1890 0.544 64.880
## 1891 0.733 49.340
## 1892 0.684 58.400
## 1893 0.719 59.000
## 1894 0.751 59.360
## 1895 0.904 75.020
## 1896 0.863 65.360
## 1897 0.837 NA
## 1898 0.303 51.580
## 1899 0.705 65.360
## 1900 0.882 64.500
## 1901 0.736 56.160
## 1902 0.775 55.100
## 1903 0.880 66.000
## 1904 0.829 67.100
## 1905 0.588 60.540
## 1906 0.714 46.060
## 1907 0.789 56.700
## 1908 0.851 65.600
## 1909 0.790 55.900
## 1910 0.905 66.100
## 1911 0.876 66.400
## 1912 0.782 44.320
## 1913 0.608 64.960
## 1914 0.291 49.020
## 1915 0.847 66.800
## 1916 0.647 65.120
## 1917 0.548 65.040
## 1918 0.508 52.600
## 1919 0.730 59.120
## 1920 0.792 67.200
## 1921 0.717 66.600
## 1922 0.585 58.760
## 1923 0.857 67.600
## 1924 0.464 55.200
## 1925 0.291 50.180
## 1926 0.420 52.400
## 1927 0.866 67.600
## 1928 NA 64.500
## 1929 NA 67.420
## 1930 0.577 62.380
## 1931 0.904 61.700
## 1932 0.675 56.100
## 1933 NA 54.300
## 1934 0.728 58.880
## 1935 0.800 66.800
## 1936 0.793 67.000
## 1937 0.709 67.200
## 1938 0.884 NA
## 1939 NA 65.800
## 1940 0.913 70.600
## 1941 NA 63.500
## 1942 NA 65.500
## 1943 0.591 54.200
## 1944 NA 66.700
## 1945 NA 68.300
## 1946 NA 64.960
## 1947 0.864 66.460
## 1948 NA 66.480
## 1949 NA 67.700
## Freedom.to.make.life.choices Generosity Perceptions.of.corruption
## 1 0.759 -0.002 0.762
## 2 0.927 0.400 0.923
## 3 0.854 -0.071 0.756
## 4 0.909 0.046 0.903
## 5 NA 0.232 NA
## 6 0.885 0.316 0.914
## 7 0.775 0.078 0.900
## 8 0.891 0.003 0.810
## 9 0.968 NA 0.410
## 10 0.860 0.536 0.917
## 11 0.905 0.241 0.759
## 12 0.882 0.459 0.587
## 13 0.868 0.525 0.904
## 14 0.929 0.046 0.794
## 15 0.770 0.354 0.962
## 16 0.939 0.246 0.727
## 17 0.781 0.376 0.973
## 18 0.917 -0.032 0.673
## 19 0.927 -0.173 NA
## 20 0.917 NA 0.441
## 21 0.926 0.262 0.370
## 22 0.903 -0.095 0.599
## 23 0.755 -0.009 0.880
## 24 0.840 -0.016 0.842
## 25 0.881 0.047 0.763
## 26 0.925 0.439 0.688
## 27 0.829 0.009 0.840
## 28 0.861 -0.131 0.837
## 29 0.721 0.014 0.889
## 30 0.816 -0.179 0.809
## 31 0.951 0.253 0.433
## 32 0.885 0.272 0.708
## 33 0.932 0.312 0.224
## 34 0.934 0.230 0.413
## 35 0.963 0.052 0.863
## 36 0.943 0.242 0.473
## 37 0.906 0.061 0.620
## 38 0.883 -0.199 0.869
## 39 0.866 0.555 0.861
## 40 0.876 -0.097 0.683
## 41 0.886 0.065 0.787
## 42 0.926 -0.033 0.837
## 43 0.869 -0.099 0.831
## 44 0.779 0.471 0.946
## 45 0.856 0.348 0.618
## 46 0.893 0.033 0.812
## 47 0.923 0.098 0.820
## 48 0.747 -0.126 0.707
## 49 0.894 0.322 0.487
## 50 0.873 -0.032 0.781
## 51 0.936 -0.076 0.742
## 52 0.952 0.281 0.719
## 53 0.891 0.073 0.592
## 54 0.930 0.249 0.406
## 55 0.872 0.099 0.804
## 56 0.878 0.255 0.668
## 57 0.877 -0.109 0.682
## 58 0.910 -0.010 0.765
## 59 0.733 0.217 0.758
## 60 0.942 -0.107 0.781
## 61 0.923 0.306 0.713
## 62 0.652 0.102 0.858
## 63 0.639 -0.015 0.785
## 64 0.901 NA 0.571
## 65 0.783 -0.002 0.796
## 66 0.811 0.018 0.814
## 67 0.904 -0.073 0.533
## 68 0.882 0.060 0.798
## 69 0.910 0.331 0.457
## 70 0.915 0.246 0.413
## 71 0.884 0.045 0.817
## 72 0.848 0.017 0.847
## 73 0.919 0.305 0.505
## 74 0.699 0.132 0.930
## 75 0.512 -0.117 0.813
## 76 0.808 0.688 0.633
## 77 0.902 0.287 0.289
## 78 0.806 -0.008 0.863
## 79 0.784 0.191 0.911
## 80 0.952 0.383 0.590
## 81 0.914 0.053 0.771
## 82 0.637 -0.130 0.885
## 83 0.683 -0.056 0.807
## 84 0.878 0.438 0.962
## 85 0.879 0.512 0.868
## 86 0.903 -0.141 0.809
## 87 0.935 0.284 0.269
## 88 0.800 0.161 0.823
## 89 0.922 NA 0.398
## 90 0.945 0.163 0.362
## 91 0.865 0.020 0.821
## 92 0.534 -0.097 0.848
## 93 0.949 0.160 0.644
## 94 0.865 0.488 0.900
## 95 0.925 0.336 0.359
## 96 0.841 0.403 0.587
## 97 0.920 0.215 0.170
## 98 0.963 0.020 0.174
## 99 0.788 -0.155 0.702
## 100 0.835 0.315 0.580
## 101 0.920 0.161 0.371
## 102 0.768 -0.155 0.754
## 103 0.867 0.478 0.580
## 104 0.877 0.288 0.434
## 105 0.828 0.244 0.690
## 106 0.971 NA 0.237
## 107 0.863 -0.095 0.801
## 108 0.834 0.268 0.842
## 109 0.814 NA 0.718
## 110 0.881 -0.174 0.851
## 111 0.834 0.268 0.650
## 112 0.777 -0.016 0.728
## 113 0.719 -0.167 0.661
## 114 0.901 -0.062 0.773
## 115 0.752 -0.153 0.809
## 116 0.945 0.139 0.323
## 117 0.798 -0.031 0.646
## 118 0.650 0.089 0.844
## 119 NA 0.698 0.592
## 120 0.884 -0.102 0.837
## 121 0.876 0.028 0.882
## 122 0.804 -0.193 0.743
## 123 0.747 -0.148 0.817
## 124 0.745 -0.164 0.854
## 125 0.918 0.290 0.466
## 126 0.895 -0.159 NA
## 127 0.737 0.085 0.741
## 128 0.726 0.076 0.780
## 129 0.944 0.132 0.254
## 130 0.847 0.380 0.909
## 131 NA -0.217 NA
## 132 0.878 0.279 0.295
## 133 0.893 0.298 0.334
## 134 0.921 0.349 0.399
## 135 0.719 0.408 0.970
## 136 0.907 0.141 0.634
## 137 0.920 0.250 0.363
## 138 0.916 0.316 0.406
## 139 0.841 -0.071 0.898
## 140 0.787 -0.191 0.646
## 141 0.801 -0.114 0.666
## 142 0.869 0.051 0.822
## 143 0.883 0.073 0.783
## 144 0.898 0.018 0.813
## 145 0.907 -0.059 0.761
## 146 0.671 -0.103 0.648
## 147 0.696 0.166 0.795
## 148 0.846 0.063 0.815
## 149 0.922 0.010 0.673
## 150 0.954 0.133 0.410
## 151 0.758 -0.172 0.778
## 152 0.940 0.301 0.639
## 153 0.682 -0.076 0.764
## 154 0.918 0.125 0.283
## 155 0.953 0.236 0.250
## 156 0.649 0.057 0.891
## 157 0.693 0.092 0.866
## 158 0.927 -0.146 0.836
## 159 0.932 0.348 0.273
## 160 0.902 0.319 0.859
## 161 0.741 NA 0.736
## 162 0.801 -0.090 0.887
## 163 0.825 -0.084 0.730
## 164 0.700 -0.003 0.871
## 165 0.918 0.254 0.321
## 166 0.730 -0.126 0.855
## 167 0.828 -0.009 0.868
## 168 0.846 -0.015 0.774
## 169 0.863 0.011 0.812
## 170 0.915 -0.059 0.800
## 171 0.769 -0.236 0.328
## 172 0.874 0.004 0.805
## 173 0.690 0.002 0.841
## 174 0.781 0.456 0.925
## 175 0.859 0.015 0.911
## 176 0.816 0.341 0.559
## 177 0.958 0.036 NA
## 178 0.931 0.253 0.427
## 179 0.949 0.120 0.207
## 180 0.882 -0.047 0.912
## 181 0.677 0.005 0.821
## 182 0.799 NA 0.711
## 183 0.970 0.304 0.511
## 184 0.957 0.013 0.828
## 185 0.912 0.096 0.816
## 186 0.763 0.009 0.863
## 187 0.900 0.336 0.438
## 188 0.889 0.371 0.425
## 189 0.935 NA 0.390
## 190 0.757 -0.055 0.837
## 191 0.640 -0.094 0.801
## 192 0.861 -0.202 0.801
## 193 0.948 0.257 0.299
## 194 0.868 0.299 0.791
## 195 0.905 0.259 0.907
## 196 0.898 0.309 0.877
## 197 0.831 0.201 0.665
## 198 0.737 -0.130 0.823
## 199 0.848 -0.192 0.851
## 200 0.636 -0.078 0.735
## 201 0.898 0.072 0.783
## 202 0.886 -0.072 0.676
## 203 0.984 0.208 NA
## 204 0.835 0.154 0.133
## 205 0.816 -0.174 0.755
## 206 0.737 -0.108 0.774
## 207 0.778 -0.048 0.693
## 208 0.964 NA NA
## 209 0.980 0.375 0.471
## 210 0.642 -0.220 0.837
## 211 0.958 0.076 0.840
## 212 0.957 0.256 0.503
## 213 0.791 -0.100 0.843
## 214 0.924 -0.126 0.583
## 215 0.859 0.039 0.636
## 216 0.985 0.123 0.465
## 217 0.790 -0.020 0.836
## 218 0.812 0.111 0.572
## 219 0.907 0.239 0.433
## 220 0.886 0.213 0.360
## 221 0.838 -0.157 0.875
## 222 0.927 0.010 0.788
## 223 0.778 -0.194 0.781
## 224 0.700 0.448 0.954
## 225 0.748 0.200 0.774
## 226 0.760 -0.070 0.743
## 227 0.805 -0.158 NA
## 228 0.948 0.138 0.210
## 229 0.959 NA 0.699
## 230 0.796 -0.064 0.909
## 231 0.962 0.106 0.388
## 232 0.945 0.202 0.250
## 233 0.863 0.161 0.697
## 234 0.898 -0.091 0.627
## 235 0.880 -0.014 0.711
## 236 0.843 0.108 0.804
## 237 0.902 0.302 0.573
## 238 0.944 0.237 0.312
## 239 0.883 0.029 0.622
## 240 0.924 0.356 0.878
## 241 0.932 0.317 0.366
## 242 0.630 0.206 0.796
## 243 0.916 0.123 0.782
## 244 0.904 0.261 0.412
## 245 0.942 0.329 0.186
## 246 0.956 0.181 0.405
## 247 0.874 NA 0.456
## 248 0.823 0.215 0.710
## 249 0.866 0.221 0.702
## 250 0.767 -0.055 0.723
## 251 0.939 0.270 0.442
## 252 0.789 -0.060 0.816
## 253 0.670 -0.063 0.830
## 254 0.830 0.500 0.890
## 255 0.905 0.216 0.337
## 256 0.927 0.266 0.278
## 257 0.900 -0.170 0.841
## 258 0.905 0.141 0.253
## 259 0.719 -0.049 0.811
## 260 0.847 0.128 0.948
## 261 0.663 0.003 0.882
## 262 0.879 0.291 0.614
## 263 0.811 -0.073 0.847
## 264 0.906 -0.127 0.884
## 265 0.942 0.118 0.237
## 266 0.916 0.091 0.413
## 267 0.850 0.080 0.793
## 268 0.769 0.032 0.844
## 269 0.960 0.109 0.397
## 270 0.718 0.027 0.857
## 271 0.828 0.063 0.841
## 272 0.701 0.019 0.857
## 273 0.870 0.391 0.898
## 274 0.816 -0.050 0.815
## 275 0.683 -0.155 0.786
## 276 0.859 0.106 0.856
## 277 0.836 0.018 0.712
## 278 0.941 0.222 0.191
## 279 0.879 -0.167 0.734
## 280 0.643 0.197 0.755
## 281 0.886 0.416 0.637
## 282 0.936 0.159 0.324
## 283 0.872 0.197 0.633
## 284 0.653 -0.141 0.881
## 285 0.807 0.022 0.697
## 286 0.932 0.240 0.206
## 287 0.716 -0.150 0.772
## 288 0.766 -0.226 0.772
## 289 0.772 -0.140 0.770
## 290 0.960 0.094 0.268
## 291 0.761 0.035 0.755
## 292 0.911 NA 0.600
## 293 0.868 0.197 0.681
## 294 0.817 -0.211 0.830
## 295 0.891 0.347 0.513
## 296 0.916 0.305 0.431
## 297 NA -0.228 NA
## 298 0.723 -0.063 0.806
## 299 0.733 -0.156 0.805
## 300 0.635 0.136 0.918
## 301 0.942 0.091 0.250
## 302 0.888 -0.043 0.586
## 303 0.733 -0.157 0.852
## 304 0.912 0.211 0.385
## 305 0.851 -0.148 0.855
## 306 0.671 -0.091 0.901
## 307 0.713 0.347 0.915
## 308 0.677 -0.128 0.785
## 309 0.823 0.145 0.760
## 310 0.970 0.318 0.520
## 311 0.677 -0.116 0.828
## 312 0.946 0.106 0.372
## 313 0.955 0.155 0.181
## 314 0.875 0.127 0.894
## 315 0.904 0.143 0.047
## 316 0.710 -0.178 0.692
## 317 0.678 -0.132 0.865
## 318 0.941 0.302 0.490
## 319 0.947 0.147 0.368
## 320 0.954 0.111 0.271
## 321 0.965 0.075 0.271
## 322 0.738 0.259 0.769
## 323 0.942 0.077 0.263
## 324 0.949 0.060 0.283
## 325 0.920 0.118 0.771
## 326 0.912 0.112 0.436
## 327 0.822 -0.172 0.854
## 328 0.915 0.141 0.748
## 329 0.874 -0.009 0.858
## 330 0.830 -0.134 0.866
## 331 0.808 -0.185 NA
## 332 0.878 -0.175 NA
## 333 0.935 0.018 0.151
## 334 0.934 NA NA
## 335 0.908 -0.071 0.792
## 336 0.607 -0.067 0.917
## 337 0.919 0.290 0.408
## 338 0.698 0.022 0.803
## 339 0.846 -0.211 0.855
## 340 0.855 -0.050 0.758
## 341 0.782 -0.078 0.688
## 342 0.956 0.247 0.890
## 343 0.824 -0.186 NA
## 344 0.696 0.015 0.834
## 345 0.447 0.055 0.715
## 346 0.814 NA 0.764
## 347 0.640 0.083 0.915
## 348 0.815 -0.130 0.874
## 349 0.757 -0.015 0.912
## 350 0.864 0.221 0.292
## 351 0.933 0.269 0.432
## 352 0.628 0.136 0.810
## 353 0.635 0.019 0.918
## 354 0.707 0.060 0.881
## 355 0.746 NA 0.513
## 356 0.868 0.425 0.933
## 357 0.759 0.331 0.548
## 358 0.838 NA 0.720
## 359 0.882 NA 0.745
## 360 0.785 -0.095 0.707
## 361 0.938 0.052 0.214
## 362 0.663 0.172 0.706
## 363 0.896 0.344 0.445
## 364 0.935 0.211 0.232
## 365 0.806 -0.054 0.656
## 366 NA -0.176 NA
## 367 0.853 -0.092 NA
## 368 0.698 -0.027 0.868
## 369 0.942 0.294 0.222
## 370 0.838 0.087 0.959
## 371 0.945 0.369 0.382
## 372 0.783 0.095 0.884
## 373 0.637 0.169 0.886
## 374 0.670 -0.095 0.747
## 375 0.912 0.157 0.234
## 376 0.831 0.026 0.729
## 377 0.691 0.066 0.841
## 378 0.824 0.051 0.863
## 379 0.918 0.146 0.246
## 380 0.923 0.212 0.884
## 381 0.896 0.131 0.546
## 382 0.734 0.195 0.782
## 383 0.781 0.033 0.812
## 384 0.917 0.059 0.403
## 385 0.780 0.044 0.884
## 386 0.941 0.161 0.269
## 387 0.825 0.116 0.710
## 388 0.836 0.144 0.707
## 389 0.906 0.136 NA
## 390 0.669 -0.064 0.694
## 391 0.884 0.331 0.558
## 392 0.819 0.172 0.849
## 393 0.935 0.170 0.239
## 394 0.891 0.125 0.342
## 395 0.630 -0.030 0.846
## 396 0.863 0.331 0.935
## 397 0.792 0.274 0.747
## 398 0.849 0.219 0.698
## 399 0.901 0.069 0.721
## 400 0.887 0.007 0.652
## 401 0.956 0.210 0.825
## 402 0.570 -0.069 0.864
## 403 0.817 0.104 0.699
## 404 0.902 -0.015 0.787
## 405 0.603 0.311 0.960
## 406 0.753 -0.050 0.841
## 407 0.935 0.274 0.368
## 408 0.830 -0.115 0.839
## 409 0.803 -0.118 0.656
## 410 0.861 0.144 0.362
## 411 0.781 -0.101 0.839
## 412 0.652 0.066 0.900
## 413 0.638 -0.079 0.880
## 414 0.900 0.553 0.920
## 415 0.570 -0.199 0.827
## 416 0.830 0.277 0.634
## 417 0.873 -0.119 0.778
## 418 0.836 0.140 0.826
## 419 0.666 0.191 0.756
## 420 0.832 -0.186 0.841
## 421 0.881 0.018 0.832
## 422 0.786 0.108 0.702
## 423 0.659 -0.103 0.860
## 424 NA NA NA
## 425 NA -0.244 NA
## 426 0.848 0.014 0.788
## 427 0.875 0.174 0.399
## 428 0.908 0.096 0.423
## 429 0.830 -0.178 0.906
## 430 0.928 0.109 0.210
## 431 0.747 0.149 0.734
## 432 0.786 -0.040 0.860
## 433 0.752 0.078 0.857
## 434 0.824 0.176 0.879
## 435 0.893 -0.053 0.810
## 436 0.894 0.002 0.847
## 437 0.834 -0.072 0.662
## 438 0.954 -0.082 0.398
## 439 0.892 0.074 0.373
## 440 0.696 -0.070 0.862
## 441 0.832 -0.158 0.471
## 442 0.908 -0.084 0.491
## 443 0.758 0.144 0.739
## 444 0.753 -0.098 0.751
## 445 0.869 0.062 0.469
## 446 0.862 -0.101 0.668
## 447 0.792 0.018 0.802
## 448 0.717 0.039 0.731
## 449 0.790 -0.010 0.866
## 450 0.861 0.083 0.817
## 451 0.912 -0.051 0.755
## 452 0.851 -0.080 0.556
## 453 0.954 0.061 0.536
## 454 0.744 0.168 0.634
## 455 0.701 0.112 0.753
## 456 0.887 -0.096 0.576
## 457 0.719 0.440 0.691
## 458 0.904 0.071 0.679
## 459 0.877 0.679 0.607
## 460 0.932 -0.116 0.744
## 461 0.912 0.125 0.314
## 462 0.769 0.041 0.812
## 463 0.795 -0.042 0.763
## 464 0.661 0.119 0.857
## 465 0.935 0.103 0.931
## 466 0.938 0.106 0.366
## 467 0.775 0.689 0.638
## 468 0.850 0.017 0.644
## 469 0.887 0.150 0.099
## 470 0.545 -0.041 0.861
## 471 0.779 -0.094 0.630
## 472 0.649 -0.084 NA
## 473 0.678 -0.225 0.776
## 474 0.847 -0.007 0.810
## 475 0.738 -0.134 0.820
## 476 0.805 -0.015 0.808
## 477 0.878 -0.125 0.699
## 478 0.825 0.470 0.647
## 479 0.757 -0.060 0.881
## 480 0.926 0.136 0.162
## 481 0.927 0.418 0.775
## 482 0.964 0.088 0.821
## 483 0.892 0.233 0.409
## 484 0.939 0.127 0.432
## 485 0.907 0.021 0.756
## 486 0.900 0.099 0.557
## 487 0.861 0.001 0.512
## 488 0.905 -0.020 0.760
## 489 0.794 -0.117 0.820
## 490 0.913 0.036 0.294
## 491 0.840 0.141 0.917
## 492 0.833 0.300 0.456
## 493 0.891 0.017 0.574
## 494 0.779 -0.036 0.763
## 495 0.840 -0.062 0.727
## 496 0.948 -0.027 0.250
## 497 0.646 0.105 0.820
## 498 0.882 0.014 0.356
## 499 0.749 -0.028 0.811
## 500 0.809 0.077 0.728
## 501 0.924 NA 0.598
## 502 0.937 0.152 0.965
## 503 0.887 0.050 0.434
## 504 0.921 -0.001 0.361
## 505 0.910 0.146 0.289
## 506 0.840 -0.085 0.808
## 507 0.886 -0.141 0.621
## 508 0.827 0.094 0.844
## 509 0.962 0.216 NA
## 510 0.835 -0.100 0.898
## 511 0.843 0.095 0.688
## 512 0.906 0.033 0.677
## 513 0.821 -0.147 0.650
## 514 0.739 -0.202 0.791
## 515 0.642 -0.017 0.785
## 516 0.857 0.355 0.484
## 517 0.889 0.021 0.752
## 518 0.769 NA 0.560
## 519 0.618 -0.087 0.768
## 520 0.603 -0.079 0.676
## 521 0.797 0.009 0.713
## 522 0.924 0.057 0.164
## 523 0.774 -0.132 NA
## 524 0.911 0.129 NA
## 525 0.825 -0.118 0.544
## 526 0.941 0.164 0.812
## 527 0.844 0.127 0.690
## 528 0.947 0.018 0.503
## 529 0.926 0.101 0.301
## 530 0.922 0.239 0.399
## 531 0.779 -0.020 0.760
## 532 0.922 0.332 0.357
## 533 0.945 0.132 NA
## 534 0.877 -0.054 0.868
## 535 0.829 -0.157 0.855
## 536 0.850 -0.104 0.623
## 537 0.831 -0.099 0.698
## 538 0.739 -0.165 0.615
## 539 0.834 0.163 0.861
## 540 0.939 0.132 0.703
## 541 0.891 -0.103 NA
## 542 0.687 0.223 0.863
## 543 0.930 -0.045 0.390
## 544 0.827 -0.154 0.895
## 545 0.759 -0.019 0.796
## 546 0.714 -0.115 0.710
## 547 0.738 -0.004 0.946
## 548 0.853 0.234 0.854
## 549 0.883 0.365 0.419
## 550 0.714 -0.055 0.920
## 551 0.871 0.067 0.615
## 552 0.922 0.168 0.679
## 553 0.889 0.088 NA
## 554 0.824 -0.075 0.780
## 555 0.962 -0.002 0.192
## 556 0.766 NA 0.758
## 557 0.852 -0.055 0.708
## 558 0.811 -0.027 0.888
## 559 0.916 -0.066 0.097
## 560 0.944 0.054 NA
## 561 0.850 0.034 0.678
## 562 0.934 0.042 0.522
## 563 0.857 0.054 0.543
## 564 0.884 -0.030 0.862
## 565 0.771 -0.160 NA
## 566 0.755 0.073 0.833
## 567 0.817 -0.139 0.641
## 568 0.774 -0.070 0.813
## 569 0.914 -0.037 0.463
## 570 0.944 0.242 0.175
## 571 0.863 -0.053 0.806
## 572 0.899 0.088 0.474
## 573 0.730 -0.210 0.740
## 574 0.819 0.139 0.891
## 575 0.787 -0.129 0.865
## 576 0.812 0.043 0.851
## 577 0.877 -0.123 0.746
## 578 0.933 -0.001 0.265
## 579 0.922 0.264 0.406
## 580 0.788 -0.093 0.633
## 581 0.572 -0.210 0.771
## 582 0.935 0.151 0.281
## 583 0.791 0.076 0.819
## 584 0.852 -0.022 0.880
## 585 0.776 -0.137 0.916
## 586 0.744 -0.086 0.794
## 587 0.807 -0.113 0.477
## 588 0.882 -0.047 0.853
## 589 0.938 0.239 0.843
## 590 0.891 0.074 0.875
## 591 0.840 0.273 0.918
## 592 0.838 0.226 0.404
## 593 0.862 -0.015 0.840
## 594 0.938 -0.127 0.199
## 595 0.487 -0.021 0.707
## 596 0.565 0.067 0.911
## 597 0.838 0.336 0.498
## 598 0.726 -0.092 0.801
## 599 0.903 -0.102 0.627
## 600 0.746 0.070 0.794
## 601 0.649 0.085 0.871
## 602 0.910 -0.083 0.748
## 603 0.862 -0.127 0.853
## 604 NA -0.102 NA
## 605 0.633 -0.088 0.830
## 606 0.911 0.317 0.411
## 607 0.885 0.118 0.567
## 608 0.877 0.034 0.496
## 609 0.772 -0.135 0.816
## 610 0.773 -0.123 0.824
## 611 0.810 0.353 0.802
## 612 0.499 -0.102 0.943
## 613 0.745 0.010 0.844
## 614 0.934 0.088 0.302
## 615 0.890 0.269 0.922
## 616 0.814 0.056 0.917
## 617 0.669 0.055 0.727
## 618 0.703 -0.066 0.870
## 619 0.597 -0.191 0.724
## 620 0.607 0.308 0.903
## 621 0.789 0.126 0.699
## 622 0.753 NA 0.692
## 623 0.906 0.490 0.647
## 624 0.875 -0.064 0.898
## 625 0.871 -0.091 0.848
## 626 0.786 -0.165 0.614
## 627 0.847 NA 0.781
## 628 0.814 -0.052 0.734
## 629 0.916 NA 0.777
## 630 0.905 0.346 0.568
## 631 0.821 0.250 0.458
## 632 NA -0.030 0.519
## 633 0.923 0.319 0.442
## 634 0.701 0.240 0.890
## 635 0.844 0.089 0.799
## 636 0.675 0.222 0.838
## 637 0.814 -0.131 NA
## 638 0.949 0.131 NA
## 639 0.854 0.271 0.485
## 640 0.903 0.060 0.457
## 641 0.940 0.350 0.896
## 642 0.933 0.139 0.187
## 643 0.757 0.005 0.890
## 644 0.596 0.164 0.968
## 645 0.867 -0.073 0.785
## 646 0.700 -0.061 0.917
## 647 0.925 0.180 0.316
## 648 0.799 -0.203 0.814
## 649 0.934 0.028 0.217
## 650 0.936 0.101 0.320
## 651 0.787 -0.091 0.623
## 652 0.677 0.410 0.798
## 653 0.918 -0.108 0.726
## 654 0.749 -0.095 0.866
## 655 0.714 -0.077 0.800
## 656 0.620 -0.012 0.909
## 657 0.584 0.100 0.913
## 658 0.622 0.005 NA
## 659 0.834 -0.150 0.683
## 660 0.780 0.001 0.817
## 661 0.679 -0.026 0.895
## 662 0.791 0.009 0.637
## 663 0.668 -0.036 0.852
## 664 0.918 0.121 0.430
## 665 0.808 0.239 0.845
## 666 0.737 -0.034 0.793
## 667 0.827 0.115 0.242
## 668 0.799 0.306 0.690
## 669 0.849 0.019 0.339
## 670 0.905 0.210 0.491
## 671 0.912 0.011 0.464
## 672 0.935 0.298 0.220
## 673 0.919 0.040 0.306
## 674 0.895 NA 0.688
## 675 0.861 -0.130 0.883
## 676 0.926 -0.141 0.711
## 677 0.777 -0.077 0.851
## 678 0.820 NA 0.471
## 679 0.917 -0.064 0.280
## 680 0.809 NA 0.525
## 681 0.694 0.110 0.836
## 682 0.832 -0.155 0.654
## 683 0.920 NA NA
## 684 0.662 0.244 0.723
## 685 0.886 -0.008 0.772
## 686 0.816 -0.138 0.582
## 687 0.813 0.200 0.858
## 688 0.555 -0.072 0.761
## 689 0.843 -0.037 0.772
## 690 0.703 -0.068 0.781
## 691 0.920 -0.002 0.885
## 692 0.903 0.044 0.330
## 693 0.924 0.162 NA
## 694 0.951 0.091 0.203
## 695 0.866 -0.056 0.497
## 696 0.805 -0.133 NA
## 697 0.889 0.178 0.412
## 698 0.708 0.212 0.861
## 699 0.879 0.176 0.689
## 700 0.736 -0.046 0.816
## 701 0.823 -0.122 0.816
## 702 0.896 0.037 0.506
## 703 0.691 0.645 0.695
## 704 0.855 -0.192 NA
## 705 0.762 -0.075 0.901
## 706 0.885 -0.077 0.751
## 707 0.807 -0.100 0.781
## 708 0.745 0.180 0.841
## 709 0.740 -0.008 0.865
## 710 0.798 -0.082 0.654
## 711 0.945 0.267 0.907
## 712 0.638 -0.067 0.896
## 713 0.894 -0.023 0.078
## 714 0.835 -0.154 0.819
## 715 0.782 -0.093 0.784
## 716 0.878 0.057 0.355
## 717 0.889 0.071 NA
## 718 0.907 0.048 NA
## 719 0.834 -0.123 0.601
## 720 0.918 0.308 0.272
## 721 0.567 0.052 0.747
## 722 0.908 0.051 0.214
## 723 0.807 0.153 0.612
## 724 0.782 -0.039 0.825
## 725 0.830 -0.062 0.762
## 726 0.800 -0.185 0.797
## 727 0.905 0.012 NA
## 728 0.590 -0.163 0.838
## 729 0.915 0.201 NA
## 730 0.626 NA 0.839
## 731 0.873 -0.080 0.737
## 732 0.864 -0.060 0.424
## 733 0.679 0.040 0.898
## 734 0.836 -0.062 0.698
## 735 0.709 0.022 0.923
## 736 0.634 0.008 0.819
## 737 0.772 -0.047 0.925
## 738 0.767 -0.007 0.787
## 739 0.904 -0.028 0.117
## 740 0.916 0.146 0.405
## 741 0.705 0.033 0.769
## 742 0.846 -0.067 0.812
## 743 0.763 NA 0.816
## 744 0.676 0.230 0.826
## 745 0.821 0.291 0.844
## 746 0.722 -0.136 0.878
## 747 0.813 0.291 0.419
## 748 0.611 NA 0.828
## 749 0.882 0.019 0.356
## 750 0.823 -0.101 0.726
## 751 0.638 -0.078 0.931
## 752 0.885 0.203 0.490
## 753 0.640 0.084 0.741
## 754 0.970 0.272 0.248
## 755 0.745 -0.035 0.755
## 756 0.932 0.052 0.375
## 757 0.703 -0.079 0.867
## 758 0.557 -0.036 0.918
## 759 0.724 0.062 0.838
## 760 0.889 0.080 0.524
## 761 0.850 -0.197 0.900
## 762 0.874 0.022 0.782
## 763 0.849 NA 0.623
## 764 0.799 -0.016 0.771
## 765 0.725 0.098 0.871
## 766 0.773 0.129 0.576
## 767 0.948 -0.052 0.195
## 768 0.859 0.143 0.874
## 769 0.468 -0.054 0.589
## 770 0.899 0.561 0.682
## 771 0.750 0.076 0.755
## 772 0.716 -0.013 0.707
## 773 0.841 -0.149 0.608
## 774 0.802 -0.090 0.884
## 775 0.884 -0.111 NA
## 776 0.758 -0.167 0.910
## 777 0.649 0.081 0.838
## 778 0.561 0.181 0.851
## 779 0.904 0.053 0.523
## 780 0.906 0.075 0.780
## 781 0.891 -0.137 0.885
## 782 0.751 NA NA
## 783 0.570 -0.033 0.847
## 784 0.551 0.003 0.889
## 785 0.911 0.025 0.159
## 786 0.641 -0.160 0.870
## 787 0.749 -0.127 0.798
## 788 0.942 0.060 NA
## 789 0.881 -0.086 0.857
## 790 0.808 -0.146 0.886
## 791 0.930 0.111 0.223
## 792 0.885 0.057 0.462
## 793 0.818 0.310 0.794
## 794 0.757 0.138 NA
## 795 0.808 -0.143 0.597
## 796 0.952 -0.126 0.788
## 797 0.808 -0.125 0.630
## 798 0.751 -0.117 0.763
## 799 0.794 -0.022 0.848
## 800 0.884 -0.022 0.385
## 801 0.837 0.201 0.740
## 802 0.771 -0.129 0.926
## 803 0.949 0.264 0.206
## 804 0.841 0.247 0.920
## 805 0.849 -0.183 0.790
## 806 0.858 NA 0.357
## 807 0.755 -0.059 0.844
## 808 NA -0.040 0.550
## 809 0.950 -0.034 0.434
## 810 0.890 0.133 0.518
## 811 0.560 0.086 0.794
## 812 0.656 0.102 0.867
## 813 0.858 0.038 0.755
## 814 0.529 -0.023 0.791
## 815 0.912 0.087 0.818
## 816 0.787 -0.027 0.649
## 817 0.665 -0.093 0.828
## 818 0.628 0.114 0.893
## 819 0.817 0.062 0.846
## 820 0.857 -0.116 0.860
## 821 0.775 0.054 0.801
## 822 0.833 -0.031 0.669
## 823 0.757 -0.145 0.797
## 824 0.886 0.650 0.619
## 825 0.687 -0.044 0.825
## 826 0.898 -0.033 0.203
## 827 0.867 -0.150 0.762
## 828 0.719 -0.152 0.708
## 829 0.618 0.291 0.900
## 830 0.817 -0.023 0.529
## 831 0.537 0.067 0.913
## 832 0.962 -0.116 0.164
## 833 0.852 0.011 0.790
## 834 0.731 0.092 0.778
## 835 0.861 0.352 NA
## 836 0.713 0.099 0.913
## 837 0.661 -0.081 NA
## 838 0.562 0.256 0.930
## 839 0.717 0.056 0.890
## 840 0.837 -0.063 0.961
## 841 0.894 0.024 0.566
## 842 0.798 -0.195 0.884
## 843 0.739 -0.031 0.691
## 844 0.806 -0.255 0.617
## 845 0.749 0.298 0.828
## 846 0.811 0.077 0.832
## 847 0.863 -0.093 0.786
## 848 0.756 -0.030 0.898
## 849 0.838 -0.139 0.617
## 850 0.806 -0.259 0.609
## 851 0.753 -0.069 0.863
## 852 0.870 -0.254 0.720
## 853 0.721 -0.106 0.948
## 854 0.639 -0.110 0.445
## 855 0.652 -0.037 0.658
## 856 0.532 -0.272 0.824
## 857 0.849 -0.206 0.659
## 858 0.840 -0.171 0.877
## 859 0.584 0.119 0.892
## 860 0.736 -0.051 0.805
## 861 0.770 -0.044 0.794
## 862 0.813 -0.250 0.816
## 863 0.914 0.045 0.888
## 864 0.832 -0.177 0.867
## 865 0.855 -0.121 0.760
## 866 0.868 NA 0.699
## 867 0.754 -0.169 0.846
## 868 0.694 0.080 0.702
## 869 0.871 0.148 0.446
## 870 0.575 -0.190 0.845
## 871 0.722 0.141 0.891
## 872 0.858 0.117 0.925
## 873 0.735 0.039 0.848
## 874 0.848 0.191 0.847
## 875 0.654 0.054 0.859
## 876 0.733 -0.095 0.724
## 877 0.715 0.060 0.868
## 878 0.841 0.145 0.414
## 879 0.809 -0.001 0.861
## 880 0.795 0.002 0.905
## 881 0.819 -0.122 0.846
## 882 0.538 0.077 0.762
## 883 0.799 -0.063 0.928
## 884 0.791 0.264 0.755
## 885 0.882 0.296 NA
## 886 0.579 -0.218 0.875
## 887 0.638 0.070 0.883
## 888 0.869 0.064 0.168
## 889 NA 0.013 0.610
## 890 0.411 -0.078 0.931
## 891 0.817 NA NA
## 892 0.827 -0.133 0.568
## 893 0.661 -0.139 0.886
## 894 0.771 -0.120 0.836
## 895 0.716 -0.131 0.915
## 896 0.467 -0.175 0.842
## 897 0.845 -0.217 0.921
## 898 0.915 NA 0.299
## 899 0.758 NA 0.334
## 900 0.690 -0.158 0.859
## 901 0.770 -0.104 0.732
## 902 0.835 -0.128 0.636
## 903 0.894 0.235 0.245
## 904 0.793 -0.021 0.931
## 905 0.480 -0.019 0.868
## 906 0.793 -0.093 0.810
## 907 0.839 -0.160 0.926
## 908 0.710 0.077 0.701
## 909 0.776 -0.172 0.672
## 910 0.702 0.260 0.837
## 911 0.573 -0.072 0.586
## 912 0.848 -0.045 0.728
## 913 0.823 -0.169 0.565
## 914 0.801 0.167 0.792
## 915 0.729 -0.099 0.743
## 916 0.593 -0.018 0.841
## 917 0.798 0.043 0.905
## 918 0.891 -0.147 NA
## 919 0.732 -0.072 0.822
## 920 0.858 -0.164 0.806
## 921 0.796 -0.090 0.809
## 922 0.684 -0.030 0.778
## 923 0.654 0.110 0.878
## 924 0.812 0.122 0.771
## 925 0.818 -0.254 0.807
## 926 0.740 -0.037 0.714
## 927 0.880 -0.009 0.483
## 928 NA NA 0.505
## 929 0.774 -0.097 0.959
## 930 NA -0.045 0.490
## 931 0.529 0.005 0.741
## 932 0.784 -0.115 0.609
## 933 0.696 -0.096 0.917
## 934 0.744 0.038 0.703
## 935 0.910 0.202 0.691
## 936 0.859 -0.058 0.941
## 937 0.739 -0.154 0.904
## 938 0.843 -0.149 0.639
## 939 0.880 NA 0.910
## 940 0.603 -0.142 NA
## 941 0.850 0.100 0.589
## 942 0.636 -0.169 0.844
## 943 0.788 0.008 0.806
## 944 0.606 -0.044 0.802
## 945 0.750 0.054 0.799
## 946 0.736 0.355 0.897
## 947 0.826 0.124 0.835
## 948 0.868 -0.067 0.908
## 949 0.883 -0.231 0.696
## 950 0.875 -0.173 0.962
## 951 0.692 -0.045 0.700
## 952 0.624 -0.135 0.732
## 953 0.642 -0.074 0.820
## 954 0.665 -0.053 0.755
## 955 0.830 NA 0.692
## 956 0.820 -0.045 NA
## 957 0.796 -0.138 0.840
## 958 0.865 NA 0.901
## 959 0.815 -0.164 0.569
## 960 0.910 0.156 0.356
## 961 0.822 0.082 NA
## 962 0.550 -0.012 0.720
## 963 0.938 0.027 0.070
## 964 0.969 -0.005 0.132
## 965 0.755 -0.085 0.900
## 966 0.612 NA 0.811
## 967 0.924 0.253 0.690
## 968 0.927 0.179 0.595
## 969 0.810 -0.190 0.831
## 970 0.908 0.025 0.095
## 971 0.661 0.046 0.066
## 972 0.726 -0.156 0.916
## 973 NA 0.255 0.829
## 974 0.922 0.296 0.274
## 975 0.799 0.004 0.805
## 976 0.819 0.007 0.675
## 977 0.703 -0.031 0.486
## 978 0.822 -0.089 NA
## 979 0.920 -0.027 0.771
## 980 0.838 0.120 0.863
## 981 0.689 NA 0.897
## 982 0.680 -0.035 0.926
## 983 0.597 0.139 0.866
## 984 0.850 0.112 NA
## 985 0.765 -0.175 0.794
## 986 0.588 0.028 0.798
## 987 0.684 0.113 0.922
## 988 0.624 -0.065 0.920
## 989 0.738 -0.028 0.854
## 990 0.632 -0.064 0.831
## 991 0.880 0.222 0.380
## 992 0.803 0.464 NA
## 993 0.729 0.032 0.873
## 994 0.782 NA 0.983
## 995 0.560 -0.120 NA
## 996 0.800 0.116 0.654
## 997 0.431 -0.076 0.905
## 998 0.667 -0.123 0.810
## 999 0.668 -0.034 0.765
## 1000 0.790 -0.292 0.851
## 1001 0.856 -0.065 0.755
## 1002 0.803 0.113 0.567
## 1003 0.820 -0.078 0.809
## 1004 0.796 -0.141 0.962
## 1005 0.698 -0.002 0.827
## 1006 0.629 -0.074 0.805
## 1007 0.587 -0.128 0.928
## 1008 0.749 -0.073 0.717
## 1009 0.831 -0.023 NA
## 1010 0.824 0.009 0.899
## 1011 0.824 0.200 0.847
## 1012 0.733 0.099 0.853
## 1013 0.817 -0.237 0.717
## 1014 0.833 -0.239 0.792
## 1015 0.670 -0.038 0.846
## 1016 0.631 0.099 0.928
## 1017 0.576 -0.104 0.831
## 1018 0.721 -0.013 0.757
## 1019 0.809 -0.026 0.832
## 1020 0.720 -0.111 0.765
## 1021 0.531 0.236 0.776
## 1022 0.890 0.332 0.256
## 1023 0.663 0.139 0.898
## 1024 0.882 -0.234 0.915
## 1025 0.731 -0.145 0.862
## 1026 0.532 -0.022 0.508
## 1027 0.763 -0.068 0.844
## 1028 0.762 -0.073 0.686
## 1029 0.634 -0.068 0.800
## 1030 0.693 NA 0.855
## 1031 0.882 -0.179 0.880
## 1032 0.736 0.110 0.847
## 1033 0.708 -0.001 0.881
## 1034 0.558 -0.198 0.908
## 1035 0.628 0.066 0.911
## 1036 0.924 0.087 0.689
## 1037 0.711 0.149 0.873
## 1038 0.818 -0.004 0.901
## 1039 0.674 -0.113 0.912
## 1040 0.781 -0.101 0.646
## 1041 0.584 -0.056 0.748
## 1042 0.616 -0.020 0.860
## 1043 0.847 -0.126 0.941
## 1044 0.762 -0.073 NA
## 1045 0.701 0.093 NA
## 1046 0.738 0.038 0.750
## 1047 0.769 -0.043 0.757
## 1048 0.827 0.125 0.941
## 1049 0.775 -0.044 NA
## 1050 0.786 0.061 0.824
## 1051 0.783 0.079 0.839
## 1052 0.773 -0.261 0.687
## 1053 0.646 -0.217 0.933
## 1054 0.835 -0.012 0.081
## 1055 0.635 -0.126 0.914
## 1056 0.758 0.135 0.873
## 1057 0.772 0.060 0.816
## 1058 0.791 0.048 0.811
## 1059 0.643 -0.009 0.789
## 1060 0.783 -0.085 0.856
## 1061 0.754 -0.201 0.726
## 1062 0.783 -0.036 0.702
## 1063 0.793 0.221 0.853
## 1064 NA -0.039 NA
## 1065 0.785 NA 0.659
## 1066 0.482 -0.260 0.898
## 1067 0.797 0.041 0.743
## 1068 0.538 -0.161 0.895
## 1069 0.777 -0.005 0.776
## 1070 NA 0.000 NA
## 1071 0.721 -0.006 0.785
## 1072 0.780 -0.055 0.549
## 1073 0.788 -0.118 0.946
## 1074 0.867 0.293 0.064
## 1075 0.525 -0.010 0.935
## 1076 0.687 0.147 0.878
## 1077 0.884 -0.120 0.819
## 1078 0.767 -0.154 0.749
## 1079 0.739 0.150 0.849
## 1080 0.732 -0.111 0.771
## 1081 0.598 -0.051 0.915
## 1082 0.776 -0.119 0.672
## 1083 0.783 0.058 0.863
## 1084 0.753 0.108 0.789
## 1085 0.779 -0.019 0.673
## 1086 0.802 0.287 NA
## 1087 0.668 -0.071 0.895
## 1088 0.848 -0.221 0.954
## 1089 0.600 -0.096 0.787
## 1090 0.677 0.001 0.913
## 1091 0.817 NA 0.905
## 1092 0.683 0.219 0.868
## 1093 NA NA 0.670
## 1094 0.589 0.004 0.919
## 1095 0.759 -0.101 0.916
## 1096 0.369 -0.288 0.930
## 1097 0.820 0.046 0.765
## 1098 0.593 0.172 0.923
## 1099 0.878 -0.235 0.802
## 1100 0.451 0.170 0.967
## 1101 0.867 -0.104 NA
## 1102 0.712 -0.032 0.791
## 1103 NA -0.065 0.578
## 1104 0.805 0.032 NA
## 1105 0.731 0.218 0.715
## 1106 0.760 0.090 0.900
## 1107 0.822 -0.115 0.949
## 1108 0.818 0.000 0.659
## 1109 0.775 0.179 0.739
## 1110 0.736 -0.203 0.846
## 1111 0.770 0.016 0.777
## 1112 0.840 -0.098 0.824
## 1113 0.704 0.139 0.826
## 1114 0.786 -0.053 0.729
## 1115 0.734 NA 0.861
## 1116 0.575 -0.064 0.913
## 1117 0.785 -0.215 0.823
## 1118 0.568 0.115 0.935
## 1119 0.884 -0.005 NA
## 1120 0.628 -0.102 0.743
## 1121 0.700 0.151 0.931
## 1122 0.909 -0.041 0.808
## 1123 0.812 -0.011 0.809
## 1124 0.678 -0.004 0.729
## 1125 0.794 -0.065 0.880
## 1126 0.703 -0.079 0.892
## 1127 0.715 -0.116 0.848
## 1128 0.750 0.056 0.810
## 1129 0.826 -0.143 0.814
## 1130 0.852 -0.038 0.945
## 1131 0.767 -0.046 NA
## 1132 0.487 -0.055 0.854
## 1133 0.821 0.073 0.898
## 1134 0.656 -0.059 0.803
## 1135 0.759 -0.039 0.871
## 1136 0.490 -0.062 0.677
## 1137 0.426 -0.272 0.941
## 1138 0.688 0.107 0.932
## 1139 0.847 0.022 0.742
## 1140 0.704 -0.081 0.885
## 1141 0.824 -0.195 0.723
## 1142 0.841 -0.075 NA
## 1143 0.744 -0.265 0.869
## 1144 0.784 0.126 0.946
## 1145 0.458 -0.155 0.890
## 1146 0.726 -0.056 0.803
## 1147 0.774 NA 0.855
## 1148 0.773 0.186 0.713
## 1149 0.916 0.345 0.696
## 1150 0.757 -0.187 0.845
## 1151 0.682 -0.067 0.948
## 1152 0.852 -0.253 0.729
## 1153 0.891 0.138 0.771
## 1154 0.783 -0.121 0.730
## 1155 0.830 0.295 0.521
## 1156 0.735 -0.025 0.883
## 1157 0.862 -0.001 0.715
## 1158 0.838 -0.069 0.757
## 1159 0.691 0.097 0.756
## 1160 0.624 -0.081 0.903
## 1161 0.729 0.079 0.856
## 1162 0.831 -0.006 0.743
## 1163 0.823 0.140 0.740
## 1164 0.565 -0.241 0.764
## 1165 0.843 0.224 0.423
## 1166 0.692 -0.117 NA
## 1167 0.872 -0.056 0.661
## 1168 0.838 -0.225 0.922
## 1169 0.706 -0.055 0.718
## 1170 NA -0.087 0.914
## 1171 0.646 -0.112 0.664
## 1172 0.396 0.089 0.794
## 1173 0.787 0.116 0.857
## 1174 0.886 -0.042 0.781
## 1175 0.713 -0.050 0.791
## 1176 0.495 -0.012 0.918
## 1177 0.728 -0.032 0.703
## 1178 0.886 0.015 NA
## 1179 0.777 -0.099 0.914
## 1180 0.794 -0.030 0.867
## 1181 0.748 -0.155 0.932
## 1182 0.704 -0.088 0.787
## 1183 0.834 0.009 0.898
## 1184 0.773 -0.153 0.652
## 1185 0.740 0.084 0.832
## 1186 0.912 0.347 0.664
## 1187 0.661 -0.289 0.934
## 1188 0.636 -0.052 0.837
## 1189 0.754 0.007 0.891
## 1190 0.561 0.150 0.902
## 1191 0.802 NA 0.944
## 1192 0.856 -0.249 0.845
## 1193 0.877 -0.261 0.880
## 1194 0.685 -0.171 0.913
## 1195 0.945 -0.102 0.785
## 1196 0.577 0.213 0.887
## 1197 0.800 -0.168 0.897
## 1198 0.688 -0.046 0.605
## 1199 0.865 0.235 0.184
## 1200 0.766 -0.001 0.410
## 1201 0.542 -0.050 0.946
## 1202 0.733 0.032 0.830
## 1203 0.646 0.001 0.794
## 1204 0.831 -0.122 0.639
## 1205 0.693 0.063 0.764
## 1206 0.693 -0.243 0.911
## 1207 0.642 -0.050 0.832
## 1208 0.591 0.026 0.862
## 1209 0.763 0.053 0.820
## 1210 0.730 -0.017 0.901
## 1211 0.697 NA 0.903
## 1212 0.727 -0.221 0.899
## 1213 0.675 0.119 0.865
## 1214 0.702 -0.016 0.814
## 1215 0.791 -0.105 0.743
## 1216 0.756 -0.072 0.891
## 1217 0.768 0.145 0.793
## 1218 0.736 -0.017 0.799
## 1219 0.782 -0.229 0.820
## 1220 0.700 -0.167 0.924
## 1221 0.729 -0.147 0.865
## 1222 0.612 -0.030 0.879
## 1223 0.508 -0.074 0.838
## 1224 0.739 -0.174 0.879
## 1225 0.519 0.092 0.911
## 1226 0.849 0.213 0.814
## 1227 0.896 0.029 0.845
## 1228 0.631 -0.075 0.776
## 1229 0.570 0.113 0.908
## 1230 0.718 -0.150 0.844
## 1231 0.767 0.200 0.676
## 1232 0.750 -0.029 0.876
## 1233 0.769 0.188 0.784
## 1234 NA -0.127 0.709
## 1235 0.731 -0.274 0.865
## 1236 0.648 -0.040 0.737
## 1237 0.470 -0.103 0.859
## 1238 0.776 -0.044 NA
## 1239 0.751 0.090 0.894
## 1240 0.614 -0.289 0.848
## 1241 0.729 -0.051 0.862
## 1242 0.733 -0.012 0.867
## 1243 0.739 0.132 0.811
## 1244 0.500 -0.075 0.732
## 1245 0.666 0.007 0.762
## 1246 0.646 -0.024 0.599
## 1247 0.712 -0.246 0.743
## 1248 0.564 -0.335 0.860
## 1249 0.554 -0.187 0.924
## 1250 0.636 -0.101 0.907
## 1251 0.609 -0.121 NA
## 1252 0.681 0.153 0.862
## 1253 0.367 0.165 0.842
## 1254 0.829 -0.039 0.161
## 1255 0.889 0.201 0.789
## 1256 0.800 0.100 0.403
## 1257 0.464 -0.125 0.915
## 1258 0.800 -0.053 0.744
## 1259 0.618 NA 0.844
## 1260 0.822 -0.109 0.943
## 1261 0.725 0.055 0.770
## 1262 0.467 -0.112 0.711
## 1263 0.778 -0.049 0.730
## 1264 0.713 -0.003 0.879
## 1265 0.649 0.005 0.634
## 1266 0.677 -0.033 0.752
## 1267 NA NA NA
## 1268 0.633 -0.035 0.867
## 1269 0.713 -0.228 0.842
## 1270 0.600 -0.089 0.797
## 1271 0.456 -0.082 0.946
## 1272 0.740 0.039 0.799
## 1273 0.729 -0.104 NA
## 1274 0.766 0.050 0.868
## 1275 0.824 -0.122 0.829
## 1276 0.909 0.410 NA
## 1277 0.584 0.055 0.911
## 1278 0.770 -0.016 0.698
## 1279 0.730 0.216 0.685
## 1280 0.896 0.008 0.892
## 1281 0.722 -0.075 0.777
## 1282 0.410 -0.104 0.816
## 1283 0.568 -0.018 0.933
## 1284 0.890 0.085 0.805
## 1285 0.800 -0.163 0.941
## 1286 0.817 -0.248 0.731
## 1287 0.431 -0.059 0.808
## 1288 0.514 -0.145 0.983
## 1289 0.620 -0.028 0.907
## 1290 0.904 -0.020 0.891
## 1291 0.682 -0.048 0.827
## 1292 0.853 0.002 0.698
## 1293 0.716 -0.104 0.892
## 1294 0.749 -0.264 0.797
## 1295 0.381 0.144 0.894
## 1296 0.678 -0.140 0.879
## 1297 0.684 -0.091 0.929
## 1298 0.335 0.100 0.848
## 1299 0.641 -0.229 0.937
## 1300 0.685 -0.156 0.868
## 1301 0.696 0.054 0.849
## 1302 0.754 -0.100 0.958
## 1303 0.686 0.173 0.900
## 1304 0.623 -0.043 0.834
## 1305 0.768 -0.048 0.819
## 1306 0.569 -0.136 0.930
## 1307 0.671 -0.043 0.804
## 1308 0.904 0.404 0.670
## 1309 0.936 0.043 0.708
## 1310 0.907 -0.025 0.893
## 1311 0.515 -0.187 0.811
## 1312 0.582 -0.060 0.833
## 1313 0.791 0.049 0.868
## 1314 0.735 -0.168 0.687
## 1315 0.494 -0.150 0.855
## 1316 0.806 -0.246 0.865
## 1317 0.364 0.300 0.852
## 1318 0.715 -0.052 0.799
## 1319 0.459 -0.178 0.800
## 1320 0.720 -0.072 0.926
## 1321 0.649 -0.055 0.749
## 1322 0.825 -0.077 0.711
## 1323 0.616 -0.036 0.841
## 1324 0.443 -0.293 0.959
## 1325 0.650 -0.021 0.888
## 1326 0.748 0.136 0.928
## 1327 0.905 -0.176 0.881
## 1328 0.569 -0.172 0.726
## 1329 0.838 -0.038 0.908
## 1330 0.876 0.112 0.752
## 1331 0.823 -0.030 0.682
## 1332 0.666 -0.104 0.810
## 1333 0.634 0.095 0.793
## 1334 0.913 -0.238 0.867
## 1335 0.801 -0.015 0.855
## 1336 0.767 -0.164 0.634
## 1337 0.713 0.002 0.747
## 1338 0.281 NA NA
## 1339 0.697 -0.192 0.793
## 1340 0.781 -0.080 0.671
## 1341 0.637 -0.024 0.875
## 1342 0.686 -0.046 0.741
## 1343 0.780 0.176 0.699
## 1344 0.771 -0.075 0.739
## 1345 0.714 -0.071 0.823
## 1346 0.678 -0.033 NA
## 1347 0.471 -0.216 0.702
## 1348 0.740 0.138 0.916
## 1349 0.700 -0.021 0.849
## 1350 0.796 NA 0.670
## 1351 0.686 -0.188 0.949
## 1352 0.942 -0.119 0.839
## 1353 0.703 0.010 0.632
## 1354 0.854 -0.214 0.457
## 1355 0.659 0.123 0.913
## 1356 0.637 -0.200 0.941
## 1357 0.707 -0.008 0.750
## 1358 0.788 -0.046 NA
## 1359 0.413 0.317 0.891
## 1360 0.752 0.017 0.286
## 1361 0.524 -0.102 0.771
## 1362 0.784 0.062 0.679
## 1363 0.569 -0.216 0.937
## 1364 0.437 -0.167 0.700
## 1365 0.816 0.036 0.884
## 1366 0.611 -0.100 0.801
## 1367 0.631 -0.089 0.940
## 1368 0.631 -0.073 0.837
## 1369 0.613 -0.084 0.920
## 1370 0.800 NA 0.957
## 1371 NA 0.086 NA
## 1372 0.633 0.134 0.957
## 1373 0.427 -0.019 0.718
## 1374 0.779 -0.042 0.926
## 1375 0.719 -0.197 0.823
## 1376 0.771 -0.038 NA
## 1377 0.896 -0.019 0.804
## 1378 0.578 -0.055 0.848
## 1379 0.525 -0.158 0.864
## 1380 0.699 -0.204 0.817
## 1381 0.831 0.140 0.416
## 1382 0.790 -0.054 0.301
## 1383 0.897 0.049 0.691
## 1384 0.655 -0.129 0.952
## 1385 0.711 -0.106 0.665
## 1386 0.760 -0.037 0.840
## 1387 0.724 -0.176 0.952
## 1388 0.630 -0.203 0.926
## 1389 0.706 0.080 0.870
## 1390 0.388 0.077 0.874
## 1391 NA 0.018 NA
## 1392 0.773 -0.234 0.843
## 1393 0.622 0.051 0.905
## 1394 0.549 -0.271 0.958
## 1395 0.543 0.049 0.946
## 1396 0.527 -0.153 0.777
## 1397 0.645 0.035 0.861
## 1398 0.727 0.010 0.907
## 1399 0.441 0.012 0.775
## 1400 0.763 0.033 0.901
## 1401 0.706 0.051 0.828
## 1402 0.718 0.141 0.843
## 1403 0.714 -0.181 0.925
## 1404 0.749 0.005 NA
## 1405 0.494 -0.241 0.968
## 1406 0.605 0.040 0.806
## 1407 0.815 -0.068 0.721
## 1408 0.644 -0.031 0.910
## 1409 0.834 0.085 0.743
## 1410 0.890 0.036 0.918
## 1411 0.541 -0.229 0.698
## 1412 0.632 -0.127 0.863
## 1413 0.557 -0.035 0.807
## 1414 0.652 -0.228 0.868
## 1415 0.484 -0.303 0.954
## 1416 0.643 0.074 0.854
## 1417 0.715 -0.081 0.885
## 1418 0.722 0.079 0.963
## 1419 0.801 0.058 0.835
## 1420 0.767 -0.028 0.844
## 1421 0.754 0.053 0.732
## 1422 0.709 -0.082 0.866
## 1423 0.784 -0.092 0.884
## 1424 0.344 -0.090 0.964
## 1425 0.741 -0.016 0.765
## 1426 0.675 0.049 0.837
## 1427 0.659 -0.016 0.774
## 1428 0.712 -0.008 0.817
## 1429 0.684 0.006 0.705
## 1430 0.609 0.067 0.830
## 1431 0.772 0.153 0.804
## 1432 0.722 0.151 0.877
## 1433 0.487 -0.205 0.877
## 1434 0.576 -0.055 0.955
## 1435 0.615 0.008 0.792
## 1436 0.766 -0.152 NA
## 1437 0.376 0.030 0.857
## 1438 0.504 -0.117 0.752
## 1439 0.752 0.146 0.909
## 1440 0.839 0.168 0.817
## 1441 NA NA NA
## 1442 0.773 -0.142 0.849
## 1443 0.671 -0.194 0.867
## 1444 0.533 0.056 0.872
## 1445 0.904 -0.055 0.838
## 1446 0.614 -0.147 0.865
## 1447 0.413 0.243 0.682
## 1448 0.653 NA 0.829
## 1449 0.624 0.050 0.825
## 1450 0.756 -0.032 0.791
## 1451 0.601 0.052 0.868
## 1452 0.603 -0.191 0.962
## 1453 0.795 -0.071 0.856
## 1454 0.719 -0.100 0.923
## 1455 0.700 -0.154 0.798
## 1456 0.556 -0.101 0.838
## 1457 0.684 0.041 0.758
## 1458 0.514 0.006 0.864
## 1459 0.593 -0.284 0.933
## 1460 0.538 0.014 0.851
## 1461 0.700 -0.170 0.936
## 1462 0.542 -0.242 0.924
## 1463 0.775 NA 0.715
## 1464 0.624 -0.257 0.929
## 1465 0.578 0.061 0.823
## 1466 0.745 -0.109 0.833
## 1467 0.831 -0.049 0.748
## 1468 0.567 -0.295 0.967
## 1469 0.557 -0.047 0.969
## 1470 0.446 -0.242 0.649
## 1471 0.660 -0.047 0.824
## 1472 0.888 0.052 0.909
## 1473 0.672 -0.168 0.699
## 1474 0.742 -0.016 0.743
## 1475 0.647 -0.048 0.682
## 1476 0.398 0.306 0.777
## 1477 0.508 -0.263 0.956
## 1478 0.554 -0.164 0.926
## 1479 0.759 0.149 0.906
## 1480 0.600 0.121 0.707
## 1481 0.766 -0.032 0.898
## 1482 0.767 0.241 0.640
## 1483 0.631 -0.025 0.856
## 1484 0.645 -0.001 0.721
## 1485 0.542 -0.153 0.730
## 1486 0.727 -0.065 0.767
## 1487 0.921 -0.025 0.829
## 1488 0.440 NA 0.785
## 1489 0.628 -0.007 0.850
## 1490 0.856 -0.110 0.815
## 1491 0.689 -0.154 0.911
## 1492 0.710 -0.004 0.801
## 1493 0.645 0.073 0.890
## 1494 0.295 -0.011 0.874
## 1495 0.672 -0.065 0.884
## 1496 0.332 -0.099 0.773
## 1497 0.712 0.121 0.841
## 1498 0.567 NA 0.742
## 1499 0.717 -0.042 0.726
## 1500 0.415 -0.189 0.785
## 1501 0.342 0.006 0.926
## 1502 0.449 0.401 0.854
## 1503 0.790 0.115 0.776
## 1504 0.534 -0.121 0.651
## 1505 0.760 -0.143 NA
## 1506 0.614 -0.165 0.811
## 1507 0.858 0.260 NA
## 1508 0.496 0.162 0.731
## 1509 0.656 -0.141 0.818
## 1510 0.764 -0.221 0.583
## 1511 0.643 -0.307 0.935
## 1512 0.609 -0.293 0.938
## 1513 0.664 -0.157 0.885
## 1514 0.726 -0.078 0.752
## 1515 0.786 -0.072 0.790
## 1516 0.659 -0.089 0.684
## 1517 0.655 NA 0.814
## 1518 0.958 -0.081 0.797
## 1519 0.723 -0.177 0.653
## 1520 0.783 -0.083 0.532
## 1521 0.694 -0.096 0.849
## 1522 0.740 -0.154 0.957
## 1523 0.717 0.001 0.757
## 1524 0.705 NA 0.380
## 1525 0.764 NA 0.678
## 1526 0.848 0.025 0.735
## 1527 0.661 0.122 0.680
## 1528 0.663 -0.074 0.943
## 1529 0.780 -0.065 0.838
## 1530 0.465 0.261 0.812
## 1531 0.651 NA 0.636
## 1532 0.656 -0.077 0.808
## 1533 0.749 -0.174 0.790
## 1534 0.612 -0.007 0.809
## 1535 0.602 -0.169 0.848
## 1536 0.764 -0.198 0.616
## 1537 0.474 -0.029 0.889
## 1538 0.564 -0.237 0.973
## 1539 0.699 -0.140 0.896
## 1540 0.653 -0.009 0.907
## 1541 0.792 0.002 0.875
## 1542 0.850 -0.104 0.841
## 1543 0.816 0.018 0.723
## 1544 0.707 -0.246 0.708
## 1545 0.598 -0.068 0.887
## 1546 0.787 0.131 0.877
## 1547 0.744 0.001 0.792
## 1548 0.587 -0.172 0.690
## 1549 0.811 -0.260 0.647
## 1550 0.707 0.094 0.818
## 1551 0.760 -0.153 0.902
## 1552 0.730 -0.007 0.815
## 1553 0.438 -0.290 0.872
## 1554 0.810 0.066 0.824
## 1555 0.546 -0.226 0.762
## 1556 0.802 0.060 0.845
## 1557 0.734 -0.064 0.777
## 1558 0.439 0.080 0.870
## 1559 0.843 0.149 0.824
## 1560 0.832 0.124 0.718
## 1561 0.846 -0.018 0.060
## 1562 0.787 -0.106 0.950
## 1563 0.931 NA 0.675
## 1564 0.626 -0.279 0.935
## 1565 0.612 0.068 0.786
## 1566 0.580 -0.069 0.945
## 1567 0.693 0.091 0.815
## 1568 0.623 NA 0.728
## 1569 0.711 0.079 0.848
## 1570 0.778 -0.131 0.763
## 1571 0.770 -0.112 NA
## 1572 0.727 0.067 0.432
## 1573 0.530 0.131 0.741
## 1574 0.772 -0.069 0.733
## 1575 0.705 -0.071 NA
## 1576 0.844 -0.172 0.583
## 1577 0.733 -0.208 0.654
## 1578 0.713 -0.204 0.607
## 1579 0.817 -0.029 0.870
## 1580 0.517 -0.198 0.977
## 1581 0.611 -0.230 0.793
## 1582 0.506 0.201 0.968
## 1583 0.448 0.100 0.792
## 1584 0.456 -0.227 0.853
## 1585 0.564 0.092 0.923
## 1586 0.642 -0.217 0.663
## 1587 0.632 -0.163 0.831
## 1588 0.599 -0.002 0.937
## 1589 0.667 -0.225 0.695
## 1590 0.333 -0.035 0.925
## 1591 0.519 0.132 0.918
## 1592 0.738 -0.060 0.921
## 1593 0.636 0.027 0.950
## 1594 0.566 -0.085 0.974
## 1595 0.662 -0.110 0.808
## 1596 0.722 -0.254 0.349
## 1597 0.819 -0.038 0.818
## 1598 0.641 -0.254 0.924
## 1599 0.552 -0.206 0.757
## 1600 0.551 -0.203 0.901
## 1601 0.611 -0.170 0.921
## 1602 0.566 -0.138 0.976
## 1603 0.614 -0.266 0.949
## 1604 0.454 -0.150 0.780
## 1605 0.556 -0.153 0.774
## 1606 0.643 -0.305 0.924
## 1607 0.533 0.084 0.927
## 1608 0.772 -0.232 0.561
## 1609 0.698 -0.017 0.925
## 1610 0.482 0.289 0.717
## 1611 0.509 0.285 0.708
## 1612 0.608 -0.129 0.812
## 1613 0.731 -0.225 0.653
## 1614 0.733 -0.027 0.850
## 1615 0.639 -0.024 0.719
## 1616 0.650 -0.191 0.840
## 1617 0.673 0.011 NA
## 1618 0.583 -0.146 0.759
## 1619 0.657 -0.186 0.546
## 1620 0.540 0.031 0.876
## 1621 0.772 -0.211 0.851
## 1622 0.528 -0.316 0.941
## 1623 0.569 -0.087 0.849
## 1624 0.694 -0.105 0.820
## 1625 0.776 -0.096 0.855
## 1626 0.587 -0.036 0.767
## 1627 0.627 -0.204 0.936
## 1628 0.595 -0.090 0.943
## 1629 0.626 -0.051 0.769
## 1630 0.745 -0.041 0.910
## 1631 0.617 0.065 0.737
## 1632 0.747 -0.041 0.807
## 1633 0.579 -0.228 0.933
## 1634 0.682 NA 0.438
## 1635 0.480 0.012 0.913
## 1636 0.574 -0.048 0.866
## 1637 0.590 -0.282 0.966
## 1638 0.757 -0.244 0.757
## 1639 0.613 -0.296 0.937
## 1640 0.503 0.011 0.891
## 1641 0.699 -0.092 0.738
## 1642 0.607 -0.087 0.865
## 1643 0.603 -0.199 0.913
## 1644 0.918 0.089 0.754
## 1645 0.580 -0.011 0.790
## 1646 0.537 0.055 0.832
## 1647 0.503 0.097 0.768
## 1648 0.819 -0.229 0.803
## 1649 0.870 0.073 0.682
## 1650 0.662 -0.092 0.934
## 1651 0.799 0.073 0.766
## 1652 0.484 0.068 0.962
## 1653 0.713 0.045 0.714
## 1654 0.512 NA 0.710
## 1655 0.456 NA 0.761
## 1656 0.583 -0.024 0.663
## 1657 0.385 0.005 0.741
## 1658 0.614 -0.063 0.727
## 1659 0.608 -0.212 0.799
## 1660 0.724 -0.035 0.840
## 1661 0.543 0.140 0.677
## 1662 0.668 -0.202 0.877
## 1663 0.679 0.190 0.850
## 1664 0.623 -0.091 0.669
## 1665 0.709 -0.004 0.825
## 1666 0.591 0.422 0.720
## 1667 0.703 NA 0.945
## 1668 0.641 -0.056 0.926
## 1669 0.598 -0.088 0.929
## 1670 0.681 0.106 0.863
## 1671 0.786 -0.123 NA
## 1672 0.769 -0.111 0.806
## 1673 0.623 -0.113 0.925
## 1674 0.663 -0.085 0.795
## 1675 0.460 -0.241 0.962
## 1676 0.834 -0.062 0.838
## 1677 0.644 -0.052 0.832
## 1678 0.777 -0.009 0.742
## 1679 0.525 0.052 0.820
## 1680 0.691 -0.151 0.925
## 1681 0.600 NA 0.710
## 1682 0.658 -0.069 0.941
## 1683 0.824 -0.084 0.929
## 1684 0.720 0.248 0.830
## 1685 0.659 -0.104 0.853
## 1686 0.506 -0.218 0.920
## 1687 0.808 -0.163 0.677
## 1688 0.821 -0.244 0.590
## 1689 0.373 -0.305 0.959
## 1690 0.503 -0.273 0.957
## 1691 0.556 -0.237 0.936
## 1692 0.553 -0.053 0.926
## 1693 0.685 0.124 0.776
## 1694 0.306 0.028 0.961
## 1695 0.583 -0.144 0.781
## 1696 0.375 -0.168 0.834
## 1697 0.725 -0.105 0.707
## 1698 0.659 0.004 0.693
## 1699 0.624 0.033 0.859
## 1700 0.746 -0.057 0.519
## 1701 0.512 -0.134 0.815
## 1702 0.601 -0.029 0.715
## 1703 0.798 0.200 0.665
## 1704 0.657 0.006 0.911
## 1705 0.641 0.025 0.861
## 1706 0.552 -0.042 0.844
## 1707 0.725 0.024 0.923
## 1708 0.453 -0.165 0.905
## 1709 0.412 -0.056 0.734
## 1710 0.698 -0.194 0.789
## 1711 0.587 0.085 0.717
## 1712 0.646 -0.001 0.726
## 1713 0.462 -0.192 0.755
## 1714 0.748 0.082 0.688
## 1715 0.431 -0.033 0.952
## 1716 0.641 -0.172 0.938
## 1717 0.526 -0.098 NA
## 1718 0.775 -0.233 0.755
## 1719 0.484 0.381 0.647
## 1720 0.711 -0.226 0.815
## 1721 0.487 -0.265 0.929
## 1722 0.258 -0.026 0.959
## 1723 0.696 -0.186 0.930
## 1724 0.781 0.064 0.918
## 1725 0.845 0.134 0.770
## 1726 0.358 -0.070 0.753
## 1727 0.720 -0.233 0.416
## 1728 0.566 -0.148 0.964
## 1729 0.616 0.044 0.950
## 1730 0.681 0.034 0.786
## 1731 0.564 -0.223 0.896
## 1732 0.896 0.012 0.635
## 1733 0.527 0.063 0.944
## 1734 0.663 0.081 0.782
## 1735 0.597 0.073 0.889
## 1736 0.628 -0.082 0.957
## 1737 0.602 -0.050 0.955
## 1738 0.700 -0.163 0.706
## 1739 0.486 -0.076 0.826
## 1740 0.513 -0.058 0.856
## 1741 0.773 0.069 0.799
## 1742 0.522 -0.127 0.750
## 1743 0.679 -0.203 0.676
## 1744 0.780 -0.251 0.783
## 1745 0.365 -0.080 0.844
## 1746 0.617 -0.283 0.954
## 1747 0.702 -0.088 0.768
## 1748 0.523 0.042 0.793
## 1749 0.693 -0.160 NA
## 1750 0.657 -0.147 0.804
## 1751 0.773 -0.112 0.800
## 1752 0.606 -0.249 0.561
## 1753 0.813 0.089 0.632
## 1754 0.564 -0.002 0.934
## 1755 0.504 -0.195 0.900
## 1756 0.551 -0.099 0.925
## 1757 0.875 -0.089 0.688
## 1758 0.564 -0.038 0.895
## 1759 0.556 0.009 0.814
## 1760 0.659 -0.269 0.321
## 1761 0.657 -0.012 0.939
## 1762 0.814 -0.216 0.841
## 1763 0.740 -0.100 0.864
## 1764 0.456 -0.136 0.906
## 1765 0.647 0.008 0.743
## 1766 0.543 -0.179 0.885
## 1767 0.401 0.021 0.931
## 1768 0.623 NA 0.877
## 1769 0.645 -0.112 0.959
## 1770 0.373 0.216 0.848
## 1771 0.389 0.080 0.881
## 1772 0.599 -0.140 0.763
## 1773 0.658 -0.125 0.664
## 1774 0.529 -0.009 0.875
## 1775 0.650 0.024 0.763
## 1776 0.304 0.291 0.839
## 1777 0.603 NA 0.703
## 1778 0.657 0.031 0.853
## 1779 0.716 0.095 0.856
## 1780 0.704 0.068 0.809
## 1781 0.739 -0.137 0.932
## 1782 0.474 -0.141 0.913
## 1783 0.530 -0.181 0.638
## 1784 0.420 -0.013 0.953
## 1785 0.670 0.069 0.902
## 1786 0.606 -0.196 0.967
## 1787 0.640 -0.205 0.502
## 1788 0.545 -0.144 0.941
## 1789 0.622 -0.070 0.726
## 1790 0.505 0.025 0.858
## 1791 0.440 -0.185 0.977
## 1792 0.498 -0.087 0.754
## 1793 0.870 -0.051 0.583
## 1794 0.390 0.042 0.970
## 1795 0.468 -0.085 0.797
## 1796 0.373 -0.178 0.961
## 1797 0.441 -0.214 0.882
## 1798 0.578 -0.126 0.749
## 1799 0.590 -0.030 0.869
## 1800 0.763 0.227 0.824
## 1801 0.650 -0.140 0.964
## 1802 0.651 NA 0.798
## 1803 0.419 -0.125 0.859
## 1804 0.901 -0.043 0.701
## 1805 0.621 -0.122 0.654
## 1806 0.390 -0.063 0.794
## 1807 0.593 -0.152 NA
## 1808 0.607 -0.198 0.782
## 1809 0.502 -0.176 0.693
## 1810 0.659 -0.209 0.889
## 1811 0.610 0.289 0.669
## 1812 0.902 -0.051 0.656
## 1813 0.765 0.004 0.680
## 1814 0.770 0.122 0.742
## 1815 0.537 -0.105 0.795
## 1816 0.567 -0.070 0.881
## 1817 0.790 0.167 0.712
## 1818 0.894 -0.090 0.799
## 1819 0.614 -0.068 0.890
## 1820 0.631 -0.055 0.960
## 1821 0.664 -0.228 0.948
## 1822 0.716 0.148 0.925
## 1823 0.621 -0.259 0.961
## 1824 0.509 0.104 0.871
## 1825 0.463 -0.170 0.965
## 1826 0.818 0.105 0.742
## 1827 0.412 0.232 0.976
## 1828 0.590 -0.151 0.859
## 1829 0.533 -0.100 0.908
## 1830 0.665 0.071 0.937
## 1831 0.501 -0.123 0.858
## 1832 0.563 -0.034 0.884
## 1833 0.452 -0.138 0.880
## 1834 0.524 0.035 0.927
## 1835 0.496 -0.303 0.979
## 1836 0.386 -0.061 0.910
## 1837 0.437 -0.180 0.942
## 1838 0.678 0.073 0.949
## 1839 0.780 -0.016 0.834
## 1840 0.645 -0.217 0.657
## 1841 0.612 -0.101 0.887
## 1842 0.690 -0.036 0.845
## 1843 0.431 -0.199 0.854
## 1844 0.462 -0.215 0.876
## 1845 0.522 -0.207 0.871
## 1846 0.656 -0.168 0.672
## 1847 0.720 -0.071 0.856
## 1848 0.568 -0.176 0.899
## 1849 0.720 0.066 NA
## 1850 0.626 -0.083 0.756
## 1851 0.718 0.168 0.882
## 1852 0.502 -0.215 0.893
## 1853 0.365 -0.128 0.933
## 1854 0.774 -0.199 NA
## 1855 0.699 -0.237 0.852
## 1856 0.536 -0.207 0.886
## 1857 0.632 -0.255 0.353
## 1858 0.605 -0.074 0.911
## 1859 0.461 -0.130 0.952
## 1860 0.726 0.012 0.910
## 1861 0.718 0.074 0.874
## 1862 0.484 -0.189 0.954
## 1863 0.772 -0.235 0.774
## 1864 0.459 -0.176 0.891
## 1865 0.682 -0.146 0.780
## 1866 0.546 -0.062 0.897
## 1867 0.685 -0.077 0.851
## 1868 0.892 0.285 NA
## 1869 0.753 -0.040 0.813
## 1870 0.605 -0.251 0.817
## 1871 0.610 -0.139 0.829
## 1872 0.628 0.000 0.757
## 1873 0.671 -0.061 0.903
## 1874 0.679 0.101 0.836
## 1875 0.589 -0.232 0.783
## 1876 0.638 -0.173 0.754
## 1877 0.558 -0.248 0.460
## 1878 0.752 -0.059 0.856
## 1879 0.706 -0.171 0.793
## 1880 0.776 -0.075 0.035
## 1881 0.621 -0.006 0.856
## 1882 0.655 -0.004 0.921
## 1883 0.532 0.072 0.912
## 1884 0.547 NA 0.858
## 1885 0.427 -0.121 0.954
## 1886 0.546 -0.062 0.859
## 1887 0.520 -0.231 0.850
## 1888 0.793 NA 0.640
## 1889 0.682 -0.215 NA
## 1890 0.495 -0.233 0.535
## 1891 0.556 -0.022 0.824
## 1892 0.599 0.019 0.762
## 1893 0.666 -0.052 0.799
## 1894 0.347 -0.070 0.780
## 1895 0.822 -0.149 0.099
## 1896 0.649 -0.024 0.764
## 1897 0.797 NA 0.614
## 1898 0.584 -0.070 0.832
## 1899 0.465 -0.225 0.875
## 1900 0.519 -0.275 0.962
## 1901 0.566 -0.195 0.810
## 1902 0.533 -0.151 NA
## 1903 0.644 -0.065 0.764
## 1904 0.607 -0.066 0.907
## 1905 0.467 0.316 0.673
## 1906 0.488 -0.045 0.882
## 1907 0.553 NA 0.793
## 1908 0.653 -0.016 0.806
## 1909 0.595 -0.147 NA
## 1910 0.644 -0.174 0.718
## 1911 0.644 -0.237 0.671
## 1912 0.770 0.005 0.855
## 1913 0.614 -0.224 0.498
## 1914 0.260 -0.019 0.860
## 1915 0.529 -0.176 0.805
## 1916 0.553 -0.267 0.752
## 1917 0.464 -0.267 0.697
## 1918 0.374 -0.094 0.928
## 1919 0.315 -0.020 0.789
## 1920 0.631 -0.136 0.760
## 1921 0.478 -0.219 0.869
## 1922 0.455 0.225 0.663
## 1923 0.510 -0.111 0.774
## 1924 0.448 0.045 0.685
## 1925 0.287 -0.055 0.932
## 1926 0.394 -0.108 0.924
## 1927 0.447 -0.081 0.890
## 1928 0.593 -0.205 0.618
## 1929 NA NA NA
## 1930 0.736 -0.098 0.789
## 1931 0.640 -0.220 0.696
## 1932 0.819 0.116 0.879
## 1933 0.764 -0.058 0.597
## 1934 NA -0.050 0.710
## 1935 0.762 -0.186 NA
## 1936 0.726 -0.165 NA
## 1937 0.779 -0.150 NA
## 1938 NA 0.090 0.849
## 1939 NA NA NA
## 1940 0.855 0.024 NA
## 1941 0.663 -0.162 0.900
## 1942 0.916 0.025 NA
## 1943 0.630 NA 0.844
## 1944 NA 0.104 NA
## 1945 NA NA NA
## 1946 0.781 -0.119 0.722
## 1947 0.936 NA NA
## 1948 NA NA NA
## 1949 NA NA NA
## Positive.affect Negative.affect
## 1 0.944 0.216
## 2 0.934 0.117
## 3 0.925 0.197
## 4 0.919 0.224
## 5 0.917 0.387
## 6 0.910 0.174
## 7 0.906 0.134
## 8 0.903 0.232
## 9 0.901 0.187
## 10 0.901 0.182
## 11 0.900 0.157
## 12 0.900 0.225
## 13 0.898 0.166
## 14 0.897 0.263
## 15 0.897 0.229
## 16 0.895 0.148
## 17 0.893 0.249
## 18 0.893 0.300
## 19 0.891 0.147
## 20 0.891 0.193
## 21 0.890 0.202
## 22 0.889 0.222
## 23 0.888 0.146
## 24 0.887 0.155
## 25 0.886 0.221
## 26 0.886 0.163
## 27 0.885 0.180
## 28 0.884 0.223
## 29 0.883 0.144
## 30 0.882 0.213
## 31 0.881 0.248
## 32 0.880 0.153
## 33 0.880 0.219
## 34 0.879 0.233
## 35 0.878 0.390
## 36 0.878 0.209
## 37 0.878 0.306
## 38 0.878 0.244
## 39 0.877 0.302
## 40 0.877 0.275
## 41 0.876 0.217
## 42 0.876 0.269
## 43 0.876 0.328
## 44 0.876 0.274
## 45 0.876 0.201
## 46 0.876 0.294
## 47 0.875 0.240
## 48 0.875 0.336
## 49 0.875 0.148
## 50 0.874 0.281
## 51 0.874 0.275
## 52 0.874 0.158
## 53 0.873 0.344
## 54 0.872 0.257
## 55 0.872 0.287
## 56 0.872 0.227
## 57 0.871 0.271
## 58 0.871 0.262
## 59 0.870 0.276
## 60 0.870 0.326
## 61 0.870 0.156
## 62 0.869 0.283
## 63 0.869 0.220
## 64 0.869 0.233
## 65 0.869 0.207
## 66 0.869 0.226
## 67 0.869 0.251
## 68 0.868 0.236
## 69 0.868 0.221
## 70 0.867 0.248
## 71 0.867 0.333
## 72 0.867 0.177
## 73 0.867 0.235
## 74 0.867 0.219
## 75 0.867 0.223
## 76 0.866 0.272
## 77 0.866 0.207
## 78 0.866 0.219
## 79 0.865 0.193
## 80 0.865 0.190
## 81 0.865 0.351
## 82 0.864 0.237
## 83 0.864 0.233
## 84 0.864 0.273
## 85 0.864 0.296
## 86 0.864 0.252
## 87 0.864 0.210
## 88 0.864 0.197
## 89 0.864 0.262
## 90 0.863 0.218
## 91 0.863 0.349
## 92 0.863 0.311
## 93 0.863 0.172
## 94 0.863 0.319
## 95 0.863 0.181
## 96 0.863 0.176
## 97 0.862 0.195
## 98 0.862 0.181
## 99 0.862 0.271
## 100 0.862 0.233
## 101 0.862 0.205
## 102 0.862 0.130
## 103 0.861 0.136
## 104 0.861 0.226
## 105 0.861 0.231
## 106 0.860 0.154
## 107 0.860 0.270
## 108 0.860 0.208
## 109 0.860 0.093
## 110 0.859 0.305
## 111 0.859 0.324
## 112 0.859 0.299
## 113 0.859 0.306
## 114 0.859 0.311
## 115 0.859 0.220
## 116 0.859 0.176
## 117 0.859 0.178
## 118 0.858 0.155
## 119 0.858 0.112
## 120 0.858 0.244
## 121 0.858 0.275
## 122 0.858 0.176
## 123 0.857 0.272
## 124 0.857 0.238
## 125 0.857 0.229
## 126 0.856 0.190
## 127 0.855 0.285
## 128 0.855 0.176
## 129 0.855 0.170
## 130 0.855 0.138
## 131 0.854 0.112
## 132 0.854 0.238
## 133 0.854 0.232
## 134 0.853 0.206
## 135 0.852 0.242
## 136 0.852 0.332
## 137 0.852 0.185
## 138 0.851 0.263
## 139 0.851 0.278
## 140 0.851 0.267
## 141 0.851 0.323
## 142 0.851 0.311
## 143 0.851 0.358
## 144 0.850 0.278
## 145 0.850 0.286
## 146 0.850 0.243
## 147 0.850 0.236
## 148 0.850 0.279
## 149 0.850 0.308
## 150 0.850 0.209
## 151 0.849 0.268
## 152 0.849 0.180
## 153 0.849 0.196
## 154 0.849 0.209
## 155 0.849 0.203
## 156 0.849 0.259
## 157 0.849 0.108
## 158 0.848 0.303
## 159 0.848 0.199
## 160 0.848 0.235
## 161 0.848 0.093
## 162 0.847 0.278
## 163 0.847 0.333
## 164 0.847 0.294
## 165 0.847 0.235
## 166 0.846 0.211
## 167 0.846 0.294
## 168 0.846 0.365
## 169 0.846 0.321
## 170 0.846 0.308
## 171 0.846 0.182
## 172 0.846 0.311
## 173 0.846 0.124
## 174 0.846 0.141
## 175 0.846 0.248
## 176 0.846 0.231
## 177 0.845 0.414
## 178 0.845 0.286
## 179 0.845 0.168
## 180 0.845 0.232
## 181 0.845 0.136
## 182 0.845 0.083
## 183 0.845 0.220
## 184 0.844 0.390
## 185 0.844 0.233
## 186 0.844 0.289
## 187 0.844 0.174
## 188 0.844 0.184
## 189 0.843 0.238
## 190 0.843 0.273
## 191 0.843 0.283
## 192 0.843 0.231
## 193 0.843 0.209
## 194 0.843 0.187
## 195 0.843 0.198
## 196 0.843 0.208
## 197 0.843 0.262
## 198 0.842 0.254
## 199 0.842 0.312
## 200 0.842 0.232
## 201 0.842 0.248
## 202 0.842 0.283
## 203 0.842 0.147
## 204 0.841 0.180
## 205 0.840 0.232
## 206 0.840 0.256
## 207 0.840 0.215
## 208 0.840 0.151
## 209 0.840 0.103
## 210 0.840 0.238
## 211 0.839 0.398
## 212 0.839 0.233
## 213 0.839 0.292
## 214 0.839 0.329
## 215 0.839 0.271
## 216 0.839 0.203
## 217 0.838 0.291
## 218 0.838 0.277
## 219 0.838 0.215
## 220 0.838 0.231
## 221 0.837 0.299
## 222 0.837 0.290
## 223 0.837 0.330
## 224 0.837 0.218
## 225 0.837 0.213
## 226 0.837 0.114
## 227 0.836 0.142
## 228 0.836 0.208
## 229 0.836 0.178
## 230 0.836 0.237
## 231 0.836 0.200
## 232 0.836 0.208
## 233 0.836 0.273
## 234 0.836 0.280
## 235 0.835 0.225
## 236 0.835 0.305
## 237 0.835 0.237
## 238 0.835 0.151
## 239 0.835 0.337
## 240 0.835 0.218
## 241 0.834 0.220
## 242 0.834 0.234
## 243 0.834 0.176
## 244 0.834 0.202
## 245 0.834 0.160
## 246 0.834 0.194
## 247 0.834 0.207
## 248 0.834 0.260
## 249 0.834 0.281
## 250 0.833 0.274
## 251 0.833 0.259
## 252 0.833 0.276
## 253 0.833 0.286
## 254 0.833 0.342
## 255 0.833 0.213
## 256 0.833 0.207
## 257 0.833 0.242
## 258 0.833 0.200
## 259 0.833 0.108
## 260 0.833 0.286
## 261 0.833 0.204
## 262 0.832 0.173
## 263 0.832 0.286
## 264 0.832 0.290
## 265 0.832 0.233
## 266 0.832 0.202
## 267 0.832 0.297
## 268 0.832 0.192
## 269 0.832 0.197
## 270 0.832 0.186
## 271 0.832 NA
## 272 0.832 0.129
## 273 0.832 0.180
## 274 0.831 0.265
## 275 0.831 0.365
## 276 0.831 0.302
## 277 0.829 0.253
## 278 0.829 0.218
## 279 0.829 0.314
## 280 0.829 0.240
## 281 0.829 0.202
## 282 0.829 0.184
## 283 0.829 0.232
## 284 0.828 0.279
## 285 0.828 0.240
## 286 0.828 0.194
## 287 0.828 0.317
## 288 0.828 0.199
## 289 0.827 0.188
## 290 0.827 0.212
## 291 0.827 0.112
## 292 0.827 0.261
## 293 0.827 0.268
## 294 0.826 0.319
## 295 0.826 0.215
## 296 0.826 0.218
## 297 0.826 0.146
## 298 0.826 0.220
## 299 0.826 0.333
## 300 0.826 0.141
## 301 0.826 0.202
## 302 0.826 0.253
## 303 0.825 0.328
## 304 0.825 0.237
## 305 0.825 0.301
## 306 0.825 0.357
## 307 0.825 0.266
## 308 0.825 0.201
## 309 0.825 0.175
## 310 0.825 0.209
## 311 0.825 0.180
## 312 0.824 0.259
## 313 0.824 0.206
## 314 0.824 0.200
## 315 0.824 0.111
## 316 0.824 0.252
## 317 0.823 0.318
## 318 0.823 0.174
## 319 0.823 0.213
## 320 0.823 0.195
## 321 0.823 0.216
## 322 0.823 0.163
## 323 0.823 0.161
## 324 0.823 0.189
## 325 0.822 0.157
## 326 0.822 0.285
## 327 0.822 0.322
## 328 0.822 0.358
## 329 0.822 0.164
## 330 0.822 0.338
## 331 0.821 0.159
## 332 0.821 0.214
## 333 0.821 0.206
## 334 0.821 0.095
## 335 0.821 0.290
## 336 0.821 0.251
## 337 0.821 0.212
## 338 0.821 0.140
## 339 0.820 0.321
## 340 0.820 0.238
## 341 0.820 0.265
## 342 0.820 0.352
## 343 0.820 0.134
## 344 0.820 0.299
## 345 0.820 0.194
## 346 0.820 0.219
## 347 0.820 0.149
## 348 0.820 0.375
## 349 0.820 0.294
## 350 0.820 0.151
## 351 0.819 0.177
## 352 0.819 0.224
## 353 0.819 0.123
## 354 0.819 0.150
## 355 0.819 0.112
## 356 0.819 0.145
## 357 0.819 0.218
## 358 0.819 0.233
## 359 0.818 0.302
## 360 0.818 0.276
## 361 0.818 0.227
## 362 0.818 0.287
## 363 0.818 0.213
## 364 0.818 0.191
## 365 0.817 0.250
## 366 0.817 0.159
## 367 0.817 0.147
## 368 0.817 0.283
## 369 0.817 0.172
## 370 0.817 0.184
## 371 0.816 0.195
## 372 0.816 0.307
## 373 0.816 0.200
## 374 0.816 0.248
## 375 0.816 0.191
## 376 0.816 0.304
## 377 0.816 0.303
## 378 0.816 0.315
## 379 0.816 0.201
## 380 0.816 0.232
## 381 0.815 0.156
## 382 0.815 0.288
## 383 0.815 0.336
## 384 0.815 0.227
## 385 0.815 0.186
## 386 0.815 0.179
## 387 0.815 0.292
## 388 0.815 0.244
## 389 0.814 0.290
## 390 0.814 0.302
## 391 0.814 0.245
## 392 0.814 0.221
## 393 0.814 0.175
## 394 0.814 0.202
## 395 0.814 0.094
## 396 0.814 0.164
## 397 0.814 0.260
## 398 0.814 0.275
## 399 0.813 0.218
## 400 0.813 0.242
## 401 0.813 0.399
## 402 0.813 0.204
## 403 0.813 0.334
## 404 0.813 0.334
## 405 0.812 0.242
## 406 0.812 0.283
## 407 0.811 0.214
## 408 0.811 0.374
## 409 0.811 0.216
## 410 0.811 0.213
## 411 0.811 0.160
## 412 0.811 0.209
## 413 0.811 0.320
## 414 0.811 0.169
## 415 0.811 0.244
## 416 0.810 0.312
## 417 0.810 0.292
## 418 0.810 0.287
## 419 0.810 0.190
## 420 0.809 0.292
## 421 0.809 0.398
## 422 0.809 0.300
## 423 0.809 0.337
## 424 0.809 0.170
## 425 0.809 0.171
## 426 0.809 0.300
## 427 0.809 0.211
## 428 0.809 0.216
## 429 0.809 0.380
## 430 0.809 0.166
## 431 0.808 0.300
## 432 0.808 0.287
## 433 0.808 0.248
## 434 0.808 0.222
## 435 0.808 0.149
## 436 0.808 0.254
## 437 0.807 0.268
## 438 0.807 0.188
## 439 0.807 0.223
## 440 0.807 0.305
## 441 0.807 0.231
## 442 0.807 0.265
## 443 0.806 0.264
## 444 0.806 0.224
## 445 0.805 0.240
## 446 0.805 0.160
## 447 0.805 0.268
## 448 0.805 0.380
## 449 0.805 0.256
## 450 0.805 0.384
## 451 0.805 0.351
## 452 0.805 0.252
## 453 0.805 0.106
## 454 0.804 0.348
## 455 0.804 0.317
## 456 0.804 0.156
## 457 0.804 0.379
## 458 0.804 0.170
## 459 0.804 0.302
## 460 0.804 0.327
## 461 0.804 0.134
## 462 0.803 0.333
## 463 0.803 0.307
## 464 0.803 0.261
## 465 0.803 0.258
## 466 0.803 0.170
## 467 0.803 0.217
## 468 0.803 0.255
## 469 0.803 0.142
## 470 0.802 0.226
## 471 0.802 0.229
## 472 0.802 0.223
## 473 0.802 0.224
## 474 0.801 0.264
## 475 0.801 0.268
## 476 0.800 0.326
## 477 0.800 0.205
## 478 0.800 0.289
## 479 0.800 0.330
## 480 0.800 0.179
## 481 0.799 0.308
## 482 0.799 0.408
## 483 0.799 0.225
## 484 0.799 0.238
## 485 0.799 0.332
## 486 0.798 0.164
## 487 0.798 0.252
## 488 0.798 0.300
## 489 0.798 0.243
## 490 0.798 0.171
## 491 0.798 0.229
## 492 0.798 0.219
## 493 0.797 0.217
## 494 0.797 0.372
## 495 0.797 0.297
## 496 0.797 0.182
## 497 0.797 0.260
## 498 0.797 0.246
## 499 0.797 0.162
## 500 0.797 0.346
## 501 0.796 0.260
## 502 0.796 0.188
## 503 0.796 0.307
## 504 0.796 0.202
## 505 0.796 0.177
## 506 0.795 0.340
## 507 0.795 0.163
## 508 0.795 0.270
## 509 0.795 0.208
## 510 0.794 0.294
## 511 0.794 0.182
## 512 0.794 0.165
## 513 0.794 0.175
## 514 0.794 0.124
## 515 0.794 0.169
## 516 0.794 0.251
## 517 0.793 0.295
## 518 0.793 0.177
## 519 0.793 0.170
## 520 0.793 0.196
## 521 0.793 0.408
## 522 0.793 0.308
## 523 0.793 0.266
## 524 0.793 0.284
## 525 0.793 0.255
## 526 0.792 0.440
## 527 0.792 0.206
## 528 0.792 0.155
## 529 0.792 0.192
## 530 0.791 0.236
## 531 0.791 0.309
## 532 0.790 0.210
## 533 0.790 0.297
## 534 0.790 0.382
## 535 0.790 0.416
## 536 0.790 0.261
## 537 0.790 0.228
## 538 0.790 0.223
## 539 0.790 0.153
## 540 0.789 0.145
## 541 0.789 0.245
## 542 0.789 0.206
## 543 0.789 0.212
## 544 0.789 0.394
## 545 0.789 0.332
## 546 0.788 0.274
## 547 0.788 0.201
## 548 0.788 0.230
## 549 0.788 0.182
## 550 0.788 0.213
## 551 0.788 0.214
## 552 0.787 0.163
## 553 0.787 0.283
## 554 0.787 0.282
## 555 0.787 0.176
## 556 0.787 0.220
## 557 0.787 0.139
## 558 0.787 0.267
## 559 0.787 0.107
## 560 0.787 0.302
## 561 0.787 0.295
## 562 0.787 0.123
## 563 0.786 0.234
## 564 0.786 0.393
## 565 0.786 0.162
## 566 0.786 0.296
## 567 0.786 0.215
## 568 0.786 0.301
## 569 0.786 0.118
## 570 0.785 0.155
## 571 0.785 0.280
## 572 0.785 0.188
## 573 0.785 0.169
## 574 0.785 0.246
## 575 0.785 0.268
## 576 0.784 0.301
## 577 0.784 0.264
## 578 0.784 0.199
## 579 0.784 0.229
## 580 0.784 0.278
## 581 0.784 0.239
## 582 0.784 0.247
## 583 0.784 0.289
## 584 0.784 0.378
## 585 0.784 0.242
## 586 0.784 0.245
## 587 0.784 0.306
## 588 0.783 0.376
## 589 0.783 0.482
## 590 0.783 0.184
## 591 0.783 0.326
## 592 0.783 0.228
## 593 0.782 0.409
## 594 0.782 0.182
## 595 0.782 0.164
## 596 0.782 0.190
## 597 0.782 0.241
## 598 0.781 0.392
## 599 0.781 0.281
## 600 0.781 0.299
## 601 0.781 0.178
## 602 0.781 0.341
## 603 0.781 0.161
## 604 0.781 0.152
## 605 0.781 0.211
## 606 0.780 0.225
## 607 0.780 0.170
## 608 0.780 0.243
## 609 0.780 0.191
## 610 0.780 0.331
## 611 0.779 0.217
## 612 0.779 0.357
## 613 0.779 0.294
## 614 0.779 0.206
## 615 0.778 0.170
## 616 0.778 0.126
## 617 0.778 0.129
## 618 0.778 0.390
## 619 0.778 0.280
## 620 0.778 0.161
## 621 0.777 0.289
## 622 0.777 0.171
## 623 0.777 0.300
## 624 0.777 0.223
## 625 0.777 0.224
## 626 0.777 0.274
## 627 0.776 0.197
## 628 0.776 0.181
## 629 0.776 0.241
## 630 0.776 0.252
## 631 0.776 0.230
## 632 0.776 0.152
## 633 0.775 0.245
## 634 0.775 0.279
## 635 0.775 0.162
## 636 0.775 0.314
## 637 0.775 0.306
## 638 0.775 0.245
## 639 0.775 0.251
## 640 0.774 0.205
## 641 0.774 0.422
## 642 0.774 0.209
## 643 0.774 0.198
## 644 0.774 0.239
## 645 0.774 0.158
## 646 0.774 0.232
## 647 0.774 0.196
## 648 0.773 0.171
## 649 0.773 0.144
## 650 0.773 0.205
## 651 0.773 0.270
## 652 0.773 0.401
## 653 0.773 0.393
## 654 0.773 0.206
## 655 0.773 0.167
## 656 0.772 0.149
## 657 0.772 0.183
## 658 0.772 0.232
## 659 0.772 0.260
## 660 0.771 0.388
## 661 0.771 0.301
## 662 0.771 0.503
## 663 0.771 0.214
## 664 0.770 0.202
## 665 0.770 0.261
## 666 0.770 0.370
## 667 0.770 0.148
## 668 0.770 0.172
## 669 0.770 0.287
## 670 0.769 0.205
## 671 0.769 0.206
## 672 0.769 0.175
## 673 0.769 0.195
## 674 0.769 0.225
## 675 0.769 0.243
## 676 0.769 0.341
## 677 0.769 0.143
## 678 0.769 0.083
## 679 0.769 0.193
## 680 0.768 0.306
## 681 0.768 0.296
## 682 0.768 0.176
## 683 0.768 0.224
## 684 0.767 0.342
## 685 0.767 0.260
## 686 0.767 0.282
## 687 0.767 0.173
## 688 0.767 0.209
## 689 0.767 0.138
## 690 0.766 0.350
## 691 0.766 0.207
## 692 0.766 0.184
## 693 0.766 0.322
## 694 0.766 0.222
## 695 0.765 0.260
## 696 0.765 0.158
## 697 0.765 0.203
## 698 0.765 0.161
## 699 0.765 0.130
## 700 0.765 0.145
## 701 0.764 0.342
## 702 0.764 0.422
## 703 0.764 0.205
## 704 0.764 0.288
## 705 0.764 0.274
## 706 0.764 0.250
## 707 0.763 0.302
## 708 0.763 0.272
## 709 0.763 0.290
## 710 0.763 0.303
## 711 0.763 0.203
## 712 0.763 0.354
## 713 0.763 0.134
## 714 0.763 0.230
## 715 0.763 0.264
## 716 0.763 0.233
## 717 0.763 0.216
## 718 0.762 0.317
## 719 0.762 0.242
## 720 0.762 0.210
## 721 0.762 0.175
## 722 0.762 0.358
## 723 0.762 0.221
## 724 0.761 0.361
## 725 0.761 0.337
## 726 0.761 0.346
## 727 0.761 0.328
## 728 0.761 0.178
## 729 0.761 0.296
## 730 0.761 0.351
## 731 0.760 0.278
## 732 0.760 0.206
## 733 0.760 0.152
## 734 0.760 0.192
## 735 0.760 0.228
## 736 0.760 0.150
## 737 0.760 0.238
## 738 0.760 0.329
## 739 0.760 0.167
## 740 0.759 0.187
## 741 0.759 0.251
## 742 0.759 0.410
## 743 0.759 0.284
## 744 0.759 0.199
## 745 0.759 0.237
## 746 0.759 0.319
## 747 0.759 0.210
## 748 0.759 0.374
## 749 0.758 0.192
## 750 0.758 0.132
## 751 0.758 0.361
## 752 0.758 0.225
## 753 0.757 0.330
## 754 0.757 0.163
## 755 0.757 0.171
## 756 0.757 0.193
## 757 0.757 0.398
## 758 0.757 0.228
## 759 0.757 0.216
## 760 0.756 0.197
## 761 0.756 0.201
## 762 0.755 0.282
## 763 0.755 0.350
## 764 0.755 0.325
## 765 0.755 0.369
## 766 0.755 0.120
## 767 0.755 0.181
## 768 0.755 0.160
## 769 0.755 0.163
## 770 0.755 0.286
## 771 0.755 0.179
## 772 0.755 0.220
## 773 0.754 0.253
## 774 0.754 0.378
## 775 0.754 0.251
## 776 0.754 0.253
## 777 0.754 0.265
## 778 0.753 0.180
## 779 0.752 0.226
## 780 0.752 0.383
## 781 0.752 0.195
## 782 0.752 0.283
## 783 0.752 0.375
## 784 0.752 0.362
## 785 0.752 0.285
## 786 0.752 0.180
## 787 0.752 0.336
## 788 0.752 0.298
## 789 0.751 0.419
## 790 0.751 0.206
## 791 0.751 0.191
## 792 0.751 0.226
## 793 0.751 0.251
## 794 0.751 0.267
## 795 0.751 0.264
## 796 0.751 0.186
## 797 0.750 0.250
## 798 0.750 0.350
## 799 0.750 0.298
## 800 0.750 0.202
## 801 0.750 0.243
## 802 0.750 0.252
## 803 0.749 0.234
## 804 0.749 0.141
## 805 0.749 0.239
## 806 0.749 0.122
## 807 0.749 0.366
## 808 0.749 0.344
## 809 0.749 0.130
## 810 0.748 0.180
## 811 0.748 0.337
## 812 0.748 0.420
## 813 0.748 0.274
## 814 0.748 0.192
## 815 0.748 0.169
## 816 0.748 0.209
## 817 0.748 0.122
## 818 0.747 0.383
## 819 0.747 0.250
## 820 0.746 0.261
## 821 0.746 0.329
## 822 0.746 0.281
## 823 0.746 0.255
## 824 0.746 0.282
## 825 0.746 0.291
## 826 0.746 0.275
## 827 0.745 0.291
## 828 0.745 0.237
## 829 0.745 0.153
## 830 0.745 0.126
## 831 0.745 0.225
## 832 0.744 0.193
## 833 0.744 0.209
## 834 0.744 0.440
## 835 0.744 0.391
## 836 0.744 0.316
## 837 0.744 0.276
## 838 0.744 0.178
## 839 0.744 0.206
## 840 0.743 0.286
## 841 0.743 0.205
## 842 0.743 0.180
## 843 0.743 0.306
## 844 0.743 0.194
## 845 0.743 0.226
## 846 0.743 0.394
## 847 0.742 0.387
## 848 0.742 0.336
## 849 0.742 0.189
## 850 0.742 0.186
## 851 0.742 0.393
## 852 0.742 0.176
## 853 0.742 0.265
## 854 0.742 0.319
## 855 0.741 0.186
## 856 0.740 0.277
## 857 0.740 0.176
## 858 0.740 0.184
## 859 0.740 0.244
## 860 0.740 0.225
## 861 0.739 0.432
## 862 0.739 0.160
## 863 0.739 0.335
## 864 0.739 0.227
## 865 0.739 0.275
## 866 0.739 0.153
## 867 0.739 0.240
## 868 0.738 0.303
## 869 0.738 0.187
## 870 0.738 0.222
## 871 0.738 0.384
## 872 0.738 0.186
## 873 0.738 0.170
## 874 0.738 0.253
## 875 0.738 0.191
## 876 0.738 0.209
## 877 0.737 0.397
## 878 0.737 0.196
## 879 0.737 0.310
## 880 0.737 0.234
## 881 0.737 0.356
## 882 0.736 0.336
## 883 0.736 0.277
## 884 0.736 0.317
## 885 0.736 0.340
## 886 0.736 0.187
## 887 0.736 0.231
## 888 0.736 0.418
## 889 0.736 0.159
## 890 0.736 0.218
## 891 0.735 0.346
## 892 0.735 0.250
## 893 0.735 0.181
## 894 0.735 0.240
## 895 0.735 0.273
## 896 0.735 0.222
## 897 0.735 0.298
## 898 0.735 0.189
## 899 0.735 0.152
## 900 0.735 0.210
## 901 0.735 0.308
## 902 0.734 0.314
## 903 0.734 0.196
## 904 0.734 0.312
## 905 0.734 0.241
## 906 0.734 0.240
## 907 0.734 0.231
## 908 0.734 0.245
## 909 0.733 0.244
## 910 0.733 0.297
## 911 0.733 0.174
## 912 0.732 0.329
## 913 0.732 0.231
## 914 0.732 0.231
## 915 0.732 0.270
## 916 0.732 0.176
## 917 0.732 0.252
## 918 0.732 0.238
## 919 0.732 0.285
## 920 0.731 0.218
## 921 0.731 0.207
## 922 0.731 0.427
## 923 0.731 0.241
## 924 0.731 0.372
## 925 0.730 0.267
## 926 0.730 0.174
## 927 0.730 0.115
## 928 0.730 0.243
## 929 0.729 0.370
## 930 0.729 0.178
## 931 0.728 0.178
## 932 0.728 0.195
## 933 0.728 0.123
## 934 0.727 0.254
## 935 0.727 0.176
## 936 0.727 0.268
## 937 0.727 0.231
## 938 0.726 0.177
## 939 0.726 0.201
## 940 0.726 0.240
## 941 0.726 0.243
## 942 0.726 0.363
## 943 0.726 0.250
## 944 0.725 0.232
## 945 0.725 0.162
## 946 0.725 0.185
## 947 0.725 0.236
## 948 0.725 0.224
## 949 0.725 0.168
## 950 0.725 0.279
## 951 0.725 0.157
## 952 0.725 0.249
## 953 0.725 0.239
## 954 0.724 0.193
## 955 0.724 0.311
## 956 0.724 0.327
## 957 0.724 0.322
## 958 0.723 0.258
## 959 0.723 0.183
## 960 0.723 0.236
## 961 0.723 0.324
## 962 0.723 0.304
## 963 0.723 0.138
## 964 0.722 0.172
## 965 0.722 0.135
## 966 0.722 0.396
## 967 0.721 0.302
## 968 0.721 0.296
## 969 0.721 0.277
## 970 0.721 0.206
## 971 0.721 0.256
## 972 0.720 0.253
## 973 0.719 0.341
## 974 0.719 0.237
## 975 0.718 0.169
## 976 0.718 0.252
## 977 0.718 0.203
## 978 0.718 0.383
## 979 0.718 0.165
## 980 0.717 0.172
## 981 0.717 0.171
## 982 0.717 0.251
## 983 0.717 0.146
## 984 0.716 0.303
## 985 0.716 0.308
## 986 0.716 0.266
## 987 0.716 0.303
## 988 0.716 0.356
## 989 0.716 0.335
## 990 0.716 0.235
## 991 0.715 0.183
## 992 0.715 0.358
## 993 0.715 0.245
## 994 0.715 0.282
## 995 0.715 0.225
## 996 0.715 0.255
## 997 0.715 0.297
## 998 0.715 0.179
## 999 0.714 0.183
## 1000 0.714 0.178
## 1001 0.714 0.295
## 1002 0.714 0.237
## 1003 0.714 0.202
## 1004 0.714 0.312
## 1005 0.714 0.199
## 1006 0.714 0.247
## 1007 0.714 0.269
## 1008 0.714 0.198
## 1009 0.714 0.187
## 1010 0.713 0.319
## 1011 0.713 0.253
## 1012 0.713 0.268
## 1013 0.713 0.205
## 1014 0.712 0.273
## 1015 0.712 0.358
## 1016 0.712 0.150
## 1017 0.712 0.182
## 1018 0.711 0.343
## 1019 0.711 0.285
## 1020 0.711 0.208
## 1021 0.710 0.268
## 1022 0.710 0.183
## 1023 0.710 0.349
## 1024 0.710 0.300
## 1025 0.710 0.195
## 1026 0.710 0.202
## 1027 0.710 0.212
## 1028 0.709 0.401
## 1029 0.709 0.243
## 1030 0.709 0.405
## 1031 0.709 0.333
## 1032 0.709 0.220
## 1033 0.708 0.228
## 1034 0.707 0.245
## 1035 0.707 0.194
## 1036 0.707 0.356
## 1037 0.707 0.167
## 1038 0.706 0.221
## 1039 0.706 0.307
## 1040 0.706 0.399
## 1041 0.706 0.158
## 1042 0.705 0.198
## 1043 0.705 0.358
## 1044 0.705 0.313
## 1045 0.705 0.301
## 1046 0.704 0.422
## 1047 0.704 0.378
## 1048 0.704 0.150
## 1049 0.704 0.369
## 1050 0.704 0.263
## 1051 0.703 0.248
## 1052 0.703 0.185
## 1053 0.703 0.309
## 1054 0.703 0.132
## 1055 0.703 0.267
## 1056 0.703 0.353
## 1057 0.703 0.400
## 1058 0.703 0.351
## 1059 0.703 0.346
## 1060 0.702 0.216
## 1061 0.702 0.199
## 1062 0.702 0.155
## 1063 0.702 0.172
## 1064 0.702 0.161
## 1065 0.702 0.319
## 1066 0.701 0.336
## 1067 0.701 0.260
## 1068 0.701 0.230
## 1069 0.701 0.322
## 1070 0.701 0.241
## 1071 0.701 0.226
## 1072 0.700 0.166
## 1073 0.700 0.348
## 1074 0.700 0.114
## 1075 0.699 0.207
## 1076 0.699 0.425
## 1077 0.698 0.434
## 1078 0.698 0.244
## 1079 0.698 0.409
## 1080 0.698 0.357
## 1081 0.698 0.277
## 1082 0.698 0.166
## 1083 0.697 0.267
## 1084 0.697 0.256
## 1085 0.697 0.379
## 1086 0.697 0.375
## 1087 0.697 0.420
## 1088 0.697 0.244
## 1089 0.697 0.209
## 1090 0.696 0.280
## 1091 0.696 0.308
## 1092 0.696 0.320
## 1093 0.696 0.240
## 1094 0.696 0.124
## 1095 0.696 0.372
## 1096 0.695 0.385
## 1097 0.695 0.346
## 1098 0.695 0.327
## 1099 0.695 0.154
## 1100 0.695 0.118
## 1101 0.695 0.303
## 1102 0.695 0.316
## 1103 0.695 0.220
## 1104 0.695 0.154
## 1105 0.694 0.439
## 1106 0.694 0.171
## 1107 0.694 0.258
## 1108 0.694 0.133
## 1109 0.694 0.246
## 1110 0.693 0.413
## 1111 0.693 0.340
## 1112 0.693 0.162
## 1113 0.693 0.385
## 1114 0.692 0.389
## 1115 0.692 0.264
## 1116 0.692 0.329
## 1117 0.692 0.149
## 1118 0.692 0.203
## 1119 0.692 0.307
## 1120 0.692 0.260
## 1121 0.692 0.153
## 1122 0.692 0.191
## 1123 0.692 0.327
## 1124 0.691 0.365
## 1125 0.691 0.211
## 1126 0.691 0.182
## 1127 0.691 0.200
## 1128 0.691 0.345
## 1129 0.690 0.172
## 1130 0.690 0.265
## 1131 0.690 0.305
## 1132 0.690 0.194
## 1133 0.690 0.246
## 1134 0.690 0.226
## 1135 0.690 0.382
## 1136 0.689 0.190
## 1137 0.689 0.482
## 1138 0.689 0.181
## 1139 0.689 0.196
## 1140 0.688 0.350
## 1141 0.688 0.226
## 1142 0.688 0.315
## 1143 0.688 0.151
## 1144 0.688 0.285
## 1145 0.688 0.392
## 1146 0.687 0.374
## 1147 0.687 0.199
## 1148 0.687 0.526
## 1149 0.687 0.355
## 1150 0.687 0.281
## 1151 0.687 0.246
## 1152 0.686 0.252
## 1153 0.686 0.217
## 1154 0.686 0.317
## 1155 0.686 0.271
## 1156 0.685 0.335
## 1157 0.685 0.423
## 1158 0.685 0.235
## 1159 0.685 0.473
## 1160 0.685 0.339
## 1161 0.685 0.390
## 1162 0.685 0.216
## 1163 0.685 0.387
## 1164 0.684 0.322
## 1165 0.684 0.243
## 1166 0.684 0.286
## 1167 0.684 0.150
## 1168 0.684 0.326
## 1169 0.684 0.236
## 1170 0.683 0.301
## 1171 0.683 0.240
## 1172 0.683 0.310
## 1173 0.682 0.270
## 1174 0.682 0.318
## 1175 0.682 0.386
## 1176 0.682 0.164
## 1177 0.682 0.218
## 1178 0.682 0.204
## 1179 0.681 0.274
## 1180 0.681 0.268
## 1181 0.681 0.151
## 1182 0.681 0.109
## 1183 0.681 0.397
## 1184 0.680 0.203
## 1185 0.680 0.330
## 1186 0.680 0.355
## 1187 0.680 0.180
## 1188 0.680 0.165
## 1189 0.679 0.265
## 1190 0.679 0.362
## 1191 0.679 0.295
## 1192 0.679 0.129
## 1193 0.679 0.318
## 1194 0.679 0.130
## 1195 0.679 0.228
## 1196 0.679 0.195
## 1197 0.678 0.235
## 1198 0.678 0.205
## 1199 0.678 0.258
## 1200 0.678 0.112
## 1201 0.678 0.308
## 1202 0.678 0.254
## 1203 0.677 0.285
## 1204 0.677 0.203
## 1205 0.677 0.170
## 1206 0.676 0.201
## 1207 0.676 0.189
## 1208 0.676 0.233
## 1209 0.676 0.346
## 1210 0.675 0.322
## 1211 0.675 0.290
## 1212 0.675 0.160
## 1213 0.675 0.214
## 1214 0.675 0.325
## 1215 0.674 0.245
## 1216 0.674 0.259
## 1217 0.674 0.276
## 1218 0.674 0.425
## 1219 0.674 0.164
## 1220 0.673 0.247
## 1221 0.673 0.199
## 1222 0.673 0.252
## 1223 0.672 0.167
## 1224 0.672 0.256
## 1225 0.672 0.226
## 1226 0.671 0.198
## 1227 0.671 0.295
## 1228 0.670 0.223
## 1229 0.670 0.388
## 1230 0.670 0.311
## 1231 0.670 0.222
## 1232 0.669 0.334
## 1233 0.669 0.252
## 1234 0.669 0.331
## 1235 0.669 0.185
## 1236 0.669 0.221
## 1237 0.669 0.177
## 1238 0.668 0.137
## 1239 0.668 0.305
## 1240 0.668 0.236
## 1241 0.668 0.253
## 1242 0.668 0.391
## 1243 0.668 0.410
## 1244 0.667 0.173
## 1245 0.667 0.268
## 1246 0.666 0.363
## 1247 0.666 0.176
## 1248 0.666 0.255
## 1249 0.666 0.243
## 1250 0.666 0.277
## 1251 0.665 0.355
## 1252 0.665 0.319
## 1253 0.665 0.332
## 1254 0.665 0.154
## 1255 0.665 0.218
## 1256 0.664 0.213
## 1257 0.664 0.228
## 1258 0.664 0.347
## 1259 0.664 0.206
## 1260 0.663 0.200
## 1261 0.663 0.282
## 1262 0.663 0.276
## 1263 0.663 0.316
## 1264 0.662 0.367
## 1265 0.662 0.232
## 1266 0.662 0.130
## 1267 0.661 0.377
## 1268 0.661 0.323
## 1269 0.661 0.262
## 1270 0.661 0.217
## 1271 0.661 0.265
## 1272 0.660 0.272
## 1273 0.660 0.313
## 1274 0.660 0.436
## 1275 0.660 0.202
## 1276 0.660 0.370
## 1277 0.659 0.361
## 1278 0.659 0.441
## 1279 0.659 0.552
## 1280 0.659 0.261
## 1281 0.659 0.357
## 1282 0.658 0.371
## 1283 0.658 0.266
## 1284 0.657 0.357
## 1285 0.657 0.371
## 1286 0.656 0.276
## 1287 0.656 0.251
## 1288 0.656 0.235
## 1289 0.656 0.302
## 1290 0.656 0.284
## 1291 0.656 0.168
## 1292 0.656 0.196
## 1293 0.655 0.316
## 1294 0.655 0.215
## 1295 0.655 0.237
## 1296 0.655 0.159
## 1297 0.655 0.130
## 1298 0.655 0.321
## 1299 0.654 0.234
## 1300 0.654 0.231
## 1301 0.654 0.192
## 1302 0.654 0.331
## 1303 0.653 0.208
## 1304 0.653 0.283
## 1305 0.653 0.301
## 1306 0.652 0.315
## 1307 0.652 0.226
## 1308 0.652 0.352
## 1309 0.652 0.307
## 1310 0.652 0.285
## 1311 0.652 0.327
## 1312 0.651 0.281
## 1313 0.651 0.346
## 1314 0.651 0.205
## 1315 0.651 0.238
## 1316 0.651 0.179
## 1317 0.651 0.372
## 1318 0.651 0.338
## 1319 0.651 0.395
## 1320 0.650 0.123
## 1321 0.650 0.194
## 1322 0.650 0.208
## 1323 0.650 0.244
## 1324 0.649 0.254
## 1325 0.649 0.403
## 1326 0.649 0.179
## 1327 0.649 0.294
## 1328 0.648 0.300
## 1329 0.648 0.232
## 1330 0.648 0.466
## 1331 0.648 0.353
## 1332 0.648 0.248
## 1333 0.648 0.332
## 1334 0.648 0.383
## 1335 0.648 0.251
## 1336 0.647 0.260
## 1337 0.647 0.468
## 1338 0.647 0.277
## 1339 0.647 0.199
## 1340 0.647 0.291
## 1341 0.646 0.222
## 1342 0.645 0.405
## 1343 0.645 0.520
## 1344 0.645 0.265
## 1345 0.645 0.190
## 1346 0.645 0.297
## 1347 0.645 0.335
## 1348 0.644 0.325
## 1349 0.644 0.532
## 1350 0.644 0.346
## 1351 0.644 0.277
## 1352 0.644 0.275
## 1353 0.644 0.220
## 1354 0.643 0.164
## 1355 0.643 0.277
## 1356 0.643 0.214
## 1357 0.643 0.213
## 1358 0.643 0.343
## 1359 0.643 0.152
## 1360 0.643 0.221
## 1361 0.643 0.239
## 1362 0.643 0.192
## 1363 0.643 0.225
## 1364 0.642 0.289
## 1365 0.642 0.356
## 1366 0.642 0.339
## 1367 0.642 0.305
## 1368 0.642 0.227
## 1369 0.642 0.422
## 1370 0.642 0.346
## 1371 0.642 0.232
## 1372 0.641 0.304
## 1373 0.641 0.164
## 1374 0.641 0.244
## 1375 0.641 0.418
## 1376 0.641 0.312
## 1377 0.641 0.303
## 1378 0.641 0.240
## 1379 0.640 0.279
## 1380 0.640 0.432
## 1381 0.640 0.201
## 1382 0.640 0.185
## 1383 0.640 0.397
## 1384 0.640 0.329
## 1385 0.640 0.247
## 1386 0.640 0.296
## 1387 0.639 0.189
## 1388 0.639 0.215
## 1389 0.639 0.292
## 1390 0.639 0.349
## 1391 0.639 0.122
## 1392 0.638 0.416
## 1393 0.638 0.286
## 1394 0.637 0.272
## 1395 0.637 0.268
## 1396 0.637 0.272
## 1397 0.637 0.307
## 1398 0.637 0.287
## 1399 0.636 0.206
## 1400 0.636 0.509
## 1401 0.636 0.389
## 1402 0.636 0.260
## 1403 0.636 0.142
## 1404 0.636 0.255
## 1405 0.636 0.208
## 1406 0.635 0.313
## 1407 0.635 0.226
## 1408 0.635 0.249
## 1409 0.635 0.266
## 1410 0.635 0.274
## 1411 0.635 0.392
## 1412 0.634 0.338
## 1413 0.634 0.230
## 1414 0.634 0.446
## 1415 0.634 0.292
## 1416 0.634 0.240
## 1417 0.634 0.201
## 1418 0.633 0.238
## 1419 0.633 0.260
## 1420 0.632 0.377
## 1421 0.631 0.283
## 1422 0.631 0.328
## 1423 0.631 0.262
## 1424 0.631 0.250
## 1425 0.630 0.287
## 1426 0.630 0.386
## 1427 0.629 0.292
## 1428 0.629 0.326
## 1429 0.629 0.351
## 1430 0.629 0.295
## 1431 0.629 0.263
## 1432 0.629 0.279
## 1433 0.628 0.257
## 1434 0.628 0.236
## 1435 0.628 0.538
## 1436 0.628 0.392
## 1437 0.628 0.358
## 1438 0.628 0.381
## 1439 0.627 0.170
## 1440 0.627 0.370
## 1441 0.626 0.177
## 1442 0.626 0.219
## 1443 0.626 0.372
## 1444 0.626 0.361
## 1445 0.626 0.272
## 1446 0.625 0.437
## 1447 0.625 0.245
## 1448 0.625 0.400
## 1449 0.625 0.414
## 1450 0.625 0.302
## 1451 0.624 0.345
## 1452 0.623 0.278
## 1453 0.623 0.216
## 1454 0.623 0.147
## 1455 0.623 0.232
## 1456 0.623 0.423
## 1457 0.623 0.327
## 1458 0.623 0.280
## 1459 0.623 0.193
## 1460 0.623 0.235
## 1461 0.622 0.172
## 1462 0.622 0.271
## 1463 0.622 0.443
## 1464 0.622 0.249
## 1465 0.621 0.273
## 1466 0.621 0.288
## 1467 0.621 0.243
## 1468 0.621 0.254
## 1469 0.621 0.275
## 1470 0.621 0.380
## 1471 0.620 0.299
## 1472 0.620 0.291
## 1473 0.619 0.242
## 1474 0.619 0.246
## 1475 0.619 0.209
## 1476 0.619 0.333
## 1477 0.619 0.287
## 1478 0.619 0.255
## 1479 0.619 0.192
## 1480 0.618 0.275
## 1481 0.618 0.284
## 1482 0.618 0.512
## 1483 0.617 0.208
## 1484 0.616 0.337
## 1485 0.616 0.379
## 1486 0.615 0.458
## 1487 0.615 0.286
## 1488 0.615 0.549
## 1489 0.615 0.348
## 1490 0.615 0.221
## 1491 0.614 0.189
## 1492 0.614 0.256
## 1493 0.614 0.599
## 1494 0.614 0.245
## 1495 0.614 0.337
## 1496 0.614 0.215
## 1497 0.614 0.287
## 1498 0.614 0.428
## 1499 0.614 0.426
## 1500 0.614 0.345
## 1501 0.613 0.296
## 1502 0.613 0.332
## 1503 0.613 0.435
## 1504 0.612 0.212
## 1505 0.612 0.260
## 1506 0.612 0.378
## 1507 0.612 0.189
## 1508 0.611 0.267
## 1509 0.611 0.370
## 1510 0.611 0.295
## 1511 0.611 0.232
## 1512 0.611 0.174
## 1513 0.611 0.276
## 1514 0.610 0.291
## 1515 0.610 0.304
## 1516 0.610 0.344
## 1517 0.610 0.419
## 1518 0.610 0.314
## 1519 0.609 0.206
## 1520 0.609 0.305
## 1521 0.609 0.294
## 1522 0.609 0.257
## 1523 0.609 0.304
## 1524 0.609 0.210
## 1525 0.609 0.525
## 1526 0.609 0.312
## 1527 0.609 0.338
## 1528 0.609 0.222
## 1529 0.608 0.456
## 1530 0.608 0.256
## 1531 0.608 0.456
## 1532 0.608 0.228
## 1533 0.608 0.195
## 1534 0.608 0.446
## 1535 0.607 0.271
## 1536 0.607 0.206
## 1537 0.607 0.358
## 1538 0.607 0.259
## 1539 0.607 0.165
## 1540 0.606 0.271
## 1541 0.606 0.274
## 1542 0.606 0.261
## 1543 0.606 0.160
## 1544 0.605 0.269
## 1545 0.605 0.482
## 1546 0.605 0.365
## 1547 0.605 0.203
## 1548 0.604 0.230
## 1549 0.604 0.244
## 1550 0.604 0.271
## 1551 0.604 0.186
## 1552 0.604 0.483
## 1553 0.603 0.333
## 1554 0.603 0.325
## 1555 0.603 0.378
## 1556 0.603 0.411
## 1557 0.603 0.142
## 1558 0.603 0.251
## 1559 0.603 0.358
## 1560 0.603 0.278
## 1561 0.602 0.131
## 1562 0.601 0.253
## 1563 0.601 0.411
## 1564 0.601 0.165
## 1565 0.600 0.321
## 1566 0.600 0.312
## 1567 0.600 0.348
## 1568 0.600 0.449
## 1569 0.600 0.495
## 1570 0.599 0.382
## 1571 0.599 0.442
## 1572 0.599 0.358
## 1573 0.599 0.496
## 1574 0.599 0.416
## 1575 0.599 0.160
## 1576 0.598 0.430
## 1577 0.598 0.220
## 1578 0.598 0.191
## 1579 0.598 0.272
## 1580 0.598 0.273
## 1581 0.598 0.243
## 1582 0.598 0.169
## 1583 0.598 0.274
## 1584 0.598 0.316
## 1585 0.597 0.271
## 1586 0.597 0.218
## 1587 0.597 0.416
## 1588 0.597 0.235
## 1589 0.596 0.235
## 1590 0.596 0.326
## 1591 0.596 0.286
## 1592 0.596 0.236
## 1593 0.596 0.100
## 1594 0.596 0.344
## 1595 0.595 0.400
## 1596 0.595 0.200
## 1597 0.595 0.217
## 1598 0.595 0.276
## 1599 0.595 0.410
## 1600 0.594 0.438
## 1601 0.594 0.437
## 1602 0.594 0.226
## 1603 0.594 0.250
## 1604 0.594 0.365
## 1605 0.594 0.369
## 1606 0.594 0.166
## 1607 0.594 0.249
## 1608 0.593 0.191
## 1609 0.593 0.250
## 1610 0.593 0.284
## 1611 0.593 0.327
## 1612 0.593 0.378
## 1613 0.592 0.198
## 1614 0.592 0.373
## 1615 0.592 0.243
## 1616 0.592 0.365
## 1617 0.592 0.379
## 1618 0.591 0.293
## 1619 0.591 0.190
## 1620 0.591 0.289
## 1621 0.591 0.264
## 1622 0.591 0.323
## 1623 0.591 0.337
## 1624 0.591 0.366
## 1625 0.590 0.273
## 1626 0.590 0.217
## 1627 0.590 0.285
## 1628 0.590 0.281
## 1629 0.590 0.355
## 1630 0.590 0.298
## 1631 0.590 0.444
## 1632 0.590 0.254
## 1633 0.590 0.220
## 1634 0.589 0.381
## 1635 0.589 0.187
## 1636 0.589 0.301
## 1637 0.589 0.279
## 1638 0.589 0.410
## 1639 0.589 0.171
## 1640 0.589 0.220
## 1641 0.588 0.448
## 1642 0.588 0.363
## 1643 0.588 0.248
## 1644 0.588 0.206
## 1645 0.587 0.309
## 1646 0.587 0.460
## 1647 0.587 0.368
## 1648 0.587 0.256
## 1649 0.587 0.384
## 1650 0.586 0.337
## 1651 0.586 0.365
## 1652 0.586 0.173
## 1653 0.586 0.308
## 1654 0.586 0.450
## 1655 0.586 0.517
## 1656 0.586 0.249
## 1657 0.585 0.215
## 1658 0.585 0.354
## 1659 0.585 0.192
## 1660 0.585 0.261
## 1661 0.585 0.295
## 1662 0.585 0.439
## 1663 0.584 0.237
## 1664 0.584 0.184
## 1665 0.584 0.303
## 1666 0.584 0.359
## 1667 0.584 0.292
## 1668 0.584 0.284
## 1669 0.584 0.278
## 1670 0.584 0.456
## 1671 0.584 0.117
## 1672 0.583 0.231
## 1673 0.583 0.260
## 1674 0.583 0.443
## 1675 0.583 0.189
## 1676 0.583 0.190
## 1677 0.583 0.374
## 1678 0.582 0.332
## 1679 0.582 0.468
## 1680 0.582 0.290
## 1681 0.582 0.470
## 1682 0.582 0.261
## 1683 0.582 0.270
## 1684 0.582 0.290
## 1685 0.582 0.308
## 1686 0.581 0.404
## 1687 0.581 0.455
## 1688 0.581 0.210
## 1689 0.581 0.352
## 1690 0.581 0.277
## 1691 0.581 0.294
## 1692 0.581 0.259
## 1693 0.581 0.424
## 1694 0.580 0.263
## 1695 0.580 0.337
## 1696 0.579 0.368
## 1697 0.579 0.205
## 1698 0.579 0.359
## 1699 0.579 0.494
## 1700 0.579 0.181
## 1701 0.579 0.340
## 1702 0.578 0.227
## 1703 0.578 0.359
## 1704 0.578 0.320
## 1705 0.578 0.331
## 1706 0.576 0.370
## 1707 0.576 0.304
## 1708 0.576 0.334
## 1709 0.576 0.242
## 1710 0.575 0.212
## 1711 0.575 0.329
## 1712 0.574 0.564
## 1713 0.574 0.379
## 1714 0.574 0.292
## 1715 0.574 0.241
## 1716 0.573 0.237
## 1717 0.573 0.298
## 1718 0.573 0.244
## 1719 0.573 0.322
## 1720 0.573 0.320
## 1721 0.573 0.186
## 1722 0.572 0.390
## 1723 0.571 0.306
## 1724 0.571 0.203
## 1725 0.571 0.376
## 1726 0.571 0.403
## 1727 0.570 0.204
## 1728 0.570 0.275
## 1729 0.570 0.215
## 1730 0.570 0.334
## 1731 0.570 0.193
## 1732 0.569 0.214
## 1733 0.569 0.225
## 1734 0.568 0.330
## 1735 0.568 0.243
## 1736 0.568 0.285
## 1737 0.568 0.314
## 1738 0.567 0.208
## 1739 0.567 0.276
## 1740 0.567 0.314
## 1741 0.567 0.377
## 1742 0.567 0.388
## 1743 0.566 0.223
## 1744 0.566 0.276
## 1745 0.566 0.412
## 1746 0.566 0.169
## 1747 0.566 0.195
## 1748 0.565 0.348
## 1749 0.565 0.345
## 1750 0.565 0.380
## 1751 0.564 0.323
## 1752 0.564 0.223
## 1753 0.564 0.340
## 1754 0.563 0.222
## 1755 0.562 0.450
## 1756 0.562 0.306
## 1757 0.560 0.235
## 1758 0.560 0.232
## 1759 0.559 0.305
## 1760 0.559 0.250
## 1761 0.559 0.267
## 1762 0.559 0.323
## 1763 0.559 0.296
## 1764 0.558 0.305
## 1765 0.558 0.225
## 1766 0.558 0.266
## 1767 0.557 0.221
## 1768 0.557 NA
## 1769 0.556 0.343
## 1770 0.555 0.293
## 1771 0.554 0.339
## 1772 0.554 0.266
## 1773 0.554 0.182
## 1774 0.553 0.246
## 1775 0.553 0.544
## 1776 0.553 0.367
## 1777 0.553 0.493
## 1778 0.553 0.263
## 1779 0.552 0.466
## 1780 0.551 0.404
## 1781 0.551 0.269
## 1782 0.551 0.483
## 1783 0.550 0.255
## 1784 0.548 0.338
## 1785 0.548 0.320
## 1786 0.548 0.270
## 1787 0.547 0.233
## 1788 0.546 0.238
## 1789 0.545 0.300
## 1790 0.545 0.287
## 1791 0.545 0.410
## 1792 0.544 0.234
## 1793 0.544 0.514
## 1794 0.544 0.315
## 1795 0.544 0.466
## 1796 0.544 0.435
## 1797 0.543 0.411
## 1798 0.543 0.327
## 1799 0.543 0.443
## 1800 0.543 0.358
## 1801 0.543 0.294
## 1802 0.543 0.213
## 1803 0.542 0.431
## 1804 0.541 0.361
## 1805 0.541 0.233
## 1806 0.541 0.303
## 1807 0.539 0.414
## 1808 0.539 0.293
## 1809 0.539 0.331
## 1810 0.539 0.433
## 1811 0.538 0.327
## 1812 0.537 0.369
## 1813 0.537 0.348
## 1814 0.537 0.387
## 1815 0.536 0.258
## 1816 0.536 0.329
## 1817 0.536 0.357
## 1818 0.536 0.223
## 1819 0.535 0.298
## 1820 0.534 0.286
## 1821 0.534 0.271
## 1822 0.534 0.370
## 1823 0.533 0.276
## 1824 0.532 0.375
## 1825 0.532 0.415
## 1826 0.532 0.193
## 1827 0.531 0.262
## 1828 0.529 0.353
## 1829 0.529 0.403
## 1830 0.528 0.401
## 1831 0.527 0.272
## 1832 0.527 0.316
## 1833 0.527 0.398
## 1834 0.527 0.365
## 1835 0.526 0.271
## 1836 0.525 0.448
## 1837 0.525 0.242
## 1838 0.525 0.341
## 1839 0.524 0.277
## 1840 0.523 0.181
## 1841 0.523 0.304
## 1842 0.523 0.257
## 1843 0.523 0.404
## 1844 0.521 0.385
## 1845 0.521 0.284
## 1846 0.521 0.249
## 1847 0.521 0.423
## 1848 0.521 0.327
## 1849 0.521 0.350
## 1850 0.519 0.350
## 1851 0.518 0.258
## 1852 0.518 0.464
## 1853 0.517 0.409
## 1854 0.517 0.313
## 1855 0.517 0.214
## 1856 0.517 0.239
## 1857 0.515 0.247
## 1858 0.515 0.244
## 1859 0.514 0.371
## 1860 0.514 0.290
## 1861 0.513 0.438
## 1862 0.513 0.227
## 1863 0.512 0.276
## 1864 0.510 0.426
## 1865 0.510 0.287
## 1866 0.510 0.235
## 1867 0.510 0.326
## 1868 0.510 0.183
## 1869 0.509 0.242
## 1870 0.507 0.412
## 1871 0.507 0.321
## 1872 0.505 0.591
## 1873 0.505 0.388
## 1874 0.505 0.381
## 1875 0.503 0.321
## 1876 0.503 0.285
## 1877 0.502 0.243
## 1878 0.502 0.299
## 1879 0.502 0.263
## 1880 0.500 0.208
## 1881 0.499 0.339
## 1882 0.499 0.409
## 1883 0.498 0.326
## 1884 0.497 0.431
## 1885 0.496 0.371
## 1886 0.496 0.303
## 1887 0.494 0.469
## 1888 0.494 0.296
## 1889 0.492 0.285
## 1890 0.492 0.242
## 1891 0.491 0.283
## 1892 0.490 0.581
## 1893 0.489 0.570
## 1894 0.488 0.557
## 1895 0.483 0.144
## 1896 0.483 0.377
## 1897 0.480 0.262
## 1898 0.480 0.395
## 1899 0.475 0.459
## 1900 0.473 0.272
## 1901 0.470 0.266
## 1902 0.469 0.228
## 1903 0.465 0.390
## 1904 0.464 0.271
## 1905 0.464 0.705
## 1906 0.462 0.314
## 1907 0.461 0.315
## 1908 0.460 0.382
## 1909 0.455 0.295
## 1910 0.450 0.236
## 1911 0.450 0.313
## 1912 0.446 0.300
## 1913 0.441 0.262
## 1914 0.440 0.253
## 1915 0.435 0.351
## 1916 0.433 0.269
## 1917 0.427 0.236
## 1918 0.424 0.405
## 1919 0.423 0.449
## 1920 0.422 0.368
## 1921 0.421 0.377
## 1922 0.387 0.622
## 1923 0.384 0.440
## 1924 0.369 0.643
## 1925 0.362 0.379
## 1926 0.351 0.502
## 1927 0.322 0.494
## 1928 NA NA
## 1929 NA NA
## 1930 NA 0.231
## 1931 NA 0.246
## 1932 NA 0.320
## 1933 NA NA
## 1934 NA 0.554
## 1935 NA NA
## 1936 NA NA
## 1937 NA NA
## 1938 NA 0.318
## 1939 NA NA
## 1940 NA NA
## 1941 NA NA
## 1942 NA 0.295
## 1943 NA 0.237
## 1944 NA NA
## 1945 NA NA
## 1946 NA NA
## 1947 NA 0.291
## 1948 NA NA
## 1949 NA NAdf %>% slice(15:20)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Albania 2010 5.269 9.303 0.733
## 2 Albania 2011 5.867 9.331 0.759
## 3 Albania 2012 5.510 9.347 0.785
## 4 Albania 2013 4.551 9.359 0.759
## 5 Albania 2014 4.814 9.378 0.626
## 6 Albania 2015 4.607 9.403 0.639
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 66.40 0.569 -0.172
## 2 66.68 0.487 -0.205
## 3 66.96 0.602 -0.169
## 4 67.24 0.632 -0.127
## 5 67.52 0.735 -0.025
## 6 67.80 0.704 -0.081
## Perceptions.of.corruption Positive.affect Negative.affect
## 1 0.726 0.648 0.300
## 2 0.877 0.628 0.257
## 3 0.848 0.607 0.271
## 4 0.863 0.634 0.338
## 5 0.883 0.685 0.335
## 6 0.885 0.688 0.350df %>% slice_head(n = 3)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 2 Afghanistan 2009 4.402 7.540 0.552
## 3 Afghanistan 2010 4.758 7.647 0.539
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.8 0.718 0.168
## 2 51.2 0.679 0.190
## 3 51.6 0.600 0.121
## Perceptions.of.corruption Positive.affect Negative.affect
## 1 0.882 0.518 0.258
## 2 0.850 0.584 0.237
## 3 0.707 0.618 0.275df %>% slice_tail(n = 3)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Zimbabwe 2018 3.616 8.049 0.775
## 2 Zimbabwe 2019 2.694 7.950 0.759
## 3 Zimbabwe 2020 3.160 7.829 0.717
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 55.6 0.763 -0.068
## 2 56.2 0.632 -0.064
## 3 56.8 0.643 -0.009
## Perceptions.of.corruption Positive.affect Negative.affect
## 1 0.844 0.710 0.212
## 2 0.831 0.716 0.235
## 3 0.789 0.703 0.346df %>% slice_sample(n = 5)## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Bangladesh 2017 4.310 8.334 0.713
## 2 Luxembourg 2019 7.404 11.648 0.912
## 3 Netherlands 2015 7.324 10.882 0.879
## 4 Congo (Brazzaville) 2018 5.490 8.136 0.621
## 5 Gabon 2016 4.832 9.639 0.780
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 63.8 0.896 0.012
## 2 72.6 0.930 -0.045
## 3 72.0 0.904 0.261
## 4 57.9 0.699 -0.092
## 5 58.7 0.699 -0.204
## Perceptions.of.corruption Positive.affect Negative.affect
## 1 0.635 0.569 0.214
## 2 0.390 0.789 0.212
## 3 0.412 0.834 0.202
## 4 0.738 0.588 0.448
## 5 0.817 0.640 0.432df %>% mutate(Healthy.life.expectancy.at.birth_new = Healthy.life.expectancy.at.birth/10)## ï..Country.name year Life.Ladder Log.GDP.per.capita
## 1 Afghanistan 2008 3.724 7.370
## 2 Afghanistan 2009 4.402 7.540
## 3 Afghanistan 2010 4.758 7.647
## 4 Afghanistan 2011 3.832 7.620
## 5 Afghanistan 2012 3.783 7.705
## 6 Afghanistan 2013 3.572 7.725
## 7 Afghanistan 2014 3.131 7.718
## 8 Afghanistan 2015 3.983 7.702
## 9 Afghanistan 2016 4.220 7.697
## 10 Afghanistan 2017 2.662 7.697
## 11 Afghanistan 2018 2.694 7.692
## 12 Afghanistan 2019 2.375 7.697
## 13 Albania 2007 4.634 9.142
## 14 Albania 2009 5.485 9.262
## 15 Albania 2010 5.269 9.303
## 16 Albania 2011 5.867 9.331
## 17 Albania 2012 5.510 9.347
## 18 Albania 2013 4.551 9.359
## 19 Albania 2014 4.814 9.378
## 20 Albania 2015 4.607 9.403
## 21 Albania 2016 4.511 9.437
## 22 Albania 2017 4.640 9.476
## 23 Albania 2018 5.004 9.518
## 24 Albania 2019 4.995 9.544
## 25 Albania 2020 5.365 9.497
## 26 Algeria 2010 5.464 9.287
## 27 Algeria 2011 5.317 9.297
## 28 Algeria 2012 5.605 9.311
## 29 Algeria 2014 6.355 9.335
## 30 Algeria 2016 5.341 9.362
## 31 Algeria 2017 5.249 9.354
## 32 Algeria 2018 5.043 9.348
## 33 Algeria 2019 4.745 9.337
## 34 Angola 2011 5.589 8.946
## 35 Angola 2012 4.360 8.992
## 36 Angola 2013 3.937 9.005
## 37 Angola 2014 3.795 9.017
## 38 Argentina 2006 6.313 9.942
## 39 Argentina 2007 6.073 10.018
## 40 Argentina 2008 5.961 10.048
## 41 Argentina 2009 6.424 9.977
## 42 Argentina 2010 6.441 10.066
## 43 Argentina 2011 6.776 10.112
## 44 Argentina 2012 6.468 10.091
## 45 Argentina 2013 6.582 10.103
## 46 Argentina 2014 6.671 10.067
## 47 Argentina 2015 6.697 10.083
## 48 Argentina 2016 6.427 10.051
## 49 Argentina 2017 6.039 10.067
## 50 Argentina 2018 5.793 10.032
## 51 Argentina 2019 6.086 10.000
## 52 Argentina 2020 5.901 9.850
## 53 Armenia 2006 4.289 9.044
## 54 Armenia 2007 4.882 9.181
## 55 Armenia 2008 4.652 9.256
## 56 Armenia 2009 4.178 9.111
## 57 Armenia 2010 4.368 9.136
## 58 Armenia 2011 4.260 9.182
## 59 Armenia 2012 4.320 9.249
## 60 Armenia 2013 4.277 9.277
## 61 Armenia 2014 4.453 9.307
## 62 Armenia 2015 4.348 9.334
## 63 Armenia 2016 4.325 9.333
## 64 Armenia 2017 4.288 9.402
## 65 Armenia 2018 5.062 9.451
## 66 Armenia 2019 5.488 9.522
## 67 Australia 2005 7.341 10.659
## 68 Australia 2007 7.285 10.703
## 69 Australia 2008 7.254 10.719
## 70 Australia 2010 7.450 10.722
## 71 Australia 2011 7.406 10.733
## 72 Australia 2012 7.196 10.754
## 73 Australia 2013 7.364 10.762
## 74 Australia 2014 7.289 10.772
## 75 Australia 2015 7.309 10.779
## 76 Australia 2016 7.250 10.791
## 77 Australia 2017 7.257 10.798
## 78 Australia 2018 7.177 10.811
## 79 Australia 2019 7.234 10.815
## 80 Australia 2020 7.137 10.760
## 81 Austria 2006 7.122 10.842
## 82 Austria 2008 7.181 10.887
## 83 Austria 2010 7.303 10.861
## 84 Austria 2011 7.471 10.887
## 85 Austria 2012 7.401 10.889
## 86 Austria 2013 7.499 10.883
## 87 Austria 2014 6.950 10.882
## 88 Austria 2015 7.076 10.881
## 89 Austria 2016 7.048 10.891
## 90 Austria 2017 7.294 10.908
## 91 Austria 2018 7.396 10.928
## 92 Austria 2019 7.195 10.939
## 93 Austria 2020 7.213 10.851
## 94 Azerbaijan 2006 4.728 9.170
## 95 Azerbaijan 2007 4.568 9.386
## 96 Azerbaijan 2008 4.817 9.465
## 97 Azerbaijan 2009 4.574 9.534
## 98 Azerbaijan 2010 4.219 9.569
## 99 Azerbaijan 2011 4.680 9.540
## 100 Azerbaijan 2012 4.911 9.549
## 101 Azerbaijan 2013 5.481 9.592
## 102 Azerbaijan 2014 5.252 9.607
## 103 Azerbaijan 2015 5.147 9.606
## 104 Azerbaijan 2016 5.304 9.564
## 105 Azerbaijan 2017 5.152 9.555
## 106 Azerbaijan 2018 5.168 9.562
## 107 Azerbaijan 2019 5.173 9.575
## 108 Bahrain 2009 5.701 10.709
## 109 Bahrain 2010 5.937 10.706
## 110 Bahrain 2011 4.824 10.696
## 111 Bahrain 2012 5.027 10.716
## 112 Bahrain 2013 6.690 10.757
## 113 Bahrain 2014 6.165 10.783
## 114 Bahrain 2015 6.007 10.785
## 115 Bahrain 2016 6.170 10.781
## 116 Bahrain 2017 6.227 10.771
## 117 Bahrain 2019 7.098 10.715
## 118 Bahrain 2020 6.173 10.620
## 119 Bangladesh 2006 4.319 7.783
## 120 Bangladesh 2007 4.607 7.839
## 121 Bangladesh 2008 5.052 7.886
## 122 Bangladesh 2009 5.083 7.924
## 123 Bangladesh 2010 4.858 7.967
## 124 Bangladesh 2011 4.986 8.018
## 125 Bangladesh 2012 4.724 8.070
## 126 Bangladesh 2013 4.660 8.116
## 127 Bangladesh 2014 4.636 8.164
## 128 Bangladesh 2015 4.633 8.216
## 129 Bangladesh 2016 4.556 8.274
## 130 Bangladesh 2017 4.310 8.334
## 131 Bangladesh 2018 4.499 8.399
## 132 Bangladesh 2019 5.114 8.467
## 133 Bangladesh 2020 5.280 8.472
## 134 Belarus 2006 5.658 9.489
## 135 Belarus 2007 5.617 9.576
## 136 Belarus 2008 5.463 9.677
## 137 Belarus 2009 5.564 9.681
## 138 Belarus 2010 5.526 9.758
## 139 Belarus 2011 5.225 9.812
## 140 Belarus 2012 5.749 9.830
## 141 Belarus 2013 5.876 9.839
## 142 Belarus 2014 5.812 9.856
## 143 Belarus 2015 5.719 9.815
## 144 Belarus 2016 5.178 9.788
## 145 Belarus 2017 5.553 9.814
## 146 Belarus 2018 5.234 9.846
## 147 Belarus 2019 5.821 9.860
## 148 Belgium 2005 7.262 10.745
## 149 Belgium 2007 7.219 10.792
## 150 Belgium 2008 7.117 10.789
## 151 Belgium 2010 6.854 10.779
## 152 Belgium 2011 7.111 10.783
## 153 Belgium 2012 6.935 10.784
## 154 Belgium 2013 7.104 10.784
## 155 Belgium 2014 6.855 10.795
## 156 Belgium 2015 6.904 10.810
## 157 Belgium 2016 6.949 10.819
## 158 Belgium 2017 6.928 10.834
## 159 Belgium 2018 6.892 10.844
## 160 Belgium 2019 6.772 10.853
## 161 Belgium 2020 6.839 10.771
## 162 Belize 2007 6.451 8.892
## 163 Belize 2014 5.956 8.883
## 164 Benin 2006 3.330 7.866
## 165 Benin 2008 3.667 7.915
## 166 Benin 2011 3.870 7.904
## 167 Benin 2012 3.193 7.923
## 168 Benin 2013 3.479 7.964
## 169 Benin 2014 3.347 7.998
## 170 Benin 2015 3.625 7.988
## 171 Benin 2016 4.007 7.993
## 172 Benin 2017 4.853 8.021
## 173 Benin 2018 5.820 8.059
## 174 Benin 2019 4.976 8.098
## 175 Benin 2020 4.408 8.102
## 176 Bhutan 2013 5.569 9.123
## 177 Bhutan 2014 4.939 9.167
## 178 Bhutan 2015 5.082 9.219
## 179 Bolivia 2006 5.374 8.686
## 180 Bolivia 2007 5.628 8.714
## 181 Bolivia 2008 5.298 8.756
## 182 Bolivia 2009 6.086 8.773
## 183 Bolivia 2010 5.781 8.797
## 184 Bolivia 2011 5.779 8.831
## 185 Bolivia 2012 6.019 8.865
## 186 Bolivia 2013 5.767 8.915
## 187 Bolivia 2014 5.865 8.953
## 188 Bolivia 2015 5.834 8.985
## 189 Bolivia 2016 5.770 9.012
## 190 Bolivia 2017 5.651 9.039
## 191 Bolivia 2018 5.916 9.066
## 192 Bolivia 2019 5.674 9.074
## 193 Bolivia 2020 5.559 8.998
## 194 Bosnia and Herzegovina 2007 4.900 9.267
## 195 Bosnia and Herzegovina 2009 4.963 9.296
## 196 Bosnia and Herzegovina 2010 4.669 9.312
## 197 Bosnia and Herzegovina 2011 4.995 9.333
## 198 Bosnia and Herzegovina 2012 4.773 9.342
## 199 Bosnia and Herzegovina 2013 5.124 9.382
## 200 Bosnia and Herzegovina 2014 5.249 9.411
## 201 Bosnia and Herzegovina 2015 5.117 9.457
## 202 Bosnia and Herzegovina 2016 5.181 9.500
## 203 Bosnia and Herzegovina 2017 5.090 9.532
## 204 Bosnia and Herzegovina 2018 5.887 9.576
## 205 Bosnia and Herzegovina 2019 6.016 9.609
## 206 Bosnia and Herzegovina 2020 5.516 9.583
## 207 Botswana 2006 4.739 9.492
## 208 Botswana 2008 5.451 9.590
## 209 Botswana 2010 3.553 9.556
## 210 Botswana 2011 3.520 9.600
## 211 Botswana 2012 4.836 9.632
## 212 Botswana 2013 4.128 9.728
## 213 Botswana 2014 4.031 9.756
## 214 Botswana 2015 3.762 9.724
## 215 Botswana 2016 3.499 9.748
## 216 Botswana 2017 3.505 9.756
## 217 Botswana 2018 3.461 9.778
## 218 Botswana 2019 3.471 9.785
## 219 Brazil 2005 6.637 9.438
## 220 Brazil 2007 6.321 9.515
## 221 Brazil 2008 6.691 9.555
## 222 Brazil 2009 7.001 9.544
## 223 Brazil 2010 6.837 9.607
## 224 Brazil 2011 7.038 9.637
## 225 Brazil 2012 6.660 9.647
## 226 Brazil 2013 7.140 9.668
## 227 Brazil 2014 6.981 9.664
## 228 Brazil 2015 6.547 9.620
## 229 Brazil 2016 6.375 9.578
## 230 Brazil 2017 6.333 9.583
## 231 Brazil 2018 6.191 9.589
## 232 Brazil 2019 6.451 9.592
## 233 Brazil 2020 6.110 9.522
## 234 Bulgaria 2007 3.844 9.715
## 235 Bulgaria 2010 3.912 9.765
## 236 Bulgaria 2011 3.875 9.795
## 237 Bulgaria 2012 4.222 9.804
## 238 Bulgaria 2013 3.993 9.813
## 239 Bulgaria 2014 4.438 9.838
## 240 Bulgaria 2015 4.865 9.883
## 241 Bulgaria 2016 4.838 9.928
## 242 Bulgaria 2017 5.097 9.969
## 243 Bulgaria 2018 5.099 10.007
## 244 Bulgaria 2019 5.108 10.047
## 245 Bulgaria 2020 5.598 9.991
## 246 Burkina Faso 2006 3.801 7.367
## 247 Burkina Faso 2007 4.017 7.377
## 248 Burkina Faso 2008 3.846 7.403
## 249 Burkina Faso 2010 4.036 7.453
## 250 Burkina Faso 2011 4.785 7.487
## 251 Burkina Faso 2012 3.955 7.520
## 252 Burkina Faso 2013 3.326 7.546
## 253 Burkina Faso 2014 3.481 7.559
## 254 Burkina Faso 2015 4.419 7.568
## 255 Burkina Faso 2016 4.206 7.596
## 256 Burkina Faso 2017 4.647 7.627
## 257 Burkina Faso 2018 4.927 7.665
## 258 Burkina Faso 2019 4.741 7.691
## 259 Burundi 2008 3.563 6.719
## 260 Burundi 2009 3.792 6.723
## 261 Burundi 2011 3.706 6.748
## 262 Burundi 2014 2.905 6.787
## 263 Burundi 2018 3.775 6.635
## 264 Cambodia 2006 3.569 7.746
## 265 Cambodia 2007 4.156 7.829
## 266 Cambodia 2008 4.462 7.879
## 267 Cambodia 2009 4.111 7.865
## 268 Cambodia 2010 4.141 7.907
## 269 Cambodia 2011 4.161 7.960
## 270 Cambodia 2012 3.899 8.014
## 271 Cambodia 2013 3.674 8.068
## 272 Cambodia 2014 3.883 8.121
## 273 Cambodia 2015 4.162 8.173
## 274 Cambodia 2016 4.461 8.225
## 275 Cambodia 2017 4.586 8.276
## 276 Cambodia 2018 5.122 8.333
## 277 Cambodia 2019 4.998 8.387
## 278 Cambodia 2020 4.377 8.362
## 279 Cameroon 2006 3.851 8.007
## 280 Cameroon 2007 4.350 8.028
## 281 Cameroon 2008 4.292 8.034
## 282 Cameroon 2009 4.741 8.029
## 283 Cameroon 2010 4.554 8.035
## 284 Cameroon 2011 4.434 8.048
## 285 Cameroon 2012 4.245 8.065
## 286 Cameroon 2013 4.271 8.090
## 287 Cameroon 2014 4.240 8.120
## 288 Cameroon 2015 5.038 8.149
## 289 Cameroon 2016 4.816 8.167
## 290 Cameroon 2017 5.074 8.176
## 291 Cameroon 2018 5.251 8.190
## 292 Cameroon 2019 4.937 8.203
## 293 Cameroon 2020 5.241 8.175
## 294 Canada 2005 7.418 10.652
## 295 Canada 2007 7.482 10.739
## 296 Canada 2008 7.486 10.738
## 297 Canada 2009 7.488 10.697
## 298 Canada 2010 7.650 10.717
## 299 Canada 2011 7.426 10.738
## 300 Canada 2012 7.415 10.744
## 301 Canada 2013 7.594 10.757
## 302 Canada 2014 7.304 10.775
## 303 Canada 2015 7.413 10.774
## 304 Canada 2016 7.245 10.773
## 305 Canada 2017 7.415 10.792
## 306 Canada 2018 7.175 10.798
## 307 Canada 2019 7.109 10.800
## 308 Canada 2020 7.025 10.730
## 309 Central African Republic 2007 4.160 6.987
## 310 Central African Republic 2010 3.568 7.091
## 311 Central African Republic 2011 3.678 7.125
## 312 Central African Republic 2016 2.693 6.785
## 313 Central African Republic 2017 3.476 6.817
## 314 Chad 2006 3.435 7.360
## 315 Chad 2007 4.141 7.359
## 316 Chad 2008 4.632 7.356
## 317 Chad 2009 3.639 7.364
## 318 Chad 2010 3.743 7.457
## 319 Chad 2011 4.393 7.425
## 320 Chad 2012 4.033 7.476
## 321 Chad 2013 3.508 7.498
## 322 Chad 2014 3.460 7.532
## 323 Chad 2015 4.323 7.527
## 324 Chad 2016 4.029 7.431
## 325 Chad 2017 4.559 7.370
## 326 Chad 2018 4.486 7.363
## 327 Chad 2019 4.251 7.365
## 328 Chile 2006 6.063 9.850
## 329 Chile 2007 5.698 9.887
## 330 Chile 2008 5.789 9.911
## 331 Chile 2009 6.494 9.885
## 332 Chile 2010 6.636 9.931
## 333 Chile 2011 6.526 9.980
## 334 Chile 2012 6.599 10.023
## 335 Chile 2013 6.740 10.053
## 336 Chile 2014 6.844 10.059
## 337 Chile 2015 6.533 10.070
## 338 Chile 2016 6.579 10.074
## 339 Chile 2017 6.320 10.072
## 340 Chile 2018 6.436 10.097
## 341 Chile 2019 5.942 10.095
## 342 Chile 2020 6.151 10.020
## 343 China 2006 4.560 8.696
## 344 China 2007 4.863 8.824
## 345 China 2008 4.846 8.911
## 346 China 2009 4.454 8.996
## 347 China 2010 4.653 9.092
## 348 China 2011 5.037 9.179
## 349 China 2012 5.095 9.249
## 350 China 2013 5.241 9.319
## 351 China 2014 5.196 9.386
## 352 China 2015 5.304 9.449
## 353 China 2016 5.325 9.510
## 354 China 2017 5.099 9.571
## 355 China 2018 5.131 9.632
## 356 China 2019 5.144 9.688
## 357 China 2020 5.771 9.702
## 358 Colombia 2006 6.025 9.277
## 359 Colombia 2007 6.138 9.330
## 360 Colombia 2008 6.168 9.351
## 361 Colombia 2009 6.272 9.351
## 362 Colombia 2010 6.408 9.384
## 363 Colombia 2011 6.464 9.442
## 364 Colombia 2012 6.375 9.471
## 365 Colombia 2013 6.607 9.512
## 366 Colombia 2014 6.449 9.546
## 367 Colombia 2015 6.388 9.564
## 368 Colombia 2016 6.234 9.571
## 369 Colombia 2017 6.157 9.569
## 370 Colombia 2018 5.984 9.579
## 371 Colombia 2019 6.350 9.598
## 372 Colombia 2020 5.709 9.495
## 373 Comoros 2009 3.476 7.952
## 374 Comoros 2010 3.812 7.965
## 375 Comoros 2011 3.838 7.981
## 376 Comoros 2012 3.956 7.988
## 377 Comoros 2018 3.973 8.028
## 378 Comoros 2019 4.609 8.033
## 379 Congo (Brazzaville) 2008 3.820 8.082
## 380 Congo (Brazzaville) 2011 4.510 8.180
## 381 Congo (Brazzaville) 2012 3.919 8.192
## 382 Congo (Brazzaville) 2013 3.955 8.201
## 383 Congo (Brazzaville) 2014 4.056 8.242
## 384 Congo (Brazzaville) 2015 4.691 8.243
## 385 Congo (Brazzaville) 2016 4.119 8.190
## 386 Congo (Brazzaville) 2017 4.884 8.146
## 387 Congo (Brazzaville) 2018 5.490 8.136
## 388 Congo (Brazzaville) 2019 5.213 8.101
## 389 Congo (Kinshasa) 2009 3.984 6.728
## 390 Congo (Kinshasa) 2011 4.517 6.797
## 391 Congo (Kinshasa) 2012 4.639 6.832
## 392 Congo (Kinshasa) 2013 4.497 6.880
## 393 Congo (Kinshasa) 2014 4.414 6.937
## 394 Congo (Kinshasa) 2015 3.903 6.971
## 395 Congo (Kinshasa) 2016 4.522 6.962
## 396 Congo (Kinshasa) 2017 4.311 6.966
## 397 Costa Rica 2006 7.082 9.565
## 398 Costa Rica 2007 7.432 9.630
## 399 Costa Rica 2008 6.851 9.662
## 400 Costa Rica 2009 7.615 9.639
## 401 Costa Rica 2010 7.271 9.675
## 402 Costa Rica 2011 7.229 9.705
## 403 Costa Rica 2012 7.272 9.740
## 404 Costa Rica 2013 7.158 9.751
## 405 Costa Rica 2014 7.247 9.775
## 406 Costa Rica 2015 6.854 9.799
## 407 Costa Rica 2016 7.136 9.830
## 408 Costa Rica 2017 7.225 9.858
## 409 Costa Rica 2018 7.141 9.874
## 410 Costa Rica 2019 6.998 9.885
## 411 Croatia 2007 5.821 10.162
## 412 Croatia 2009 5.433 10.104
## 413 Croatia 2010 5.596 10.091
## 414 Croatia 2011 5.385 10.091
## 415 Croatia 2012 6.028 10.072
## 416 Croatia 2013 5.885 10.069
## 417 Croatia 2014 5.381 10.072
## 418 Croatia 2015 5.205 10.104
## 419 Croatia 2016 5.417 10.146
## 420 Croatia 2017 5.343 10.189
## 421 Croatia 2018 5.536 10.224
## 422 Croatia 2019 5.626 10.258
## 423 Croatia 2020 6.508 10.166
## 424 Cuba 2006 5.418 NA
## 425 Cyprus 2006 6.238 10.566
## 426 Cyprus 2009 6.833 10.558
## 427 Cyprus 2010 6.387 10.551
## 428 Cyprus 2011 6.690 10.530
## 429 Cyprus 2012 6.181 10.479
## 430 Cyprus 2013 5.439 10.414
## 431 Cyprus 2014 5.627 10.406
## 432 Cyprus 2015 5.439 10.445
## 433 Cyprus 2016 5.795 10.506
## 434 Cyprus 2017 6.062 10.539
## 435 Cyprus 2018 6.276 10.567
## 436 Cyprus 2019 6.137 10.585
## 437 Cyprus 2020 6.260 NA
## 438 Czech Republic 2005 6.439 10.324
## 439 Czech Republic 2007 6.500 10.437
## 440 Czech Republic 2010 6.250 10.419
## 441 Czech Republic 2011 6.331 10.435
## 442 Czech Republic 2012 6.334 10.426
## 443 Czech Republic 2013 6.698 10.420
## 444 Czech Republic 2014 6.484 10.446
## 445 Czech Republic 2015 6.608 10.496
## 446 Czech Republic 2016 6.736 10.518
## 447 Czech Republic 2017 6.790 10.558
## 448 Czech Republic 2018 7.034 10.583
## 449 Czech Republic 2020 6.897 10.530
## 450 Denmark 2005 8.019 10.851
## 451 Denmark 2007 7.834 10.891
## 452 Denmark 2008 7.971 10.880
## 453 Denmark 2009 7.683 10.824
## 454 Denmark 2010 7.771 10.839
## 455 Denmark 2011 7.788 10.848
## 456 Denmark 2012 7.520 10.846
## 457 Denmark 2013 7.589 10.851
## 458 Denmark 2014 7.508 10.862
## 459 Denmark 2015 7.514 10.878
## 460 Denmark 2016 7.558 10.903
## 461 Denmark 2017 7.594 10.916
## 462 Denmark 2018 7.649 10.935
## 463 Denmark 2019 7.693 10.954
## 464 Denmark 2020 7.515 10.910
## 465 Djibouti 2008 5.009 8.111
## 466 Djibouti 2009 4.906 7.927
## 467 Djibouti 2010 5.006 7.812
## 468 Djibouti 2011 4.369 7.880
## 469 Dominican Republic 2006 5.088 9.314
## 470 Dominican Republic 2007 5.081 9.372
## 471 Dominican Republic 2008 4.842 9.391
## 472 Dominican Republic 2009 5.432 9.388
## 473 Dominican Republic 2010 4.735 9.456
## 474 Dominican Republic 2011 5.397 9.475
## 475 Dominican Republic 2012 4.753 9.489
## 476 Dominican Republic 2013 5.016 9.525
## 477 Dominican Republic 2014 5.387 9.582
## 478 Dominican Republic 2015 5.062 9.637
## 479 Dominican Republic 2016 5.239 9.691
## 480 Dominican Republic 2017 5.605 9.725
## 481 Dominican Republic 2018 5.433 9.782
## 482 Dominican Republic 2019 6.004 9.821
## 483 Dominican Republic 2020 5.168 9.802
## 484 Ecuador 2006 5.024 9.186
## 485 Ecuador 2007 4.996 9.191
## 486 Ecuador 2008 5.297 9.236
## 487 Ecuador 2009 6.022 9.225
## 488 Ecuador 2010 5.838 9.244
## 489 Ecuador 2011 5.795 9.304
## 490 Ecuador 2012 5.961 9.344
## 491 Ecuador 2013 6.019 9.377
## 492 Ecuador 2014 5.946 9.399
## 493 Ecuador 2015 5.964 9.384
## 494 Ecuador 2016 6.115 9.355
## 495 Ecuador 2017 5.840 9.360
## 496 Ecuador 2018 6.128 9.355
## 497 Ecuador 2019 5.809 9.339
## 498 Ecuador 2020 5.354 9.244
## 499 Egypt 2005 5.168 9.036
## 500 Egypt 2007 5.541 9.135
## 501 Egypt 2008 4.632 9.186
## 502 Egypt 2009 5.066 9.213
## 503 Egypt 2010 4.669 9.244
## 504 Egypt 2011 4.174 9.240
## 505 Egypt 2012 4.204 9.240
## 506 Egypt 2013 3.559 9.239
## 507 Egypt 2014 4.885 9.245
## 508 Egypt 2015 4.763 9.266
## 509 Egypt 2016 4.557 9.287
## 510 Egypt 2017 3.929 9.307
## 511 Egypt 2018 4.005 9.338
## 512 Egypt 2019 4.328 9.373
## 513 Egypt 2020 4.472 9.383
## 514 El Salvador 2006 5.701 8.873
## 515 El Salvador 2007 5.296 8.887
## 516 El Salvador 2008 5.191 8.908
## 517 El Salvador 2009 6.839 8.883
## 518 El Salvador 2010 6.740 8.900
## 519 El Salvador 2011 4.741 8.933
## 520 El Salvador 2012 5.934 8.956
## 521 El Salvador 2013 6.325 8.974
## 522 El Salvador 2014 5.857 8.986
## 523 El Salvador 2015 6.018 9.005
## 524 El Salvador 2016 6.140 9.025
## 525 El Salvador 2017 6.339 9.042
## 526 El Salvador 2018 6.241 9.061
## 527 El Salvador 2019 6.455 9.080
## 528 El Salvador 2020 5.462 9.019
## 529 Estonia 2006 5.371 10.270
## 530 Estonia 2007 5.332 10.347
## 531 Estonia 2008 5.452 10.298
## 532 Estonia 2009 5.138 10.144
## 533 Estonia 2011 5.487 10.248
## 534 Estonia 2012 5.364 10.282
## 535 Estonia 2013 5.367 10.299
## 536 Estonia 2014 5.556 10.331
## 537 Estonia 2015 5.629 10.348
## 538 Estonia 2016 5.650 10.374
## 539 Estonia 2017 5.938 10.429
## 540 Estonia 2018 6.091 10.472
## 541 Estonia 2019 6.035 10.511
## 542 Estonia 2020 6.453 10.459
## 543 Ethiopia 2012 4.561 7.271
## 544 Ethiopia 2013 4.445 7.343
## 545 Ethiopia 2014 4.507 7.413
## 546 Ethiopia 2015 4.573 7.484
## 547 Ethiopia 2016 4.298 7.547
## 548 Ethiopia 2017 4.180 7.612
## 549 Ethiopia 2018 4.379 7.651
## 550 Ethiopia 2019 4.100 7.705
## 551 Ethiopia 2020 4.549 7.711
## 552 Finland 2006 7.672 10.745
## 553 Finland 2008 7.671 10.796
## 554 Finland 2010 7.393 10.734
## 555 Finland 2011 7.354 10.754
## 556 Finland 2012 7.420 10.735
## 557 Finland 2013 7.445 10.722
## 558 Finland 2014 7.385 10.714
## 559 Finland 2015 7.448 10.716
## 560 Finland 2016 7.660 10.740
## 561 Finland 2017 7.788 10.768
## 562 Finland 2018 7.858 10.783
## 563 Finland 2019 7.780 10.792
## 564 Finland 2020 7.889 10.750
## 565 France 2005 7.093 10.642
## 566 France 2006 6.583 10.659
## 567 France 2008 7.008 10.674
## 568 France 2009 6.283 10.639
## 569 France 2010 6.798 10.654
## 570 France 2011 6.959 10.671
## 571 France 2012 6.649 10.669
## 572 France 2013 6.667 10.669
## 573 France 2014 6.467 10.674
## 574 France 2015 6.358 10.682
## 575 France 2016 6.475 10.690
## 576 France 2017 6.635 10.711
## 577 France 2018 6.666 10.727
## 578 France 2019 6.690 10.740
## 579 France 2020 6.714 10.643
## 580 Gabon 2011 4.255 9.608
## 581 Gabon 2012 3.972 9.621
## 582 Gabon 2013 3.800 9.638
## 583 Gabon 2014 3.918 9.644
## 584 Gabon 2015 4.661 9.649
## 585 Gabon 2016 4.832 9.639
## 586 Gabon 2017 4.782 9.616
## 587 Gabon 2018 4.783 9.599
## 588 Gabon 2019 4.914 9.607
## 589 Gambia 2017 4.118 7.637
## 590 Gambia 2018 4.922 7.671
## 591 Gambia 2019 5.164 7.699
## 592 Georgia 2006 3.675 8.993
## 593 Georgia 2007 3.707 9.117
## 594 Georgia 2008 4.156 9.144
## 595 Georgia 2009 3.801 9.116
## 596 Georgia 2010 4.102 9.184
## 597 Georgia 2011 4.203 9.263
## 598 Georgia 2012 4.254 9.332
## 599 Georgia 2013 4.349 9.371
## 600 Georgia 2014 4.288 9.414
## 601 Georgia 2015 4.122 9.442
## 602 Georgia 2016 4.448 9.470
## 603 Georgia 2017 4.451 9.517
## 604 Georgia 2018 4.659 9.565
## 605 Georgia 2019 4.892 9.617
## 606 Georgia 2020 5.123 9.569
## 607 Germany 2005 6.620 10.689
## 608 Germany 2007 6.417 10.759
## 609 Germany 2008 6.522 10.770
## 610 Germany 2009 6.641 10.714
## 611 Germany 2010 6.725 10.756
## 612 Germany 2011 6.621 10.813
## 613 Germany 2012 6.702 10.816
## 614 Germany 2013 6.965 10.817
## 615 Germany 2014 6.984 10.835
## 616 Germany 2015 7.037 10.844
## 617 Germany 2016 6.874 10.858
## 618 Germany 2017 7.074 10.878
## 619 Germany 2018 7.118 10.890
## 620 Germany 2019 7.035 10.893
## 621 Germany 2020 7.312 10.833
## 622 Ghana 2006 4.535 8.073
## 623 Ghana 2007 5.220 8.090
## 624 Ghana 2008 4.965 8.152
## 625 Ghana 2009 4.198 8.174
## 626 Ghana 2010 4.606 8.225
## 627 Ghana 2011 5.608 8.332
## 628 Ghana 2012 5.057 8.397
## 629 Ghana 2013 4.965 8.445
## 630 Ghana 2014 3.860 8.450
## 631 Ghana 2015 3.986 8.449
## 632 Ghana 2016 4.514 8.460
## 633 Ghana 2017 5.481 8.517
## 634 Ghana 2018 5.004 8.555
## 635 Ghana 2019 4.967 8.596
## 636 Ghana 2020 5.319 8.590
## 637 Greece 2005 6.006 10.462
## 638 Greece 2007 6.647 10.543
## 639 Greece 2009 6.039 10.491
## 640 Greece 2010 5.840 10.433
## 641 Greece 2011 5.372 10.339
## 642 Greece 2012 5.096 10.268
## 643 Greece 2013 4.720 10.243
## 644 Greece 2014 4.756 10.257
## 645 Greece 2015 5.623 10.259
## 646 Greece 2016 5.303 10.261
## 647 Greece 2017 5.148 10.278
## 648 Greece 2018 5.409 10.299
## 649 Greece 2019 5.952 10.319
## 650 Greece 2020 5.788 10.215
## 651 Guatemala 2006 5.901 8.850
## 652 Guatemala 2007 6.330 8.891
## 653 Guatemala 2008 6.414 8.904
## 654 Guatemala 2009 6.452 8.891
## 655 Guatemala 2010 6.290 8.901
## 656 Guatemala 2011 5.743 8.923
## 657 Guatemala 2012 5.856 8.935
## 658 Guatemala 2013 5.985 8.953
## 659 Guatemala 2014 6.536 8.980
## 660 Guatemala 2015 6.465 9.003
## 661 Guatemala 2016 6.359 9.013
## 662 Guatemala 2017 6.325 9.026
## 663 Guatemala 2018 6.627 9.042
## 664 Guatemala 2019 6.262 9.064
## 665 Guinea 2011 4.045 7.567
## 666 Guinea 2012 3.652 7.603
## 667 Guinea 2013 3.902 7.619
## 668 Guinea 2014 3.412 7.632
## 669 Guinea 2015 3.505 7.645
## 670 Guinea 2016 3.603 7.721
## 671 Guinea 2017 4.874 7.792
## 672 Guinea 2018 5.252 7.823
## 673 Guinea 2019 4.768 7.849
## 674 Guyana 2007 5.993 8.773
## 675 Haiti 2006 3.754 7.407
## 676 Haiti 2008 3.846 7.417
## 677 Haiti 2010 3.766 7.384
## 678 Haiti 2011 4.845 7.423
## 679 Haiti 2012 4.413 7.437
## 680 Haiti 2013 4.622 7.464
## 681 Haiti 2014 3.889 7.477
## 682 Haiti 2015 3.570 7.476
## 683 Haiti 2016 3.352 7.477
## 684 Haiti 2017 3.824 7.475
## 685 Haiti 2018 3.615 7.477
## 686 Honduras 2006 5.397 8.462
## 687 Honduras 2007 5.097 8.500
## 688 Honduras 2008 5.420 8.520
## 689 Honduras 2009 6.033 8.474
## 690 Honduras 2010 5.866 8.490
## 691 Honduras 2011 4.961 8.508
## 692 Honduras 2012 4.602 8.530
## 693 Honduras 2013 4.713 8.540
## 694 Honduras 2014 5.056 8.552
## 695 Honduras 2015 4.845 8.572
## 696 Honduras 2016 5.648 8.593
## 697 Honduras 2017 6.020 8.624
## 698 Honduras 2018 5.908 8.643
## 699 Honduras 2019 5.930 8.653
## 700 Hong Kong S.A.R. of China 2006 5.511 10.746
## 701 Hong Kong S.A.R. of China 2008 5.137 10.816
## 702 Hong Kong S.A.R. of China 2009 5.397 10.788
## 703 Hong Kong S.A.R. of China 2010 5.643 10.847
## 704 Hong Kong S.A.R. of China 2011 5.474 10.887
## 705 Hong Kong S.A.R. of China 2012 5.484 10.893
## 706 Hong Kong S.A.R. of China 2014 5.458 10.940
## 707 Hong Kong S.A.R. of China 2016 5.498 10.970
## 708 Hong Kong S.A.R. of China 2017 5.362 11.000
## 709 Hong Kong S.A.R. of China 2019 5.659 11.000
## 710 Hong Kong S.A.R. of China 2020 5.295 NA
## 711 Hungary 2005 5.194 10.108
## 712 Hungary 2007 4.954 10.153
## 713 Hungary 2009 4.895 10.097
## 714 Hungary 2010 4.725 10.106
## 715 Hungary 2011 4.918 10.127
## 716 Hungary 2012 4.683 10.117
## 717 Hungary 2013 4.914 10.140
## 718 Hungary 2014 5.181 10.183
## 719 Hungary 2015 5.344 10.223
## 720 Hungary 2016 5.449 10.248
## 721 Hungary 2017 6.065 10.293
## 722 Hungary 2018 5.936 10.344
## 723 Hungary 2019 6.000 10.393
## 724 Hungary 2020 6.038 10.335
## 725 Iceland 2008 6.888 10.861
## 726 Iceland 2012 7.591 10.777
## 727 Iceland 2013 7.501 10.809
## 728 Iceland 2015 7.498 10.854
## 729 Iceland 2016 7.510 10.904
## 730 Iceland 2017 7.476 10.925
## 731 Iceland 2019 7.533 10.931
## 732 Iceland 2020 7.575 10.824
## 733 India 2006 5.348 8.145
## 734 India 2007 5.027 8.204
## 735 India 2008 5.146 8.220
## 736 India 2009 4.522 8.281
## 737 India 2010 4.989 8.349
## 738 India 2011 4.635 8.387
## 739 India 2012 4.720 8.428
## 740 India 2013 4.428 8.478
## 741 India 2014 4.424 8.538
## 742 India 2015 4.342 8.604
## 743 India 2016 4.179 8.673
## 744 India 2017 4.046 8.730
## 745 India 2018 3.818 8.779
## 746 India 2019 3.249 8.818
## 747 India 2020 4.225 8.703
## 748 Indonesia 2006 4.947 8.850
## 749 Indonesia 2007 5.101 8.898
## 750 Indonesia 2008 4.815 8.943
## 751 Indonesia 2009 5.472 8.975
## 752 Indonesia 2010 5.457 9.022
## 753 Indonesia 2011 5.173 9.069
## 754 Indonesia 2012 5.368 9.114
## 755 Indonesia 2013 5.292 9.155
## 756 Indonesia 2014 5.597 9.190
## 757 Indonesia 2015 5.043 9.225
## 758 Indonesia 2016 5.136 9.262
## 759 Indonesia 2017 5.098 9.300
## 760 Indonesia 2018 5.340 9.339
## 761 Indonesia 2019 5.347 9.377
## 762 Iran 2005 5.308 9.393
## 763 Iran 2007 5.336 9.497
## 764 Iran 2008 5.129 9.489
## 765 Iran 2011 4.768 9.547
## 766 Iran 2012 4.609 9.458
## 767 Iran 2013 5.140 9.443
## 768 Iran 2014 4.682 9.476
## 769 Iran 2015 4.750 9.449
## 770 Iran 2016 4.653 9.561
## 771 Iran 2017 4.717 9.584
## 772 Iran 2018 4.278 NA
## 773 Iran 2019 5.006 NA
## 774 Iran 2020 4.865 NA
## 775 Iraq 2008 4.590 9.063
## 776 Iraq 2009 4.775 9.076
## 777 Iraq 2010 5.065 9.112
## 778 Iraq 2011 4.725 9.152
## 779 Iraq 2012 4.660 9.246
## 780 Iraq 2013 4.725 9.280
## 781 Iraq 2014 4.542 9.250
## 782 Iraq 2015 4.493 9.241
## 783 Iraq 2016 4.413 9.354
## 784 Iraq 2017 4.462 9.303
## 785 Iraq 2018 4.886 9.274
## 786 Iraq 2020 4.785 9.167
## 787 Ireland 2006 7.144 10.972
## 788 Ireland 2008 7.568 10.929
## 789 Ireland 2009 7.046 10.866
## 790 Ireland 2010 7.257 10.879
## 791 Ireland 2011 7.007 10.878
## 792 Ireland 2012 6.965 10.876
## 793 Ireland 2013 6.760 10.884
## 794 Ireland 2014 7.018 10.959
## 795 Ireland 2015 6.830 11.174
## 796 Ireland 2016 7.041 11.199
## 797 Ireland 2017 7.060 11.266
## 798 Ireland 2018 6.962 11.332
## 799 Ireland 2019 7.255 11.371
## 800 Ireland 2020 7.035 11.323
## 801 Israel 2006 7.173 10.389
## 802 Israel 2007 6.841 10.428
## 803 Israel 2008 7.261 10.440
## 804 Israel 2009 7.353 10.425
## 805 Israel 2010 7.359 10.461
## 806 Israel 2011 7.433 10.489
## 807 Israel 2012 7.111 10.493
## 808 Israel 2013 7.321 10.515
## 809 Israel 2014 7.401 10.533
## 810 Israel 2015 7.079 10.536
## 811 Israel 2016 7.159 10.555
## 812 Israel 2017 7.331 10.570
## 813 Israel 2018 6.927 10.585
## 814 Israel 2019 7.332 10.601
## 815 Israel 2020 7.195 10.538
## 816 Italy 2005 6.854 10.703
## 817 Italy 2007 6.574 10.727
## 818 Italy 2008 6.780 10.711
## 819 Italy 2009 6.334 10.652
## 820 Italy 2010 6.354 10.666
## 821 Italy 2011 6.057 10.671
## 822 Italy 2012 5.839 10.638
## 823 Italy 2013 6.009 10.608
## 824 Italy 2014 6.027 10.599
## 825 Italy 2015 5.848 10.608
## 826 Italy 2016 5.955 10.622
## 827 Italy 2017 6.199 10.640
## 828 Italy 2018 6.517 10.650
## 829 Italy 2019 6.445 10.655
## 830 Italy 2020 6.488 10.563
## 831 Ivory Coast 2009 4.197 8.209
## 832 Ivory Coast 2013 3.739 8.274
## 833 Ivory Coast 2014 3.570 8.334
## 834 Ivory Coast 2015 4.445 8.393
## 835 Ivory Coast 2016 4.543 8.437
## 836 Ivory Coast 2017 5.038 8.483
## 837 Ivory Coast 2018 5.268 8.523
## 838 Ivory Coast 2019 5.392 8.564
## 839 Ivory Coast 2020 5.257 8.565
## 840 Jamaica 2006 6.208 9.225
## 841 Jamaica 2011 5.374 9.164
## 842 Jamaica 2013 5.709 9.151
## 843 Jamaica 2014 5.311 9.152
## 844 Jamaica 2017 5.890 9.169
## 845 Jamaica 2019 6.309 9.186
## 846 Japan 2005 6.516 10.529
## 847 Japan 2007 6.238 10.558
## 848 Japan 2008 5.911 10.546
## 849 Japan 2009 5.845 10.491
## 850 Japan 2010 6.057 10.532
## 851 Japan 2011 6.263 10.532
## 852 Japan 2012 5.968 10.549
## 853 Japan 2013 5.959 10.570
## 854 Japan 2014 5.923 10.575
## 855 Japan 2015 5.880 10.588
## 856 Japan 2016 5.955 10.595
## 857 Japan 2017 5.911 10.618
## 858 Japan 2018 5.794 10.623
## 859 Japan 2019 5.908 10.632
## 860 Japan 2020 6.118 10.580
## 861 Jordan 2005 6.295 9.246
## 862 Jordan 2007 5.598 9.321
## 863 Jordan 2008 4.930 9.343
## 864 Jordan 2009 6.000 9.347
## 865 Jordan 2010 5.570 9.317
## 866 Jordan 2011 5.539 9.289
## 867 Jordan 2012 5.132 9.261
## 868 Jordan 2013 5.172 9.237
## 869 Jordan 2014 5.333 9.222
## 870 Jordan 2015 5.405 9.207
## 871 Jordan 2016 5.271 9.197
## 872 Jordan 2017 4.808 9.194
## 873 Jordan 2018 4.639 9.196
## 874 Jordan 2019 4.453 9.201
## 875 Jordan 2020 4.094 9.150
## 876 Kazakhstan 2006 5.476 9.804
## 877 Kazakhstan 2007 5.719 9.878
## 878 Kazakhstan 2008 5.886 9.898
## 879 Kazakhstan 2009 5.383 9.884
## 880 Kazakhstan 2010 5.514 9.940
## 881 Kazakhstan 2011 5.736 9.997
## 882 Kazakhstan 2012 5.759 10.030
## 883 Kazakhstan 2013 5.835 10.074
## 884 Kazakhstan 2014 5.970 10.101
## 885 Kazakhstan 2015 5.950 10.098
## 886 Kazakhstan 2016 5.534 10.095
## 887 Kazakhstan 2017 5.882 10.121
## 888 Kazakhstan 2018 6.008 10.148
## 889 Kazakhstan 2019 6.272 10.179
## 890 Kazakhstan 2020 6.168 10.135
## 891 Kenya 2006 4.223 8.039
## 892 Kenya 2007 4.576 8.078
## 893 Kenya 2008 4.015 8.052
## 894 Kenya 2009 4.270 8.057
## 895 Kenya 2010 4.256 8.111
## 896 Kenya 2011 4.405 8.143
## 897 Kenya 2012 4.547 8.161
## 898 Kenya 2013 3.795 8.192
## 899 Kenya 2014 4.905 8.219
## 900 Kenya 2015 4.358 8.249
## 901 Kenya 2016 4.396 8.282
## 902 Kenya 2017 4.476 8.306
## 903 Kenya 2018 4.656 8.344
## 904 Kenya 2019 4.619 8.373
## 905 Kenya 2020 4.547 8.365
## 906 Kosovo 2007 5.104 8.928
## 907 Kosovo 2008 5.522 8.981
## 908 Kosovo 2009 5.891 9.008
## 909 Kosovo 2010 5.177 9.033
## 910 Kosovo 2011 4.860 9.067
## 911 Kosovo 2012 5.640 9.086
## 912 Kosovo 2013 6.126 9.113
## 913 Kosovo 2014 5.000 9.129
## 914 Kosovo 2015 5.077 9.182
## 915 Kosovo 2016 5.759 9.228
## 916 Kosovo 2017 6.149 9.262
## 917 Kosovo 2018 6.392 9.296
## 918 Kosovo 2019 6.425 9.339
## 919 Kosovo 2020 6.294 NA
## 920 Kuwait 2006 6.076 11.228
## 921 Kuwait 2009 6.585 11.065
## 922 Kuwait 2010 6.798 10.982
## 923 Kuwait 2011 6.378 11.017
## 924 Kuwait 2012 6.221 11.025
## 925 Kuwait 2013 6.480 10.985
## 926 Kuwait 2014 6.180 10.945
## 927 Kuwait 2015 6.146 10.912
## 928 Kuwait 2016 5.947 10.910
## 929 Kuwait 2017 6.094 10.837
## 930 Kuwait 2019 6.106 10.817
## 931 Kyrgyzstan 2006 4.641 8.185
## 932 Kyrgyzstan 2007 4.698 8.258
## 933 Kyrgyzstan 2008 4.737 8.329
## 934 Kyrgyzstan 2009 5.069 8.345
## 935 Kyrgyzstan 2010 4.996 8.329
## 936 Kyrgyzstan 2011 4.921 8.374
## 937 Kyrgyzstan 2012 5.208 8.357
## 938 Kyrgyzstan 2013 5.402 8.441
## 939 Kyrgyzstan 2014 5.252 8.460
## 940 Kyrgyzstan 2015 4.905 8.477
## 941 Kyrgyzstan 2016 4.857 8.500
## 942 Kyrgyzstan 2017 5.630 8.526
## 943 Kyrgyzstan 2018 5.297 8.543
## 944 Kyrgyzstan 2019 5.685 8.567
## 945 Kyrgyzstan 2020 6.250 8.503
## 946 Laos 2006 5.076 8.251
## 947 Laos 2007 5.364 8.307
## 948 Laos 2008 5.044 8.366
## 949 Laos 2011 4.704 8.548
## 950 Laos 2012 4.876 8.611
## 951 Laos 2017 4.623 8.890
## 952 Laos 2018 4.859 8.935
## 953 Laos 2019 5.197 8.965
## 954 Laos 2020 5.284 8.960
## 955 Latvia 2006 4.710 10.032
## 956 Latvia 2007 4.667 10.136
## 957 Latvia 2008 5.145 10.112
## 958 Latvia 2009 4.669 9.975
## 959 Latvia 2011 4.967 10.029
## 960 Latvia 2012 5.125 10.082
## 961 Latvia 2013 5.070 10.116
## 962 Latvia 2014 5.729 10.144
## 963 Latvia 2015 5.881 10.185
## 964 Latvia 2016 5.940 10.211
## 965 Latvia 2017 5.978 10.257
## 966 Latvia 2018 5.901 10.307
## 967 Latvia 2019 5.970 10.336
## 968 Latvia 2020 6.229 10.300
## 969 Lebanon 2005 5.491 9.565
## 970 Lebanon 2006 4.653 9.568
## 971 Lebanon 2008 4.595 9.743
## 972 Lebanon 2009 5.206 9.830
## 973 Lebanon 2010 5.032 9.878
## 974 Lebanon 2011 5.188 9.838
## 975 Lebanon 2012 4.573 9.800
## 976 Lebanon 2013 4.983 9.772
## 977 Lebanon 2014 5.233 9.739
## 978 Lebanon 2015 5.172 9.699
## 979 Lebanon 2016 5.271 9.687
## 980 Lebanon 2017 5.154 9.681
## 981 Lebanon 2018 5.167 9.656
## 982 Lebanon 2019 4.024 9.597
## 983 Lesotho 2011 4.898 7.777
## 984 Lesotho 2016 3.808 7.953
## 985 Lesotho 2017 3.795 7.931
## 986 Lesotho 2019 3.512 7.926
## 987 Liberia 2007 3.701 7.196
## 988 Liberia 2008 4.221 7.223
## 989 Liberia 2010 4.196 7.258
## 990 Liberia 2014 4.571 7.391
## 991 Liberia 2015 2.702 7.365
## 992 Liberia 2016 3.355 7.324
## 993 Liberia 2017 4.424 7.324
## 994 Liberia 2018 4.135 7.311
## 995 Liberia 2019 5.121 7.264
## 996 Libya 2012 5.754 9.842
## 997 Libya 2015 5.615 9.308
## 998 Libya 2016 5.434 9.268
## 999 Libya 2017 5.647 9.491
## 1000 Libya 2018 5.494 9.617
## 1001 Libya 2019 5.330 9.627
## 1002 Lithuania 2006 5.954 10.046
## 1003 Lithuania 2007 5.808 10.163
## 1004 Lithuania 2008 5.554 10.199
## 1005 Lithuania 2009 5.467 10.050
## 1006 Lithuania 2010 5.066 10.085
## 1007 Lithuania 2011 5.432 10.167
## 1008 Lithuania 2012 5.771 10.218
## 1009 Lithuania 2013 5.596 10.263
## 1010 Lithuania 2014 6.126 10.306
## 1011 Lithuania 2015 5.711 10.335
## 1012 Lithuania 2016 5.866 10.373
## 1013 Lithuania 2017 6.273 10.429
## 1014 Lithuania 2018 6.309 10.474
## 1015 Lithuania 2019 6.064 10.518
## 1016 Lithuania 2020 6.391 10.504
## 1017 Luxembourg 2009 6.958 11.562
## 1018 Luxembourg 2010 7.097 11.592
## 1019 Luxembourg 2011 7.101 11.595
## 1020 Luxembourg 2012 6.964 11.567
## 1021 Luxembourg 2013 7.131 11.580
## 1022 Luxembourg 2014 6.891 11.598
## 1023 Luxembourg 2015 6.702 11.617
## 1024 Luxembourg 2016 6.967 11.640
## 1025 Luxembourg 2017 7.061 11.634
## 1026 Luxembourg 2018 7.243 11.645
## 1027 Luxembourg 2019 7.404 11.648
## 1028 Madagascar 2006 3.980 7.376
## 1029 Madagascar 2008 4.640 7.439
## 1030 Madagascar 2011 4.381 7.336
## 1031 Madagascar 2012 3.551 7.339
## 1032 Madagascar 2013 3.816 7.334
## 1033 Madagascar 2014 3.676 7.340
## 1034 Madagascar 2015 3.593 7.344
## 1035 Madagascar 2016 3.663 7.356
## 1036 Madagascar 2017 4.079 7.368
## 1037 Madagascar 2018 4.071 7.386
## 1038 Madagascar 2019 4.339 7.406
## 1039 Malawi 2006 3.830 6.678
## 1040 Malawi 2007 4.891 6.742
## 1041 Malawi 2009 5.148 6.838
## 1042 Malawi 2011 3.946 6.895
## 1043 Malawi 2012 4.279 6.885
## 1044 Malawi 2013 4.035 6.907
## 1045 Malawi 2014 4.563 6.935
## 1046 Malawi 2015 3.868 6.935
## 1047 Malawi 2016 3.476 6.932
## 1048 Malawi 2017 3.417 6.945
## 1049 Malawi 2018 3.335 6.949
## 1050 Malawi 2019 3.869 6.966
## 1051 Malaysia 2006 6.012 9.839
## 1052 Malaysia 2007 6.239 9.881
## 1053 Malaysia 2008 5.807 9.909
## 1054 Malaysia 2009 5.385 9.875
## 1055 Malaysia 2010 5.580 9.930
## 1056 Malaysia 2011 5.786 9.966
## 1057 Malaysia 2012 5.914 10.005
## 1058 Malaysia 2013 5.770 10.037
## 1059 Malaysia 2014 5.963 10.082
## 1060 Malaysia 2015 6.322 10.118
## 1061 Malaysia 2018 5.339 10.223
## 1062 Malaysia 2019 5.428 10.252
## 1063 Maldives 2018 5.198 9.826
## 1064 Mali 2006 4.014 7.593
## 1065 Mali 2008 4.115 7.607
## 1066 Mali 2009 3.977 7.622
## 1067 Mali 2010 3.762 7.642
## 1068 Mali 2011 4.667 7.643
## 1069 Mali 2012 4.313 7.605
## 1070 Mali 2013 3.676 7.599
## 1071 Mali 2014 3.975 7.638
## 1072 Mali 2015 4.582 7.669
## 1073 Mali 2016 4.016 7.695
## 1074 Mali 2017 4.742 7.718
## 1075 Mali 2018 4.416 7.733
## 1076 Mali 2019 4.988 7.752
## 1077 Malta 2009 6.328 10.331
## 1078 Malta 2010 5.774 10.361
## 1079 Malta 2011 6.155 10.370
## 1080 Malta 2012 5.963 10.389
## 1081 Malta 2013 6.380 10.422
## 1082 Malta 2014 6.452 10.486
## 1083 Malta 2015 6.613 10.566
## 1084 Malta 2016 6.591 10.599
## 1085 Malta 2017 6.676 10.635
## 1086 Malta 2018 6.910 10.670
## 1087 Malta 2019 6.733 10.677
## 1088 Malta 2020 6.157 NA
## 1089 Mauritania 2007 4.149 8.533
## 1090 Mauritania 2008 4.248 8.501
## 1091 Mauritania 2009 4.500 8.473
## 1092 Mauritania 2010 4.772 8.470
## 1093 Mauritania 2011 4.785 8.481
## 1094 Mauritania 2012 4.673 8.495
## 1095 Mauritania 2013 4.199 8.506
## 1096 Mauritania 2014 4.483 8.519
## 1097 Mauritania 2015 3.923 8.542
## 1098 Mauritania 2016 4.472 8.526
## 1099 Mauritania 2017 4.678 8.533
## 1100 Mauritania 2018 4.314 8.526
## 1101 Mauritania 2019 4.153 8.556
## 1102 Mauritius 2011 5.477 9.767
## 1103 Mauritius 2014 5.648 9.865
## 1104 Mauritius 2016 5.610 9.935
## 1105 Mauritius 2017 6.174 9.972
## 1106 Mauritius 2018 5.882 10.008
## 1107 Mauritius 2019 6.241 10.043
## 1108 Mauritius 2020 6.015 9.972
## 1109 Mexico 2005 6.581 9.788
## 1110 Mexico 2007 6.525 9.825
## 1111 Mexico 2008 6.829 9.821
## 1112 Mexico 2009 6.963 9.752
## 1113 Mexico 2010 6.802 9.788
## 1114 Mexico 2011 6.910 9.810
## 1115 Mexico 2012 7.320 9.832
## 1116 Mexico 2013 7.443 9.832
## 1117 Mexico 2014 6.680 9.847
## 1118 Mexico 2015 6.236 9.867
## 1119 Mexico 2016 6.824 9.884
## 1120 Mexico 2017 6.410 9.893
## 1121 Mexico 2018 6.550 9.903
## 1122 Mexico 2019 6.432 9.891
## 1123 Mexico 2020 5.964 9.782
## 1124 Moldova 2006 5.102 8.936
## 1125 Moldova 2007 4.775 8.968
## 1126 Moldova 2008 5.503 9.045
## 1127 Moldova 2009 5.554 8.984
## 1128 Moldova 2010 5.590 9.054
## 1129 Moldova 2011 5.792 9.111
## 1130 Moldova 2012 5.996 9.105
## 1131 Moldova 2013 5.756 9.192
## 1132 Moldova 2014 5.917 9.241
## 1133 Moldova 2015 6.017 9.246
## 1134 Moldova 2016 5.578 9.300
## 1135 Moldova 2017 5.326 9.363
## 1136 Moldova 2018 5.682 9.423
## 1137 Moldova 2019 5.803 9.475
## 1138 Moldova 2020 5.812 9.462
## 1139 Mongolia 2007 4.609 8.833
## 1140 Mongolia 2008 4.493 8.904
## 1141 Mongolia 2010 4.586 8.920
## 1142 Mongolia 2011 5.031 9.061
## 1143 Mongolia 2012 4.885 9.158
## 1144 Mongolia 2013 4.913 9.248
## 1145 Mongolia 2014 4.825 9.304
## 1146 Mongolia 2015 4.983 9.308
## 1147 Mongolia 2016 5.057 9.300
## 1148 Mongolia 2017 5.334 9.334
## 1149 Mongolia 2018 5.465 9.386
## 1150 Mongolia 2019 5.563 9.418
## 1151 Mongolia 2020 6.011 9.396
## 1152 Montenegro 2007 5.196 9.693
## 1153 Montenegro 2009 4.801 9.699
## 1154 Montenegro 2010 5.455 9.724
## 1155 Montenegro 2011 5.223 9.755
## 1156 Montenegro 2012 5.219 9.726
## 1157 Montenegro 2013 5.074 9.760
## 1158 Montenegro 2014 5.283 9.777
## 1159 Montenegro 2015 5.125 9.810
## 1160 Montenegro 2016 5.304 9.839
## 1161 Montenegro 2017 5.615 9.885
## 1162 Montenegro 2018 5.650 9.934
## 1163 Montenegro 2019 5.386 9.970
## 1164 Montenegro 2020 5.722 9.913
## 1165 Morocco 2010 4.383 8.746
## 1166 Morocco 2011 5.085 8.783
## 1167 Morocco 2012 4.970 8.799
## 1168 Morocco 2013 5.142 8.829
## 1169 Morocco 2015 5.163 8.872
## 1170 Morocco 2016 5.386 8.869
## 1171 Morocco 2017 5.312 8.898
## 1172 Morocco 2018 4.897 8.914
## 1173 Morocco 2019 5.057 8.925
## 1174 Morocco 2020 4.803 8.871
## 1175 Mozambique 2006 4.595 6.776
## 1176 Mozambique 2007 4.833 6.823
## 1177 Mozambique 2008 4.654 6.865
## 1178 Mozambique 2011 4.971 6.979
## 1179 Mozambique 2015 4.550 7.141
## 1180 Mozambique 2017 4.280 7.157
## 1181 Mozambique 2018 4.654 7.162
## 1182 Mozambique 2019 4.932 7.155
## 1183 Myanmar 2012 4.439 8.158
## 1184 Myanmar 2013 4.176 8.230
## 1185 Myanmar 2014 4.786 8.299
## 1186 Myanmar 2015 4.224 8.359
## 1187 Myanmar 2016 4.623 8.408
## 1188 Myanmar 2017 4.154 8.464
## 1189 Myanmar 2018 4.411 8.523
## 1190 Myanmar 2019 4.434 8.545
## 1191 Myanmar 2020 4.431 8.554
## 1192 Namibia 2007 4.886 9.059
## 1193 Namibia 2014 4.574 9.232
## 1194 Namibia 2017 4.441 9.215
## 1195 Namibia 2018 4.834 9.204
## 1196 Namibia 2019 4.436 9.173
## 1197 Namibia 2020 4.451 9.104
## 1198 Nepal 2006 4.567 7.616
## 1199 Nepal 2007 4.748 7.638
## 1200 Nepal 2008 4.441 7.686
## 1201 Nepal 2009 4.917 7.723
## 1202 Nepal 2010 4.350 7.765
## 1203 Nepal 2011 3.809 7.797
## 1204 Nepal 2012 4.233 7.846
## 1205 Nepal 2013 4.605 7.889
## 1206 Nepal 2014 4.975 7.948
## 1207 Nepal 2015 4.812 7.976
## 1208 Nepal 2016 5.100 7.973
## 1209 Nepal 2017 4.737 8.039
## 1210 Nepal 2018 4.910 8.087
## 1211 Nepal 2019 5.449 8.136
## 1212 Netherlands 2005 7.464 10.814
## 1213 Netherlands 2007 7.452 10.881
## 1214 Netherlands 2008 7.631 10.899
## 1215 Netherlands 2010 7.502 10.864
## 1216 Netherlands 2011 7.564 10.875
## 1217 Netherlands 2012 7.471 10.861
## 1218 Netherlands 2013 7.407 10.857
## 1219 Netherlands 2014 7.321 10.867
## 1220 Netherlands 2015 7.324 10.882
## 1221 Netherlands 2016 7.541 10.899
## 1222 Netherlands 2017 7.459 10.921
## 1223 Netherlands 2018 7.463 10.941
## 1224 Netherlands 2019 7.425 10.953
## 1225 Netherlands 2020 7.504 10.901
## 1226 New Zealand 2006 7.305 10.526
## 1227 New Zealand 2007 7.604 10.546
## 1228 New Zealand 2008 7.381 10.528
## 1229 New Zealand 2010 7.224 10.520
## 1230 New Zealand 2011 7.191 10.536
## 1231 New Zealand 2012 7.250 10.553
## 1232 New Zealand 2013 7.280 10.571
## 1233 New Zealand 2014 7.306 10.592
## 1234 New Zealand 2015 7.418 10.608
## 1235 New Zealand 2016 7.226 10.623
## 1236 New Zealand 2017 7.327 10.633
## 1237 New Zealand 2018 7.370 10.660
## 1238 New Zealand 2019 7.205 10.666
## 1239 New Zealand 2020 7.257 10.600
## 1240 Nicaragua 2006 4.460 8.398
## 1241 Nicaragua 2007 4.944 8.434
## 1242 Nicaragua 2008 5.104 8.454
## 1243 Nicaragua 2009 5.353 8.407
## 1244 Nicaragua 2010 5.687 8.436
## 1245 Nicaragua 2011 5.386 8.484
## 1246 Nicaragua 2012 5.448 8.534
## 1247 Nicaragua 2013 5.772 8.569
## 1248 Nicaragua 2014 6.275 8.602
## 1249 Nicaragua 2015 5.924 8.636
## 1250 Nicaragua 2016 6.013 8.668
## 1251 Nicaragua 2017 6.476 8.700
## 1252 Nicaragua 2018 5.819 8.647
## 1253 Nicaragua 2019 6.113 8.595
## 1254 Niger 2006 3.737 6.888
## 1255 Niger 2007 4.277 6.881
## 1256 Niger 2008 4.236 6.918
## 1257 Niger 2009 4.267 6.898
## 1258 Niger 2010 4.101 6.941
## 1259 Niger 2011 4.556 6.925
## 1260 Niger 2012 3.798 6.987
## 1261 Niger 2013 3.716 7.002
## 1262 Niger 2014 4.181 7.027
## 1263 Niger 2015 3.671 7.030
## 1264 Niger 2016 4.235 7.047
## 1265 Niger 2017 4.616 7.058
## 1266 Niger 2018 5.164 7.087
## 1267 Niger 2019 5.004 7.106
## 1268 Nigeria 2006 4.710 8.326
## 1269 Nigeria 2007 4.890 8.364
## 1270 Nigeria 2008 4.939 8.403
## 1271 Nigeria 2009 4.980 8.453
## 1272 Nigeria 2010 4.760 8.504
## 1273 Nigeria 2012 5.493 8.543
## 1274 Nigeria 2013 4.818 8.581
## 1275 Nigeria 2015 4.933 8.615
## 1276 Nigeria 2016 5.220 8.573
## 1277 Nigeria 2017 5.322 8.555
## 1278 Nigeria 2018 5.252 8.548
## 1279 Nigeria 2019 4.356 8.544
## 1280 Nigeria 2020 5.503 8.484
## 1281 North Cyprus 2012 5.463 NA
## 1282 North Cyprus 2013 5.567 NA
## 1283 North Cyprus 2014 5.786 NA
## 1284 North Cyprus 2015 5.843 NA
## 1285 North Cyprus 2016 5.827 NA
## 1286 North Cyprus 2018 5.608 NA
## 1287 North Cyprus 2019 5.467 NA
## 1288 North Macedonia 2007 4.494 9.416
## 1289 North Macedonia 2009 4.428 9.464
## 1290 North Macedonia 2010 4.180 9.496
## 1291 North Macedonia 2011 4.898 9.518
## 1292 North Macedonia 2012 4.640 9.513
## 1293 North Macedonia 2013 5.186 9.541
## 1294 North Macedonia 2014 5.204 9.576
## 1295 North Macedonia 2015 4.976 9.613
## 1296 North Macedonia 2016 5.346 9.640
## 1297 North Macedonia 2017 5.234 9.650
## 1298 North Macedonia 2018 5.240 9.677
## 1299 North Macedonia 2019 5.015 9.711
## 1300 North Macedonia 2020 5.054 9.690
## 1301 Norway 2006 7.416 11.031
## 1302 Norway 2008 7.632 11.042
## 1303 Norway 2012 7.678 11.017
## 1304 Norway 2014 7.444 11.024
## 1305 Norway 2015 7.603 11.033
## 1306 Norway 2016 7.596 11.035
## 1307 Norway 2017 7.579 11.050
## 1308 Norway 2018 7.444 11.056
## 1309 Norway 2019 7.442 11.061
## 1310 Norway 2020 7.290 11.042
## 1311 Oman 2011 6.853 10.382
## 1312 Pakistan 2005 5.225 8.218
## 1313 Pakistan 2007 5.671 8.277
## 1314 Pakistan 2008 4.414 8.271
## 1315 Pakistan 2009 5.208 8.277
## 1316 Pakistan 2010 5.786 8.270
## 1317 Pakistan 2011 5.267 8.276
## 1318 Pakistan 2012 5.132 8.289
## 1319 Pakistan 2013 5.138 8.311
## 1320 Pakistan 2014 5.436 8.336
## 1321 Pakistan 2015 4.823 8.361
## 1322 Pakistan 2016 5.549 8.394
## 1323 Pakistan 2017 5.831 8.428
## 1324 Pakistan 2018 5.472 8.464
## 1325 Pakistan 2019 4.443 8.453
## 1326 Palestinian Territories 2006 4.716 8.213
## 1327 Palestinian Territories 2007 4.151 8.218
## 1328 Palestinian Territories 2008 4.386 8.276
## 1329 Palestinian Territories 2009 4.470 8.329
## 1330 Palestinian Territories 2010 4.703 8.383
## 1331 Palestinian Territories 2011 4.751 8.474
## 1332 Palestinian Territories 2012 4.647 8.531
## 1333 Palestinian Territories 2013 4.844 8.489
## 1334 Palestinian Territories 2014 4.722 8.457
## 1335 Palestinian Territories 2015 4.695 8.480
## 1336 Palestinian Territories 2016 4.907 8.498
## 1337 Palestinian Territories 2017 4.628 8.485
## 1338 Palestinian Territories 2018 4.554 NA
## 1339 Palestinian Territories 2019 4.483 NA
## 1340 Panama 2006 6.128 9.764
## 1341 Panama 2007 6.894 9.859
## 1342 Panama 2008 6.931 9.935
## 1343 Panama 2009 7.034 9.930
## 1344 Panama 2010 7.321 9.969
## 1345 Panama 2011 7.248 10.059
## 1346 Panama 2012 6.860 10.135
## 1347 Panama 2013 6.866 10.184
## 1348 Panama 2014 6.631 10.217
## 1349 Panama 2015 6.606 10.255
## 1350 Panama 2016 6.118 10.287
## 1351 Panama 2017 6.568 10.324
## 1352 Panama 2018 6.281 10.343
## 1353 Panama 2019 6.086 10.356
## 1354 Paraguay 2006 4.730 9.088
## 1355 Paraguay 2007 5.272 9.126
## 1356 Paraguay 2008 5.570 9.174
## 1357 Paraguay 2009 5.576 9.158
## 1358 Paraguay 2010 5.841 9.250
## 1359 Paraguay 2011 5.677 9.278
## 1360 Paraguay 2012 5.820 9.259
## 1361 Paraguay 2013 5.936 9.326
## 1362 Paraguay 2014 5.119 9.360
## 1363 Paraguay 2015 5.560 9.377
## 1364 Paraguay 2016 5.801 9.406
## 1365 Paraguay 2017 5.713 9.441
## 1366 Paraguay 2019 5.653 9.448
## 1367 Peru 2006 4.811 8.989
## 1368 Peru 2007 5.214 9.063
## 1369 Peru 2008 5.129 9.142
## 1370 Peru 2009 5.519 9.145
## 1371 Peru 2010 5.613 9.217
## 1372 Peru 2011 5.892 9.270
## 1373 Peru 2012 5.825 9.322
## 1374 Peru 2013 5.783 9.369
## 1375 Peru 2014 5.866 9.382
## 1376 Peru 2015 5.577 9.402
## 1377 Peru 2016 5.701 9.426
## 1378 Peru 2017 5.711 9.434
## 1379 Peru 2018 5.680 9.456
## 1380 Peru 2019 5.999 9.461
## 1381 Philippines 2006 4.670 8.562
## 1382 Philippines 2007 5.074 8.608
## 1383 Philippines 2008 4.589 8.634
## 1384 Philippines 2009 4.880 8.632
## 1385 Philippines 2010 4.942 8.686
## 1386 Philippines 2011 4.994 8.707
## 1387 Philippines 2012 5.002 8.756
## 1388 Philippines 2013 4.977 8.805
## 1389 Philippines 2014 5.313 8.850
## 1390 Philippines 2015 5.547 8.896
## 1391 Philippines 2016 5.431 8.950
## 1392 Philippines 2017 5.594 9.002
## 1393 Philippines 2018 5.869 9.050
## 1394 Philippines 2019 6.268 9.095
## 1395 Philippines 2020 5.080 9.061
## 1396 Poland 2005 5.587 9.849
## 1397 Poland 2007 5.886 9.978
## 1398 Poland 2009 5.772 10.047
## 1399 Poland 2010 5.887 10.085
## 1400 Poland 2011 5.646 10.133
## 1401 Poland 2012 5.876 10.149
## 1402 Poland 2013 5.746 10.164
## 1403 Poland 2014 5.750 10.197
## 1404 Poland 2015 6.007 10.235
## 1405 Poland 2016 6.162 10.266
## 1406 Poland 2017 6.201 10.314
## 1407 Poland 2018 6.111 10.366
## 1408 Poland 2019 6.242 10.407
## 1409 Poland 2020 6.139 10.371
## 1410 Portugal 2006 5.405 10.360
## 1411 Portugal 2008 5.717 10.384
## 1412 Portugal 2010 5.095 10.368
## 1413 Portugal 2011 5.220 10.353
## 1414 Portugal 2012 4.994 10.315
## 1415 Portugal 2013 5.158 10.312
## 1416 Portugal 2014 5.127 10.325
## 1417 Portugal 2015 5.081 10.347
## 1418 Portugal 2016 5.447 10.370
## 1419 Portugal 2017 5.711 10.407
## 1420 Portugal 2018 5.920 10.434
## 1421 Portugal 2019 6.095 10.457
## 1422 Portugal 2020 5.768 10.371
## 1423 Qatar 2009 6.418 11.456
## 1424 Qatar 2010 6.850 11.520
## 1425 Qatar 2011 6.592 11.553
## 1426 Qatar 2012 6.611 11.523
## 1427 Qatar 2015 6.375 11.486
## 1428 Romania 2005 5.049 9.724
## 1429 Romania 2007 5.394 9.892
## 1430 Romania 2009 5.368 9.949
## 1431 Romania 2010 4.909 9.915
## 1432 Romania 2011 5.023 9.940
## 1433 Romania 2012 5.167 9.965
## 1434 Romania 2013 5.082 10.004
## 1435 Romania 2014 5.727 10.041
## 1436 Romania 2015 5.777 10.083
## 1437 Romania 2016 5.969 10.136
## 1438 Romania 2017 6.090 10.211
## 1439 Romania 2018 6.151 10.260
## 1440 Romania 2019 6.130 10.306
## 1441 Russia 2006 4.964 9.991
## 1442 Russia 2007 5.223 10.074
## 1443 Russia 2008 5.619 10.125
## 1444 Russia 2009 5.158 10.044
## 1445 Russia 2010 5.385 10.087
## 1446 Russia 2011 5.389 10.129
## 1447 Russia 2012 5.621 10.166
## 1448 Russia 2013 5.537 10.182
## 1449 Russia 2014 6.037 10.171
## 1450 Russia 2015 5.996 10.149
## 1451 Russia 2016 5.855 10.149
## 1452 Russia 2017 5.579 10.166
## 1453 Russia 2018 5.514 10.191
## 1454 Russia 2019 5.441 10.205
## 1455 Russia 2020 5.495 10.162
## 1456 Rwanda 2006 4.215 7.111
## 1457 Rwanda 2008 4.363 7.239
## 1458 Rwanda 2009 4.030 7.273
## 1459 Rwanda 2011 4.097 7.369
## 1460 Rwanda 2012 3.333 7.428
## 1461 Rwanda 2013 3.466 7.449
## 1462 Rwanda 2014 3.596 7.484
## 1463 Rwanda 2015 3.483 7.544
## 1464 Rwanda 2016 3.333 7.576
## 1465 Rwanda 2017 3.108 7.588
## 1466 Rwanda 2018 3.561 7.644
## 1467 Rwanda 2019 3.268 7.708
## 1468 Saudi Arabia 2005 7.080 10.699
## 1469 Saudi Arabia 2007 7.267 10.689
## 1470 Saudi Arabia 2008 6.811 10.722
## 1471 Saudi Arabia 2009 6.148 10.673
## 1472 Saudi Arabia 2010 6.307 10.693
## 1473 Saudi Arabia 2011 6.700 10.758
## 1474 Saudi Arabia 2012 6.396 10.779
## 1475 Saudi Arabia 2013 6.495 10.776
## 1476 Saudi Arabia 2014 6.278 10.783
## 1477 Saudi Arabia 2015 6.345 10.798
## 1478 Saudi Arabia 2016 6.474 10.792
## 1479 Saudi Arabia 2017 6.294 10.764
## 1480 Saudi Arabia 2018 6.356 10.771
## 1481 Saudi Arabia 2019 6.561 10.757
## 1482 Saudi Arabia 2020 6.560 10.701
## 1483 Senegal 2006 4.417 7.881
## 1484 Senegal 2007 4.680 7.903
## 1485 Senegal 2008 4.683 7.916
## 1486 Senegal 2009 4.335 7.909
## 1487 Senegal 2010 4.372 7.917
## 1488 Senegal 2011 3.834 7.904
## 1489 Senegal 2012 3.669 7.926
## 1490 Senegal 2013 3.647 7.926
## 1491 Senegal 2014 4.395 7.961
## 1492 Senegal 2015 4.617 7.995
## 1493 Senegal 2016 4.595 8.029
## 1494 Senegal 2017 4.683 8.072
## 1495 Senegal 2018 4.769 8.106
## 1496 Senegal 2019 5.489 8.130
## 1497 Serbia 2007 4.750 9.532
## 1498 Serbia 2009 4.380 9.568
## 1499 Serbia 2010 4.461 9.579
## 1500 Serbia 2011 4.815 9.607
## 1501 Serbia 2012 5.155 9.605
## 1502 Serbia 2013 5.102 9.638
## 1503 Serbia 2014 5.113 9.627
## 1504 Serbia 2015 5.318 9.649
## 1505 Serbia 2016 5.753 9.688
## 1506 Serbia 2017 5.122 9.713
## 1507 Serbia 2018 5.936 9.762
## 1508 Serbia 2019 6.241 9.808
## 1509 Serbia 2020 6.042 9.788
## 1510 Sierra Leone 2006 3.628 7.136
## 1511 Sierra Leone 2007 3.585 7.187
## 1512 Sierra Leone 2008 2.997 7.215
## 1513 Sierra Leone 2010 4.134 7.254
## 1514 Sierra Leone 2011 4.502 7.292
## 1515 Sierra Leone 2013 4.514 7.577
## 1516 Sierra Leone 2014 4.500 7.600
## 1517 Sierra Leone 2015 4.909 7.347
## 1518 Sierra Leone 2016 4.733 7.384
## 1519 Sierra Leone 2017 4.090 7.404
## 1520 Sierra Leone 2018 4.306 7.417
## 1521 Sierra Leone 2019 3.447 7.449
## 1522 Singapore 2006 6.463 11.168
## 1523 Singapore 2007 6.834 11.212
## 1524 Singapore 2008 6.642 11.178
## 1525 Singapore 2009 6.145 11.149
## 1526 Singapore 2010 6.531 11.267
## 1527 Singapore 2011 6.561 11.307
## 1528 Singapore 2013 6.533 11.357
## 1529 Singapore 2014 7.062 11.383
## 1530 Singapore 2015 6.620 11.400
## 1531 Singapore 2016 6.033 11.419
## 1532 Singapore 2017 6.378 11.461
## 1533 Singapore 2018 6.375 11.490
## 1534 Singapore 2019 6.378 11.486
## 1535 Slovakia 2006 5.265 10.015
## 1536 Slovakia 2010 6.052 10.169
## 1537 Slovakia 2011 5.945 10.196
## 1538 Slovakia 2012 5.911 10.213
## 1539 Slovakia 2013 5.937 10.218
## 1540 Slovakia 2014 6.139 10.244
## 1541 Slovakia 2015 6.162 10.291
## 1542 Slovakia 2016 5.993 10.310
## 1543 Slovakia 2017 6.366 10.339
## 1544 Slovakia 2018 6.235 10.376
## 1545 Slovakia 2019 6.243 10.398
## 1546 Slovakia 2020 6.519 10.332
## 1547 Slovenia 2006 5.811 10.403
## 1548 Slovenia 2009 5.830 10.410
## 1549 Slovenia 2010 6.083 10.419
## 1550 Slovenia 2011 6.036 10.426
## 1551 Slovenia 2012 6.063 10.397
## 1552 Slovenia 2013 5.975 10.385
## 1553 Slovenia 2014 5.678 10.412
## 1554 Slovenia 2015 5.741 10.433
## 1555 Slovenia 2016 5.937 10.463
## 1556 Slovenia 2017 6.167 10.509
## 1557 Slovenia 2018 6.249 10.546
## 1558 Slovenia 2019 6.665 10.563
## 1559 Slovenia 2020 6.462 10.478
## 1560 Somalia 2014 5.528 NA
## 1561 Somalia 2015 5.354 NA
## 1562 Somalia 2016 4.668 NA
## 1563 Somaliland region 2009 4.991 NA
## 1564 Somaliland region 2010 4.657 NA
## 1565 Somaliland region 2011 4.931 NA
## 1566 Somaliland region 2012 5.057 NA
## 1567 South Africa 2006 5.084 9.386
## 1568 South Africa 2007 5.204 9.426
## 1569 South Africa 2008 5.346 9.444
## 1570 South Africa 2009 5.218 9.414
## 1571 South Africa 2010 4.652 9.430
## 1572 South Africa 2011 4.931 9.447
## 1573 South Africa 2012 5.134 9.453
## 1574 South Africa 2013 3.661 9.461
## 1575 South Africa 2014 4.828 9.464
## 1576 South Africa 2015 4.887 9.460
## 1577 South Africa 2016 4.770 9.450
## 1578 South Africa 2017 4.514 9.450
## 1579 South Africa 2018 4.884 9.444
## 1580 South Africa 2019 5.035 9.432
## 1581 South Africa 2020 4.947 9.332
## 1582 South Korea 2006 5.332 10.310
## 1583 South Korea 2007 5.767 10.361
## 1584 South Korea 2008 5.390 10.383
## 1585 South Korea 2009 5.648 10.386
## 1586 South Korea 2010 6.116 10.447
## 1587 South Korea 2011 6.947 10.475
## 1588 South Korea 2012 6.003 10.494
## 1589 South Korea 2013 5.959 10.520
## 1590 South Korea 2014 5.801 10.546
## 1591 South Korea 2015 5.780 10.568
## 1592 South Korea 2016 5.971 10.593
## 1593 South Korea 2017 5.874 10.621
## 1594 South Korea 2018 5.840 10.643
## 1595 South Korea 2019 5.903 10.661
## 1596 South Korea 2020 5.793 10.648
## 1597 South Sudan 2014 3.832 NA
## 1598 South Sudan 2015 4.071 NA
## 1599 South Sudan 2016 2.888 NA
## 1600 South Sudan 2017 2.817 NA
## 1601 Spain 2005 7.153 10.546
## 1602 Spain 2007 6.995 10.587
## 1603 Spain 2008 7.294 10.579
## 1604 Spain 2009 6.199 10.532
## 1605 Spain 2010 6.188 10.529
## 1606 Spain 2011 6.518 10.518
## 1607 Spain 2012 6.291 10.487
## 1608 Spain 2013 6.150 10.476
## 1609 Spain 2014 6.456 10.492
## 1610 Spain 2015 6.381 10.531
## 1611 Spain 2016 6.319 10.560
## 1612 Spain 2017 6.230 10.586
## 1613 Spain 2018 6.513 10.605
## 1614 Spain 2019 6.457 10.618
## 1615 Spain 2020 6.502 10.488
## 1616 Sri Lanka 2006 4.345 8.912
## 1617 Sri Lanka 2007 4.415 8.970
## 1618 Sri Lanka 2008 4.431 9.021
## 1619 Sri Lanka 2009 4.212 9.049
## 1620 Sri Lanka 2010 3.977 9.119
## 1621 Sri Lanka 2011 4.181 9.193
## 1622 Sri Lanka 2012 4.225 9.279
## 1623 Sri Lanka 2013 4.365 9.305
## 1624 Sri Lanka 2014 4.268 9.344
## 1625 Sri Lanka 2015 4.612 9.383
## 1626 Sri Lanka 2017 4.331 9.440
## 1627 Sri Lanka 2018 4.435 9.462
## 1628 Sri Lanka 2019 4.213 9.479
## 1629 Sudan 2009 4.455 8.106
## 1630 Sudan 2010 4.435 8.076
## 1631 Sudan 2011 4.314 8.204
## 1632 Sudan 2012 4.550 8.296
## 1633 Sudan 2014 4.139 8.317
## 1634 Suriname 2012 6.269 9.797
## 1635 Swaziland 2011 4.867 8.940
## 1636 Swaziland 2018 4.212 9.060
## 1637 Swaziland 2019 4.396 9.070
## 1638 Sweden 2005 7.376 10.739
## 1639 Sweden 2007 7.241 10.806
## 1640 Sweden 2008 7.516 10.793
## 1641 Sweden 2009 7.266 10.740
## 1642 Sweden 2010 7.496 10.790
## 1643 Sweden 2011 7.382 10.814
## 1644 Sweden 2012 7.560 10.800
## 1645 Sweden 2013 7.434 10.804
## 1646 Sweden 2014 7.239 10.820
## 1647 Sweden 2015 7.289 10.853
## 1648 Sweden 2016 7.369 10.861
## 1649 Sweden 2017 7.287 10.873
## 1650 Sweden 2018 7.375 10.881
## 1651 Sweden 2019 7.398 10.882
## 1652 Sweden 2020 7.314 10.838
## 1653 Switzerland 2006 7.473 11.050
## 1654 Switzerland 2009 7.525 11.055
## 1655 Switzerland 2012 7.776 11.079
## 1656 Switzerland 2014 7.493 11.098
## 1657 Switzerland 2015 7.572 11.100
## 1658 Switzerland 2016 7.459 11.106
## 1659 Switzerland 2017 7.474 11.115
## 1660 Switzerland 2018 7.509 11.134
## 1661 Switzerland 2019 7.694 11.136
## 1662 Switzerland 2020 7.508 11.081
## 1663 Syria 2008 5.323 8.652
## 1664 Syria 2009 4.979 8.654
## 1665 Syria 2010 4.465 8.729
## 1666 Syria 2011 4.038 8.727
## 1667 Syria 2012 3.164 8.563
## 1668 Syria 2013 2.688 8.396
## 1669 Syria 2015 3.462 8.442
## 1670 Taiwan Province of China 2006 6.189 10.613
## 1671 Taiwan Province of China 2008 5.548 10.606
## 1672 Taiwan Province of China 2010 6.229 10.691
## 1673 Taiwan Province of China 2011 6.309 10.705
## 1674 Taiwan Province of China 2012 6.126 10.716
## 1675 Taiwan Province of China 2013 6.340 10.750
## 1676 Taiwan Province of China 2014 6.363 10.798
## 1677 Taiwan Province of China 2015 6.450 10.842
## 1678 Taiwan Province of China 2016 6.513 10.855
## 1679 Taiwan Province of China 2017 6.359 10.871
## 1680 Taiwan Province of China 2018 6.467 NA
## 1681 Taiwan Province of China 2019 6.537 NA
## 1682 Taiwan Province of China 2020 6.751 NA
## 1683 Tajikistan 2006 4.613 7.554
## 1684 Tajikistan 2007 4.432 7.609
## 1685 Tajikistan 2008 5.064 7.665
## 1686 Tajikistan 2009 4.575 7.682
## 1687 Tajikistan 2010 4.381 7.723
## 1688 Tajikistan 2011 4.263 7.772
## 1689 Tajikistan 2012 4.497 7.821
## 1690 Tajikistan 2013 4.967 7.870
## 1691 Tajikistan 2014 4.896 7.911
## 1692 Tajikistan 2015 5.124 7.945
## 1693 Tajikistan 2016 5.104 7.987
## 1694 Tajikistan 2017 5.829 8.036
## 1695 Tajikistan 2018 5.497 8.082
## 1696 Tajikistan 2019 5.464 8.126
## 1697 Tajikistan 2020 5.373 8.080
## 1698 Tanzania 2006 3.922 7.485
## 1699 Tanzania 2007 4.318 7.522
## 1700 Tanzania 2008 4.385 7.549
## 1701 Tanzania 2009 3.408 7.572
## 1702 Tanzania 2010 3.229 7.604
## 1703 Tanzania 2011 4.074 7.649
## 1704 Tanzania 2012 4.007 7.663
## 1705 Tanzania 2013 3.852 7.699
## 1706 Tanzania 2014 3.483 7.734
## 1707 Tanzania 2015 3.661 7.764
## 1708 Tanzania 2016 2.903 7.800
## 1709 Tanzania 2017 3.347 7.836
## 1710 Tanzania 2018 3.445 7.859
## 1711 Tanzania 2019 3.640 7.886
## 1712 Tanzania 2020 3.786 7.881
## 1713 Thailand 2006 5.885 9.461
## 1714 Thailand 2007 5.784 9.508
## 1715 Thailand 2008 5.636 9.520
## 1716 Thailand 2009 5.476 9.508
## 1717 Thailand 2010 6.217 9.576
## 1718 Thailand 2011 6.664 9.579
## 1719 Thailand 2012 6.300 9.645
## 1720 Thailand 2013 6.231 9.667
## 1721 Thailand 2014 6.985 9.672
## 1722 Thailand 2015 6.202 9.699
## 1723 Thailand 2016 6.074 9.729
## 1724 Thailand 2017 5.939 9.765
## 1725 Thailand 2018 6.012 9.803
## 1726 Thailand 2019 6.022 9.824
## 1727 Thailand 2020 5.885 9.769
## 1728 Togo 2006 3.202 7.078
## 1729 Togo 2008 2.808 7.052
## 1730 Togo 2011 2.936 7.146
## 1731 Togo 2014 2.839 7.247
## 1732 Togo 2015 3.768 7.277
## 1733 Togo 2016 3.879 7.306
## 1734 Togo 2017 4.361 7.324
## 1735 Togo 2018 4.023 7.348
## 1736 Togo 2019 4.179 7.375
## 1737 Trinidad and Tobago 2006 5.832 10.224
## 1738 Trinidad and Tobago 2008 6.696 10.295
## 1739 Trinidad and Tobago 2011 6.519 10.263
## 1740 Trinidad and Tobago 2013 6.168 10.285
## 1741 Trinidad and Tobago 2017 6.192 10.183
## 1742 Tunisia 2009 5.025 9.197
## 1743 Tunisia 2010 5.131 9.222
## 1744 Tunisia 2011 4.876 9.192
## 1745 Tunisia 2012 4.464 9.222
## 1746 Tunisia 2013 5.246 9.240
## 1747 Tunisia 2014 4.764 9.260
## 1748 Tunisia 2015 5.132 9.261
## 1749 Tunisia 2016 4.521 9.262
## 1750 Tunisia 2017 4.124 9.269
## 1751 Tunisia 2018 4.741 9.284
## 1752 Tunisia 2019 4.315 9.283
## 1753 Tunisia 2020 4.731 9.231
## 1754 Turkey 2005 4.719 9.809
## 1755 Turkey 2007 5.623 9.903
## 1756 Turkey 2008 5.118 9.899
## 1757 Turkey 2009 5.213 9.838
## 1758 Turkey 2010 5.490 9.906
## 1759 Turkey 2011 5.272 9.996
## 1760 Turkey 2012 5.309 10.026
## 1761 Turkey 2013 4.888 10.091
## 1762 Turkey 2014 5.580 10.124
## 1763 Turkey 2015 5.514 10.166
## 1764 Turkey 2016 5.326 10.181
## 1765 Turkey 2017 5.607 10.238
## 1766 Turkey 2018 5.186 10.251
## 1767 Turkey 2019 4.872 10.246
## 1768 Turkey 2020 4.862 10.219
## 1769 Turkmenistan 2009 6.568 8.989
## 1770 Turkmenistan 2011 5.792 9.182
## 1771 Turkmenistan 2012 5.464 9.269
## 1772 Turkmenistan 2013 5.392 9.348
## 1773 Turkmenistan 2014 5.787 9.427
## 1774 Turkmenistan 2015 5.791 9.472
## 1775 Turkmenistan 2016 5.887 9.515
## 1776 Turkmenistan 2017 5.229 9.561
## 1777 Turkmenistan 2018 4.621 9.605
## 1778 Turkmenistan 2019 5.474 9.651
## 1779 Uganda 2006 3.734 7.370
## 1780 Uganda 2007 4.456 7.419
## 1781 Uganda 2008 4.569 7.471
## 1782 Uganda 2009 4.612 7.505
## 1783 Uganda 2010 4.193 7.528
## 1784 Uganda 2011 4.826 7.586
## 1785 Uganda 2012 4.309 7.592
## 1786 Uganda 2013 3.710 7.595
## 1787 Uganda 2014 3.770 7.611
## 1788 Uganda 2015 4.238 7.627
## 1789 Uganda 2016 4.233 7.637
## 1790 Uganda 2017 4.001 7.638
## 1791 Uganda 2018 4.322 7.660
## 1792 Uganda 2019 4.948 7.688
## 1793 Uganda 2020 4.641 7.684
## 1794 Ukraine 2006 4.804 9.380
## 1795 Ukraine 2007 5.252 9.459
## 1796 Ukraine 2008 5.172 9.488
## 1797 Ukraine 2009 5.166 9.332
## 1798 Ukraine 2010 5.058 9.374
## 1799 Ukraine 2011 5.083 9.431
## 1800 Ukraine 2012 5.030 9.436
## 1801 Ukraine 2013 4.711 9.438
## 1802 Ukraine 2014 4.297 9.426
## 1803 Ukraine 2015 3.965 9.327
## 1804 Ukraine 2016 4.029 9.353
## 1805 Ukraine 2017 4.311 9.382
## 1806 Ukraine 2018 4.662 9.420
## 1807 Ukraine 2019 4.702 9.458
## 1808 Ukraine 2020 5.270 9.428
## 1809 United Arab Emirates 2006 6.734 11.367
## 1810 United Arab Emirates 2009 6.866 10.975
## 1811 United Arab Emirates 2010 7.097 10.914
## 1812 United Arab Emirates 2011 7.119 10.935
## 1813 United Arab Emirates 2012 7.218 10.958
## 1814 United Arab Emirates 2013 6.621 11.001
## 1815 United Arab Emirates 2014 6.540 11.041
## 1816 United Arab Emirates 2015 6.568 11.086
## 1817 United Arab Emirates 2016 6.831 11.105
## 1818 United Arab Emirates 2017 7.039 11.115
## 1819 United Arab Emirates 2018 6.604 11.112
## 1820 United Arab Emirates 2019 6.711 11.114
## 1821 United Arab Emirates 2020 6.458 11.053
## 1822 United Kingdom 2005 6.984 10.663
## 1823 United Kingdom 2007 6.802 10.699
## 1824 United Kingdom 2008 6.986 10.689
## 1825 United Kingdom 2009 6.907 10.638
## 1826 United Kingdom 2010 7.029 10.649
## 1827 United Kingdom 2011 6.869 10.657
## 1828 United Kingdom 2012 6.881 10.664
## 1829 United Kingdom 2013 6.918 10.679
## 1830 United Kingdom 2014 6.758 10.697
## 1831 United Kingdom 2015 6.515 10.712
## 1832 United Kingdom 2016 6.824 10.724
## 1833 United Kingdom 2017 7.103 10.736
## 1834 United Kingdom 2018 7.233 10.743
## 1835 United Kingdom 2019 7.157 10.751
## 1836 United Kingdom 2020 6.798 10.626
## 1837 United States 2006 7.182 10.924
## 1838 United States 2007 7.513 10.933
## 1839 United States 2008 7.280 10.922
## 1840 United States 2009 7.158 10.888
## 1841 United States 2010 7.164 10.905
## 1842 United States 2011 7.115 10.913
## 1843 United States 2012 7.026 10.928
## 1844 United States 2013 7.249 10.939
## 1845 United States 2014 7.151 10.956
## 1846 United States 2015 6.864 10.977
## 1847 United States 2016 6.804 10.986
## 1848 United States 2017 6.992 11.001
## 1849 United States 2018 6.883 11.025
## 1850 United States 2019 6.944 11.043
## 1851 United States 2020 7.028 11.001
## 1852 Uruguay 2006 5.786 9.543
## 1853 Uruguay 2007 5.694 9.604
## 1854 Uruguay 2008 5.664 9.671
## 1855 Uruguay 2009 6.296 9.710
## 1856 Uruguay 2010 6.062 9.782
## 1857 Uruguay 2011 6.554 9.830
## 1858 Uruguay 2012 6.450 9.861
## 1859 Uruguay 2013 6.444 9.904
## 1860 Uruguay 2014 6.561 9.932
## 1861 Uruguay 2015 6.628 9.932
## 1862 Uruguay 2016 6.171 9.946
## 1863 Uruguay 2017 6.336 9.968
## 1864 Uruguay 2018 6.372 9.980
## 1865 Uruguay 2019 6.600 9.979
## 1866 Uruguay 2020 6.310 9.937
## 1867 Uzbekistan 2006 5.232 8.193
## 1868 Uzbekistan 2008 5.311 8.339
## 1869 Uzbekistan 2009 5.261 8.400
## 1870 Uzbekistan 2010 5.095 8.445
## 1871 Uzbekistan 2011 5.739 8.493
## 1872 Uzbekistan 2012 6.019 8.550
## 1873 Uzbekistan 2013 5.940 8.607
## 1874 Uzbekistan 2014 6.049 8.659
## 1875 Uzbekistan 2015 5.972 8.714
## 1876 Uzbekistan 2016 5.893 8.756
## 1877 Uzbekistan 2017 6.421 8.782
## 1878 Uzbekistan 2018 6.205 8.818
## 1879 Uzbekistan 2019 6.154 8.853
## 1880 Venezuela 2005 7.170 9.313
## 1881 Venezuela 2006 6.525 9.460
## 1882 Venezuela 2008 6.258 9.701
## 1883 Venezuela 2009 7.189 9.542
## 1884 Venezuela 2010 7.478 9.717
## 1885 Venezuela 2011 6.580 9.822
## 1886 Venezuela 2012 7.067 9.826
## 1887 Venezuela 2013 6.553 9.739
## 1888 Venezuela 2014 6.136 9.557
## 1889 Venezuela 2015 5.569 9.001
## 1890 Venezuela 2016 4.041 9.010
## 1891 Venezuela 2017 5.071 9.073
## 1892 Venezuela 2018 5.006 NA
## 1893 Venezuela 2019 5.081 NA
## 1894 Venezuela 2020 4.574 NA
## 1895 Vietnam 2006 5.294 8.335
## 1896 Vietnam 2007 5.422 8.394
## 1897 Vietnam 2008 5.480 8.440
## 1898 Vietnam 2009 5.304 8.483
## 1899 Vietnam 2010 5.296 8.535
## 1900 Vietnam 2011 5.767 8.585
## 1901 Vietnam 2012 5.535 8.626
## 1902 Vietnam 2013 5.023 8.668
## 1903 Vietnam 2014 5.085 8.716
## 1904 Vietnam 2015 5.076 8.770
## 1905 Vietnam 2016 5.062 8.820
## 1906 Vietnam 2017 5.175 8.876
## 1907 Vietnam 2018 5.296 8.934
## 1908 Vietnam 2019 5.467 8.992
## 1909 Yemen 2007 4.477 8.214
## 1910 Yemen 2009 4.809 8.278
## 1911 Yemen 2010 4.350 8.453
## 1912 Yemen 2011 3.746 8.336
## 1913 Yemen 2012 4.061 8.236
## 1914 Yemen 2013 4.218 8.242
## 1915 Yemen 2014 3.968 8.117
## 1916 Yemen 2015 2.983 7.858
## 1917 Yemen 2016 3.826 7.715
## 1918 Yemen 2017 3.254 7.578
## 1919 Yemen 2018 3.058 NA
## 1920 Yemen 2019 4.197 NA
## 1921 Zambia 2006 4.824 7.817
## 1922 Zambia 2007 3.998 7.871
## 1923 Zambia 2008 4.730 7.918
## 1924 Zambia 2009 5.260 7.978
## 1925 Zambia 2011 4.999 8.071
## 1926 Zambia 2012 5.013 8.114
## 1927 Zambia 2013 5.244 8.131
## 1928 Zambia 2014 4.346 8.146
## 1929 Zambia 2015 4.843 8.144
## 1930 Zambia 2016 4.348 8.151
## 1931 Zambia 2017 3.933 8.156
## 1932 Zambia 2018 4.041 8.167
## 1933 Zambia 2019 3.307 8.155
## 1934 Zambia 2020 4.838 8.117
## 1935 Zimbabwe 2006 3.826 7.711
## 1936 Zimbabwe 2007 3.280 7.666
## 1937 Zimbabwe 2008 3.174 7.461
## 1938 Zimbabwe 2009 4.056 7.563
## 1939 Zimbabwe 2010 4.682 7.729
## 1940 Zimbabwe 2011 4.846 7.846
## 1941 Zimbabwe 2012 4.955 7.983
## 1942 Zimbabwe 2013 4.690 7.985
## 1943 Zimbabwe 2014 4.184 7.991
## 1944 Zimbabwe 2015 3.703 7.992
## 1945 Zimbabwe 2016 3.735 7.984
## 1946 Zimbabwe 2017 3.638 8.016
## 1947 Zimbabwe 2018 3.616 8.049
## 1948 Zimbabwe 2019 2.694 7.950
## 1949 Zimbabwe 2020 3.160 7.829
## Social.support Healthy.life.expectancy.at.birth
## 1 0.451 50.800
## 2 0.552 51.200
## 3 0.539 51.600
## 4 0.521 51.920
## 5 0.521 52.240
## 6 0.484 52.560
## 7 0.526 52.880
## 8 0.529 53.200
## 9 0.559 53.000
## 10 0.491 52.800
## 11 0.508 52.600
## 12 0.420 52.400
## 13 0.821 65.800
## 14 0.833 66.200
## 15 0.733 66.400
## 16 0.759 66.680
## 17 0.785 66.960
## 18 0.759 67.240
## 19 0.626 67.520
## 20 0.639 67.800
## 21 0.638 68.100
## 22 0.638 68.400
## 23 0.684 68.700
## 24 0.686 69.000
## 25 0.710 69.300
## 26 NA 64.500
## 27 0.810 64.660
## 28 0.839 64.820
## 29 0.818 65.140
## 30 0.749 65.500
## 31 0.807 65.700
## 32 0.799 65.900
## 33 0.803 66.100
## 34 0.723 52.500
## 35 0.753 53.200
## 36 0.722 53.900
## 37 0.755 54.600
## 38 0.938 66.820
## 39 0.862 66.940
## 40 0.892 67.060
## 41 0.919 67.180
## 42 0.927 67.300
## 43 0.889 67.480
## 44 0.902 67.660
## 45 0.910 67.840
## 46 0.918 68.020
## 47 0.926 68.200
## 48 0.883 68.400
## 49 0.907 68.600
## 50 0.900 68.800
## 51 0.896 69.000
## 52 0.897 69.200
## 53 0.682 64.800
## 54 0.760 64.900
## 55 0.709 65.000
## 56 0.680 65.100
## 57 0.660 65.200
## 58 0.705 65.360
## 59 0.676 65.520
## 60 0.723 65.680
## 61 0.739 65.840
## 62 0.723 66.000
## 63 0.709 66.300
## 64 0.698 66.600
## 65 0.814 66.900
## 66 0.782 67.200
## 67 0.968 71.400
## 68 0.965 71.720
## 69 0.947 71.880
## 70 0.955 72.200
## 71 0.967 72.300
## 72 0.945 72.400
## 73 0.928 72.500
## 74 0.924 72.600
## 75 0.952 72.700
## 76 0.942 73.000
## 77 0.950 73.300
## 78 0.940 73.600
## 79 0.943 73.900
## 80 0.937 74.200
## 81 0.936 70.760
## 82 0.935 71.080
## 83 0.914 71.400
## 84 0.944 71.540
## 85 0.945 71.680
## 86 0.950 71.820
## 87 0.899 71.960
## 88 0.928 72.100
## 89 0.926 72.400
## 90 0.906 72.700
## 91 0.912 73.000
## 92 0.964 73.300
## 93 0.925 73.600
## 94 0.854 61.880
## 95 0.753 62.260
## 96 0.684 62.640
## 97 0.736 63.020
## 98 0.687 63.400
## 99 0.725 63.640
## 100 0.762 63.880
## 101 0.770 64.120
## 102 0.799 64.360
## 103 0.786 64.600
## 104 0.777 64.900
## 105 0.787 65.200
## 106 0.781 65.500
## 107 0.887 65.800
## 108 0.904 65.940
## 109 0.877 66.300
## 110 0.908 66.580
## 111 0.911 66.860
## 112 0.884 67.140
## 113 NA 67.420
## 114 0.853 67.700
## 115 0.863 68.100
## 116 0.876 68.500
## 117 0.878 69.300
## 118 0.848 69.700
## 119 0.672 59.020
## 120 0.514 59.440
## 121 0.467 59.860
## 122 0.528 60.280
## 123 0.549 60.700
## 124 0.606 61.120
## 125 0.582 61.540
## 126 0.530 61.960
## 127 0.577 62.380
## 128 0.601 62.800
## 129 0.649 63.300
## 130 0.713 63.800
## 131 0.706 64.300
## 132 0.673 64.800
## 133 0.739 65.300
## 134 0.918 61.100
## 135 0.858 61.400
## 136 0.904 61.700
## 137 0.908 62.000
## 138 0.918 62.300
## 139 0.910 62.880
## 140 0.902 63.460
## 141 0.923 64.040
## 142 0.880 64.620
## 143 0.924 65.200
## 144 0.927 65.500
## 145 0.900 65.800
## 146 0.905 66.100
## 147 0.917 66.400
## 148 0.935 69.900
## 149 0.922 70.260
## 150 0.923 70.440
## 151 0.931 70.800
## 152 0.937 70.920
## 153 0.927 71.040
## 154 0.909 71.160
## 155 0.944 71.280
## 156 0.885 71.400
## 157 0.929 71.600
## 158 0.922 71.800
## 159 0.930 72.000
## 160 0.884 72.200
## 161 0.904 72.400
## 162 0.872 61.600
## 163 0.757 62.220
## 164 0.445 50.100
## 165 0.382 50.900
## 166 0.477 51.980
## 167 0.523 52.260
## 168 0.577 52.540
## 169 0.506 52.820
## 170 0.434 53.100
## 171 0.493 53.500
## 172 0.436 53.900
## 173 0.504 54.300
## 174 0.442 54.700
## 175 0.507 55.100
## 176 0.819 59.600
## 177 0.880 59.900
## 178 0.848 60.200
## 179 0.834 59.000
## 180 0.796 59.500
## 181 0.785 60.000
## 182 0.831 60.500
## 183 0.807 61.000
## 184 0.817 61.340
## 185 0.781 61.680
## 186 0.803 62.020
## 187 0.821 62.360
## 188 0.829 62.700
## 189 0.796 63.000
## 190 0.779 63.300
## 191 0.827 63.600
## 192 0.784 63.900
## 193 0.805 64.200
## 194 0.766 66.040
## 195 0.735 66.480
## 196 0.773 66.700
## 197 0.725 66.740
## 198 0.779 66.780
## 199 0.767 66.820
## 200 0.788 66.860
## 201 0.656 66.900
## 202 0.808 67.200
## 203 0.775 67.500
## 204 0.836 67.800
## 205 0.873 68.100
## 206 0.899 68.400
## 207 0.883 46.820
## 208 0.832 49.860
## 209 0.866 52.900
## 210 0.860 53.680
## 211 0.837 54.460
## 212 0.856 55.240
## 213 0.859 56.020
## 214 0.816 56.800
## 215 0.768 57.500
## 216 0.768 58.200
## 217 0.795 58.900
## 218 0.774 59.600
## 219 0.883 63.300
## 220 0.886 63.780
## 221 0.878 64.020
## 222 0.913 64.260
## 223 0.906 64.500
## 224 0.916 64.760
## 225 0.890 65.020
## 226 0.910 65.280
## 227 0.898 65.540
## 228 0.907 65.800
## 229 0.912 66.000
## 230 0.905 66.200
## 231 0.882 66.400
## 232 0.899 66.600
## 233 0.831 66.800
## 234 0.832 65.100
## 235 0.843 65.700
## 236 0.860 65.800
## 237 0.838 65.900
## 238 0.829 66.000
## 239 0.886 66.100
## 240 0.908 66.200
## 241 0.926 66.400
## 242 0.942 66.600
## 243 0.924 66.800
## 244 0.948 67.000
## 245 0.916 67.200
## 246 0.796 46.660
## 247 0.771 47.420
## 248 0.727 48.180
## 249 0.773 49.700
## 250 0.710 50.240
## 251 0.744 50.780
## 252 0.745 51.320
## 253 0.742 51.860
## 254 0.705 52.400
## 255 0.764 52.900
## 256 0.785 53.400
## 257 0.665 53.900
## 258 0.683 54.400
## 259 0.291 49.020
## 260 0.326 49.660
## 261 0.422 50.680
## 262 0.565 51.820
## 263 0.485 53.400
## 264 0.793 55.300
## 265 0.675 56.100
## 266 0.619 56.900
## 267 0.818 57.700
## 268 0.697 58.500
## 269 0.716 58.880
## 270 0.606 59.260
## 271 0.651 59.640
## 272 0.693 60.020
## 273 0.729 60.400
## 274 0.746 60.800
## 275 0.765 61.200
## 276 0.795 61.600
## 277 0.759 62.000
## 278 0.724 62.400
## 279 0.690 45.980
## 280 0.717 46.560
## 281 0.697 47.140
## 282 0.729 47.720
## 283 0.759 48.300
## 284 0.738 48.700
## 285 0.743 49.100
## 286 0.760 49.500
## 287 0.778 49.900
## 288 0.646 50.300
## 289 0.659 51.100
## 290 0.695 51.900
## 291 0.677 52.700
## 292 0.711 53.500
## 293 0.720 54.300
## 294 0.962 71.300
## 295 NA 71.660
## 296 0.939 71.840
## 297 0.943 72.020
## 298 0.954 72.200
## 299 0.922 72.360
## 300 0.948 72.520
## 301 0.936 72.680
## 302 0.918 72.840
## 303 0.939 73.000
## 304 0.924 73.200
## 305 0.934 73.400
## 306 0.923 73.600
## 307 0.925 73.800
## 308 0.931 74.000
## 309 0.532 40.900
## 310 0.483 42.700
## 311 0.387 43.080
## 312 0.290 44.900
## 313 0.320 45.200
## 314 0.724 43.180
## 315 0.479 43.660
## 316 0.571 44.140
## 317 0.646 44.620
## 318 0.734 45.100
## 319 0.819 45.420
## 320 0.673 45.740
## 321 0.714 46.060
## 322 0.733 46.380
## 323 0.751 46.700
## 324 0.616 47.200
## 325 0.661 47.700
## 326 0.577 48.200
## 327 0.640 48.700
## 328 0.836 68.660
## 329 0.815 68.720
## 330 0.804 68.780
## 331 0.832 68.840
## 332 0.857 68.900
## 333 0.819 69.040
## 334 0.855 69.180
## 335 0.862 69.320
## 336 0.862 69.460
## 337 0.827 69.600
## 338 0.841 69.700
## 339 0.880 69.800
## 340 0.890 69.900
## 341 0.869 70.000
## 342 0.888 70.100
## 343 0.747 66.880
## 344 0.811 67.060
## 345 0.748 67.240
## 346 0.798 67.420
## 347 0.768 67.600
## 348 0.787 67.760
## 349 0.788 67.920
## 350 0.778 68.080
## 351 0.820 68.240
## 352 0.794 68.400
## 353 0.742 68.700
## 354 0.772 69.000
## 355 0.788 69.300
## 356 0.822 69.600
## 357 0.808 69.900
## 358 0.910 65.220
## 359 0.894 65.340
## 360 0.880 65.460
## 361 0.886 65.580
## 362 0.893 65.700
## 363 0.904 65.920
## 364 0.914 66.140
## 365 0.901 66.360
## 366 0.907 66.580
## 367 0.890 66.800
## 368 0.882 67.100
## 369 0.909 67.400
## 370 0.871 67.700
## 371 0.873 68.000
## 372 0.797 68.300
## 373 0.629 54.360
## 374 0.721 54.700
## 375 0.722 55.020
## 376 0.719 55.340
## 377 0.621 57.200
## 378 0.632 57.500
## 379 0.555 52.200
## 380 0.637 54.580
## 381 0.622 54.960
## 382 0.680 55.340
## 383 0.686 55.720
## 384 0.642 56.100
## 385 0.615 56.700
## 386 0.655 57.300
## 387 0.621 57.900
## 388 0.625 58.500
## 389 0.733 49.340
## 390 0.744 50.340
## 391 0.770 50.780
## 392 0.830 51.220
## 393 0.822 51.660
## 394 0.767 52.100
## 395 0.864 52.500
## 396 0.670 52.900
## 397 0.937 69.940
## 398 0.918 69.880
## 399 0.916 69.820
## 400 0.900 69.760
## 401 0.915 69.700
## 402 0.892 69.900
## 403 0.902 70.100
## 404 0.902 70.300
## 405 0.914 70.500
## 406 0.878 70.700
## 407 0.901 70.900
## 408 0.922 71.100
## 409 0.876 71.300
## 410 0.906 71.500
## 411 0.910 67.120
## 412 0.861 67.640
## 413 0.796 67.900
## 414 0.790 68.000
## 415 0.776 68.100
## 416 0.751 68.200
## 417 0.646 68.300
## 418 0.768 68.400
## 419 0.798 69.000
## 420 0.770 69.600
## 421 0.910 70.200
## 422 0.936 70.800
## 423 0.923 71.400
## 424 0.970 68.440
## 425 0.878 71.440
## 426 0.812 72.160
## 427 0.822 72.400
## 428 0.844 72.540
## 429 0.767 72.680
## 430 0.744 72.820
## 431 0.770 72.960
## 432 0.770 73.100
## 433 0.786 73.300
## 434 0.819 73.500
## 435 0.826 73.700
## 436 0.776 73.900
## 437 0.806 74.100
## 438 0.919 67.000
## 439 0.900 67.440
## 440 0.934 68.100
## 441 0.914 68.240
## 442 0.912 68.380
## 443 0.888 68.520
## 444 0.878 68.660
## 445 0.911 68.800
## 446 0.931 69.300
## 447 0.901 69.800
## 448 0.929 70.300
## 449 0.964 71.300
## 450 0.972 69.600
## 451 0.954 69.920
## 452 0.954 70.080
## 453 0.939 70.240
## 454 0.975 70.400
## 455 0.962 70.620
## 456 0.951 70.840
## 457 0.965 71.060
## 458 0.956 71.280
## 459 0.960 71.500
## 460 0.954 71.800
## 461 0.952 72.100
## 462 0.958 72.400
## 463 0.958 72.700
## 464 0.947 73.000
## 465 0.690 53.260
## 466 0.901 53.780
## 467 NA 54.300
## 468 0.633 54.700
## 469 0.919 62.680
## 470 0.848 62.960
## 471 0.850 63.240
## 472 0.878 63.520
## 473 0.860 63.800
## 474 0.872 64.020
## 475 0.879 64.240
## 476 0.878 64.460
## 477 0.891 64.680
## 478 0.893 64.900
## 479 0.895 65.200
## 480 0.894 65.500
## 481 0.862 65.800
## 482 0.884 66.100
## 483 0.806 66.400
## 484 0.910 66.080
## 485 0.839 66.260
## 486 0.829 66.440
## 487 0.779 66.620
## 488 0.839 66.800
## 489 0.818 66.960
## 490 0.785 67.120
## 491 0.801 67.280
## 492 0.831 67.440
## 493 0.856 67.600
## 494 0.842 67.900
## 495 0.849 68.200
## 496 0.851 68.500
## 497 0.808 68.800
## 498 0.804 69.100
## 499 0.848 59.700
## 500 0.686 59.820
## 501 0.738 59.880
## 502 0.744 59.940
## 503 0.769 60.000
## 504 0.753 60.160
## 505 0.737 60.320
## 506 0.675 60.480
## 507 0.619 60.640
## 508 0.730 60.800
## 509 0.809 61.100
## 510 0.638 61.400
## 511 0.759 61.700
## 512 0.772 62.000
## 513 0.673 62.300
## 514 0.878 62.920
## 515 0.717 63.240
## 516 0.747 63.560
## 517 0.734 63.880
## 518 0.757 64.200
## 519 0.731 64.400
## 520 0.806 64.600
## 521 0.827 64.800
## 522 0.798 65.000
## 523 0.791 65.200
## 524 0.794 65.500
## 525 0.829 65.800
## 526 0.820 66.100
## 527 0.764 66.400
## 528 0.696 66.700
## 529 0.910 64.860
## 530 0.896 65.320
## 531 0.904 65.780
## 532 0.874 66.240
## 533 0.909 66.960
## 534 0.889 67.220
## 535 0.901 67.480
## 536 0.917 67.740
## 537 0.918 68.000
## 538 0.938 68.200
## 539 0.936 68.400
## 540 0.933 68.600
## 541 0.934 68.800
## 542 0.958 69.000
## 543 0.659 55.200
## 544 0.602 55.800
## 545 0.640 56.400
## 546 0.626 57.000
## 547 0.719 57.500
## 548 0.734 58.000
## 549 0.740 58.500
## 550 0.748 59.000
## 551 0.823 59.500
## 552 0.965 69.760
## 553 0.951 70.080
## 554 0.935 70.400
## 555 0.938 70.640
## 556 0.928 70.880
## 557 0.941 71.120
## 558 0.952 71.360
## 559 0.948 71.600
## 560 0.954 71.700
## 561 0.964 71.800
## 562 0.962 71.900
## 563 0.937 72.000
## 564 0.962 72.100
## 565 0.940 71.300
## 566 0.944 71.480
## 567 0.935 71.840
## 568 0.918 72.020
## 569 0.943 72.200
## 570 0.921 72.400
## 571 0.937 72.600
## 572 0.908 72.800
## 573 0.878 73.000
## 574 0.896 73.200
## 575 0.885 73.400
## 576 0.931 73.600
## 577 0.921 73.800
## 578 0.958 74.000
## 579 0.947 74.200
## 580 0.653 55.480
## 581 0.736 56.160
## 582 0.733 56.840
## 583 0.829 57.520
## 584 0.756 58.200
## 585 0.780 58.700
## 586 0.807 59.200
## 587 0.785 59.700
## 588 0.763 60.200
## 589 0.697 54.700
## 590 0.685 55.000
## 591 0.694 55.300
## 592 0.647 65.120
## 593 0.548 65.040
## 594 0.608 64.960
## 595 0.544 64.880
## 596 0.540 64.800
## 597 0.503 64.860
## 598 0.533 64.920
## 599 0.559 64.980
## 600 0.558 65.040
## 601 0.517 65.100
## 602 0.533 64.900
## 603 0.590 64.700
## 604 0.617 64.500
## 605 0.675 64.300
## 606 0.718 64.100
## 607 0.963 70.200
## 608 0.926 70.480
## 609 0.923 70.620
## 610 0.935 70.760
## 611 0.939 70.900
## 612 0.947 70.980
## 613 0.926 71.060
## 614 0.931 71.140
## 615 0.938 71.220
## 616 0.926 71.300
## 617 0.906 71.600
## 618 0.892 71.900
## 619 0.920 72.200
## 620 0.886 72.500
## 621 0.905 72.800
## 622 0.728 52.340
## 623 0.730 52.780
## 624 0.622 53.220
## 625 0.633 53.660
## 626 0.739 54.100
## 627 0.724 54.480
## 628 0.685 54.860
## 629 0.676 55.240
## 630 0.651 55.620
## 631 0.687 56.000
## 632 0.647 56.400
## 633 0.669 56.800
## 634 0.761 57.200
## 635 0.746 57.600
## 636 0.643 58.000
## 637 0.837 70.500
## 638 0.808 70.900
## 639 0.793 71.300
## 640 0.868 71.500
## 641 0.852 71.560
## 642 0.812 71.620
## 643 0.687 71.680
## 644 0.832 71.740
## 645 0.835 71.800
## 646 0.803 72.000
## 647 0.753 72.200
## 648 0.794 72.400
## 649 0.891 72.600
## 650 0.779 72.800
## 651 0.830 60.740
## 652 0.866 61.080
## 653 0.866 61.420
## 654 0.834 61.760
## 655 0.859 62.100
## 656 0.768 62.460
## 657 0.802 62.820
## 658 0.830 63.180
## 659 0.834 63.540
## 660 0.823 63.900
## 661 0.811 64.200
## 662 0.826 64.500
## 663 0.841 64.800
## 664 0.774 65.100
## 665 0.598 50.220
## 666 0.542 50.440
## 667 0.567 50.660
## 668 0.638 50.880
## 669 0.579 51.100
## 670 0.675 52.200
## 671 0.634 53.300
## 672 0.630 54.400
## 673 0.655 55.500
## 674 0.849 57.260
## 675 0.694 48.460
## 676 0.679 40.380
## 677 0.554 32.300
## 678 0.567 36.860
## 679 0.749 41.420
## 680 0.648 45.980
## 681 0.554 50.540
## 682 0.564 55.100
## 683 0.584 55.300
## 684 0.647 55.500
## 685 0.538 55.700
## 686 0.933 64.540
## 687 0.819 64.780
## 688 0.828 65.020
## 689 0.824 65.260
## 690 0.803 65.500
## 691 0.766 65.720
## 692 0.779 65.940
## 693 0.792 66.160
## 694 0.790 66.380
## 695 0.772 66.600
## 696 0.774 66.800
## 697 0.843 67.000
## 698 0.827 67.200
## 699 0.797 67.400
## 700 0.812 NA
## 701 0.840 NA
## 702 0.835 NA
## 703 0.857 NA
## 704 0.846 NA
## 705 0.826 NA
## 706 0.834 NA
## 707 0.832 NA
## 708 0.831 NA
## 709 0.856 NA
## 710 0.813 NA
## 711 0.930 64.600
## 712 0.931 65.000
## 713 0.901 65.400
## 714 0.896 65.600
## 715 0.894 65.760
## 716 0.906 65.920
## 717 0.877 66.080
## 718 0.845 66.240
## 719 0.859 66.400
## 720 0.900 66.800
## 721 0.877 67.200
## 722 0.941 67.600
## 723 0.947 68.000
## 724 0.943 68.400
## 725 0.977 72.320
## 726 0.979 72.760
## 727 0.967 72.840
## 728 0.980 73.000
## 729 0.985 73.000
## 730 0.967 73.000
## 731 0.982 73.000
## 732 0.983 73.000
## 733 0.707 55.720
## 734 0.569 56.140
## 735 0.684 56.560
## 736 0.653 56.980
## 737 0.605 57.400
## 738 0.553 57.700
## 739 0.511 58.000
## 740 0.553 58.300
## 741 0.621 58.600
## 742 0.610 58.900
## 743 0.614 59.300
## 744 0.607 59.700
## 745 0.638 60.100
## 746 0.561 60.500
## 747 0.617 60.900
## 748 0.771 59.840
## 749 0.704 59.980
## 750 0.675 60.120
## 751 0.779 60.260
## 752 0.816 60.400
## 753 0.825 60.620
## 754 0.834 60.840
## 755 0.794 61.060
## 756 0.905 61.280
## 757 0.809 61.500
## 758 0.792 61.700
## 759 0.796 61.900
## 760 0.809 62.100
## 761 0.802 62.300
## 762 0.766 62.000
## 763 0.718 62.760
## 764 0.633 63.140
## 765 0.582 64.140
## 766 0.600 64.380
## 767 0.664 64.620
## 768 0.644 64.860
## 769 0.572 65.100
## 770 0.566 65.400
## 771 0.714 65.700
## 772 0.674 66.000
## 773 0.698 66.300
## 774 0.757 66.600
## 775 0.744 58.320
## 776 0.862 58.960
## 777 0.854 59.600
## 778 0.751 59.360
## 779 0.730 59.120
## 780 0.728 58.880
## 781 0.725 58.640
## 782 0.684 58.400
## 783 0.719 59.000
## 784 0.695 59.600
## 785 0.764 60.200
## 786 0.708 61.400
## 787 0.967 70.140
## 788 0.983 70.820
## 789 0.959 71.160
## 790 0.973 71.500
## 791 0.977 71.600
## 792 0.962 71.700
## 793 0.955 71.800
## 794 0.968 71.900
## 795 0.953 72.000
## 796 0.958 72.100
## 797 0.943 72.200
## 798 0.938 72.300
## 799 0.944 72.400
## 800 0.960 72.500
## 801 0.927 71.120
## 802 0.868 71.440
## 803 0.859 71.760
## 804 0.937 72.080
## 805 0.882 72.400
## 806 0.893 72.460
## 807 0.903 72.520
## 808 0.909 72.580
## 809 0.889 72.640
## 810 0.864 72.700
## 811 0.890 72.900
## 812 0.916 73.100
## 813 0.910 73.300
## 814 0.946 73.500
## 815 0.959 73.700
## 816 0.928 71.900
## 817 0.912 72.260
## 818 0.880 72.440
## 819 0.880 72.620
## 820 0.872 72.800
## 821 0.913 72.840
## 822 0.869 72.880
## 823 0.916 72.920
## 824 0.898 72.960
## 825 0.909 73.000
## 826 0.927 73.200
## 827 0.920 73.400
## 828 0.913 73.600
## 829 0.838 73.800
## 830 0.890 74.000
## 831 0.667 45.780
## 832 0.709 47.100
## 833 0.711 47.400
## 834 0.704 47.700
## 835 0.617 48.300
## 836 0.661 48.900
## 837 0.621 49.500
## 838 0.679 50.100
## 839 0.613 50.700
## 840 0.909 64.900
## 841 0.855 66.220
## 842 0.865 66.460
## 843 0.874 66.580
## 844 0.913 67.100
## 845 0.878 67.500
## 846 0.928 73.200
## 847 0.938 73.440
## 848 0.887 73.560
## 849 0.888 73.680
## 850 0.902 73.800
## 851 0.917 73.980
## 852 0.905 74.160
## 853 0.924 74.340
## 854 0.900 74.520
## 855 0.923 74.700
## 856 0.900 74.800
## 857 0.882 74.900
## 858 0.886 75.000
## 859 0.878 75.100
## 860 0.887 75.200
## 861 0.920 63.500
## 862 0.841 63.980
## 863 0.766 64.220
## 864 0.899 64.460
## 865 0.918 64.700
## 866 0.878 65.000
## 867 0.829 65.300
## 868 0.840 65.600
## 869 0.816 65.900
## 870 0.830 66.200
## 871 0.820 66.400
## 872 0.815 66.600
## 873 0.800 66.800
## 874 0.793 67.000
## 875 0.709 67.200
## 876 0.872 58.200
## 877 0.861 58.700
## 878 0.839 59.200
## 879 0.893 59.700
## 880 0.904 60.200
## 881 0.905 60.720
## 882 0.892 61.240
## 883 0.889 61.760
## 884 0.795 62.280
## 885 0.931 62.800
## 886 0.928 63.400
## 887 0.914 64.000
## 888 0.937 64.600
## 889 0.951 65.200
## 890 0.966 65.800
## 891 0.909 50.220
## 892 0.841 51.540
## 893 0.827 52.860
## 894 0.789 54.180
## 895 0.805 55.500
## 896 0.846 56.060
## 897 0.831 56.620
## 898 0.825 57.180
## 899 0.765 57.740
## 900 0.777 58.300
## 901 0.706 58.900
## 902 0.715 59.500
## 903 0.707 60.100
## 904 0.676 60.700
## 905 0.674 61.300
## 906 0.848 NA
## 907 0.884 NA
## 908 0.830 NA
## 909 0.708 NA
## 910 0.759 NA
## 911 0.757 NA
## 912 0.721 NA
## 913 0.706 NA
## 914 0.805 NA
## 915 0.824 NA
## 916 0.792 NA
## 917 0.822 NA
## 918 0.843 NA
## 919 0.792 NA
## 920 0.919 63.960
## 921 0.926 64.440
## 922 0.893 64.600
## 923 0.882 64.900
## 924 0.889 65.200
## 925 0.862 65.500
## 926 NA 65.800
## 927 0.823 66.100
## 928 0.845 66.300
## 929 0.853 66.500
## 930 0.842 66.900
## 931 0.844 59.980
## 932 0.833 60.260
## 933 0.792 60.540
## 934 0.855 60.820
## 935 0.885 61.100
## 936 0.891 61.520
## 937 0.856 61.940
## 938 0.851 62.360
## 939 0.898 62.780
## 940 0.857 63.200
## 941 0.914 63.500
## 942 0.883 63.800
## 943 0.898 64.100
## 944 0.877 64.400
## 945 0.902 64.700
## 946 0.807 53.920
## 947 0.790 54.440
## 948 0.807 54.960
## 949 0.691 56.300
## 950 0.693 56.600
## 951 0.707 58.300
## 952 0.705 58.700
## 953 0.729 59.100
## 954 0.660 59.500
## 955 0.884 63.160
## 956 0.836 63.520
## 957 0.855 63.880
## 958 0.807 64.240
## 959 0.836 64.860
## 960 0.851 65.120
## 961 0.834 65.380
## 962 0.881 65.640
## 963 0.879 65.900
## 964 0.917 66.200
## 965 0.895 66.500
## 966 0.913 66.800
## 967 0.936 67.100
## 968 0.928 67.400
## 969 0.796 64.600
## 970 0.853 64.720
## 971 0.717 64.960
## 972 0.736 65.080
## 973 0.721 65.200
## 974 0.733 65.280
## 975 0.713 65.360
## 976 0.708 65.440
## 977 0.759 65.520
## 978 0.742 65.600
## 979 0.828 66.100
## 980 0.777 66.600
## 981 0.829 67.100
## 982 0.866 67.600
## 983 0.824 45.740
## 984 0.798 46.600
## 985 0.769 47.300
## 986 0.790 48.700
## 987 0.594 49.140
## 988 0.619 49.960
## 989 0.827 51.600
## 990 0.708 53.280
## 991 0.638 53.700
## 992 0.643 54.500
## 993 0.685 55.300
## 994 0.727 56.100
## 995 0.712 56.900
## 996 0.855 62.660
## 997 0.868 62.300
## 998 0.876 62.300
## 999 0.823 62.300
## 1000 0.824 62.300
## 1001 0.827 62.300
## 1002 0.930 63.140
## 1003 0.941 63.480
## 1004 0.914 63.820
## 1005 0.933 64.160
## 1006 0.882 64.500
## 1007 0.911 64.700
## 1008 0.919 64.900
## 1009 0.913 65.100
## 1010 0.908 65.300
## 1011 0.929 65.500
## 1012 0.938 66.100
## 1013 0.926 66.700
## 1014 0.929 67.300
## 1015 0.918 67.900
## 1016 0.953 68.500
## 1017 0.939 71.440
## 1018 0.952 71.700
## 1019 0.934 71.880
## 1020 0.914 72.060
## 1021 0.917 72.240
## 1022 0.875 72.420
## 1023 0.934 72.600
## 1024 0.941 72.600
## 1025 0.905 72.600
## 1026 0.902 72.600
## 1027 0.912 72.600
## 1028 0.711 54.040
## 1029 0.776 54.920
## 1030 0.818 56.220
## 1031 0.673 56.640
## 1032 0.673 57.060
## 1033 0.655 57.480
## 1034 0.647 57.900
## 1035 0.746 58.300
## 1036 0.626 58.700
## 1037 0.666 59.100
## 1038 0.701 59.500
## 1039 0.554 44.880
## 1040 0.600 46.260
## 1041 0.718 49.020
## 1042 0.613 51.420
## 1043 0.604 52.440
## 1044 0.563 53.460
## 1045 0.512 54.480
## 1046 0.494 55.500
## 1047 0.524 56.200
## 1048 0.555 56.900
## 1049 0.528 57.600
## 1050 0.549 58.300
## 1051 0.866 64.960
## 1052 0.871 65.120
## 1053 0.803 65.280
## 1054 0.792 65.440
## 1055 0.839 65.600
## 1056 0.770 65.760
## 1057 0.841 65.920
## 1058 0.831 66.080
## 1059 0.863 66.240
## 1060 0.818 66.400
## 1061 0.789 67.000
## 1062 0.842 67.200
## 1063 0.913 70.600
## 1064 0.761 45.920
## 1065 0.747 47.160
## 1066 0.733 47.780
## 1067 0.751 48.400
## 1068 0.796 48.760
## 1069 0.823 49.120
## 1070 0.820 49.480
## 1071 0.843 49.840
## 1072 0.830 50.200
## 1073 0.836 50.700
## 1074 0.741 51.200
## 1075 0.692 51.700
## 1076 0.755 52.200
## 1077 0.916 71.380
## 1078 0.908 71.600
## 1079 0.923 71.720
## 1080 0.922 71.840
## 1081 0.942 71.960
## 1082 0.941 72.080
## 1083 0.919 72.200
## 1084 0.930 72.200
## 1085 0.937 72.200
## 1086 0.932 72.200
## 1087 0.922 72.200
## 1088 0.938 72.200
## 1089 0.682 53.660
## 1090 0.670 53.940
## 1091 0.819 54.220
## 1092 0.857 54.500
## 1093 0.750 54.820
## 1094 0.763 55.140
## 1095 0.741 55.460
## 1096 0.853 55.780
## 1097 0.875 56.100
## 1098 0.785 56.400
## 1099 0.779 56.700
## 1100 0.802 57.000
## 1101 0.798 57.300
## 1102 0.800 64.700
## 1103 0.785 65.300
## 1104 0.836 65.800
## 1105 0.910 66.100
## 1106 0.909 66.400
## 1107 0.913 66.700
## 1108 0.893 67.000
## 1109 0.903 66.200
## 1110 0.879 66.320
## 1111 0.876 66.380
## 1112 0.868 66.440
## 1113 0.876 66.500
## 1114 0.824 66.680
## 1115 0.767 66.860
## 1116 0.759 67.040
## 1117 0.782 67.220
## 1118 0.761 67.400
## 1119 0.893 67.700
## 1120 0.800 68.000
## 1121 0.858 68.300
## 1122 0.852 68.600
## 1123 0.779 68.900
## 1124 0.812 60.580
## 1125 0.804 60.760
## 1126 0.872 60.940
## 1127 0.856 61.120
## 1128 0.847 61.300
## 1129 0.869 61.620
## 1130 0.826 61.940
## 1131 0.803 62.260
## 1132 0.805 62.580
## 1133 0.840 62.900
## 1134 0.837 63.600
## 1135 0.831 64.300
## 1136 0.892 65.000
## 1137 0.809 65.700
## 1138 0.874 66.400
## 1139 0.881 58.820
## 1140 0.920 59.280
## 1141 0.904 60.200
## 1142 0.948 60.500
## 1143 0.919 60.800
## 1144 0.935 61.100
## 1145 0.943 61.400
## 1146 0.906 61.700
## 1147 0.947 61.900
## 1148 0.924 62.100
## 1149 0.942 62.300
## 1150 0.946 62.500
## 1151 0.918 62.700
## 1152 0.832 66.200
## 1153 0.816 66.800
## 1154 0.805 67.100
## 1155 0.818 67.260
## 1156 0.704 67.420
## 1157 0.736 67.580
## 1158 0.863 67.740
## 1159 0.740 67.900
## 1160 0.866 68.100
## 1161 0.881 68.300
## 1162 0.856 68.500
## 1163 0.832 68.700
## 1164 0.887 68.900
## 1165 NA 63.500
## 1166 0.833 63.800
## 1167 0.676 64.100
## 1168 0.597 64.400
## 1169 0.606 65.000
## 1170 0.655 65.300
## 1171 0.641 65.600
## 1172 0.554 65.900
## 1173 0.535 66.200
## 1174 0.553 66.500
## 1175 0.879 44.800
## 1176 0.748 45.500
## 1177 0.756 46.200
## 1178 0.818 48.320
## 1179 0.666 51.200
## 1180 0.678 53.200
## 1181 0.738 54.200
## 1182 0.742 55.200
## 1183 0.612 57.020
## 1184 0.757 57.380
## 1185 0.774 57.740
## 1186 0.752 58.100
## 1187 0.793 58.400
## 1188 0.795 58.700
## 1189 0.774 59.000
## 1190 0.763 59.300
## 1191 0.796 59.600
## 1192 0.828 49.680
## 1193 0.763 55.160
## 1194 0.828 56.200
## 1195 0.864 56.500
## 1196 0.845 56.800
## 1197 0.741 57.100
## 1198 0.874 57.200
## 1199 0.787 57.700
## 1200 0.818 58.200
## 1201 0.813 58.700
## 1202 0.779 59.200
## 1203 0.741 59.400
## 1204 0.734 59.600
## 1205 0.740 59.800
## 1206 0.786 60.000
## 1207 0.748 60.200
## 1208 0.837 61.300
## 1209 0.816 62.400
## 1210 0.768 63.500
## 1211 0.772 64.600
## 1212 0.947 70.400
## 1213 0.944 70.800
## 1214 0.944 71.000
## 1215 0.957 71.400
## 1216 0.938 71.520
## 1217 0.939 71.640
## 1218 0.925 71.760
## 1219 0.909 71.880
## 1220 0.879 72.000
## 1221 0.926 72.100
## 1222 0.937 72.200
## 1223 0.939 72.300
## 1224 0.941 72.400
## 1225 0.944 72.500
## 1226 0.946 71.200
## 1227 0.967 71.400
## 1228 0.944 71.600
## 1229 0.976 72.000
## 1230 0.954 72.120
## 1231 0.930 72.240
## 1232 0.958 72.360
## 1233 0.942 72.480
## 1234 0.987 72.600
## 1235 0.937 72.800
## 1236 0.955 73.000
## 1237 0.954 73.200
## 1238 0.939 73.400
## 1239 0.952 73.600
## 1240 0.877 64.140
## 1241 0.866 64.480
## 1242 0.857 64.820
## 1243 0.835 65.160
## 1244 0.863 65.500
## 1245 0.800 65.720
## 1246 0.894 65.940
## 1247 0.868 66.160
## 1248 0.839 66.380
## 1249 0.827 66.600
## 1250 0.853 66.900
## 1251 0.838 67.200
## 1252 0.854 67.500
## 1253 0.874 67.800
## 1254 0.677 46.360
## 1255 0.726 47.120
## 1256 0.607 47.880
## 1257 0.771 48.640
## 1258 0.655 49.400
## 1259 0.818 49.920
## 1260 0.700 50.440
## 1261 0.696 50.960
## 1262 0.753 51.480
## 1263 0.713 52.000
## 1264 0.683 52.500
## 1265 0.582 53.000
## 1266 0.612 53.500
## 1267 0.677 54.000
## 1268 0.735 44.120
## 1269 0.718 44.640
## 1270 0.780 45.160
## 1271 0.722 45.680
## 1272 0.824 46.200
## 1273 0.818 47.120
## 1274 0.663 47.580
## 1275 0.812 48.500
## 1276 0.805 48.900
## 1277 0.733 49.300
## 1278 0.741 49.700
## 1279 0.734 50.100
## 1280 0.739 50.500
## 1281 0.871 NA
## 1282 0.869 NA
## 1283 0.802 NA
## 1284 0.791 NA
## 1285 0.808 NA
## 1286 0.837 NA
## 1287 0.803 NA
## 1288 0.811 64.095
## 1289 0.734 64.349
## 1290 0.687 64.502
## 1291 0.784 64.661
## 1292 0.798 64.811
## 1293 0.832 64.942
## 1294 0.793 65.053
## 1295 0.766 65.145
## 1296 0.871 65.225
## 1297 0.800 65.303
## 1298 0.849 65.389
## 1299 0.815 65.474
## 1300 0.750 65.560
## 1301 0.959 71.320
## 1302 0.936 71.560
## 1303 0.948 72.240
## 1304 0.941 72.680
## 1305 0.947 72.900
## 1306 0.960 73.000
## 1307 0.950 73.100
## 1308 0.966 73.200
## 1309 0.942 73.300
## 1310 0.956 73.400
## 1311 NA 65.500
## 1312 0.591 54.200
## 1313 0.479 55.000
## 1314 0.373 55.400
## 1315 0.522 55.800
## 1316 0.571 56.200
## 1317 0.510 56.420
## 1318 0.542 56.640
## 1319 0.607 56.860
## 1320 0.552 57.080
## 1321 0.562 57.300
## 1322 0.627 57.700
## 1323 0.690 58.100
## 1324 0.685 58.500
## 1325 0.617 58.900
## 1326 0.818 61.780
## 1327 0.712 61.897
## 1328 0.666 62.015
## 1329 0.738 62.132
## 1330 0.822 62.250
## 1331 0.751 NA
## 1332 0.782 NA
## 1333 0.761 NA
## 1334 0.775 NA
## 1335 0.766 NA
## 1336 0.818 NA
## 1337 0.824 NA
## 1338 0.819 NA
## 1339 0.833 NA
## 1340 0.951 67.900
## 1341 0.937 68.000
## 1342 0.922 68.100
## 1343 0.905 68.200
## 1344 0.928 68.300
## 1345 0.876 68.500
## 1346 0.897 68.700
## 1347 0.896 68.900
## 1348 0.873 69.100
## 1349 0.883 69.300
## 1350 0.882 69.400
## 1351 0.912 69.500
## 1352 0.904 69.600
## 1353 0.886 69.700
## 1354 0.895 63.620
## 1355 0.863 63.840
## 1356 0.889 64.060
## 1357 0.900 64.280
## 1358 0.889 64.500
## 1359 0.869 64.620
## 1360 0.931 64.740
## 1361 0.939 64.860
## 1362 0.959 64.980
## 1363 0.914 65.100
## 1364 0.940 65.300
## 1365 0.902 65.500
## 1366 0.892 65.900
## 1367 0.875 65.340
## 1368 0.756 65.580
## 1369 0.777 65.820
## 1370 0.799 66.060
## 1371 0.812 66.300
## 1372 0.756 66.480
## 1373 0.764 66.660
## 1374 0.797 66.840
## 1375 0.819 67.020
## 1376 0.798 67.200
## 1377 0.803 67.500
## 1378 0.830 67.800
## 1379 0.845 68.100
## 1380 0.809 68.400
## 1381 0.795 59.800
## 1382 0.801 60.000
## 1383 0.798 60.200
## 1384 0.775 60.400
## 1385 0.805 60.600
## 1386 0.789 60.800
## 1387 0.813 61.000
## 1388 0.846 61.200
## 1389 0.813 61.400
## 1390 0.854 61.600
## 1391 0.821 61.700
## 1392 0.851 61.800
## 1393 0.846 61.900
## 1394 0.845 62.000
## 1395 0.781 62.100
## 1396 0.922 66.300
## 1397 0.913 66.700
## 1398 0.917 67.100
## 1399 0.955 67.300
## 1400 0.905 67.460
## 1401 0.936 67.620
## 1402 0.912 67.780
## 1403 0.924 67.940
## 1404 0.893 68.100
## 1405 0.917 68.500
## 1406 0.882 68.900
## 1407 0.863 69.300
## 1408 0.878 69.700
## 1409 0.953 70.100
## 1410 0.905 69.840
## 1411 0.886 70.320
## 1412 0.864 70.800
## 1413 0.856 71.000
## 1414 0.866 71.200
## 1415 0.867 71.400
## 1416 0.862 71.600
## 1417 0.866 71.800
## 1418 0.905 72.000
## 1419 0.900 72.200
## 1420 0.887 72.400
## 1421 0.876 72.600
## 1422 0.875 72.800
## 1423 0.894 66.580
## 1424 NA 66.700
## 1425 0.857 67.020
## 1426 0.838 67.340
## 1427 NA 68.300
## 1428 0.838 64.000
## 1429 0.736 64.480
## 1430 0.812 64.960
## 1431 0.689 65.200
## 1432 0.753 65.420
## 1433 0.740 65.640
## 1434 0.778 65.860
## 1435 0.753 66.080
## 1436 0.787 66.300
## 1437 0.809 66.600
## 1438 0.811 66.900
## 1439 0.818 67.200
## 1440 0.842 67.500
## 1441 0.895 58.680
## 1442 0.885 59.260
## 1443 0.882 59.840
## 1444 0.908 60.420
## 1445 0.909 61.000
## 1446 0.883 61.420
## 1447 0.901 61.840
## 1448 0.881 62.260
## 1449 0.932 62.680
## 1450 0.924 63.100
## 1451 0.911 63.500
## 1452 0.896 63.900
## 1453 0.909 64.300
## 1454 0.910 64.700
## 1455 0.887 65.100
## 1456 0.718 49.880
## 1457 0.486 53.040
## 1458 0.559 54.620
## 1459 0.570 56.820
## 1460 0.637 57.440
## 1461 0.750 58.060
## 1462 0.748 58.680
## 1463 0.678 59.300
## 1464 0.665 59.900
## 1465 0.517 60.500
## 1466 0.616 61.100
## 1467 0.489 61.700
## 1468 0.868 63.500
## 1469 0.892 63.860
## 1470 0.823 64.040
## 1471 0.921 64.220
## 1472 0.880 64.400
## 1473 0.830 64.600
## 1474 0.867 64.800
## 1475 0.827 65.000
## 1476 0.818 65.200
## 1477 0.820 65.400
## 1478 0.890 65.700
## 1479 0.840 66.000
## 1480 0.868 66.300
## 1481 0.912 66.600
## 1482 0.890 66.900
## 1483 0.760 53.380
## 1484 0.718 54.060
## 1485 0.756 54.740
## 1486 0.810 55.420
## 1487 0.760 56.100
## 1488 0.602 56.560
## 1489 0.711 57.020
## 1490 0.823 57.480
## 1491 0.856 57.940
## 1492 0.702 58.400
## 1493 0.839 58.800
## 1494 0.744 59.200
## 1495 0.739 59.600
## 1496 0.688 60.000
## 1497 0.844 65.600
## 1498 0.770 66.000
## 1499 0.726 66.200
## 1500 0.773 66.360
## 1501 0.819 66.520
## 1502 0.828 66.680
## 1503 0.783 66.840
## 1504 0.816 67.000
## 1505 0.895 67.400
## 1506 0.884 67.800
## 1507 0.853 68.200
## 1508 0.903 68.600
## 1509 0.852 69.000
## 1510 0.561 40.300
## 1511 0.686 41.200
## 1512 0.591 42.100
## 1513 0.812 43.900
## 1514 0.782 44.320
## 1515 0.708 45.160
## 1516 0.869 45.580
## 1517 0.611 46.000
## 1518 0.657 47.600
## 1519 0.652 49.200
## 1520 0.650 50.800
## 1521 0.611 52.400
## 1522 0.904 73.600
## 1523 0.921 73.900
## 1524 0.845 74.200
## 1525 0.866 74.500
## 1526 0.864 74.800
## 1527 0.904 75.020
## 1528 0.808 75.460
## 1529 0.822 75.680
## 1530 0.866 75.900
## 1531 0.925 76.200
## 1532 0.897 76.500
## 1533 0.903 76.800
## 1534 0.925 77.100
## 1535 0.954 66.000
## 1536 0.920 66.800
## 1537 0.917 67.040
## 1538 0.926 67.280
## 1539 0.909 67.520
## 1540 0.924 67.760
## 1541 0.943 68.000
## 1542 0.945 68.300
## 1543 0.913 68.600
## 1544 0.922 68.900
## 1545 0.933 69.200
## 1546 0.954 69.500
## 1547 0.936 68.000
## 1548 0.919 68.900
## 1549 0.917 69.200
## 1550 0.931 69.400
## 1551 0.925 69.600
## 1552 0.932 69.800
## 1553 0.908 70.000
## 1554 0.901 70.200
## 1555 0.934 70.500
## 1556 0.928 70.800
## 1557 0.941 71.100
## 1558 0.949 71.400
## 1559 0.953 71.700
## 1560 0.611 49.600
## 1561 0.599 50.100
## 1562 0.594 50.000
## 1563 0.880 NA
## 1564 0.829 NA
## 1565 0.788 NA
## 1566 0.786 NA
## 1567 0.913 48.020
## 1568 0.788 48.640
## 1569 0.810 49.260
## 1570 0.877 49.880
## 1571 0.917 50.500
## 1572 0.858 51.460
## 1573 0.907 52.420
## 1574 0.839 53.380
## 1575 0.881 54.340
## 1576 0.898 55.300
## 1577 0.875 55.700
## 1578 0.870 56.100
## 1579 0.841 56.500
## 1580 0.848 56.900
## 1581 0.891 57.300
## 1582 0.775 70.200
## 1583 0.827 70.500
## 1584 0.754 70.800
## 1585 0.811 71.100
## 1586 0.816 71.400
## 1587 0.809 71.660
## 1588 0.775 71.920
## 1589 0.797 72.180
## 1590 0.738 72.440
## 1591 0.768 72.700
## 1592 0.811 73.000
## 1593 0.807 73.300
## 1594 0.798 73.600
## 1595 0.783 73.900
## 1596 0.808 74.200
## 1597 0.545 49.840
## 1598 0.585 50.200
## 1599 0.532 50.600
## 1600 0.557 51.000
## 1601 0.961 71.500
## 1602 0.957 72.060
## 1603 0.948 72.340
## 1604 0.929 72.620
## 1605 0.950 72.900
## 1606 0.944 73.020
## 1607 0.937 73.140
## 1608 0.929 73.260
## 1609 0.948 73.380
## 1610 0.956 73.500
## 1611 0.942 73.800
## 1612 0.903 74.100
## 1613 0.910 74.400
## 1614 0.949 74.700
## 1615 0.935 75.000
## 1616 0.864 65.780
## 1617 0.838 65.860
## 1618 0.816 65.940
## 1619 0.830 66.020
## 1620 0.814 66.100
## 1621 0.842 66.200
## 1622 0.824 66.300
## 1623 0.809 66.400
## 1624 0.805 66.500
## 1625 0.863 66.600
## 1626 0.823 67.000
## 1627 0.833 67.200
## 1628 0.815 67.400
## 1629 0.911 53.700
## 1630 0.855 54.000
## 1631 0.818 54.280
## 1632 0.813 54.560
## 1633 0.811 55.120
## 1634 0.797 62.240
## 1635 0.837 40.808
## 1636 0.779 50.353
## 1637 0.759 51.270
## 1638 0.951 71.200
## 1639 0.917 71.480
## 1640 0.923 71.620
## 1641 0.903 71.760
## 1642 0.970 71.900
## 1643 0.921 71.980
## 1644 0.929 72.060
## 1645 0.916 72.140
## 1646 0.933 72.220
## 1647 0.929 72.300
## 1648 0.912 72.400
## 1649 0.914 72.500
## 1650 0.931 72.600
## 1651 0.934 72.700
## 1652 0.936 72.800
## 1653 0.951 71.540
## 1654 0.938 72.260
## 1655 0.947 72.780
## 1656 0.959 73.060
## 1657 0.938 73.200
## 1658 0.928 73.500
## 1659 0.950 73.800
## 1660 0.930 74.100
## 1661 0.949 74.400
## 1662 0.946 74.700
## 1663 0.712 63.900
## 1664 0.842 64.000
## 1665 0.934 64.100
## 1666 0.576 62.320
## 1667 0.588 60.540
## 1668 0.585 58.760
## 1669 0.464 55.200
## 1670 0.882 68.680
## 1671 0.830 69.140
## 1672 0.831 69.600
## 1673 0.863 NA
## 1674 0.825 NA
## 1675 0.817 NA
## 1676 0.870 NA
## 1677 0.885 NA
## 1678 0.895 NA
## 1679 0.891 NA
## 1680 0.896 NA
## 1681 0.893 NA
## 1682 0.901 NA
## 1683 0.724 60.640
## 1684 0.727 61.080
## 1685 0.701 61.520
## 1686 0.676 61.960
## 1687 0.759 62.400
## 1688 0.751 62.560
## 1689 0.729 62.720
## 1690 0.701 62.880
## 1691 0.810 63.040
## 1692 0.844 63.200
## 1693 0.857 63.500
## 1694 0.663 63.800
## 1695 0.875 64.100
## 1696 0.880 64.400
## 1697 0.790 64.700
## 1698 0.783 48.700
## 1699 0.708 49.600
## 1700 0.774 50.500
## 1701 0.837 51.400
## 1702 0.813 52.300
## 1703 0.883 53.040
## 1704 0.832 53.780
## 1705 0.803 54.520
## 1706 0.789 55.260
## 1707 0.790 56.000
## 1708 0.638 56.500
## 1709 0.705 57.000
## 1710 0.675 57.500
## 1711 0.687 58.000
## 1712 0.740 58.500
## 1713 0.894 64.140
## 1714 0.889 64.480
## 1715 0.832 64.820
## 1716 0.893 65.160
## 1717 0.898 65.500
## 1718 0.884 65.720
## 1719 0.906 65.940
## 1720 0.926 66.160
## 1721 0.933 66.380
## 1722 0.866 66.600
## 1723 0.908 66.800
## 1724 0.877 67.000
## 1725 0.873 67.200
## 1726 0.903 67.400
## 1727 0.867 67.600
## 1728 0.435 49.260
## 1729 0.291 50.180
## 1730 0.303 51.580
## 1731 0.444 53.020
## 1732 0.479 53.500
## 1733 0.509 53.900
## 1734 0.508 54.300
## 1735 0.596 54.700
## 1736 0.539 55.100
## 1737 0.887 61.760
## 1738 0.858 62.080
## 1739 0.863 62.540
## 1740 0.883 62.820
## 1741 0.916 63.500
## 1742 NA 64.960
## 1743 0.863 65.100
## 1744 0.715 65.280
## 1745 0.614 65.460
## 1746 0.648 65.640
## 1747 0.680 65.820
## 1748 0.609 66.000
## 1749 0.702 66.300
## 1750 0.717 66.600
## 1751 0.733 66.900
## 1752 0.610 67.200
## 1753 0.719 67.500
## 1754 0.820 62.600
## 1755 0.792 63.320
## 1756 0.645 63.680
## 1757 0.755 64.040
## 1758 0.795 64.400
## 1759 0.692 64.640
## 1760 0.739 64.880
## 1761 0.795 65.120
## 1762 0.863 65.360
## 1763 0.851 65.600
## 1764 0.880 66.000
## 1765 0.876 66.400
## 1766 0.847 66.800
## 1767 0.792 67.200
## 1768 0.857 67.600
## 1769 0.924 59.440
## 1770 0.964 60.040
## 1771 0.946 60.280
## 1772 0.846 60.520
## 1773 0.909 60.760
## 1774 0.960 61.000
## 1775 0.929 61.400
## 1776 0.908 61.800
## 1777 0.984 62.200
## 1778 0.982 62.600
## 1779 0.760 46.480
## 1780 0.845 47.460
## 1781 0.813 48.440
## 1782 0.852 49.420
## 1783 0.830 50.400
## 1784 0.882 51.220
## 1785 0.885 52.040
## 1786 0.878 52.860
## 1787 0.821 53.680
## 1788 0.747 54.500
## 1789 0.754 54.900
## 1790 0.740 55.300
## 1791 0.740 55.700
## 1792 0.805 56.100
## 1793 0.800 56.500
## 1794 0.852 60.120
## 1795 0.820 60.640
## 1796 0.860 61.160
## 1797 0.845 61.680
## 1798 0.884 62.200
## 1799 0.859 62.500
## 1800 0.898 62.800
## 1801 0.897 63.100
## 1802 0.877 63.400
## 1803 0.909 63.700
## 1804 0.885 64.000
## 1805 0.858 64.300
## 1806 0.901 64.600
## 1807 0.883 64.900
## 1808 0.885 65.200
## 1809 0.903 65.920
## 1810 0.885 66.280
## 1811 0.912 66.400
## 1812 0.881 66.420
## 1813 0.856 66.440
## 1814 0.864 66.460
## 1815 NA 66.480
## 1816 0.824 66.500
## 1817 0.849 66.700
## 1818 0.836 66.900
## 1819 0.851 67.100
## 1820 0.862 67.300
## 1821 0.827 67.500
## 1822 0.979 69.900
## 1823 0.970 70.460
## 1824 0.954 70.740
## 1825 0.964 71.020
## 1826 0.955 71.300
## 1827 0.949 71.380
## 1828 0.935 71.460
## 1829 0.937 71.540
## 1830 0.910 71.620
## 1831 0.936 71.700
## 1832 0.954 71.900
## 1833 0.937 72.100
## 1834 0.928 72.300
## 1835 0.943 72.500
## 1836 0.929 72.700
## 1837 0.965 68.060
## 1838 NA 68.220
## 1839 0.953 68.380
## 1840 0.912 68.540
## 1841 0.926 68.700
## 1842 0.922 68.680
## 1843 0.903 68.660
## 1844 0.925 68.640
## 1845 0.902 68.620
## 1846 0.904 68.600
## 1847 0.897 68.500
## 1848 0.921 68.400
## 1849 0.904 68.300
## 1850 0.917 68.200
## 1851 0.937 68.100
## 1852 0.912 67.440
## 1853 0.875 67.580
## 1854 0.879 67.720
## 1855 0.924 67.860
## 1856 0.893 68.000
## 1857 0.891 68.140
## 1858 0.865 68.280
## 1859 0.917 68.420
## 1860 0.902 68.560
## 1861 0.891 68.700
## 1862 0.900 68.800
## 1863 0.914 68.900
## 1864 0.917 69.000
## 1865 0.933 69.100
## 1866 0.921 69.200
## 1867 0.903 61.440
## 1868 0.894 62.320
## 1869 0.905 62.760
## 1870 0.903 63.200
## 1871 0.924 63.400
## 1872 0.933 63.600
## 1873 0.963 63.800
## 1874 0.952 64.000
## 1875 0.968 64.200
## 1876 0.945 64.500
## 1877 0.942 64.800
## 1878 0.921 65.100
## 1879 0.915 65.400
## 1880 0.955 65.400
## 1881 0.946 65.460
## 1882 0.922 65.580
## 1883 0.945 65.640
## 1884 0.932 65.700
## 1885 0.931 65.740
## 1886 0.932 65.780
## 1887 0.896 65.820
## 1888 0.904 65.860
## 1889 0.911 65.900
## 1890 0.902 66.100
## 1891 0.896 66.300
## 1892 0.887 66.500
## 1893 0.888 66.700
## 1894 0.805 66.900
## 1895 0.888 65.860
## 1896 0.856 66.020
## 1897 0.805 66.180
## 1898 0.815 66.340
## 1899 0.787 66.500
## 1900 0.898 66.660
## 1901 0.775 66.820
## 1902 0.759 66.980
## 1903 0.792 67.140
## 1904 0.849 67.300
## 1905 0.876 67.500
## 1906 NA 67.700
## 1907 0.832 67.900
## 1908 0.848 68.100
## 1909 0.825 53.400
## 1910 0.756 54.000
## 1911 0.727 54.300
## 1912 0.663 54.300
## 1913 0.682 54.300
## 1914 0.694 54.300
## 1915 0.638 54.300
## 1916 0.669 54.300
## 1917 0.775 55.100
## 1918 0.790 55.900
## 1919 0.789 56.700
## 1920 0.870 57.500
## 1921 0.798 44.260
## 1922 0.688 45.720
## 1923 0.624 47.180
## 1924 0.782 48.640
## 1925 0.864 50.840
## 1926 0.780 51.580
## 1927 0.761 52.320
## 1928 0.706 53.060
## 1929 0.691 53.800
## 1930 0.767 54.300
## 1931 0.744 54.800
## 1932 0.718 55.300
## 1933 0.638 55.800
## 1934 0.767 56.300
## 1935 0.822 41.580
## 1936 0.828 42.860
## 1937 0.843 44.140
## 1938 0.806 45.420
## 1939 0.857 46.700
## 1940 0.865 48.120
## 1941 0.896 49.540
## 1942 0.799 50.960
## 1943 0.766 52.380
## 1944 0.736 53.800
## 1945 0.768 54.400
## 1946 0.754 55.000
## 1947 0.775 55.600
## 1948 0.759 56.200
## 1949 0.717 56.800
## Freedom.to.make.life.choices Generosity Perceptions.of.corruption
## 1 0.718 0.168 0.882
## 2 0.679 0.190 0.850
## 3 0.600 0.121 0.707
## 4 0.496 0.162 0.731
## 5 0.531 0.236 0.776
## 6 0.578 0.061 0.823
## 7 0.509 0.104 0.871
## 8 0.389 0.080 0.881
## 9 0.523 0.042 0.793
## 10 0.427 -0.121 0.954
## 11 0.374 -0.094 0.928
## 12 0.394 -0.108 0.924
## 13 0.529 -0.009 0.875
## 14 0.525 -0.158 0.864
## 15 0.569 -0.172 0.726
## 16 0.487 -0.205 0.877
## 17 0.602 -0.169 0.848
## 18 0.632 -0.127 0.863
## 19 0.735 -0.025 0.883
## 20 0.704 -0.081 0.885
## 21 0.730 -0.017 0.901
## 22 0.750 -0.029 0.876
## 23 0.824 0.009 0.899
## 24 0.777 -0.099 0.914
## 25 0.754 0.007 0.891
## 26 0.593 -0.205 0.618
## 27 0.530 -0.181 0.638
## 28 0.587 -0.172 0.690
## 29 NA NA NA
## 30 NA NA NA
## 31 0.437 -0.167 0.700
## 32 0.583 -0.146 0.759
## 33 0.385 0.005 0.741
## 34 0.584 0.055 0.911
## 35 0.456 -0.136 0.906
## 36 0.410 -0.104 0.816
## 37 0.375 -0.168 0.834
## 38 0.733 -0.157 0.852
## 39 0.653 -0.141 0.881
## 40 0.678 -0.132 0.865
## 41 0.637 -0.130 0.885
## 42 0.730 -0.126 0.855
## 43 0.816 -0.174 0.755
## 44 0.747 -0.148 0.817
## 45 0.737 -0.130 0.823
## 46 0.745 -0.164 0.854
## 47 0.881 -0.174 0.851
## 48 0.848 -0.192 0.851
## 49 0.832 -0.186 0.841
## 50 0.846 -0.211 0.855
## 51 0.817 -0.211 0.830
## 52 0.823 -0.122 0.816
## 53 0.520 -0.231 0.850
## 54 0.605 -0.251 0.817
## 55 0.462 -0.215 0.876
## 56 0.441 -0.214 0.882
## 57 0.459 -0.176 0.891
## 58 0.465 -0.225 0.875
## 59 0.502 -0.215 0.893
## 60 0.504 -0.195 0.900
## 61 0.506 -0.218 0.920
## 62 0.551 -0.203 0.901
## 63 0.611 -0.170 0.921
## 64 0.614 -0.147 0.865
## 65 0.808 -0.163 0.677
## 66 0.844 -0.172 0.583
## 67 0.935 NA 0.390
## 68 0.891 0.347 0.513
## 69 0.916 0.305 0.431
## 70 0.932 0.317 0.366
## 71 0.945 0.369 0.382
## 72 0.935 0.274 0.368
## 73 0.933 0.269 0.432
## 74 0.923 0.319 0.442
## 75 0.922 0.332 0.357
## 76 0.922 0.239 0.399
## 77 0.911 0.317 0.411
## 78 0.916 0.146 0.405
## 79 0.918 0.121 0.430
## 80 0.905 0.210 0.491
## 81 0.941 0.302 0.490
## 82 0.879 0.291 0.614
## 83 0.896 0.131 0.546
## 84 0.939 0.132 0.703
## 85 0.920 0.118 0.771
## 86 0.922 0.168 0.679
## 87 0.885 0.118 0.567
## 88 0.900 0.099 0.557
## 89 0.889 0.080 0.524
## 90 0.890 0.133 0.518
## 91 0.904 0.053 0.523
## 92 0.903 0.060 0.457
## 93 0.912 0.011 0.464
## 94 0.772 -0.235 0.774
## 95 0.522 -0.207 0.871
## 96 0.601 -0.029 0.715
## 97 0.498 -0.087 0.754
## 98 0.501 -0.123 0.858
## 99 0.537 -0.105 0.795
## 100 0.599 -0.140 0.763
## 101 0.672 -0.168 0.699
## 102 0.733 -0.208 0.654
## 103 0.764 -0.198 0.616
## 104 0.713 -0.204 0.607
## 105 0.731 -0.225 0.653
## 106 0.772 -0.232 0.561
## 107 0.854 -0.214 0.457
## 108 0.896 0.037 0.506
## 109 0.862 -0.001 0.715
## 110 0.870 -0.051 0.583
## 111 0.682 NA 0.438
## 112 0.809 NA 0.525
## 113 NA NA NA
## 114 0.850 0.112 NA
## 115 0.889 0.088 NA
## 116 0.906 0.136 NA
## 117 0.907 0.048 NA
## 118 0.945 0.132 NA
## 119 0.612 0.068 0.786
## 120 0.605 0.040 0.806
## 121 0.606 -0.044 0.802
## 122 0.631 -0.075 0.776
## 123 0.659 -0.016 0.774
## 124 0.838 -0.069 0.757
## 125 0.668 -0.034 0.765
## 126 0.742 -0.016 0.743
## 127 0.736 -0.098 0.789
## 128 0.815 -0.068 0.721
## 129 0.875 -0.089 0.688
## 130 0.896 0.012 0.635
## 131 0.901 -0.043 0.701
## 132 0.902 -0.051 0.656
## 133 0.777 -0.009 0.742
## 134 0.707 -0.246 0.708
## 135 0.667 -0.225 0.695
## 136 0.640 -0.220 0.696
## 137 0.679 -0.203 0.676
## 138 0.700 -0.163 0.706
## 139 0.656 -0.168 0.672
## 140 0.645 -0.217 0.657
## 141 0.723 -0.177 0.653
## 142 0.647 -0.048 0.682
## 143 0.623 -0.091 0.669
## 144 0.658 -0.125 0.664
## 145 0.621 -0.122 0.654
## 146 0.644 -0.174 0.718
## 147 0.657 -0.186 0.546
## 148 0.924 NA 0.598
## 149 0.901 0.069 0.721
## 150 0.887 0.007 0.652
## 151 0.807 0.022 0.697
## 152 0.880 -0.014 0.711
## 153 0.855 -0.050 0.758
## 154 0.891 0.017 0.574
## 155 0.861 0.001 0.512
## 156 0.869 0.062 0.469
## 157 0.866 -0.056 0.497
## 158 0.857 0.054 0.543
## 159 0.808 -0.125 0.630
## 160 0.776 -0.172 0.672
## 161 0.767 -0.164 0.634
## 162 0.705 0.033 0.769
## 163 0.874 0.022 0.782
## 164 0.580 -0.011 0.790
## 165 0.709 -0.004 0.825
## 166 0.773 -0.142 0.849
## 167 0.769 -0.111 0.806
## 168 0.783 -0.085 0.856
## 169 0.776 -0.096 0.855
## 170 0.733 -0.027 0.850
## 171 0.780 -0.065 0.838
## 172 0.727 -0.065 0.767
## 173 0.713 0.002 0.747
## 174 0.770 -0.016 0.698
## 175 0.783 -0.083 0.532
## 176 0.810 0.353 0.802
## 177 0.834 0.268 0.650
## 178 0.830 0.277 0.634
## 179 0.770 -0.044 0.794
## 180 0.780 0.001 0.817
## 181 0.726 -0.092 0.801
## 182 0.779 -0.036 0.763
## 183 0.703 -0.068 0.781
## 184 0.782 -0.039 0.825
## 185 0.862 -0.015 0.840
## 186 0.846 -0.067 0.812
## 187 0.881 0.018 0.832
## 188 0.884 -0.030 0.862
## 189 0.882 -0.047 0.853
## 190 0.884 -0.120 0.819
## 191 0.863 -0.093 0.786
## 192 0.881 -0.086 0.857
## 193 0.877 -0.054 0.868
## 194 0.342 0.006 0.926
## 195 0.258 -0.026 0.959
## 196 0.365 -0.128 0.933
## 197 0.333 -0.035 0.925
## 198 0.420 -0.013 0.953
## 199 0.390 0.042 0.970
## 200 0.412 0.232 0.976
## 201 0.631 -0.055 0.960
## 202 0.633 0.134 0.957
## 203 0.564 0.092 0.923
## 204 0.659 0.123 0.913
## 205 0.722 0.079 0.963
## 206 0.740 0.138 0.916
## 207 0.824 -0.195 0.723
## 208 0.858 -0.164 0.806
## 209 0.826 -0.143 0.814
## 210 0.813 -0.250 0.816
## 211 0.799 -0.203 0.814
## 212 0.767 -0.154 0.749
## 213 0.791 -0.105 0.743
## 214 0.857 -0.116 0.860
## 215 0.852 -0.253 0.729
## 216 0.817 -0.248 0.731
## 217 0.818 -0.254 0.807
## 218 0.833 -0.239 0.792
## 219 0.882 NA 0.745
## 220 0.777 -0.016 0.728
## 221 0.782 -0.078 0.688
## 222 0.767 -0.055 0.723
## 223 0.806 -0.054 0.656
## 224 0.834 -0.072 0.662
## 225 0.849 NA 0.623
## 226 0.785 -0.095 0.707
## 227 0.714 -0.115 0.710
## 228 0.799 -0.016 0.771
## 229 0.807 -0.100 0.781
## 230 0.765 -0.175 0.794
## 231 0.751 -0.117 0.763
## 232 0.830 -0.062 0.762
## 233 0.786 -0.053 0.729
## 234 0.566 -0.138 0.976
## 235 0.545 -0.144 0.941
## 236 0.664 -0.228 0.948
## 237 0.641 -0.172 0.938
## 238 0.603 -0.191 0.962
## 239 0.576 -0.055 0.955
## 240 0.637 -0.200 0.941
## 241 0.700 -0.170 0.936
## 242 0.689 -0.154 0.911
## 243 0.724 -0.176 0.952
## 244 0.822 -0.109 0.943
## 245 0.818 -0.004 0.901
## 246 0.588 0.028 0.798
## 247 0.582 -0.060 0.833
## 248 0.612 -0.101 0.887
## 249 0.587 -0.036 0.767
## 250 0.725 -0.105 0.707
## 251 0.622 -0.070 0.726
## 252 0.741 -0.016 0.765
## 253 0.710 -0.004 0.801
## 254 0.659 0.004 0.693
## 255 0.645 -0.001 0.721
## 256 0.614 -0.063 0.727
## 257 0.721 -0.013 0.757
## 258 0.678 -0.004 0.729
## 259 0.260 -0.019 0.860
## 260 0.427 -0.019 0.718
## 261 0.490 -0.062 0.677
## 262 0.431 -0.059 0.808
## 263 0.646 -0.024 0.599
## 264 NA 0.255 0.829
## 265 0.819 0.116 0.879
## 266 0.914 0.045 0.888
## 267 0.937 0.152 0.965
## 268 0.940 0.350 0.896
## 269 0.927 0.418 0.775
## 270 0.956 0.247 0.890
## 271 0.941 0.164 0.812
## 272 0.938 0.239 0.843
## 273 0.956 0.210 0.825
## 274 0.958 0.076 0.840
## 275 0.964 0.088 0.821
## 276 0.958 0.036 NA
## 277 0.957 0.013 0.828
## 278 0.963 0.052 0.863
## 279 0.653 -0.009 0.907
## 280 0.644 -0.031 0.910
## 281 0.580 -0.069 0.945
## 282 0.698 -0.017 0.925
## 283 0.792 0.002 0.875
## 284 0.817 -0.029 0.870
## 285 0.766 -0.032 0.898
## 286 0.794 -0.030 0.867
## 287 0.795 -0.071 0.856
## 288 0.791 0.049 0.868
## 289 0.713 -0.003 0.879
## 290 0.767 -0.028 0.844
## 291 0.816 0.036 0.884
## 292 0.712 -0.008 0.817
## 293 0.675 0.049 0.837
## 294 0.957 0.256 0.503
## 295 0.930 0.249 0.406
## 296 0.926 0.262 0.370
## 297 0.915 0.246 0.413
## 298 0.934 0.230 0.413
## 299 0.951 0.253 0.433
## 300 0.918 0.290 0.466
## 301 0.916 0.316 0.406
## 302 0.939 0.270 0.442
## 303 0.931 0.253 0.427
## 304 0.912 0.211 0.385
## 305 0.945 0.163 0.362
## 306 0.946 0.106 0.372
## 307 0.912 0.112 0.436
## 308 0.887 0.050 0.434
## 309 0.663 0.081 0.782
## 310 0.690 -0.036 0.845
## 311 0.780 -0.016 0.834
## 312 0.624 0.033 0.859
## 313 0.645 0.073 0.890
## 314 0.306 0.028 0.961
## 315 0.295 -0.011 0.874
## 316 0.527 0.063 0.944
## 317 0.401 0.021 0.931
## 318 0.505 0.025 0.858
## 319 0.540 0.031 0.876
## 320 0.563 -0.034 0.884
## 321 0.488 -0.045 0.882
## 322 0.567 -0.070 0.881
## 323 0.474 -0.029 0.889
## 324 0.525 0.052 0.820
## 325 0.615 0.008 0.792
## 326 0.650 0.024 0.763
## 327 0.537 0.055 0.832
## 328 0.744 0.168 0.634
## 329 0.662 0.244 0.723
## 330 0.640 0.084 0.741
## 331 0.747 0.149 0.734
## 332 0.786 0.108 0.702
## 333 0.701 0.112 0.753
## 334 0.734 0.195 0.782
## 335 0.737 0.085 0.741
## 336 0.733 0.217 0.758
## 337 0.769 0.041 0.812
## 338 0.652 0.102 0.858
## 339 0.790 -0.020 0.836
## 340 0.789 -0.060 0.816
## 341 0.659 -0.103 0.860
## 342 0.781 0.033 0.812
## 343 NA NA NA
## 344 NA -0.176 NA
## 345 0.853 -0.092 NA
## 346 0.771 -0.160 NA
## 347 0.805 -0.133 NA
## 348 0.824 -0.186 NA
## 349 0.808 -0.185 NA
## 350 0.805 -0.158 NA
## 351 NA -0.217 NA
## 352 NA -0.244 NA
## 353 NA -0.228 NA
## 354 0.878 -0.175 NA
## 355 0.895 -0.159 NA
## 356 0.927 -0.173 NA
## 357 0.891 -0.103 NA
## 358 0.805 -0.015 0.808
## 359 0.786 -0.040 0.860
## 360 0.795 -0.042 0.763
## 361 0.757 -0.055 0.837
## 362 0.816 -0.050 0.815
## 363 0.811 -0.073 0.847
## 364 0.828 -0.009 0.868
## 365 0.841 -0.071 0.898
## 366 0.801 -0.090 0.887
## 367 0.791 -0.100 0.843
## 368 0.835 -0.100 0.898
## 369 0.838 -0.157 0.875
## 370 0.851 -0.148 0.855
## 371 0.822 -0.172 0.854
## 372 0.840 -0.085 0.808
## 373 0.508 -0.074 0.838
## 374 0.529 0.005 0.741
## 375 0.500 -0.075 0.732
## 376 0.534 -0.121 0.651
## 377 0.560 0.086 0.794
## 378 0.538 0.077 0.762
## 379 0.526 -0.098 NA
## 380 0.745 -0.109 0.833
## 381 0.773 -0.112 0.800
## 382 0.726 -0.078 0.752
## 383 0.662 -0.110 0.808
## 384 0.850 -0.104 0.841
## 385 0.786 -0.072 0.790
## 386 0.778 -0.131 0.763
## 387 0.699 -0.092 0.738
## 388 0.686 -0.046 0.741
## 389 0.556 -0.022 0.824
## 390 0.631 -0.025 0.856
## 391 0.557 -0.035 0.807
## 392 0.480 0.012 0.913
## 393 0.556 0.009 0.814
## 394 0.574 -0.048 0.866
## 395 0.637 -0.024 0.875
## 396 0.704 0.068 0.809
## 397 0.882 0.060 0.798
## 398 0.923 0.098 0.820
## 399 0.912 0.096 0.816
## 400 0.886 0.065 0.787
## 401 0.881 0.047 0.763
## 402 0.926 -0.033 0.837
## 403 0.929 0.046 0.794
## 404 0.898 0.018 0.813
## 405 0.927 0.010 0.788
## 406 0.907 -0.059 0.761
## 407 0.873 -0.032 0.781
## 408 0.936 -0.076 0.742
## 409 0.942 -0.107 0.781
## 410 0.927 -0.146 0.836
## 411 0.662 -0.092 0.934
## 412 0.549 -0.271 0.958
## 413 0.564 -0.237 0.973
## 414 0.517 -0.198 0.977
## 415 0.542 -0.242 0.924
## 416 0.627 -0.204 0.936
## 417 0.519 0.132 0.918
## 418 0.694 -0.096 0.849
## 419 0.672 -0.065 0.884
## 420 0.716 -0.104 0.892
## 421 0.691 -0.151 0.925
## 422 0.739 -0.137 0.932
## 423 0.837 -0.063 0.961
## 424 0.281 NA NA
## 425 0.836 0.018 0.712
## 426 0.775 0.054 0.801
## 427 0.755 0.073 0.833
## 428 0.745 0.180 0.841
## 429 0.725 0.098 0.871
## 430 0.656 0.102 0.867
## 431 0.715 0.060 0.868
## 432 0.628 0.114 0.893
## 433 0.756 -0.030 0.898
## 434 0.812 0.043 0.851
## 435 0.794 -0.022 0.848
## 436 0.740 -0.008 0.865
## 437 0.763 NA 0.816
## 438 0.865 NA 0.901
## 439 0.799 -0.063 0.928
## 440 0.779 -0.042 0.926
## 441 0.787 -0.106 0.950
## 442 0.740 -0.154 0.957
## 443 0.726 -0.156 0.916
## 444 0.800 -0.168 0.897
## 445 0.808 -0.146 0.886
## 446 0.850 -0.197 0.900
## 447 0.832 -0.177 0.867
## 448 0.790 -0.292 0.851
## 449 0.906 -0.127 0.884
## 450 0.971 NA 0.237
## 451 0.932 0.240 0.206
## 452 0.970 0.272 0.248
## 453 0.949 0.264 0.206
## 454 0.944 0.242 0.175
## 455 0.935 0.298 0.220
## 456 0.933 0.139 0.187
## 457 0.920 0.215 0.170
## 458 0.942 0.118 0.237
## 459 0.941 0.222 0.191
## 460 0.948 0.138 0.210
## 461 0.955 0.155 0.181
## 462 0.935 0.018 0.151
## 463 0.963 0.020 0.174
## 464 0.938 0.052 0.214
## 465 0.773 0.129 0.576
## 466 0.649 0.005 0.634
## 467 0.764 -0.058 0.597
## 468 0.746 -0.057 0.519
## 469 0.858 0.038 0.755
## 470 0.886 -0.008 0.772
## 471 0.848 -0.045 0.728
## 472 0.863 -0.053 0.806
## 473 0.824 -0.075 0.780
## 474 0.848 0.014 0.788
## 475 0.840 -0.062 0.727
## 476 0.889 0.021 0.752
## 477 0.905 -0.020 0.760
## 478 0.856 -0.065 0.755
## 479 0.873 -0.080 0.737
## 480 0.855 -0.121 0.760
## 481 0.867 -0.150 0.762
## 482 0.877 -0.123 0.746
## 483 0.835 -0.128 0.636
## 484 0.671 -0.091 0.901
## 485 0.670 -0.063 0.830
## 486 0.640 -0.094 0.801
## 487 0.737 -0.108 0.774
## 488 0.723 -0.063 0.806
## 489 0.788 -0.155 0.702
## 490 0.825 -0.084 0.730
## 491 0.787 -0.191 0.646
## 492 0.719 -0.167 0.661
## 493 0.801 -0.114 0.666
## 494 0.846 -0.015 0.774
## 495 0.879 -0.167 0.734
## 496 0.869 -0.099 0.831
## 497 0.830 -0.115 0.839
## 498 0.829 -0.157 0.855
## 499 0.817 NA NA
## 500 0.609 -0.121 NA
## 501 NA -0.087 0.914
## 502 0.611 -0.100 0.801
## 503 0.486 -0.076 0.826
## 504 0.590 -0.151 0.859
## 505 0.452 -0.138 0.880
## 506 0.474 -0.141 0.913
## 507 0.578 -0.126 0.749
## 508 0.659 -0.089 0.684
## 509 0.656 -0.141 0.818
## 510 0.593 -0.152 NA
## 511 0.682 -0.215 NA
## 512 0.774 -0.199 NA
## 513 0.770 -0.112 NA
## 514 0.683 -0.056 0.807
## 515 0.639 -0.015 0.785
## 516 0.636 -0.078 0.735
## 517 0.671 -0.103 0.648
## 518 0.669 -0.064 0.694
## 519 0.747 -0.126 0.707
## 520 0.683 -0.155 0.786
## 521 0.716 -0.150 0.772
## 522 0.778 -0.194 0.781
## 523 0.733 -0.156 0.805
## 524 0.800 -0.185 0.797
## 525 0.758 -0.172 0.778
## 526 0.863 -0.095 0.801
## 527 0.877 -0.109 0.682
## 528 0.924 -0.126 0.583
## 529 0.749 -0.264 0.797
## 530 0.712 -0.246 0.743
## 531 0.642 -0.217 0.663
## 532 0.611 -0.230 0.793
## 533 0.735 -0.168 0.687
## 534 0.697 -0.192 0.793
## 535 0.754 -0.201 0.726
## 536 0.773 -0.153 0.652
## 537 0.815 -0.164 0.569
## 538 0.843 -0.149 0.639
## 539 0.862 -0.101 0.668
## 540 0.886 -0.141 0.621
## 541 0.887 -0.096 0.576
## 542 0.954 -0.082 0.398
## 543 0.776 -0.044 NA
## 544 0.707 -0.008 0.750
## 545 0.694 0.080 0.702
## 546 0.803 0.113 0.567
## 547 0.744 0.038 0.703
## 548 0.717 0.001 0.757
## 549 0.740 0.039 0.799
## 550 0.754 0.053 0.732
## 551 0.769 0.188 0.784
## 552 0.969 -0.005 0.132
## 553 0.934 0.028 0.217
## 554 0.916 0.091 0.413
## 555 0.936 0.101 0.320
## 556 0.921 -0.001 0.361
## 557 0.919 0.040 0.306
## 558 0.933 -0.001 0.265
## 559 0.930 0.111 0.223
## 560 0.948 -0.027 0.250
## 561 0.962 -0.002 0.192
## 562 0.938 -0.127 0.199
## 563 0.948 -0.052 0.195
## 564 0.962 -0.116 0.164
## 565 0.895 NA 0.688
## 566 0.789 0.126 0.699
## 567 0.833 -0.031 0.669
## 568 0.798 -0.082 0.654
## 569 0.850 -0.104 0.623
## 570 0.903 -0.102 0.627
## 571 0.841 -0.149 0.608
## 572 0.878 -0.125 0.699
## 573 0.803 -0.118 0.656
## 574 0.817 -0.139 0.641
## 575 0.787 -0.091 0.623
## 576 0.834 -0.123 0.601
## 577 0.816 -0.138 0.582
## 578 0.827 -0.133 0.568
## 579 0.823 -0.169 0.565
## 580 0.772 -0.211 0.851
## 581 0.566 -0.195 0.810
## 582 0.682 -0.146 0.780
## 583 0.607 -0.198 0.782
## 584 0.671 -0.194 0.867
## 585 0.699 -0.204 0.817
## 586 0.652 -0.228 0.868
## 587 0.719 -0.197 0.823
## 588 0.736 -0.203 0.846
## 589 0.812 0.111 0.572
## 590 0.719 0.440 0.691
## 591 0.677 0.410 0.798
## 592 0.553 -0.267 0.752
## 593 0.464 -0.267 0.697
## 594 0.614 -0.224 0.498
## 595 0.495 -0.233 0.535
## 596 0.558 -0.248 0.460
## 597 0.632 -0.255 0.353
## 598 0.659 -0.269 0.321
## 599 0.722 -0.254 0.349
## 600 0.720 -0.233 0.416
## 601 0.640 -0.205 0.502
## 602 0.606 -0.249 0.561
## 603 0.821 -0.244 0.590
## 604 0.775 -0.233 0.755
## 605 0.811 -0.260 0.647
## 606 0.764 -0.221 0.583
## 607 0.847 NA 0.781
## 608 0.801 0.167 0.792
## 609 0.766 NA 0.758
## 610 0.844 0.127 0.690
## 611 0.843 0.095 0.688
## 612 0.906 0.033 0.677
## 613 0.904 0.071 0.679
## 614 0.894 0.024 0.566
## 615 0.899 0.088 0.474
## 616 0.889 0.178 0.412
## 617 0.871 0.148 0.446
## 618 0.841 0.145 0.414
## 619 0.877 0.034 0.496
## 620 0.885 0.057 0.462
## 621 0.864 -0.060 0.424
## 622 0.849 0.213 0.814
## 623 0.891 0.138 0.771
## 624 0.838 0.120 0.863
## 625 0.757 0.005 0.890
## 626 0.891 0.074 0.875
## 627 0.852 0.011 0.790
## 628 0.679 0.040 0.898
## 629 0.794 -0.065 0.880
## 630 0.677 0.001 0.913
## 631 0.852 -0.038 0.945
## 632 0.751 0.090 0.894
## 633 0.783 0.079 0.839
## 634 0.817 0.062 0.846
## 635 0.787 0.116 0.857
## 636 0.824 0.200 0.847
## 637 0.734 NA 0.861
## 638 0.575 -0.190 0.845
## 639 0.443 -0.293 0.959
## 640 0.484 -0.303 0.954
## 641 0.528 -0.316 0.941
## 642 0.373 -0.305 0.959
## 643 0.426 -0.272 0.941
## 644 0.369 -0.288 0.930
## 645 0.532 -0.272 0.824
## 646 0.482 -0.260 0.898
## 647 0.438 -0.290 0.872
## 648 0.564 -0.335 0.860
## 649 0.614 -0.289 0.848
## 650 0.565 -0.241 0.764
## 651 0.663 0.172 0.706
## 652 0.628 0.136 0.810
## 653 0.630 0.206 0.796
## 654 0.643 0.197 0.755
## 655 0.696 0.166 0.795
## 656 0.763 0.009 0.863
## 657 0.865 0.020 0.821
## 658 0.884 0.045 0.817
## 659 0.843 0.108 0.804
## 660 0.869 0.051 0.822
## 661 0.863 0.011 0.812
## 662 0.915 -0.059 0.800
## 663 0.910 -0.010 0.765
## 664 0.901 -0.062 0.773
## 665 0.797 0.041 0.743
## 666 0.646 0.001 0.794
## 667 0.693 0.091 0.815
## 668 0.684 0.006 0.705
## 669 0.666 0.007 0.762
## 670 0.726 -0.056 0.803
## 671 0.738 0.038 0.750
## 672 0.731 0.092 0.778
## 673 0.691 0.097 0.756
## 674 0.694 0.110 0.836
## 675 0.449 0.401 0.854
## 676 0.465 0.261 0.812
## 677 0.373 0.216 0.848
## 678 0.413 0.243 0.682
## 679 0.482 0.289 0.717
## 680 0.610 0.289 0.669
## 681 0.509 0.285 0.708
## 682 0.398 0.306 0.777
## 683 0.304 0.291 0.839
## 684 0.484 0.381 0.647
## 685 0.591 0.422 0.720
## 686 0.650 0.089 0.844
## 687 0.676 0.230 0.826
## 688 0.687 0.223 0.863
## 689 0.661 0.119 0.857
## 690 0.646 0.105 0.820
## 691 0.783 0.095 0.884
## 692 0.700 -0.003 0.871
## 693 0.698 -0.027 0.868
## 694 0.696 0.015 0.834
## 695 0.534 -0.097 0.848
## 696 0.850 0.080 0.793
## 697 0.898 0.072 0.783
## 698 0.872 0.099 0.804
## 699 0.846 0.063 0.815
## 700 0.910 0.156 0.356
## 701 0.922 0.296 0.274
## 702 0.918 0.308 0.272
## 703 0.890 0.332 0.256
## 704 0.894 0.235 0.245
## 705 0.880 0.222 0.380
## 706 0.843 0.224 0.423
## 707 0.800 0.100 0.403
## 708 0.831 0.140 0.416
## 709 0.727 0.067 0.432
## 710 0.705 NA 0.380
## 711 0.697 NA 0.903
## 712 0.538 -0.161 0.895
## 713 0.464 -0.125 0.915
## 714 0.514 -0.145 0.983
## 715 0.631 -0.089 0.940
## 716 0.569 -0.136 0.930
## 717 0.674 -0.113 0.912
## 718 0.494 -0.150 0.855
## 719 0.558 -0.198 0.908
## 720 0.554 -0.187 0.924
## 721 0.661 -0.139 0.886
## 722 0.693 -0.243 0.911
## 723 0.798 -0.195 0.884
## 724 0.771 -0.120 0.836
## 725 0.885 0.272 0.708
## 726 0.905 0.241 0.759
## 727 0.923 0.306 0.713
## 728 0.940 0.301 0.639
## 729 0.952 0.281 0.719
## 730 0.939 0.246 0.727
## 731 0.959 NA 0.699
## 732 0.949 0.160 0.644
## 733 0.774 NA 0.855
## 734 0.729 -0.051 0.862
## 735 0.756 -0.072 0.891
## 736 0.679 -0.026 0.895
## 737 0.783 0.058 0.863
## 738 0.838 -0.038 0.908
## 739 0.609 0.067 0.830
## 740 0.740 0.084 0.832
## 741 0.809 -0.026 0.832
## 742 0.777 -0.005 0.776
## 743 0.820 0.046 0.765
## 744 0.886 -0.042 0.781
## 745 0.890 0.085 0.805
## 746 0.876 0.112 0.752
## 747 0.906 0.075 0.780
## 748 0.713 0.347 0.915
## 749 0.603 0.311 0.960
## 750 0.596 0.164 0.968
## 751 0.784 0.191 0.911
## 752 0.700 0.448 0.954
## 753 0.878 0.438 0.962
## 754 0.770 0.354 0.962
## 755 0.781 0.376 0.973
## 756 0.719 0.408 0.970
## 757 0.779 0.471 0.946
## 758 0.830 0.500 0.890
## 759 0.865 0.488 0.900
## 760 0.879 0.512 0.868
## 761 0.866 0.555 0.861
## 762 0.651 NA 0.636
## 763 0.533 0.056 0.872
## 764 0.601 0.052 0.868
## 765 0.798 0.200 0.665
## 766 0.764 NA 0.678
## 767 0.730 0.216 0.685
## 768 0.767 0.241 0.640
## 769 0.780 0.176 0.699
## 770 0.773 0.186 0.713
## 771 0.731 0.218 0.715
## 772 0.603 NA 0.703
## 773 0.623 NA 0.728
## 774 0.600 NA 0.710
## 775 0.386 -0.061 0.910
## 776 0.431 -0.199 0.854
## 777 0.419 -0.125 0.859
## 778 0.347 -0.070 0.780
## 779 0.315 -0.020 0.789
## 780 NA -0.050 0.710
## 781 0.646 -0.001 0.726
## 782 0.599 0.019 0.762
## 783 0.666 -0.052 0.799
## 784 0.628 0.000 0.757
## 785 0.598 -0.068 0.887
## 786 0.700 -0.021 0.849
## 787 0.943 0.242 0.473
## 788 0.894 0.322 0.487
## 789 0.835 0.315 0.580
## 790 0.856 0.348 0.618
## 791 0.952 0.383 0.590
## 792 0.902 0.302 0.573
## 793 0.884 0.331 0.558
## 794 0.922 0.264 0.406
## 795 0.892 0.233 0.409
## 796 0.875 0.174 0.399
## 797 0.905 0.216 0.337
## 798 0.861 0.144 0.362
## 799 0.892 0.074 0.373
## 800 0.882 0.014 0.356
## 801 0.817 NA 0.905
## 802 0.683 0.219 0.868
## 803 0.663 0.139 0.898
## 804 0.593 0.172 0.923
## 805 0.561 0.150 0.902
## 806 0.722 0.141 0.891
## 807 0.681 0.153 0.862
## 808 0.739 0.150 0.849
## 809 0.707 0.094 0.818
## 810 0.753 0.108 0.789
## 811 0.772 0.153 0.804
## 812 0.768 0.145 0.793
## 813 0.725 0.055 0.770
## 814 0.834 0.085 0.743
## 815 0.831 -0.049 0.748
## 816 0.802 NA 0.944
## 817 0.684 0.113 0.922
## 818 0.543 0.049 0.946
## 819 0.701 0.240 0.890
## 820 0.738 -0.060 0.921
## 821 0.568 -0.018 0.933
## 822 0.570 0.113 0.908
## 823 0.499 -0.102 0.943
## 824 0.624 -0.065 0.920
## 825 0.575 -0.064 0.913
## 826 0.624 -0.081 0.903
## 827 0.633 -0.035 0.867
## 828 0.650 -0.021 0.888
## 829 0.709 -0.082 0.866
## 830 0.718 -0.150 0.844
## 831 0.760 -0.153 0.902
## 832 0.739 -0.031 0.691
## 833 0.781 -0.080 0.671
## 834 0.800 -0.053 0.744
## 835 0.769 -0.043 0.757
## 836 0.732 -0.111 0.771
## 837 0.713 -0.050 0.791
## 838 0.736 -0.017 0.799
## 839 0.770 0.016 0.777
## 840 0.738 -0.004 0.946
## 841 0.796 -0.064 0.909
## 842 0.793 -0.021 0.931
## 843 0.809 -0.001 0.861
## 844 0.861 -0.130 0.883
## 845 0.891 -0.137 0.885
## 846 0.868 NA 0.699
## 847 0.796 -0.090 0.809
## 848 0.772 -0.135 0.816
## 849 0.730 -0.210 0.740
## 850 0.772 -0.140 0.770
## 851 0.814 -0.052 0.734
## 852 0.753 NA 0.692
## 853 0.821 -0.147 0.650
## 854 0.838 -0.139 0.617
## 855 0.832 -0.155 0.654
## 856 0.836 -0.062 0.698
## 857 0.849 -0.206 0.659
## 858 0.773 -0.261 0.687
## 859 0.806 -0.255 0.617
## 860 0.806 -0.259 0.609
## 861 NA NA 0.670
## 862 0.646 -0.112 0.664
## 863 NA -0.127 0.709
## 864 0.771 -0.075 0.739
## 865 0.788 -0.046 NA
## 866 0.760 -0.143 NA
## 867 0.693 -0.160 NA
## 868 0.692 -0.117 NA
## 869 0.729 -0.104 NA
## 870 0.767 -0.046 NA
## 871 0.771 -0.038 NA
## 872 0.766 -0.152 NA
## 873 0.762 -0.186 NA
## 874 0.726 -0.165 NA
## 875 0.779 -0.150 NA
## 876 0.731 -0.274 0.865
## 877 0.806 -0.246 0.865
## 878 0.727 -0.221 0.899
## 879 0.856 -0.249 0.845
## 880 0.785 -0.215 0.823
## 881 0.878 -0.235 0.802
## 882 0.840 -0.171 0.877
## 883 0.782 -0.229 0.820
## 884 0.799 0.004 0.805
## 885 0.740 -0.037 0.714
## 886 0.783 -0.036 0.702
## 887 0.745 -0.035 0.755
## 888 0.840 -0.098 0.824
## 889 0.852 -0.055 0.708
## 890 0.872 -0.056 0.661
## 891 0.616 -0.020 0.860
## 892 0.750 0.054 0.799
## 893 0.620 -0.012 0.909
## 894 0.584 0.100 0.913
## 895 0.635 0.019 0.918
## 896 0.709 0.022 0.923
## 897 0.628 0.066 0.911
## 898 0.708 0.212 0.861
## 899 0.819 0.172 0.849
## 900 0.793 0.221 0.853
## 901 0.749 0.298 0.828
## 902 0.853 0.234 0.854
## 903 0.821 0.291 0.844
## 904 0.818 0.310 0.794
## 905 0.702 0.260 0.837
## 906 0.381 0.144 0.894
## 907 NA 0.090 0.849
## 908 0.506 0.201 0.968
## 909 0.451 0.170 0.967
## 910 0.589 0.004 0.919
## 911 0.636 0.027 0.950
## 912 0.568 0.115 0.935
## 913 0.441 0.012 0.775
## 914 0.561 0.181 0.851
## 915 0.827 0.125 0.941
## 916 0.858 0.117 0.925
## 917 0.890 0.269 0.922
## 918 0.841 0.247 0.920
## 919 0.880 NA 0.910
## 920 0.769 -0.236 0.328
## 921 0.819 0.007 0.675
## 922 0.703 -0.031 0.486
## 923 0.769 NA 0.560
## 924 0.934 NA NA
## 925 0.751 NA NA
## 926 NA NA NA
## 927 0.822 0.082 NA
## 928 0.841 -0.075 NA
## 929 0.884 -0.005 NA
## 930 0.867 -0.104 NA
## 931 0.678 -0.140 0.879
## 932 0.684 -0.091 0.929
## 933 0.719 -0.100 0.923
## 934 0.699 -0.140 0.896
## 935 0.720 -0.072 0.926
## 936 0.748 -0.155 0.932
## 937 0.703 -0.079 0.892
## 938 0.755 -0.085 0.900
## 939 0.736 0.355 0.897
## 940 0.813 0.200 0.858
## 941 0.814 0.056 0.917
## 942 0.859 0.143 0.874
## 943 0.945 0.267 0.907
## 944 0.920 -0.002 0.885
## 945 0.935 0.103 0.931
## 946 0.925 0.439 0.688
## 947 0.867 0.478 0.580
## 948 0.886 0.416 0.637
## 949 0.882 0.459 0.587
## 950 NA 0.232 NA
## 951 0.891 0.073 0.592
## 952 0.907 0.141 0.634
## 953 0.906 0.061 0.620
## 954 0.915 0.141 0.748
## 955 0.641 -0.229 0.937
## 956 0.700 -0.167 0.924
## 957 0.630 -0.203 0.926
## 958 0.437 -0.180 0.942
## 959 0.564 -0.002 0.934
## 960 0.564 -0.038 0.895
## 961 0.631 -0.073 0.837
## 962 0.671 -0.043 0.804
## 963 0.656 -0.077 0.808
## 964 0.685 -0.156 0.868
## 965 0.700 -0.154 0.798
## 966 0.608 -0.212 0.799
## 967 0.698 -0.194 0.789
## 968 0.820 -0.078 0.809
## 969 0.703 NA 0.945
## 970 0.670 0.069 0.902
## 971 0.524 0.035 0.927
## 972 0.665 0.071 0.937
## 973 0.678 0.073 0.949
## 974 0.657 0.006 0.911
## 975 0.621 -0.006 0.856
## 976 0.655 -0.004 0.921
## 977 0.657 -0.012 0.939
## 978 0.597 0.073 0.889
## 979 0.657 0.031 0.853
## 980 0.605 -0.074 0.911
## 981 0.607 -0.066 0.907
## 982 0.447 -0.081 0.890
## 983 0.618 -0.087 0.768
## 984 0.729 -0.099 0.743
## 985 0.757 -0.145 0.797
## 986 0.716 -0.131 0.915
## 987 0.790 0.115 0.776
## 988 0.724 -0.035 0.840
## 989 0.819 -0.038 0.818
## 990 0.590 -0.030 0.869
## 991 0.671 -0.061 0.903
## 992 0.763 0.033 0.901
## 993 0.733 -0.012 0.867
## 994 0.766 0.050 0.868
## 995 0.706 0.051 0.828
## 996 0.712 -0.032 0.791
## 997 0.775 -0.044 NA
## 998 0.822 -0.089 NA
## 999 0.779 -0.019 0.673
## 1000 0.781 -0.101 0.646
## 1001 0.762 -0.073 0.686
## 1002 0.567 -0.295 0.967
## 1003 0.590 -0.282 0.966
## 1004 0.621 -0.259 0.961
## 1005 0.496 -0.303 0.979
## 1006 0.519 -0.275 0.962
## 1007 0.566 -0.148 0.964
## 1008 0.503 -0.273 0.957
## 1009 0.556 -0.237 0.936
## 1010 0.508 -0.263 0.956
## 1011 0.641 -0.254 0.924
## 1012 0.614 -0.266 0.949
## 1013 0.749 -0.174 0.790
## 1014 0.699 -0.237 0.852
## 1015 0.780 -0.251 0.783
## 1016 0.824 -0.122 0.829
## 1017 0.939 0.127 0.432
## 1018 0.908 0.096 0.423
## 1019 0.962 0.106 0.388
## 1020 0.917 0.059 0.403
## 1021 0.790 -0.054 0.301
## 1022 0.938 0.106 0.366
## 1023 0.932 0.052 0.375
## 1024 0.882 0.019 0.356
## 1025 0.903 0.044 0.330
## 1026 0.884 -0.022 0.385
## 1027 0.930 -0.045 0.390
## 1028 NA -0.039 NA
## 1029 0.332 -0.099 0.773
## 1030 0.546 -0.062 0.897
## 1031 0.487 -0.055 0.854
## 1032 0.480 -0.019 0.868
## 1033 0.529 -0.023 0.791
## 1034 0.545 -0.041 0.861
## 1035 0.570 -0.069 0.864
## 1036 0.570 -0.033 0.847
## 1037 0.551 0.003 0.889
## 1038 0.550 -0.012 0.720
## 1039 0.767 0.200 0.676
## 1040 0.910 0.202 0.691
## 1041 0.879 0.176 0.689
## 1042 0.733 0.099 0.853
## 1043 0.637 0.169 0.886
## 1044 0.752 0.078 0.857
## 1045 0.786 0.061 0.824
## 1046 0.801 0.058 0.835
## 1047 0.810 0.066 0.824
## 1048 0.848 0.025 0.735
## 1049 0.799 0.073 0.766
## 1050 0.765 0.004 0.680
## 1051 0.837 0.201 0.740
## 1052 0.844 0.089 0.799
## 1053 0.780 0.044 0.884
## 1054 0.874 -0.009 0.858
## 1055 0.769 0.032 0.844
## 1056 0.840 -0.016 0.842
## 1057 0.848 0.017 0.847
## 1058 0.791 0.264 0.755
## 1059 0.808 0.239 0.845
## 1060 0.675 0.222 0.838
## 1061 0.875 0.127 0.894
## 1062 0.916 0.123 0.782
## 1063 0.855 0.024 NA
## 1064 0.555 -0.072 0.761
## 1065 0.495 -0.012 0.918
## 1066 0.634 0.008 0.819
## 1067 0.749 -0.028 0.811
## 1068 0.823 -0.101 0.726
## 1069 0.704 -0.088 0.787
## 1070 0.665 -0.053 0.755
## 1071 0.652 -0.037 0.658
## 1072 0.634 -0.068 0.800
## 1073 0.696 -0.070 0.862
## 1074 0.753 -0.069 0.863
## 1075 0.737 -0.034 0.793
## 1076 0.670 -0.038 0.846
## 1077 0.803 0.464 NA
## 1078 0.802 0.287 NA
## 1079 0.882 0.296 NA
## 1080 0.861 0.352 NA
## 1081 0.909 0.410 NA
## 1082 0.904 0.404 0.670
## 1083 0.912 0.347 0.664
## 1084 0.916 0.345 0.696
## 1085 0.924 0.253 0.690
## 1086 0.927 0.179 0.595
## 1087 0.924 0.087 0.689
## 1088 0.931 NA 0.675
## 1089 0.573 -0.072 0.586
## 1090 0.593 -0.018 0.841
## 1091 0.735 0.039 0.848
## 1092 0.669 0.055 0.727
## 1093 0.567 0.052 0.747
## 1094 0.487 -0.021 0.707
## 1095 0.603 -0.079 0.676
## 1096 0.468 -0.054 0.589
## 1097 0.447 0.055 0.715
## 1098 0.467 -0.175 0.842
## 1099 0.527 -0.153 0.777
## 1100 0.467 -0.112 0.711
## 1101 0.628 -0.102 0.743
## 1102 0.848 0.191 0.847
## 1103 0.824 0.176 0.879
## 1104 0.819 0.139 0.891
## 1105 0.912 0.087 0.818
## 1106 0.867 -0.073 0.785
## 1107 0.893 -0.053 0.810
## 1108 0.843 -0.037 0.772
## 1109 0.814 NA 0.764
## 1110 0.670 -0.095 0.747
## 1111 0.677 -0.128 0.785
## 1112 0.682 -0.076 0.764
## 1113 0.778 -0.048 0.693
## 1114 0.831 -0.099 0.698
## 1115 0.788 -0.093 0.633
## 1116 0.739 -0.165 0.615
## 1117 0.779 -0.094 0.630
## 1118 0.719 -0.152 0.708
## 1119 0.752 -0.153 0.809
## 1120 0.861 -0.202 0.801
## 1121 0.816 -0.179 0.809
## 1122 0.903 -0.141 0.809
## 1123 0.873 -0.119 0.778
## 1124 0.554 -0.164 0.926
## 1125 0.696 -0.186 0.930
## 1126 0.641 -0.056 0.926
## 1127 0.551 -0.099 0.925
## 1128 0.598 -0.088 0.929
## 1129 0.628 -0.082 0.957
## 1130 0.602 -0.050 0.955
## 1131 0.658 -0.069 0.941
## 1132 0.623 -0.113 0.925
## 1133 0.595 -0.090 0.943
## 1134 0.557 -0.047 0.969
## 1135 0.553 -0.053 0.926
## 1136 0.824 -0.084 0.929
## 1137 0.784 -0.092 0.884
## 1138 0.859 -0.058 0.941
## 1139 0.781 0.064 0.918
## 1140 0.484 0.068 0.962
## 1141 0.631 0.099 0.928
## 1142 0.700 0.151 0.931
## 1143 0.688 0.107 0.932
## 1144 0.748 0.136 0.928
## 1145 0.752 0.146 0.909
## 1146 0.686 0.173 0.900
## 1147 0.760 0.090 0.900
## 1148 0.675 0.119 0.865
## 1149 0.696 0.054 0.849
## 1150 0.711 0.149 0.873
## 1151 0.718 0.141 0.843
## 1152 0.512 -0.134 0.815
## 1153 0.556 -0.101 0.838
## 1154 0.552 -0.206 0.757
## 1155 0.546 -0.226 0.762
## 1156 0.462 -0.192 0.755
## 1157 0.502 -0.176 0.693
## 1158 0.503 0.097 0.768
## 1159 0.583 -0.144 0.781
## 1160 0.569 -0.087 0.849
## 1161 0.626 -0.083 0.756
## 1162 0.626 -0.051 0.769
## 1163 0.694 -0.105 0.820
## 1164 0.802 0.060 0.845
## 1165 0.663 -0.162 0.900
## 1166 0.579 -0.218 0.875
## 1167 0.757 -0.187 0.845
## 1168 0.572 -0.210 0.771
## 1169 0.713 -0.228 0.842
## 1170 0.817 -0.237 0.717
## 1171 0.814 -0.216 0.841
## 1172 0.773 -0.234 0.843
## 1173 0.757 -0.244 0.757
## 1174 0.819 -0.229 0.803
## 1175 0.684 0.041 0.758
## 1176 0.643 0.074 0.854
## 1177 0.514 0.006 0.864
## 1178 0.639 -0.024 0.719
## 1179 0.813 0.089 0.632
## 1180 0.823 -0.030 0.682
## 1181 0.897 0.049 0.691
## 1182 0.870 0.073 0.682
## 1183 0.691 0.645 0.695
## 1184 0.775 0.689 0.638
## 1185 NA 0.698 0.592
## 1186 0.808 0.688 0.633
## 1187 0.877 0.679 0.607
## 1188 0.886 0.650 0.619
## 1189 0.906 0.490 0.647
## 1190 0.899 0.561 0.682
## 1191 0.825 0.470 0.647
## 1192 0.781 -0.101 0.839
## 1193 0.849 -0.183 0.790
## 1194 0.810 -0.190 0.831
## 1195 0.754 -0.169 0.846
## 1196 0.739 -0.174 0.879
## 1197 0.666 -0.104 0.810
## 1198 0.689 NA 0.897
## 1199 0.413 0.317 0.891
## 1200 0.618 0.291 0.900
## 1201 0.616 0.044 0.950
## 1202 0.519 0.092 0.911
## 1203 0.525 -0.010 0.935
## 1204 0.638 0.070 0.883
## 1205 0.722 0.151 0.877
## 1206 0.712 0.121 0.841
## 1207 0.763 0.227 0.824
## 1208 0.839 0.168 0.817
## 1209 0.845 0.134 0.770
## 1210 0.770 0.122 0.742
## 1211 0.790 0.167 0.712
## 1212 0.901 NA 0.571
## 1213 0.896 0.344 0.445
## 1214 0.883 0.365 0.419
## 1215 0.921 0.349 0.399
## 1216 0.925 0.336 0.359
## 1217 0.877 0.288 0.434
## 1218 0.919 0.305 0.505
## 1219 0.910 0.331 0.457
## 1220 0.904 0.261 0.412
## 1221 0.907 0.239 0.433
## 1222 0.920 0.250 0.363
## 1223 0.920 0.161 0.371
## 1224 0.886 0.213 0.360
## 1225 0.935 0.151 0.281
## 1226 0.932 0.312 0.224
## 1227 0.878 0.279 0.295
## 1228 0.893 0.298 0.334
## 1229 0.918 0.254 0.321
## 1230 0.935 0.284 0.269
## 1231 0.902 0.287 0.289
## 1232 0.944 0.237 0.312
## 1233 0.932 0.348 0.273
## 1234 0.942 0.329 0.186
## 1235 0.927 0.266 0.278
## 1236 0.942 0.294 0.222
## 1237 0.949 0.120 0.207
## 1238 0.912 0.157 0.234
## 1239 0.918 0.125 0.283
## 1240 0.745 0.010 0.844
## 1241 0.836 0.140 0.826
## 1242 0.791 0.076 0.819
## 1243 0.746 0.070 0.794
## 1244 0.792 0.018 0.802
## 1245 0.779 -0.020 0.760
## 1246 0.850 0.017 0.644
## 1247 0.859 0.039 0.636
## 1248 0.817 0.104 0.699
## 1249 0.809 0.077 0.728
## 1250 0.717 0.039 0.731
## 1251 0.922 0.010 0.673
## 1252 0.797 0.009 0.713
## 1253 0.883 0.029 0.622
## 1254 0.750 0.076 0.755
## 1255 0.584 -0.056 0.748
## 1256 0.649 -0.055 0.749
## 1257 0.880 -0.009 0.483
## 1258 0.817 -0.023 0.529
## 1259 0.780 -0.055 0.549
## 1260 0.734 -0.064 0.777
## 1261 0.825 -0.077 0.711
## 1262 0.688 -0.046 0.605
## 1263 0.728 -0.032 0.703
## 1264 0.702 -0.016 0.814
## 1265 0.684 -0.030 0.778
## 1266 0.791 0.009 0.637
## 1267 0.831 0.026 0.729
## 1268 0.649 0.085 0.871
## 1269 0.635 0.136 0.918
## 1270 0.584 0.119 0.892
## 1271 0.537 0.067 0.913
## 1272 0.565 0.067 0.911
## 1273 0.652 0.066 0.900
## 1274 0.622 0.051 0.905
## 1275 0.680 -0.035 0.926
## 1276 0.798 0.043 0.905
## 1277 0.826 0.124 0.835
## 1278 0.790 -0.010 0.866
## 1279 0.729 0.032 0.873
## 1280 0.713 0.099 0.913
## 1281 0.693 NA 0.855
## 1282 0.775 NA 0.715
## 1283 0.830 NA 0.692
## 1284 0.785 NA 0.659
## 1285 0.796 NA 0.670
## 1286 0.797 NA 0.614
## 1287 0.793 NA 0.640
## 1288 0.439 0.080 0.870
## 1289 0.552 -0.042 0.844
## 1290 0.513 -0.058 0.856
## 1291 0.607 -0.087 0.865
## 1292 0.613 -0.084 0.920
## 1293 0.641 0.025 0.861
## 1294 0.645 0.035 0.861
## 1295 0.660 -0.047 0.824
## 1296 0.706 0.080 0.870
## 1297 0.752 -0.059 0.856
## 1298 0.745 -0.041 0.910
## 1299 0.725 0.024 0.923
## 1300 0.787 0.131 0.877
## 1301 0.960 0.109 0.397
## 1302 0.947 0.018 0.503
## 1303 0.947 0.147 0.368
## 1304 0.956 0.181 0.405
## 1305 0.948 0.257 0.299
## 1306 0.954 0.133 0.410
## 1307 0.953 0.236 0.250
## 1308 0.960 0.094 0.268
## 1309 0.954 0.111 0.271
## 1310 0.965 0.075 0.271
## 1311 0.916 0.025 NA
## 1312 0.630 NA 0.844
## 1313 0.396 0.089 0.794
## 1314 0.335 0.100 0.848
## 1315 0.388 0.077 0.874
## 1316 0.364 0.300 0.852
## 1317 0.376 0.030 0.857
## 1318 0.367 0.165 0.842
## 1319 0.448 0.100 0.792
## 1320 0.543 0.140 0.677
## 1321 0.587 0.085 0.717
## 1322 0.634 0.095 0.793
## 1323 0.713 0.045 0.714
## 1324 0.773 0.069 0.799
## 1325 0.685 0.124 0.776
## 1326 0.547 NA 0.858
## 1327 0.365 -0.080 0.844
## 1328 0.358 -0.070 0.753
## 1329 0.468 -0.085 0.797
## 1330 0.504 -0.117 0.752
## 1331 0.522 -0.127 0.750
## 1332 0.542 -0.153 0.730
## 1333 0.454 -0.150 0.780
## 1334 0.657 -0.147 0.804
## 1335 0.556 -0.153 0.774
## 1336 0.608 -0.129 0.812
## 1337 0.632 -0.163 0.831
## 1338 0.655 NA 0.814
## 1339 0.653 NA 0.829
## 1340 0.882 -0.047 0.912
## 1341 0.640 0.083 0.915
## 1342 0.707 0.060 0.881
## 1343 0.721 0.014 0.889
## 1344 0.755 -0.009 0.880
## 1345 0.829 0.009 0.840
## 1346 0.783 -0.002 0.796
## 1347 0.811 0.018 0.814
## 1348 0.894 0.002 0.847
## 1349 0.847 -0.007 0.810
## 1350 0.884 -0.102 0.837
## 1351 0.900 -0.170 0.841
## 1352 0.861 -0.131 0.837
## 1353 0.883 -0.199 0.869
## 1354 0.691 0.066 0.841
## 1355 0.699 0.132 0.930
## 1356 0.649 0.057 0.891
## 1357 0.718 0.027 0.857
## 1358 0.726 0.076 0.780
## 1359 0.666 0.191 0.756
## 1360 0.748 0.200 0.774
## 1361 0.909 0.046 0.903
## 1362 0.759 -0.002 0.762
## 1363 0.806 -0.008 0.863
## 1364 0.854 -0.071 0.756
## 1365 0.891 0.003 0.810
## 1366 0.876 0.028 0.882
## 1367 0.668 -0.071 0.895
## 1368 0.638 -0.078 0.931
## 1369 0.638 -0.067 0.896
## 1370 0.638 -0.079 0.880
## 1371 0.757 -0.060 0.881
## 1372 0.773 -0.123 0.824
## 1373 0.703 -0.079 0.867
## 1374 0.703 -0.066 0.870
## 1375 0.722 -0.136 0.878
## 1376 0.802 -0.090 0.884
## 1377 0.830 -0.134 0.866
## 1378 0.827 -0.154 0.895
## 1379 0.830 -0.178 0.906
## 1380 0.815 -0.130 0.874
## 1381 0.828 0.063 0.841
## 1382 0.852 -0.022 0.880
## 1383 0.861 0.083 0.817
## 1384 0.874 0.004 0.805
## 1385 0.893 0.033 0.812
## 1386 0.883 0.073 0.783
## 1387 0.914 0.053 0.771
## 1388 0.907 0.021 0.756
## 1389 0.902 -0.015 0.787
## 1390 0.912 -0.051 0.755
## 1391 0.908 -0.071 0.792
## 1392 0.926 -0.141 0.711
## 1393 0.918 -0.108 0.726
## 1394 0.910 -0.083 0.748
## 1395 0.932 -0.116 0.744
## 1396 0.782 NA 0.983
## 1397 0.772 -0.047 0.925
## 1398 0.821 0.073 0.898
## 1399 0.795 0.002 0.905
## 1400 0.868 -0.067 0.908
## 1401 0.811 -0.027 0.888
## 1402 0.776 -0.137 0.916
## 1403 0.875 -0.064 0.898
## 1404 0.793 -0.093 0.810
## 1405 0.871 -0.091 0.848
## 1406 0.831 -0.122 0.639
## 1407 0.870 -0.254 0.720
## 1408 0.883 -0.231 0.696
## 1409 0.767 -0.007 0.787
## 1410 0.882 -0.179 0.880
## 1411 0.646 -0.217 0.933
## 1412 0.721 -0.106 0.948
## 1413 0.875 -0.173 0.962
## 1414 0.774 -0.097 0.959
## 1415 0.788 -0.118 0.946
## 1416 0.847 -0.126 0.941
## 1417 0.800 -0.163 0.941
## 1418 0.838 -0.225 0.922
## 1419 0.905 -0.176 0.881
## 1420 0.877 -0.261 0.880
## 1421 0.882 -0.234 0.915
## 1422 0.913 -0.238 0.867
## 1423 0.865 0.235 0.184
## 1424 NA 0.104 NA
## 1425 0.905 0.012 NA
## 1426 0.924 0.162 NA
## 1427 NA NA NA
## 1428 0.800 NA 0.957
## 1429 0.686 -0.188 0.949
## 1430 0.606 -0.196 0.967
## 1431 0.566 -0.085 0.974
## 1432 0.650 -0.140 0.964
## 1433 0.645 -0.112 0.959
## 1434 0.655 -0.129 0.952
## 1435 0.754 -0.100 0.958
## 1436 0.796 -0.141 0.962
## 1437 0.822 -0.115 0.949
## 1438 0.839 -0.160 0.926
## 1439 0.845 -0.217 0.921
## 1440 0.848 -0.221 0.954
## 1441 0.643 -0.307 0.935
## 1442 0.593 -0.284 0.933
## 1443 0.643 -0.305 0.924
## 1444 0.617 -0.283 0.954
## 1445 0.613 -0.296 0.937
## 1446 0.626 -0.279 0.935
## 1447 0.609 -0.293 0.938
## 1448 0.661 -0.289 0.934
## 1449 0.744 -0.265 0.869
## 1450 0.685 -0.171 0.913
## 1451 0.714 -0.181 0.925
## 1452 0.731 -0.145 0.862
## 1453 0.729 -0.147 0.865
## 1454 0.715 -0.116 0.848
## 1455 0.714 -0.071 0.823
## 1456 0.915 NA 0.299
## 1457 0.752 0.017 0.286
## 1458 0.766 -0.001 0.410
## 1459 0.829 -0.039 0.161
## 1460 0.835 -0.012 0.081
## 1461 0.904 -0.028 0.117
## 1462 0.894 -0.023 0.078
## 1463 0.908 0.025 0.095
## 1464 0.911 0.025 0.159
## 1465 0.908 0.051 0.214
## 1466 0.924 0.057 0.164
## 1467 0.869 0.064 0.168
## 1468 NA NA 0.505
## 1469 0.622 0.005 NA
## 1470 0.532 -0.022 0.508
## 1471 0.639 -0.110 0.445
## 1472 0.678 -0.033 NA
## 1473 0.603 -0.142 NA
## 1474 0.560 -0.120 NA
## 1475 0.661 -0.081 NA
## 1476 0.762 -0.073 NA
## 1477 0.820 -0.045 NA
## 1478 0.774 -0.132 NA
## 1479 0.814 -0.131 NA
## 1480 0.855 -0.192 NA
## 1481 0.891 -0.147 NA
## 1482 0.884 -0.111 NA
## 1483 0.736 -0.051 0.805
## 1484 0.698 -0.002 0.827
## 1485 0.612 -0.030 0.879
## 1486 0.557 -0.036 0.918
## 1487 0.777 -0.077 0.851
## 1488 0.641 -0.160 0.870
## 1489 0.668 -0.036 0.852
## 1490 0.636 -0.052 0.837
## 1491 0.692 -0.045 0.700
## 1492 0.720 -0.111 0.765
## 1493 0.744 -0.086 0.794
## 1494 0.687 -0.044 0.825
## 1495 0.629 -0.074 0.805
## 1496 0.759 -0.019 0.796
## 1497 0.453 -0.165 0.905
## 1498 0.373 -0.178 0.961
## 1499 0.463 -0.170 0.965
## 1500 0.440 -0.185 0.977
## 1501 0.461 -0.130 0.952
## 1502 0.533 -0.100 0.908
## 1503 0.532 0.072 0.912
## 1504 0.546 -0.062 0.859
## 1505 0.614 -0.068 0.890
## 1506 0.685 -0.077 0.851
## 1507 0.740 -0.100 0.864
## 1508 0.753 -0.040 0.813
## 1509 0.843 0.149 0.824
## 1510 0.679 0.101 0.836
## 1511 0.720 0.248 0.830
## 1512 0.716 0.148 0.925
## 1513 0.726 0.012 0.910
## 1514 0.770 0.005 0.855
## 1515 0.720 -0.071 0.856
## 1516 0.681 0.034 0.786
## 1517 0.624 0.050 0.825
## 1518 0.681 0.106 0.863
## 1519 0.711 0.079 0.848
## 1520 0.716 0.095 0.856
## 1521 0.718 0.074 0.874
## 1522 0.757 0.138 NA
## 1523 0.867 0.293 0.064
## 1524 0.661 0.046 0.066
## 1525 0.776 -0.075 0.035
## 1526 0.846 -0.018 0.060
## 1527 0.822 -0.149 0.099
## 1528 0.827 0.115 0.242
## 1529 0.835 0.154 0.133
## 1530 0.887 0.150 0.099
## 1531 0.904 0.143 0.047
## 1532 0.926 0.136 0.162
## 1533 0.916 -0.066 0.097
## 1534 0.938 0.027 0.070
## 1535 0.542 -0.050 0.946
## 1536 0.636 -0.101 0.907
## 1537 0.727 0.010 0.907
## 1538 0.620 -0.028 0.907
## 1539 0.598 -0.051 0.915
## 1540 0.635 -0.126 0.914
## 1541 0.587 -0.128 0.928
## 1542 0.700 -0.061 0.917
## 1543 0.714 -0.055 0.920
## 1544 0.758 -0.167 0.910
## 1545 0.771 -0.129 0.926
## 1546 0.762 -0.075 0.901
## 1547 0.936 0.043 0.708
## 1548 0.896 -0.019 0.804
## 1549 0.896 0.029 0.845
## 1550 0.907 -0.025 0.893
## 1551 0.904 -0.020 0.891
## 1552 0.890 0.036 0.918
## 1553 0.888 0.052 0.909
## 1554 0.896 0.008 0.892
## 1555 0.904 -0.055 0.838
## 1556 0.921 -0.025 0.829
## 1557 0.942 -0.119 0.839
## 1558 0.945 -0.102 0.785
## 1559 0.958 -0.081 0.797
## 1560 0.874 NA 0.456
## 1561 0.968 NA 0.410
## 1562 0.917 NA 0.441
## 1563 0.746 NA 0.513
## 1564 0.820 NA 0.471
## 1565 0.858 NA 0.357
## 1566 0.758 NA 0.334
## 1567 0.649 -0.084 NA
## 1568 0.690 -0.158 0.859
## 1569 0.749 -0.095 0.866
## 1570 0.739 -0.154 0.904
## 1571 0.739 -0.202 0.791
## 1572 0.835 -0.154 0.819
## 1573 0.590 -0.163 0.838
## 1574 0.714 -0.077 0.800
## 1575 0.794 -0.117 0.820
## 1576 0.862 -0.127 0.853
## 1577 0.774 -0.070 0.813
## 1578 0.787 -0.129 0.865
## 1579 0.753 -0.050 0.841
## 1580 0.738 -0.134 0.820
## 1581 0.757 -0.015 0.912
## 1582 0.715 -0.052 0.799
## 1583 0.656 -0.059 0.803
## 1584 0.524 -0.102 0.771
## 1585 0.600 -0.096 0.787
## 1586 0.677 -0.033 0.752
## 1587 0.682 -0.048 0.827
## 1588 0.618 NA 0.844
## 1589 0.642 -0.050 0.832
## 1590 0.623 -0.043 0.834
## 1591 0.616 -0.036 0.841
## 1592 0.591 0.026 0.862
## 1593 0.538 0.014 0.851
## 1594 0.600 -0.089 0.797
## 1595 0.706 -0.055 0.718
## 1596 0.711 -0.106 0.665
## 1597 0.567 NA 0.742
## 1598 0.512 NA 0.710
## 1599 0.440 NA 0.785
## 1600 0.456 NA 0.761
## 1601 0.916 NA 0.777
## 1602 0.782 -0.093 0.784
## 1603 0.834 -0.150 0.683
## 1604 0.749 -0.127 0.798
## 1605 0.796 -0.138 0.840
## 1606 0.819 -0.122 0.846
## 1607 0.755 -0.059 0.844
## 1608 0.759 -0.101 0.916
## 1609 0.738 -0.028 0.854
## 1610 0.732 -0.072 0.822
## 1611 0.768 -0.048 0.819
## 1612 0.756 -0.032 0.791
## 1613 0.722 -0.075 0.777
## 1614 0.778 -0.049 0.730
## 1615 0.783 -0.121 0.730
## 1616 0.724 0.062 0.838
## 1617 0.736 0.110 0.847
## 1618 0.834 0.163 0.861
## 1619 0.799 0.306 0.690
## 1620 0.738 0.259 0.769
## 1621 0.823 0.145 0.760
## 1622 0.800 0.161 0.823
## 1623 0.834 0.268 0.842
## 1624 0.868 0.299 0.791
## 1625 0.902 0.319 0.859
## 1626 0.827 0.094 0.844
## 1627 0.859 0.106 0.856
## 1628 0.824 0.051 0.863
## 1629 0.710 0.077 0.701
## 1630 0.648 -0.040 0.737
## 1631 0.583 -0.024 0.663
## 1632 0.412 -0.056 0.734
## 1633 0.390 -0.063 0.794
## 1634 0.885 -0.077 0.751
## 1635 0.607 -0.067 0.917
## 1636 0.710 -0.178 0.692
## 1637 0.597 -0.191 0.724
## 1638 0.964 NA NA
## 1639 0.910 0.146 0.289
## 1640 0.912 0.125 0.314
## 1641 0.864 0.221 0.292
## 1642 0.905 0.141 0.253
## 1643 0.941 0.161 0.269
## 1644 0.944 0.132 0.254
## 1645 0.936 0.159 0.324
## 1646 0.945 0.202 0.250
## 1647 0.935 0.211 0.232
## 1648 0.918 0.146 0.246
## 1649 0.935 0.170 0.239
## 1650 0.942 0.077 0.263
## 1651 0.942 0.091 0.250
## 1652 0.951 0.091 0.203
## 1653 0.919 0.290 0.408
## 1654 0.891 0.125 0.342
## 1655 0.945 0.139 0.323
## 1656 0.949 0.060 0.283
## 1657 0.928 0.109 0.210
## 1658 0.934 0.088 0.302
## 1659 0.925 0.180 0.316
## 1660 0.926 0.101 0.301
## 1661 0.913 0.036 0.294
## 1662 0.917 -0.064 0.280
## 1663 0.661 0.122 0.680
## 1664 0.748 0.082 0.688
## 1665 0.647 0.008 0.743
## 1666 0.530 0.131 0.741
## 1667 0.467 0.316 0.673
## 1668 0.455 0.225 0.663
## 1669 0.448 0.045 0.685
## 1670 0.630 -0.030 0.846
## 1671 0.642 -0.017 0.785
## 1672 0.677 0.005 0.821
## 1673 0.761 0.035 0.755
## 1674 0.698 0.022 0.803
## 1675 0.690 0.002 0.841
## 1676 0.693 0.092 0.866
## 1677 0.701 0.019 0.857
## 1678 0.719 -0.049 0.811
## 1679 0.760 -0.070 0.743
## 1680 0.741 NA 0.736
## 1681 0.814 NA 0.718
## 1682 0.799 NA 0.711
## 1683 0.702 -0.088 0.768
## 1684 0.818 0.000 0.659
## 1685 0.816 0.018 0.723
## 1686 0.744 0.001 0.792
## 1687 0.784 0.062 0.679
## 1688 0.776 -0.119 0.672
## 1689 0.749 -0.073 0.717
## 1690 0.693 0.063 0.764
## 1691 0.853 0.002 0.698
## 1692 0.847 0.022 0.742
## 1693 0.703 0.010 0.632
## 1694 0.832 0.124 0.718
## 1695 NA -0.065 0.578
## 1696 NA -0.045 0.490
## 1697 NA -0.040 0.550
## 1698 0.787 -0.027 0.649
## 1699 0.716 -0.013 0.707
## 1700 0.562 0.256 0.930
## 1701 0.607 0.308 0.903
## 1702 0.597 0.139 0.866
## 1703 0.736 -0.046 0.816
## 1704 0.577 0.213 0.887
## 1705 0.654 0.054 0.859
## 1706 0.654 0.110 0.878
## 1707 0.759 0.149 0.906
## 1708 0.775 0.179 0.739
## 1709 0.800 0.116 0.654
## 1710 0.807 0.153 0.612
## 1711 0.850 0.100 0.589
## 1712 0.830 0.295 0.521
## 1713 0.863 0.331 0.935
## 1714 0.870 0.391 0.898
## 1715 0.868 0.425 0.933
## 1716 0.868 0.525 0.904
## 1717 0.860 0.536 0.917
## 1718 0.927 0.400 0.923
## 1719 0.847 0.380 0.909
## 1720 0.781 0.456 0.925
## 1721 0.900 0.553 0.920
## 1722 0.885 0.316 0.914
## 1723 0.924 0.356 0.878
## 1724 0.923 0.212 0.884
## 1725 0.905 0.259 0.907
## 1726 0.898 0.309 0.877
## 1727 0.840 0.273 0.918
## 1728 0.628 -0.007 0.850
## 1729 0.287 -0.055 0.932
## 1730 0.584 -0.070 0.832
## 1731 0.663 -0.085 0.795
## 1732 0.772 -0.069 0.733
## 1733 0.730 -0.007 0.815
## 1734 0.717 -0.042 0.726
## 1735 0.612 -0.007 0.809
## 1736 0.617 0.065 0.737
## 1737 0.840 0.141 0.917
## 1738 0.838 0.087 0.959
## 1739 0.775 0.078 0.900
## 1740 0.847 0.128 0.948
## 1741 0.859 0.015 0.911
## 1742 0.781 -0.119 0.722
## 1743 0.624 -0.135 0.732
## 1744 0.603 -0.199 0.913
## 1745 0.568 -0.176 0.899
## 1746 0.536 -0.207 0.886
## 1747 0.589 -0.232 0.783
## 1748 0.711 -0.226 0.815
## 1749 0.614 -0.165 0.811
## 1750 0.478 -0.219 0.869
## 1751 0.650 -0.191 0.840
## 1752 0.659 -0.209 0.889
## 1753 0.668 -0.202 0.877
## 1754 0.623 NA 0.877
## 1755 0.459 -0.178 0.800
## 1756 0.415 -0.189 0.785
## 1757 0.456 -0.227 0.853
## 1758 0.515 -0.187 0.811
## 1759 0.446 -0.242 0.649
## 1760 0.471 -0.216 0.702
## 1761 0.541 -0.229 0.698
## 1762 0.649 -0.024 0.764
## 1763 0.653 -0.016 0.806
## 1764 0.644 -0.065 0.764
## 1765 0.644 -0.237 0.671
## 1766 0.529 -0.176 0.805
## 1767 0.631 -0.136 0.760
## 1768 0.510 -0.111 0.774
## 1769 NA -0.102 NA
## 1770 NA 0.018 NA
## 1771 0.786 -0.123 NA
## 1772 0.705 -0.071 NA
## 1773 0.805 0.032 NA
## 1774 0.701 0.093 NA
## 1775 0.749 0.005 NA
## 1776 0.720 0.066 NA
## 1777 0.858 0.260 NA
## 1778 0.892 0.285 NA
## 1779 0.747 -0.041 0.807
## 1780 0.708 -0.001 0.881
## 1781 0.578 -0.055 0.848
## 1782 0.760 -0.037 0.840
## 1783 0.801 -0.015 0.855
## 1784 0.733 0.032 0.830
## 1785 0.649 0.081 0.838
## 1786 0.763 0.053 0.820
## 1787 0.834 0.009 0.898
## 1788 0.758 0.135 0.873
## 1789 0.739 0.132 0.811
## 1790 0.772 0.060 0.816
## 1791 0.729 0.079 0.856
## 1792 0.704 0.139 0.826
## 1793 0.687 0.147 0.878
## 1794 0.624 -0.257 0.929
## 1795 0.494 -0.241 0.968
## 1796 0.487 -0.265 0.929
## 1797 0.460 -0.241 0.962
## 1798 0.484 -0.189 0.954
## 1799 0.579 -0.228 0.933
## 1800 0.564 -0.223 0.896
## 1801 0.569 -0.216 0.937
## 1802 0.533 0.084 0.927
## 1803 0.431 -0.033 0.952
## 1804 0.503 0.011 0.891
## 1805 0.599 -0.002 0.937
## 1806 0.663 -0.074 0.943
## 1807 0.715 -0.081 0.885
## 1808 0.784 0.126 0.946
## 1809 0.898 -0.033 0.203
## 1810 0.849 0.019 0.339
## 1811 0.878 0.057 0.355
## 1812 0.889 0.071 NA
## 1813 0.920 NA NA
## 1814 0.936 NA NA
## 1815 NA NA NA
## 1816 0.915 0.201 NA
## 1817 0.949 0.131 NA
## 1818 0.962 0.216 NA
## 1819 0.944 0.054 NA
## 1820 0.911 0.129 NA
## 1821 0.942 0.060 NA
## 1822 0.922 NA 0.398
## 1823 0.838 0.336 0.498
## 1824 0.759 0.331 0.548
## 1825 0.816 0.341 0.559
## 1826 0.841 0.403 0.587
## 1827 0.900 0.336 0.438
## 1828 0.889 0.371 0.425
## 1829 0.905 0.346 0.568
## 1830 0.857 0.355 0.484
## 1831 0.833 0.300 0.456
## 1832 0.821 0.250 0.458
## 1833 0.813 0.291 0.419
## 1834 0.838 0.226 0.404
## 1835 0.854 0.271 0.485
## 1836 0.885 0.203 0.490
## 1837 0.911 NA 0.600
## 1838 0.872 0.197 0.633
## 1839 0.878 0.255 0.668
## 1840 0.831 0.201 0.665
## 1841 0.828 0.244 0.690
## 1842 0.863 0.161 0.697
## 1843 0.823 0.215 0.710
## 1844 0.792 0.274 0.747
## 1845 0.866 0.221 0.702
## 1846 0.849 0.219 0.698
## 1847 0.758 0.144 0.739
## 1848 0.868 0.197 0.681
## 1849 0.825 0.116 0.710
## 1850 0.836 0.144 0.707
## 1851 0.850 0.034 0.678
## 1852 0.807 -0.113 0.477
## 1853 0.786 -0.165 0.614
## 1854 0.808 -0.143 0.597
## 1855 0.825 -0.118 0.544
## 1856 0.832 -0.158 0.471
## 1857 0.851 -0.080 0.556
## 1858 0.871 0.067 0.615
## 1859 0.888 -0.043 0.586
## 1860 0.904 -0.073 0.533
## 1861 0.917 -0.032 0.673
## 1862 0.886 -0.072 0.676
## 1863 0.898 -0.091 0.627
## 1864 0.876 -0.097 0.683
## 1865 0.903 -0.095 0.599
## 1866 0.908 -0.084 0.491
## 1867 0.784 -0.115 0.609
## 1868 0.831 -0.023 NA
## 1869 NA 0.013 0.610
## 1870 NA -0.030 0.519
## 1871 0.934 0.042 0.522
## 1872 0.914 -0.037 0.463
## 1873 0.950 -0.034 0.434
## 1874 0.954 0.061 0.536
## 1875 0.980 0.375 0.471
## 1876 0.984 0.208 NA
## 1877 0.985 0.123 0.465
## 1878 0.970 0.318 0.520
## 1879 0.970 0.304 0.511
## 1880 0.838 NA 0.720
## 1881 0.798 -0.031 0.646
## 1882 0.678 -0.225 0.776
## 1883 0.677 -0.116 0.828
## 1884 0.768 -0.155 0.754
## 1885 0.766 -0.226 0.772
## 1886 0.804 -0.193 0.743
## 1887 0.642 -0.220 0.837
## 1888 0.570 -0.199 0.827
## 1889 0.512 -0.117 0.813
## 1890 0.458 -0.155 0.890
## 1891 0.636 -0.169 0.844
## 1892 0.611 NA 0.828
## 1893 0.626 NA 0.839
## 1894 0.612 NA 0.811
## 1895 0.886 0.015 NA
## 1896 0.918 0.089 0.754
## 1897 0.889 0.201 0.789
## 1898 0.834 -0.062 0.838
## 1899 0.831 -0.006 0.743
## 1900 0.818 0.105 0.742
## 1901 0.856 -0.110 0.815
## 1902 0.920 -0.027 0.771
## 1903 NA 0.000 NA
## 1904 NA 0.086 NA
## 1905 0.894 -0.090 0.799
## 1906 NA NA NA
## 1907 0.909 -0.041 0.808
## 1908 0.952 -0.126 0.788
## 1909 0.673 0.011 NA
## 1910 0.644 -0.052 0.832
## 1911 0.659 -0.104 0.853
## 1912 0.638 -0.173 0.754
## 1913 0.706 -0.171 0.793
## 1914 0.543 -0.179 0.885
## 1915 0.664 -0.157 0.885
## 1916 0.610 -0.139 0.829
## 1917 0.533 -0.151 NA
## 1918 0.595 -0.147 NA
## 1919 0.553 NA 0.793
## 1920 0.651 NA 0.798
## 1921 0.721 -0.006 0.785
## 1922 0.682 -0.067 0.948
## 1923 0.717 0.056 0.890
## 1924 0.696 -0.096 0.917
## 1925 0.663 0.003 0.882
## 1926 0.788 0.008 0.806
## 1927 0.770 -0.104 0.732
## 1928 0.812 -0.011 0.809
## 1929 0.759 -0.039 0.871
## 1930 0.812 0.122 0.771
## 1931 0.823 0.140 0.740
## 1932 0.791 0.048 0.811
## 1933 0.811 0.077 0.832
## 1934 0.750 0.056 0.810
## 1935 0.431 -0.076 0.905
## 1936 0.456 -0.082 0.946
## 1937 0.344 -0.090 0.964
## 1938 0.411 -0.078 0.931
## 1939 0.665 -0.093 0.828
## 1940 0.633 -0.088 0.830
## 1941 0.470 -0.103 0.859
## 1942 0.576 -0.104 0.831
## 1943 0.642 -0.074 0.820
## 1944 0.667 -0.123 0.810
## 1945 0.733 -0.095 0.724
## 1946 0.753 -0.098 0.751
## 1947 0.763 -0.068 0.844
## 1948 0.632 -0.064 0.831
## 1949 0.643 -0.009 0.789
## Positive.affect Negative.affect Healthy.life.expectancy.at.birth_new
## 1 0.518 0.258 5.0800
## 2 0.584 0.237 5.1200
## 3 0.618 0.275 5.1600
## 4 0.611 0.267 5.1920
## 5 0.710 0.268 5.2240
## 6 0.621 0.273 5.2560
## 7 0.532 0.375 5.2880
## 8 0.554 0.339 5.3200
## 9 0.565 0.348 5.3000
## 10 0.496 0.371 5.2800
## 11 0.424 0.405 5.2600
## 12 0.351 0.502 5.2400
## 13 0.553 0.246 6.5800
## 14 0.640 0.279 6.6200
## 15 0.648 0.300 6.6400
## 16 0.628 0.257 6.6680
## 17 0.607 0.271 6.6960
## 18 0.634 0.338 6.7240
## 19 0.685 0.335 6.7520
## 20 0.688 0.350 6.7800
## 21 0.675 0.322 6.8100
## 22 0.669 0.334 6.8400
## 23 0.713 0.319 6.8700
## 24 0.681 0.274 6.9000
## 25 0.679 0.265 6.9300
## 26 NA NA 6.4500
## 27 0.550 0.255 6.4660
## 28 0.604 0.230 6.4820
## 29 0.626 0.177 6.5140
## 30 0.661 0.377 6.5500
## 31 0.642 0.289 6.5700
## 32 0.591 0.293 6.5900
## 33 0.585 0.215 6.6100
## 34 0.659 0.361 5.2500
## 35 0.558 0.305 5.3200
## 36 0.658 0.371 5.3900
## 37 0.579 0.368 5.4600
## 38 0.825 0.328 6.6820
## 39 0.828 0.279 6.6940
## 40 0.823 0.318 6.7060
## 41 0.864 0.237 6.7180
## 42 0.846 0.211 6.7300
## 43 0.840 0.232 6.7480
## 44 0.857 0.272 6.7660
## 45 0.842 0.254 6.7840
## 46 0.857 0.238 6.8020
## 47 0.859 0.305 6.8200
## 48 0.842 0.312 6.8400
## 49 0.809 0.292 6.8600
## 50 0.820 0.321 6.8800
## 51 0.826 0.319 6.9000
## 52 0.764 0.342 6.9200
## 53 0.494 0.469 6.4800
## 54 0.507 0.412 6.4900
## 55 0.521 0.385 6.5000
## 56 0.543 0.411 6.5100
## 57 0.510 0.426 6.5200
## 58 0.475 0.459 6.5360
## 59 0.518 0.464 6.5520
## 60 0.562 0.450 6.5680
## 61 0.581 0.404 6.5840
## 62 0.594 0.438 6.6000
## 63 0.594 0.437 6.6300
## 64 0.625 0.437 6.6600
## 65 0.581 0.455 6.6900
## 66 0.598 0.430 6.7200
## 67 0.843 0.238 7.1400
## 68 0.826 0.215 7.1720
## 69 0.826 0.218 7.1880
## 70 0.834 0.220 7.2200
## 71 0.816 0.195 7.2300
## 72 0.811 0.214 7.2400
## 73 0.819 0.177 7.2500
## 74 0.775 0.245 7.2600
## 75 0.790 0.210 7.2700
## 76 0.791 0.236 7.3000
## 77 0.780 0.225 7.3300
## 78 0.759 0.187 7.3600
## 79 0.770 0.202 7.3900
## 80 0.769 0.205 7.4200
## 81 0.823 0.174 7.0760
## 82 0.832 0.173 7.1080
## 83 0.815 0.156 7.1400
## 84 0.789 0.145 7.1540
## 85 0.822 0.157 7.1680
## 86 0.787 0.163 7.1820
## 87 0.780 0.170 7.1960
## 88 0.798 0.164 7.2100
## 89 0.756 0.197 7.2400
## 90 0.748 0.180 7.2700
## 91 0.752 0.226 7.3000
## 92 0.774 0.205 7.3300
## 93 0.769 0.206 7.3600
## 94 0.512 0.276 6.1880
## 95 0.521 0.284 6.2260
## 96 0.578 0.227 6.2640
## 97 0.544 0.234 6.3020
## 98 0.527 0.272 6.3400
## 99 0.536 0.258 6.3640
## 100 0.554 0.266 6.3880
## 101 0.619 0.242 6.4120
## 102 0.598 0.220 6.4360
## 103 0.607 0.206 6.4600
## 104 0.598 0.191 6.4900
## 105 0.592 0.198 6.5200
## 106 0.593 0.191 6.5500
## 107 0.643 0.164 6.5800
## 108 0.764 0.422 6.5940
## 109 0.685 0.423 6.6300
## 110 0.544 0.514 6.6580
## 111 0.589 0.381 6.6860
## 112 0.768 0.306 6.7140
## 113 NA NA 6.7420
## 114 0.716 0.303 6.7700
## 115 0.787 0.283 6.8100
## 116 0.814 0.290 6.8500
## 117 0.762 0.317 6.9300
## 118 0.790 0.297 6.9700
## 119 0.600 0.321 5.9020
## 120 0.635 0.313 5.9440
## 121 0.725 0.232 5.9860
## 122 0.670 0.223 6.0280
## 123 0.629 0.292 6.0700
## 124 0.685 0.235 6.1120
## 125 0.714 0.183 6.1540
## 126 0.619 0.246 6.1960
## 127 NA 0.231 6.2380
## 128 0.635 0.226 6.2800
## 129 0.560 0.235 6.3300
## 130 0.569 0.214 6.3800
## 131 0.541 0.361 6.4300
## 132 0.537 0.369 6.4800
## 133 0.582 0.332 6.5300
## 134 0.605 0.269 6.1100
## 135 0.596 0.235 6.1400
## 136 NA 0.246 6.1700
## 137 0.566 0.223 6.2000
## 138 0.567 0.208 6.2300
## 139 0.521 0.249 6.2880
## 140 0.523 0.181 6.3460
## 141 0.609 0.206 6.4040
## 142 0.619 0.209 6.4620
## 143 0.584 0.184 6.5200
## 144 0.554 0.182 6.5500
## 145 0.541 0.233 6.5800
## 146 0.450 0.236 6.6100
## 147 0.591 0.190 6.6400
## 148 0.796 0.260 6.9900
## 149 0.813 0.218 7.0260
## 150 0.813 0.242 7.0440
## 151 0.828 0.240 7.0800
## 152 0.835 0.225 7.0920
## 153 0.820 0.238 7.1040
## 154 0.797 0.217 7.1160
## 155 0.798 0.252 7.1280
## 156 0.805 0.240 7.1400
## 157 0.765 0.260 7.1600
## 158 0.786 0.234 7.1800
## 159 0.750 0.250 7.2000
## 160 0.733 0.244 7.2200
## 161 0.647 0.260 7.2400
## 162 0.759 0.251 6.1600
## 163 0.755 0.282 6.2220
## 164 0.587 0.309 5.0100
## 165 0.584 0.303 5.0900
## 166 0.626 0.219 5.1980
## 167 0.583 0.231 5.2260
## 168 0.702 0.216 5.2540
## 169 0.590 0.273 5.2820
## 170 0.592 0.373 5.3100
## 171 0.608 0.456 5.3500
## 172 0.615 0.458 5.3900
## 173 0.647 0.468 5.4300
## 174 0.659 0.441 5.4700
## 175 0.609 0.305 5.5100
## 176 0.779 0.217 5.9600
## 177 0.859 0.324 5.9900
## 178 0.810 0.312 6.0200
## 179 0.739 0.432 5.9000
## 180 0.771 0.388 5.9500
## 181 0.781 0.392 6.0000
## 182 0.797 0.372 6.0500
## 183 0.766 0.350 6.1000
## 184 0.761 0.361 6.1340
## 185 0.782 0.409 6.1680
## 186 0.759 0.410 6.2020
## 187 0.809 0.398 6.2360
## 188 0.786 0.393 6.2700
## 189 0.783 0.376 6.3000
## 190 0.698 0.434 6.3300
## 191 0.742 0.387 6.3600
## 192 0.751 0.419 6.3900
## 193 0.790 0.382 6.4200
## 194 0.613 0.296 6.6040
## 195 0.572 0.390 6.6480
## 196 0.517 0.409 6.6700
## 197 0.596 0.326 6.6740
## 198 0.548 0.338 6.6780
## 199 0.544 0.315 6.6820
## 200 0.531 0.262 6.6860
## 201 0.534 0.286 6.6900
## 202 0.641 0.304 6.7200
## 203 0.597 0.271 6.7500
## 204 0.643 0.277 6.7800
## 205 0.633 0.238 6.8100
## 206 0.644 0.325 6.8400
## 207 0.688 0.226 4.6820
## 208 0.731 0.218 4.9860
## 209 0.690 0.172 5.2900
## 210 0.739 0.160 5.3680
## 211 0.773 0.171 5.4460
## 212 0.698 0.244 5.5240
## 213 0.674 0.245 5.6020
## 214 0.746 0.261 5.6800
## 215 0.686 0.252 5.7500
## 216 0.656 0.276 5.8200
## 217 0.730 0.267 5.8900
## 218 0.712 0.273 5.9600
## 219 0.818 0.302 6.3300
## 220 0.859 0.299 6.3780
## 221 0.820 0.265 6.4020
## 222 0.833 0.274 6.4260
## 223 0.817 0.250 6.4500
## 224 0.807 0.268 6.4760
## 225 0.755 0.350 6.5020
## 226 0.818 0.276 6.5280
## 227 0.788 0.274 6.5540
## 228 0.755 0.325 6.5800
## 229 0.763 0.302 6.6000
## 230 0.716 0.308 6.6200
## 231 0.750 0.350 6.6400
## 232 0.761 0.337 6.6600
## 233 0.692 0.389 6.6800
## 234 0.594 0.226 6.5100
## 235 0.546 0.238 6.5700
## 236 0.534 0.271 6.5800
## 237 0.573 0.237 6.5900
## 238 0.623 0.278 6.6000
## 239 0.628 0.236 6.6100
## 240 0.643 0.214 6.6200
## 241 0.622 0.172 6.6400
## 242 0.614 0.189 6.6600
## 243 0.639 0.189 6.6800
## 244 0.663 0.200 6.7000
## 245 0.706 0.221 6.7200
## 246 0.716 0.266 4.6660
## 247 0.651 0.281 4.7420
## 248 0.523 0.304 4.8180
## 249 0.590 0.217 4.9700
## 250 0.579 0.205 5.0240
## 251 0.545 0.300 5.0780
## 252 0.630 0.287 5.1320
## 253 0.614 0.256 5.1860
## 254 0.579 0.359 5.2400
## 255 0.616 0.337 5.2900
## 256 0.585 0.354 5.3400
## 257 0.711 0.343 5.3900
## 258 0.691 0.365 5.4400
## 259 0.440 0.253 4.9020
## 260 0.641 0.164 4.9660
## 261 0.689 0.190 5.0680
## 262 0.656 0.251 5.1820
## 263 0.666 0.363 5.3400
## 264 0.719 0.341 5.5300
## 265 NA 0.320 5.6100
## 266 0.739 0.335 5.6900
## 267 0.796 0.188 5.7700
## 268 0.774 0.422 5.8500
## 269 0.799 0.308 5.8880
## 270 0.820 0.352 5.9260
## 271 0.792 0.440 5.9640
## 272 0.783 0.482 6.0020
## 273 0.813 0.399 6.0400
## 274 0.839 0.398 6.0800
## 275 0.799 0.408 6.1200
## 276 0.845 0.414 6.1600
## 277 0.844 0.390 6.2000
## 278 0.878 0.390 6.2400
## 279 0.606 0.271 4.5980
## 280 0.635 0.249 4.6560
## 281 0.600 0.312 4.7140
## 282 0.593 0.250 4.7720
## 283 0.606 0.274 4.8300
## 284 0.598 0.272 4.8700
## 285 0.618 0.284 4.9100
## 286 0.681 0.268 4.9500
## 287 0.623 0.216 4.9900
## 288 0.651 0.346 5.0300
## 289 0.662 0.367 5.1100
## 290 0.632 0.377 5.1900
## 291 0.642 0.356 5.2700
## 292 0.629 0.326 5.3500
## 293 0.630 0.386 5.4300
## 294 0.839 0.233 7.1300
## 295 0.872 0.257 7.1660
## 296 0.890 0.202 7.1840
## 297 0.867 0.248 7.2020
## 298 0.879 0.233 7.2200
## 299 0.881 0.248 7.2360
## 300 0.857 0.229 7.2520
## 301 0.851 0.263 7.2680
## 302 0.833 0.259 7.2840
## 303 0.845 0.286 7.3000
## 304 0.825 0.237 7.3200
## 305 0.863 0.218 7.3400
## 306 0.824 0.259 7.3600
## 307 0.822 0.285 7.3800
## 308 0.796 0.307 7.4000
## 309 0.568 0.330 4.0900
## 310 0.523 0.257 4.2700
## 311 0.524 0.277 4.3080
## 312 0.579 0.494 4.4900
## 313 0.614 0.599 4.5200
## 314 0.580 0.263 4.3180
## 315 0.614 0.245 4.3660
## 316 0.569 0.225 4.4140
## 317 0.557 0.221 4.4620
## 318 0.545 0.287 4.5100
## 319 0.591 0.289 4.5420
## 320 0.527 0.316 4.5740
## 321 0.462 0.314 4.6060
## 322 0.536 0.329 4.6380
## 323 0.607 0.358 4.6700
## 324 0.582 0.468 4.7200
## 325 0.628 0.538 4.7700
## 326 0.553 0.544 4.8200
## 327 0.587 0.460 4.8700
## 328 0.804 0.348 6.8660
## 329 0.767 0.342 6.8720
## 330 0.757 0.330 6.8780
## 331 0.808 0.300 6.8840
## 332 0.809 0.300 6.8900
## 333 0.804 0.317 6.9040
## 334 0.815 0.288 6.9180
## 335 0.855 0.285 6.9320
## 336 0.870 0.276 6.9460
## 337 0.803 0.333 6.9600
## 338 0.869 0.283 6.9700
## 339 0.838 0.291 6.9800
## 340 0.833 0.276 6.9900
## 341 0.809 0.337 7.0000
## 342 0.815 0.336 7.0100
## 343 0.809 0.170 6.6880
## 344 0.817 0.159 6.7060
## 345 0.817 0.147 6.7240
## 346 0.786 0.162 6.7420
## 347 0.765 0.158 6.7600
## 348 0.820 0.134 6.7760
## 349 0.821 0.159 6.7920
## 350 0.836 0.142 6.8080
## 351 0.854 0.112 6.8240
## 352 0.809 0.171 6.8400
## 353 0.826 0.146 6.8700
## 354 0.821 0.214 6.9000
## 355 0.856 0.190 6.9300
## 356 0.891 0.147 6.9600
## 357 0.789 0.245 6.9900
## 358 0.800 0.326 6.5220
## 359 0.808 0.287 6.5340
## 360 0.803 0.307 6.5460
## 361 0.843 0.273 6.5580
## 362 0.831 0.265 6.5700
## 363 0.832 0.286 6.5920
## 364 0.846 0.294 6.6140
## 365 0.851 0.278 6.6360
## 366 0.847 0.278 6.6580
## 367 0.839 0.292 6.6800
## 368 0.794 0.294 6.7100
## 369 0.837 0.299 6.7400
## 370 0.825 0.301 6.7700
## 371 0.822 0.322 6.8000
## 372 0.795 0.340 6.8300
## 373 0.672 0.167 5.4360
## 374 0.728 0.178 5.4700
## 375 0.667 0.173 5.5020
## 376 0.612 0.212 5.5340
## 377 0.748 0.337 5.7200
## 378 0.736 0.336 5.7500
## 379 0.573 0.298 5.2200
## 380 0.621 0.288 5.4580
## 381 0.564 0.323 5.4960
## 382 0.610 0.291 5.5340
## 383 0.595 0.400 5.5720
## 384 0.606 0.261 5.6100
## 385 0.610 0.304 5.6700
## 386 0.599 0.382 5.7300
## 387 0.588 0.448 5.7900
## 388 0.645 0.405 5.8500
## 389 0.491 0.283 4.9340
## 390 0.617 0.208 5.0340
## 391 0.634 0.230 5.0780
## 392 0.589 0.187 5.1220
## 393 0.559 0.305 5.1660
## 394 0.589 0.301 5.2100
## 395 0.646 0.222 5.2500
## 396 0.551 0.404 5.2900
## 397 0.868 0.236 6.9940
## 398 0.875 0.240 6.9880
## 399 0.844 0.233 6.9820
## 400 0.876 0.217 6.9760
## 401 0.886 0.221 6.9700
## 402 0.876 0.269 6.9900
## 403 0.897 0.263 7.0100
## 404 0.850 0.278 7.0300
## 405 0.837 0.290 7.0500
## 406 0.850 0.286 7.0700
## 407 0.874 0.281 7.0900
## 408 0.874 0.275 7.1100
## 409 0.870 0.326 7.1300
## 410 0.848 0.303 7.1500
## 411 0.586 0.337 6.7120
## 412 0.637 0.272 6.7640
## 413 0.607 0.259 6.7900
## 414 0.598 0.273 6.8000
## 415 0.622 0.271 6.8100
## 416 0.590 0.285 6.8200
## 417 0.596 0.286 6.8300
## 418 0.609 0.294 6.8400
## 419 0.614 0.337 6.9000
## 420 0.655 0.316 6.9600
## 421 0.582 0.290 7.0200
## 422 0.551 0.269 7.0800
## 423 0.743 0.286 7.1400
## 424 0.647 0.277 6.8440
## 425 0.829 0.253 7.1440
## 426 0.746 0.329 7.2160
## 427 0.786 0.296 7.2400
## 428 0.763 0.272 7.2540
## 429 0.755 0.369 7.2680
## 430 0.748 0.420 7.2820
## 431 0.737 0.397 7.2960
## 432 0.747 0.383 7.3100
## 433 0.742 0.336 7.3300
## 434 0.784 0.301 7.3500
## 435 0.750 0.298 7.3700
## 436 0.763 0.290 7.3900
## 437 0.759 0.284 7.4100
## 438 0.723 0.258 6.7000
## 439 0.736 0.277 6.7440
## 440 0.641 0.244 6.8100
## 441 0.601 0.253 6.8240
## 442 0.609 0.257 6.8380
## 443 0.720 0.253 6.8520
## 444 0.678 0.235 6.8660
## 445 0.751 0.206 6.8800
## 446 0.756 0.201 6.9300
## 447 0.739 0.227 6.9800
## 448 0.714 0.178 7.0300
## 449 0.832 0.290 7.1300
## 450 0.860 0.154 6.9600
## 451 0.828 0.194 6.9920
## 452 0.757 0.163 7.0080
## 453 0.749 0.234 7.0240
## 454 0.785 0.155 7.0400
## 455 0.769 0.175 7.0620
## 456 0.774 0.209 7.0840
## 457 0.862 0.195 7.1060
## 458 0.832 0.233 7.1280
## 459 0.829 0.218 7.1500
## 460 0.836 0.208 7.1800
## 461 0.824 0.206 7.2100
## 462 0.821 0.206 7.2400
## 463 0.862 0.181 7.2700
## 464 0.818 0.227 7.3000
## 465 0.755 0.120 5.3260
## 466 0.662 0.232 5.3780
## 467 NA NA 5.4300
## 468 0.579 0.181 5.4700
## 469 0.748 0.274 6.2680
## 470 0.767 0.260 6.2960
## 471 0.732 0.329 6.3240
## 472 0.785 0.280 6.3520
## 473 0.787 0.282 6.3800
## 474 0.809 0.300 6.4020
## 475 0.797 0.297 6.4240
## 476 0.793 0.295 6.4460
## 477 0.798 0.300 6.4680
## 478 0.714 0.295 6.4900
## 479 0.760 0.278 6.5200
## 480 0.739 0.275 6.5500
## 481 0.745 0.291 6.5800
## 482 0.784 0.264 6.6100
## 483 0.734 0.314 6.6400
## 484 0.825 0.357 6.6080
## 485 0.833 0.286 6.6260
## 486 0.843 0.283 6.6440
## 487 0.840 0.256 6.6620
## 488 0.826 0.220 6.6800
## 489 0.862 0.271 6.6960
## 490 0.847 0.333 6.7120
## 491 0.851 0.267 6.7280
## 492 0.859 0.306 6.7440
## 493 0.851 0.323 6.7600
## 494 0.846 0.365 6.7900
## 495 0.829 0.314 6.8200
## 496 0.876 0.328 6.8500
## 497 0.811 0.374 6.8800
## 498 0.790 0.416 6.9100
## 499 0.735 0.346 5.9700
## 500 0.665 0.355 5.9820
## 501 0.683 0.301 5.9880
## 502 0.642 0.339 5.9940
## 503 0.567 0.276 6.0000
## 504 0.529 0.353 6.0160
## 505 0.527 0.398 6.0320
## 506 0.551 0.483 6.0480
## 507 0.543 0.327 6.0640
## 508 0.610 0.344 6.0800
## 509 0.611 0.370 6.1100
## 510 0.539 0.414 6.1400
## 511 0.492 0.285 6.1700
## 512 0.517 0.313 6.2000
## 513 0.599 0.442 6.2300
## 514 0.864 0.233 6.2920
## 515 0.869 0.220 6.3240
## 516 0.842 0.232 6.3560
## 517 0.850 0.243 6.3880
## 518 0.814 0.302 6.4200
## 519 0.875 0.336 6.4400
## 520 0.831 0.365 6.4600
## 521 0.828 0.317 6.4800
## 522 0.837 0.330 6.5000
## 523 0.826 0.333 6.5200
## 524 0.761 0.346 6.5500
## 525 0.849 0.268 6.5800
## 526 0.860 0.270 6.6100
## 527 0.871 0.271 6.6400
## 528 0.839 0.329 6.6700
## 529 0.655 0.215 6.4860
## 530 0.666 0.176 6.5320
## 531 0.597 0.218 6.5780
## 532 0.598 0.243 6.6240
## 533 0.651 0.205 6.6960
## 534 0.647 0.199 6.7220
## 535 0.702 0.199 6.7480
## 536 0.680 0.203 6.7740
## 537 0.723 0.183 6.8000
## 538 0.726 0.177 6.8200
## 539 0.805 0.160 6.8400
## 540 0.795 0.163 6.8600
## 541 0.804 0.156 6.8800
## 542 0.807 0.188 6.9000
## 543 0.668 0.137 5.5200
## 544 0.643 0.213 5.5800
## 545 0.738 0.303 5.6400
## 546 0.714 0.237 5.7000
## 547 0.727 0.254 5.7500
## 548 0.609 0.304 5.8000
## 549 0.660 0.272 5.8500
## 550 0.631 0.283 5.9000
## 551 0.669 0.252 5.9500
## 552 0.722 0.172 6.9760
## 553 0.773 0.144 7.0080
## 554 0.832 0.202 7.0400
## 555 0.773 0.205 7.0640
## 556 0.796 0.202 7.0880
## 557 0.769 0.195 7.1120
## 558 0.784 0.199 7.1360
## 559 0.751 0.191 7.1600
## 560 0.797 0.182 7.1700
## 561 0.787 0.176 7.1800
## 562 0.782 0.182 7.1900
## 563 0.755 0.181 7.2000
## 564 0.744 0.193 7.2100
## 565 0.769 0.225 7.1300
## 566 0.777 0.289 7.1480
## 567 0.746 0.281 7.1840
## 568 0.763 0.303 7.2020
## 569 0.790 0.261 7.2200
## 570 0.781 0.281 7.2400
## 571 0.754 0.253 7.2600
## 572 0.800 0.205 7.2800
## 573 0.811 0.216 7.3000
## 574 0.786 0.215 7.3200
## 575 0.773 0.270 7.3400
## 576 0.762 0.242 7.3600
## 577 0.767 0.282 7.3800
## 578 0.735 0.250 7.4000
## 579 0.732 0.231 7.4200
## 580 0.591 0.264 5.5480
## 581 0.470 0.266 5.6160
## 582 0.510 0.287 5.6840
## 583 0.539 0.293 5.7520
## 584 0.626 0.372 5.8200
## 585 0.640 0.432 5.8700
## 586 0.634 0.446 5.9200
## 587 0.641 0.418 5.9700
## 588 0.693 0.413 6.0200
## 589 0.838 0.277 5.4700
## 590 0.804 0.379 5.5000
## 591 0.773 0.401 5.5300
## 592 0.433 0.269 6.5120
## 593 0.427 0.236 6.5040
## 594 0.441 0.262 6.4960
## 595 0.492 0.242 6.4880
## 596 0.502 0.243 6.4800
## 597 0.515 0.247 6.4860
## 598 0.559 0.250 6.4920
## 599 0.595 0.200 6.4980
## 600 0.570 0.204 6.5040
## 601 0.547 0.233 6.5100
## 602 0.564 0.223 6.4900
## 603 0.581 0.210 6.4700
## 604 0.573 0.244 6.4500
## 605 0.604 0.244 6.4300
## 606 0.611 0.295 6.4100
## 607 0.776 0.197 7.0200
## 608 0.732 0.231 7.0480
## 609 0.787 0.220 7.0620
## 610 0.792 0.206 7.0760
## 611 0.794 0.182 7.0900
## 612 0.794 0.165 7.0980
## 613 0.804 0.170 7.1060
## 614 0.743 0.205 7.1140
## 615 0.785 0.188 7.1220
## 616 0.765 0.203 7.1300
## 617 0.738 0.187 7.1600
## 618 0.737 0.196 7.1900
## 619 0.780 0.243 7.2200
## 620 0.751 0.226 7.2500
## 621 0.760 0.206 7.2800
## 622 0.671 0.198 5.2340
## 623 0.686 0.217 5.2780
## 624 0.717 0.172 5.3220
## 625 0.774 0.198 5.3660
## 626 0.783 0.184 5.4100
## 627 0.744 0.209 5.4480
## 628 0.760 0.152 5.4860
## 629 0.691 0.211 5.5240
## 630 0.696 0.280 5.5620
## 631 0.690 0.265 5.6000
## 632 0.668 0.305 5.6400
## 633 0.703 0.248 5.6800
## 634 0.747 0.250 5.7200
## 635 0.682 0.270 5.7600
## 636 0.713 0.253 5.8000
## 637 0.692 0.264 7.0500
## 638 0.738 0.222 7.0900
## 639 0.649 0.254 7.1300
## 640 0.634 0.292 7.1500
## 641 0.591 0.323 7.1560
## 642 0.581 0.352 7.1620
## 643 0.689 0.482 7.1680
## 644 0.695 0.385 7.1740
## 645 0.740 0.277 7.1800
## 646 0.701 0.336 7.2000
## 647 0.603 0.333 7.2200
## 648 0.666 0.255 7.2400
## 649 0.668 0.236 7.2600
## 650 0.684 0.322 7.2800
## 651 0.818 0.287 6.0740
## 652 0.819 0.224 6.1080
## 653 0.834 0.234 6.1420
## 654 0.829 0.240 6.1760
## 655 0.850 0.236 6.2100
## 656 0.844 0.289 6.2460
## 657 0.863 0.349 6.2820
## 658 0.867 0.333 6.3180
## 659 0.835 0.305 6.3540
## 660 0.851 0.311 6.3900
## 661 0.846 0.321 6.4200
## 662 0.846 0.308 6.4500
## 663 0.871 0.262 6.4800
## 664 0.859 0.311 6.5100
## 665 0.701 0.260 5.0220
## 666 0.677 0.285 5.0440
## 667 0.600 0.348 5.0660
## 668 0.629 0.351 5.0880
## 669 0.667 0.268 5.1100
## 670 0.687 0.374 5.2200
## 671 0.704 0.422 5.3300
## 672 0.744 0.440 5.4400
## 673 0.685 0.473 5.5500
## 674 0.768 0.296 5.7260
## 675 0.613 0.332 4.8460
## 676 0.608 0.256 4.0380
## 677 0.555 0.293 3.2300
## 678 0.625 0.245 3.6860
## 679 0.593 0.284 4.1420
## 680 0.538 0.327 4.5980
## 681 0.593 0.327 5.0540
## 682 0.619 0.333 5.5100
## 683 0.553 0.367 5.5300
## 684 0.573 0.322 5.5500
## 685 0.584 0.359 5.5700
## 686 0.858 0.155 6.4540
## 687 0.759 0.199 6.4780
## 688 0.789 0.206 6.5020
## 689 0.803 0.261 6.5260
## 690 0.797 0.260 6.5500
## 691 0.816 0.307 6.5720
## 692 0.847 0.294 6.5940
## 693 0.817 0.283 6.6160
## 694 0.820 0.299 6.6380
## 695 0.863 0.311 6.6600
## 696 0.832 0.297 6.6800
## 697 0.842 0.248 6.7000
## 698 0.872 0.287 6.7200
## 699 0.850 0.279 6.7400
## 700 0.723 0.236 NA
## 701 0.719 0.237 NA
## 702 0.762 0.210 NA
## 703 0.710 0.183 NA
## 704 0.734 0.196 NA
## 705 0.715 0.183 NA
## 706 0.684 0.243 NA
## 707 0.664 0.213 NA
## 708 0.640 0.201 NA
## 709 0.599 0.358 NA
## 710 0.609 0.210 NA
## 711 0.675 0.290 6.4600
## 712 0.701 0.230 6.5000
## 713 0.664 0.228 6.5400
## 714 0.656 0.235 6.5600
## 715 0.642 0.305 6.5760
## 716 0.652 0.315 6.5920
## 717 0.706 0.307 6.6080
## 718 0.651 0.238 6.6240
## 719 0.707 0.245 6.6400
## 720 0.666 0.243 6.6800
## 721 0.735 0.181 6.7200
## 722 0.676 0.201 6.7600
## 723 0.743 0.180 6.8000
## 724 0.735 0.240 6.8400
## 725 0.880 0.153 7.2320
## 726 0.900 0.157 7.2760
## 727 0.870 0.156 7.2840
## 728 0.849 0.180 7.3000
## 729 0.874 0.158 7.3000
## 730 0.895 0.148 7.3000
## 731 0.836 0.178 7.3000
## 732 0.863 0.172 7.3000
## 733 0.687 0.199 5.5720
## 734 0.668 0.253 5.6140
## 735 0.674 0.259 5.6560
## 736 0.771 0.301 5.6980
## 737 0.697 0.267 5.7400
## 738 0.648 0.232 5.7700
## 739 0.629 0.295 5.8000
## 740 0.680 0.330 5.8300
## 741 0.711 0.285 5.8600
## 742 0.701 0.322 5.8900
## 743 0.695 0.346 5.9300
## 744 0.682 0.318 5.9700
## 745 0.657 0.357 6.0100
## 746 0.648 0.466 6.0500
## 747 0.752 0.383 6.0900
## 748 0.825 0.266 5.9840
## 749 0.812 0.242 5.9980
## 750 0.774 0.239 6.0120
## 751 0.865 0.193 6.0260
## 752 0.837 0.218 6.0400
## 753 0.864 0.273 6.0620
## 754 0.897 0.229 6.0840
## 755 0.893 0.249 6.1060
## 756 0.852 0.242 6.1280
## 757 0.876 0.274 6.1500
## 758 0.833 0.342 6.1700
## 759 0.863 0.319 6.1900
## 760 0.864 0.296 6.2100
## 761 0.877 0.302 6.2300
## 762 0.608 0.456 6.2000
## 763 0.626 0.361 6.2760
## 764 0.624 0.345 6.3140
## 765 0.578 0.359 6.4140
## 766 0.609 0.525 6.4380
## 767 0.659 0.552 6.4620
## 768 0.618 0.512 6.4860
## 769 0.645 0.520 6.5100
## 770 0.687 0.526 6.5400
## 771 0.694 0.439 6.5700
## 772 0.553 0.493 6.6000
## 773 0.600 0.449 6.6300
## 774 0.582 0.470 6.6600
## 775 0.525 0.448 5.8320
## 776 0.523 0.404 5.8960
## 777 0.542 0.431 5.9600
## 778 0.488 0.557 5.9360
## 779 0.423 0.449 5.9120
## 780 NA 0.554 5.8880
## 781 0.574 0.564 5.8640
## 782 0.490 0.581 5.8400
## 783 0.489 0.570 5.9000
## 784 0.505 0.591 5.9600
## 785 0.605 0.482 6.0200
## 786 0.644 0.532 6.1400
## 787 0.878 0.209 7.0140
## 788 0.875 0.148 7.0820
## 789 0.862 0.233 7.1160
## 790 0.876 0.201 7.1500
## 791 0.865 0.190 7.1600
## 792 0.835 0.237 7.1700
## 793 0.814 0.245 7.1800
## 794 0.784 0.229 7.1900
## 795 0.799 0.225 7.2000
## 796 0.809 0.211 7.2100
## 797 0.833 0.213 7.2200
## 798 0.811 0.213 7.2300
## 799 0.807 0.223 7.2400
## 800 0.797 0.246 7.2500
## 801 0.696 0.308 7.1120
## 802 0.696 0.320 7.1440
## 803 0.710 0.349 7.1760
## 804 0.695 0.327 7.2080
## 805 0.679 0.362 7.2400
## 806 0.738 0.384 7.2460
## 807 0.665 0.319 7.2520
## 808 0.698 0.409 7.2580
## 809 0.604 0.271 7.2640
## 810 0.697 0.256 7.2700
## 811 0.629 0.263 7.2900
## 812 0.674 0.276 7.3100
## 813 0.663 0.282 7.3300
## 814 0.635 0.266 7.3500
## 815 0.621 0.243 7.3700
## 816 0.679 0.295 7.1900
## 817 0.716 0.303 7.2260
## 818 0.637 0.268 7.2440
## 819 0.775 0.279 7.2620
## 820 0.596 0.236 7.2800
## 821 0.658 0.266 7.2840
## 822 0.670 0.388 7.2880
## 823 0.779 0.357 7.2920
## 824 0.716 0.356 7.2960
## 825 0.692 0.329 7.3000
## 826 0.685 0.339 7.3200
## 827 0.661 0.323 7.3400
## 828 0.649 0.403 7.3600
## 829 0.631 0.328 7.3800
## 830 0.670 0.311 7.4000
## 831 0.604 0.186 4.5780
## 832 0.743 0.306 4.7100
## 833 0.647 0.291 4.7400
## 834 0.664 0.347 4.7700
## 835 0.704 0.378 4.8300
## 836 0.698 0.357 4.8900
## 837 0.682 0.386 4.9500
## 838 0.674 0.425 5.0100
## 839 0.693 0.340 5.0700
## 840 0.788 0.201 6.4900
## 841 0.836 0.237 6.6220
## 842 0.734 0.312 6.6460
## 843 0.737 0.310 6.6580
## 844 0.769 0.243 6.7100
## 845 0.752 0.195 6.7500
## 846 0.739 0.153 7.3200
## 847 0.731 0.207 7.3440
## 848 0.780 0.191 7.3560
## 849 0.785 0.169 7.3680
## 850 0.827 0.188 7.3800
## 851 0.776 0.181 7.3980
## 852 0.777 0.171 7.4160
## 853 0.794 0.175 7.4340
## 854 0.742 0.189 7.4520
## 855 0.768 0.176 7.4700
## 856 0.760 0.192 7.4800
## 857 0.740 0.176 7.4900
## 858 0.703 0.185 7.5000
## 859 0.743 0.194 7.5100
## 860 0.742 0.186 7.5200
## 861 0.696 0.240 6.3500
## 862 0.683 0.240 6.3980
## 863 0.669 0.331 6.4220
## 864 0.645 0.265 6.4460
## 865 0.643 0.343 6.4700
## 866 0.612 0.260 6.5000
## 867 0.565 0.345 6.5300
## 868 0.684 0.286 6.5600
## 869 0.660 0.313 6.5900
## 870 0.690 0.305 6.6200
## 871 0.641 0.312 6.6400
## 872 0.628 0.392 6.6600
## 873 NA NA 6.6800
## 874 NA NA 6.7000
## 875 NA NA 6.7200
## 876 0.669 0.185 5.8200
## 877 0.651 0.179 5.8700
## 878 0.675 0.160 5.9200
## 879 0.679 0.129 5.9700
## 880 0.692 0.149 6.0200
## 881 0.695 0.154 6.0720
## 882 0.740 0.184 6.1240
## 883 0.674 0.164 6.1760
## 884 0.718 0.169 6.2280
## 885 0.730 0.174 6.2800
## 886 0.702 0.155 6.3400
## 887 0.757 0.171 6.4000
## 888 0.693 0.162 6.4600
## 889 0.787 0.139 6.5200
## 890 0.684 0.150 6.5800
## 891 0.705 0.198 5.0220
## 892 0.725 0.162 5.1540
## 893 0.772 0.149 5.2860
## 894 0.772 0.183 5.4180
## 895 0.819 0.123 5.5500
## 896 0.760 0.228 5.6060
## 897 0.707 0.194 5.6620
## 898 0.765 0.161 5.7180
## 899 0.814 0.221 5.7740
## 900 0.702 0.172 5.8300
## 901 0.743 0.226 5.8900
## 902 0.788 0.230 5.9500
## 903 0.759 0.237 6.0100
## 904 0.751 0.251 6.0700
## 905 0.733 0.297 6.1300
## 906 0.655 0.237 NA
## 907 NA 0.318 NA
## 908 0.598 0.169 NA
## 909 0.695 0.118 NA
## 910 0.696 0.124 NA
## 911 0.596 0.100 NA
## 912 0.692 0.203 NA
## 913 0.636 0.206 NA
## 914 0.753 0.180 NA
## 915 0.704 0.150 NA
## 916 0.738 0.186 NA
## 917 0.778 0.170 NA
## 918 0.749 0.141 NA
## 919 0.726 0.201 NA
## 920 0.846 0.182 6.3960
## 921 0.718 0.252 6.4440
## 922 0.718 0.203 6.4600
## 923 0.793 0.177 6.4900
## 924 0.821 0.095 6.5200
## 925 0.752 0.283 6.5500
## 926 NA NA 6.5800
## 927 0.723 0.324 6.6100
## 928 0.688 0.315 6.6300
## 929 0.692 0.307 6.6500
## 930 0.695 0.303 6.6900
## 931 0.655 0.159 5.9980
## 932 0.655 0.130 6.0260
## 933 0.623 0.147 6.0540
## 934 0.607 0.165 6.0820
## 935 0.650 0.123 6.1100
## 936 0.681 0.151 6.1520
## 937 0.691 0.182 6.1940
## 938 0.722 0.135 6.2360
## 939 0.725 0.185 6.2780
## 940 0.767 0.173 6.3200
## 941 0.778 0.126 6.3500
## 942 0.755 0.160 6.3800
## 943 0.763 0.203 6.4100
## 944 0.766 0.207 6.4400
## 945 0.803 0.258 6.4700
## 946 0.886 0.163 5.3920
## 947 0.861 0.136 5.4440
## 948 0.829 0.202 5.4960
## 949 0.900 0.225 5.6300
## 950 0.917 0.387 5.6600
## 951 0.873 0.344 5.8300
## 952 0.852 0.332 5.8700
## 953 0.878 0.306 5.9100
## 954 0.822 0.358 5.9500
## 955 0.654 0.234 6.3160
## 956 0.673 0.247 6.3520
## 957 0.639 0.215 6.3880
## 958 0.525 0.242 6.4240
## 959 0.563 0.222 6.4860
## 960 0.560 0.232 6.5120
## 961 0.642 0.227 6.5380
## 962 0.652 0.226 6.5640
## 963 0.608 0.228 6.5900
## 964 0.654 0.231 6.6200
## 965 0.623 0.232 6.6500
## 966 0.585 0.192 6.6800
## 967 0.575 0.212 6.7100
## 968 0.714 0.202 6.7400
## 969 0.584 0.292 6.4600
## 970 0.548 0.320 6.4720
## 971 0.527 0.365 6.4960
## 972 0.528 0.401 6.5080
## 973 0.525 0.341 6.5200
## 974 0.578 0.320 6.5280
## 975 0.499 0.339 6.5360
## 976 0.499 0.409 6.5440
## 977 0.559 0.267 6.5520
## 978 0.568 0.243 6.5600
## 979 0.553 0.263 6.6100
## 980 0.515 0.244 6.6600
## 981 0.464 0.271 6.7100
## 982 0.322 0.494 6.7600
## 983 0.793 0.170 4.5740
## 984 0.732 0.270 4.6600
## 985 0.746 0.255 4.7300
## 986 0.735 0.273 4.8700
## 987 0.613 0.435 4.9140
## 988 0.585 0.261 4.9960
## 989 0.595 0.217 5.1600
## 990 0.543 0.443 5.3280
## 991 0.505 0.388 5.3700
## 992 0.636 0.509 5.4500
## 993 0.668 0.391 5.5300
## 994 0.660 0.436 5.6100
## 995 0.636 0.389 5.6900
## 996 0.695 0.316 6.2660
## 997 0.704 0.369 6.2300
## 998 0.718 0.383 6.2300
## 999 0.697 0.379 6.2300
## 1000 0.706 0.399 6.2300
## 1001 0.709 0.401 6.2300
## 1002 0.621 0.254 6.3140
## 1003 0.589 0.279 6.3480
## 1004 0.533 0.276 6.3820
## 1005 0.526 0.271 6.4160
## 1006 0.473 0.272 6.4500
## 1007 0.570 0.275 6.4700
## 1008 0.581 0.277 6.4900
## 1009 0.581 0.294 6.5100
## 1010 0.619 0.287 6.5300
## 1011 0.595 0.276 6.5500
## 1012 0.594 0.250 6.6100
## 1013 0.608 0.195 6.6700
## 1014 0.517 0.214 6.7300
## 1015 0.566 0.276 6.7900
## 1016 0.660 0.202 6.8500
## 1017 0.799 0.238 7.1440
## 1018 0.809 0.216 7.1700
## 1019 0.836 0.200 7.1880
## 1020 0.815 0.227 7.2060
## 1021 0.640 0.185 7.2240
## 1022 0.803 0.170 7.2420
## 1023 0.757 0.193 7.2600
## 1024 0.758 0.192 7.2600
## 1025 0.766 0.184 7.2600
## 1026 0.750 0.202 7.2600
## 1027 0.789 0.212 7.2600
## 1028 0.702 0.161 5.4040
## 1029 0.614 0.215 5.4920
## 1030 0.510 0.235 5.6220
## 1031 0.690 0.194 5.6640
## 1032 0.734 0.241 5.7060
## 1033 0.748 0.192 5.7480
## 1034 0.802 0.226 5.7900
## 1035 0.813 0.204 5.8300
## 1036 0.752 0.375 5.8700
## 1037 0.752 0.362 5.9100
## 1038 0.723 0.304 5.9500
## 1039 0.670 0.222 4.4880
## 1040 0.727 0.176 4.6260
## 1041 0.765 0.130 4.9020
## 1042 0.713 0.268 5.1420
## 1043 0.816 0.200 5.2440
## 1044 0.808 0.248 5.3460
## 1045 0.704 0.263 5.4480
## 1046 0.633 0.260 5.5500
## 1047 0.603 0.325 5.6200
## 1048 0.609 0.312 5.6900
## 1049 0.586 0.365 5.7600
## 1050 0.537 0.348 5.8300
## 1051 0.750 0.243 6.4960
## 1052 0.775 0.162 6.5120
## 1053 0.815 0.186 6.5280
## 1054 0.822 0.164 6.5440
## 1055 0.832 0.192 6.5600
## 1056 0.887 0.155 6.5760
## 1057 0.867 0.177 6.5920
## 1058 0.736 0.317 6.6080
## 1059 0.770 0.261 6.6240
## 1060 0.775 0.314 6.6400
## 1061 0.824 0.200 6.7000
## 1062 0.834 0.176 6.7200
## 1063 NA NA 7.0600
## 1064 0.767 0.209 4.5920
## 1065 0.682 0.164 4.7160
## 1066 0.760 0.150 4.7780
## 1067 0.797 0.162 4.8400
## 1068 0.758 0.132 4.8760
## 1069 0.681 0.109 4.9120
## 1070 0.724 0.193 4.9480
## 1071 0.741 0.186 4.9840
## 1072 0.709 0.243 5.0200
## 1073 0.807 0.305 5.0700
## 1074 0.742 0.393 5.1200
## 1075 0.770 0.370 5.1700
## 1076 0.712 0.358 5.2200
## 1077 0.715 0.358 7.1380
## 1078 0.697 0.375 7.1600
## 1079 0.736 0.340 7.1720
## 1080 0.744 0.391 7.1840
## 1081 0.660 0.370 7.1960
## 1082 0.652 0.352 7.2080
## 1083 0.680 0.355 7.2200
## 1084 0.687 0.355 7.2200
## 1085 0.721 0.302 7.2200
## 1086 0.721 0.296 7.2200
## 1087 0.707 0.356 7.2200
## 1088 0.601 0.411 7.2200
## 1089 0.733 0.174 5.3660
## 1090 0.732 0.176 5.3940
## 1091 0.738 0.170 5.4220
## 1092 0.778 0.129 5.4500
## 1093 0.762 0.175 5.4820
## 1094 0.782 0.164 5.5140
## 1095 0.793 0.196 5.5460
## 1096 0.755 0.163 5.5780
## 1097 0.820 0.194 5.6100
## 1098 0.735 0.222 5.6400
## 1099 0.637 0.272 5.6700
## 1100 0.663 0.276 5.7000
## 1101 0.692 0.260 5.7300
## 1102 0.738 0.253 6.4700
## 1103 0.808 0.222 6.5300
## 1104 0.785 0.246 6.5800
## 1105 0.748 0.169 6.6100
## 1106 0.774 0.158 6.6400
## 1107 0.808 0.149 6.6700
## 1108 0.767 0.138 6.7000
## 1109 0.820 0.219 6.6200
## 1110 0.816 0.248 6.6320
## 1111 0.825 0.201 6.6380
## 1112 0.849 0.196 6.6440
## 1113 0.840 0.215 6.6500
## 1114 0.790 0.228 6.6680
## 1115 0.784 0.278 6.6860
## 1116 0.790 0.223 6.7040
## 1117 0.802 0.229 6.7220
## 1118 0.745 0.237 6.7400
## 1119 0.859 0.220 6.7700
## 1120 0.843 0.231 6.8000
## 1121 0.882 0.213 6.8300
## 1122 0.864 0.252 6.8600
## 1123 0.810 0.292 6.8900
## 1124 0.619 0.255 6.0580
## 1125 0.571 0.306 6.0760
## 1126 0.584 0.284 6.0940
## 1127 0.562 0.306 6.1120
## 1128 0.584 0.278 6.1300
## 1129 0.568 0.285 6.1620
## 1130 0.568 0.314 6.1940
## 1131 0.582 0.261 6.2260
## 1132 0.583 0.260 6.2580
## 1133 0.590 0.281 6.2900
## 1134 0.621 0.275 6.3600
## 1135 0.581 0.259 6.4300
## 1136 0.582 0.270 6.5000
## 1137 0.631 0.262 6.5700
## 1138 0.727 0.268 6.6400
## 1139 0.571 0.203 5.8820
## 1140 0.586 0.173 5.9280
## 1141 0.712 0.150 6.0200
## 1142 0.692 0.153 6.0500
## 1143 0.689 0.181 6.0800
## 1144 0.649 0.179 6.1100
## 1145 0.627 0.170 6.1400
## 1146 0.653 0.208 6.1700
## 1147 0.694 0.171 6.1900
## 1148 0.675 0.214 6.2100
## 1149 0.654 0.192 6.2300
## 1150 0.707 0.167 6.2500
## 1151 0.636 0.260 6.2700
## 1152 0.579 0.340 6.6200
## 1153 0.623 0.423 6.6800
## 1154 0.595 0.410 6.7100
## 1155 0.603 0.378 6.7260
## 1156 0.574 0.379 6.7420
## 1157 0.539 0.331 6.7580
## 1158 0.587 0.368 6.7740
## 1159 0.580 0.337 6.7900
## 1160 0.591 0.337 6.8100
## 1161 0.519 0.350 6.8300
## 1162 0.590 0.355 6.8500
## 1163 0.591 0.366 6.8700
## 1164 0.603 0.411 6.8900
## 1165 NA NA 6.3500
## 1166 0.736 0.187 6.3800
## 1167 0.687 0.281 6.4100
## 1168 0.784 0.239 6.4400
## 1169 0.661 0.262 6.5000
## 1170 0.713 0.205 6.5300
## 1171 0.559 0.323 6.5600
## 1172 0.638 0.416 6.5900
## 1173 0.589 0.410 6.6200
## 1174 0.587 0.256 6.6500
## 1175 0.623 0.327 4.4800
## 1176 0.634 0.240 4.5500
## 1177 0.623 0.280 4.6200
## 1178 0.592 0.243 4.8320
## 1179 0.564 0.340 5.1200
## 1180 0.648 0.353 5.3200
## 1181 0.640 0.397 5.4200
## 1182 0.587 0.384 5.5200
## 1183 0.764 0.205 5.7020
## 1184 0.803 0.217 5.7380
## 1185 0.858 0.112 5.7740
## 1186 0.866 0.272 5.8100
## 1187 0.804 0.302 5.8400
## 1188 0.746 0.282 5.8700
## 1189 0.777 0.300 5.9000
## 1190 0.755 0.286 5.9300
## 1191 0.800 0.289 5.9600
## 1192 0.811 0.160 4.9680
## 1193 0.749 0.239 5.5160
## 1194 0.721 0.277 5.6200
## 1195 0.739 0.240 5.6500
## 1196 0.672 0.256 5.6800
## 1197 0.648 0.248 5.7100
## 1198 0.717 0.171 5.7200
## 1199 0.643 0.152 5.7700
## 1200 0.745 0.153 5.8200
## 1201 0.570 0.215 5.8700
## 1202 0.672 0.226 5.9200
## 1203 0.699 0.207 5.9400
## 1204 0.736 0.231 5.9600
## 1205 0.629 0.279 5.9800
## 1206 0.614 0.287 6.0000
## 1207 0.543 0.358 6.0200
## 1208 0.627 0.370 6.1300
## 1209 0.571 0.376 6.2400
## 1210 0.537 0.387 6.3500
## 1211 0.536 0.357 6.4600
## 1212 0.869 0.233 7.0400
## 1213 0.818 0.213 7.0800
## 1214 0.788 0.182 7.1000
## 1215 0.853 0.206 7.1400
## 1216 0.863 0.181 7.1520
## 1217 0.861 0.226 7.1640
## 1218 0.867 0.235 7.1760
## 1219 0.868 0.221 7.1880
## 1220 0.834 0.202 7.2000
## 1221 0.838 0.215 7.2100
## 1222 0.852 0.185 7.2200
## 1223 0.862 0.205 7.2300
## 1224 0.838 0.231 7.2400
## 1225 0.784 0.247 7.2500
## 1226 0.880 0.219 7.1200
## 1227 0.854 0.238 7.1400
## 1228 0.854 0.232 7.1600
## 1229 0.847 0.235 7.2000
## 1230 0.864 0.210 7.2120
## 1231 0.866 0.207 7.2240
## 1232 0.835 0.151 7.2360
## 1233 0.848 0.199 7.2480
## 1234 0.834 0.160 7.2600
## 1235 0.833 0.207 7.2800
## 1236 0.817 0.172 7.3000
## 1237 0.845 0.168 7.3200
## 1238 0.816 0.191 7.3400
## 1239 0.849 0.209 7.3600
## 1240 0.779 0.294 6.4140
## 1241 0.810 0.287 6.4480
## 1242 0.784 0.289 6.4820
## 1243 0.781 0.299 6.5160
## 1244 0.805 0.268 6.5500
## 1245 0.791 0.309 6.5720
## 1246 0.803 0.255 6.5940
## 1247 0.839 0.271 6.6160
## 1248 0.813 0.334 6.6380
## 1249 0.797 0.346 6.6600
## 1250 0.805 0.380 6.6900
## 1251 0.850 0.308 6.7200
## 1252 0.793 0.408 6.7500
## 1253 0.835 0.337 6.7800
## 1254 0.755 0.179 4.6360
## 1255 0.706 0.158 4.7120
## 1256 0.650 0.194 4.7880
## 1257 0.730 0.115 4.8640
## 1258 0.745 0.126 4.9400
## 1259 0.700 0.166 4.9920
## 1260 0.603 0.142 5.0440
## 1261 0.650 0.208 5.0960
## 1262 0.678 0.205 5.1480
## 1263 0.682 0.218 5.2000
## 1264 0.675 0.325 5.2500
## 1265 0.731 0.427 5.3000
## 1266 0.771 0.503 5.3500
## 1267 0.816 0.304 5.4000
## 1268 0.781 0.178 4.4120
## 1269 0.826 0.141 4.4640
## 1270 0.740 0.244 4.5160
## 1271 0.745 0.225 4.5680
## 1272 0.782 0.190 4.6200
## 1273 0.811 0.209 4.7120
## 1274 0.638 0.286 4.7580
## 1275 0.717 0.251 4.8500
## 1276 0.732 0.252 4.8900
## 1277 0.725 0.236 4.9300
## 1278 0.805 0.256 4.9700
## 1279 0.715 0.245 5.0100
## 1280 0.744 0.316 5.0500
## 1281 0.709 0.405 NA
## 1282 0.622 0.443 NA
## 1283 0.724 0.311 NA
## 1284 0.702 0.319 NA
## 1285 0.644 0.346 NA
## 1286 0.480 0.262 NA
## 1287 0.494 0.296 NA
## 1288 0.603 0.251 6.4095
## 1289 0.576 0.370 6.4349
## 1290 0.567 0.314 6.4502
## 1291 0.588 0.363 6.4661
## 1292 0.642 0.422 6.4811
## 1293 0.578 0.331 6.4942
## 1294 0.637 0.307 6.5053
## 1295 0.620 0.299 6.5145
## 1296 0.639 0.292 6.5225
## 1297 0.502 0.299 6.5303
## 1298 0.590 0.298 6.5389
## 1299 0.576 0.304 6.5474
## 1300 0.605 0.365 6.5560
## 1301 0.832 0.197 7.1320
## 1302 0.792 0.155 7.1560
## 1303 0.823 0.213 7.2240
## 1304 0.834 0.194 7.2680
## 1305 0.843 0.209 7.2900
## 1306 0.850 0.209 7.3000
## 1307 0.849 0.203 7.3100
## 1308 0.827 0.212 7.3200
## 1309 0.823 0.195 7.3300
## 1310 0.823 0.216 7.3400
## 1311 NA 0.295 6.5500
## 1312 NA 0.237 5.4200
## 1313 0.683 0.310 5.5000
## 1314 0.655 0.321 5.5400
## 1315 0.639 0.349 5.5800
## 1316 0.651 0.372 5.6200
## 1317 0.628 0.358 5.6420
## 1318 0.665 0.332 5.6640
## 1319 0.598 0.274 5.6860
## 1320 0.585 0.295 5.7080
## 1321 0.575 0.329 5.7300
## 1322 0.648 0.332 5.7700
## 1323 0.586 0.308 5.8100
## 1324 0.567 0.377 5.8500
## 1325 0.581 0.424 5.8900
## 1326 0.497 0.431 6.1780
## 1327 0.566 0.412 6.1897
## 1328 0.571 0.403 6.2015
## 1329 0.544 0.466 6.2132
## 1330 0.628 0.381 6.2250
## 1331 0.567 0.388 NA
## 1332 0.616 0.379 NA
## 1333 0.594 0.365 NA
## 1334 0.565 0.380 NA
## 1335 0.594 0.369 NA
## 1336 0.593 0.378 NA
## 1337 0.597 0.416 NA
## 1338 0.610 0.419 NA
## 1339 0.625 0.400 NA
## 1340 0.845 0.232 6.7900
## 1341 0.820 0.149 6.8000
## 1342 0.819 0.150 6.8100
## 1343 0.883 0.144 6.8200
## 1344 0.888 0.146 6.8300
## 1345 0.885 0.180 6.8500
## 1346 0.869 0.207 6.8700
## 1347 0.869 0.226 6.8900
## 1348 0.808 0.254 6.9100
## 1349 0.801 0.264 6.9300
## 1350 0.858 0.244 6.9400
## 1351 0.833 0.242 6.9500
## 1352 0.884 0.223 6.9600
## 1353 0.878 0.244 6.9700
## 1354 0.816 0.303 6.3620
## 1355 0.867 0.219 6.3840
## 1356 0.849 0.259 6.4060
## 1357 0.832 0.186 6.4280
## 1358 0.855 0.176 6.4500
## 1359 0.810 0.190 6.4620
## 1360 0.837 0.213 6.4740
## 1361 0.919 0.224 6.4860
## 1362 0.944 0.216 6.4980
## 1363 0.866 0.219 6.5100
## 1364 0.925 0.197 6.5300
## 1365 0.903 0.232 6.5500
## 1366 0.858 0.275 6.5900
## 1367 0.697 0.420 6.5340
## 1368 0.758 0.361 6.5580
## 1369 0.763 0.354 6.5820
## 1370 0.811 0.320 6.6060
## 1371 0.800 0.330 6.6300
## 1372 0.780 0.331 6.6480
## 1373 0.757 0.398 6.6660
## 1374 0.778 0.390 6.6840
## 1375 0.759 0.319 6.7020
## 1376 0.754 0.378 6.7200
## 1377 0.822 0.338 6.7500
## 1378 0.789 0.394 6.7800
## 1379 0.809 0.380 6.8100
## 1380 0.820 0.375 6.8400
## 1381 0.832 NA 5.9800
## 1382 0.784 0.378 6.0000
## 1383 0.805 0.384 6.0200
## 1384 0.846 0.311 6.0400
## 1385 0.876 0.294 6.0600
## 1386 0.851 0.358 6.0800
## 1387 0.865 0.351 6.1000
## 1388 0.799 0.332 6.1200
## 1389 0.813 0.334 6.1400
## 1390 0.805 0.351 6.1600
## 1391 0.821 0.290 6.1700
## 1392 0.769 0.341 6.1800
## 1393 0.773 0.393 6.1900
## 1394 0.781 0.341 6.2000
## 1395 0.804 0.327 6.2100
## 1396 0.715 0.282 6.6300
## 1397 0.760 0.238 6.6700
## 1398 0.690 0.246 6.7100
## 1399 0.737 0.234 6.7300
## 1400 0.725 0.224 6.7460
## 1401 0.787 0.267 6.7620
## 1402 0.784 0.242 6.7780
## 1403 0.777 0.223 6.7940
## 1404 0.734 0.240 6.8100
## 1405 0.777 0.224 6.8500
## 1406 0.677 0.203 6.8900
## 1407 0.742 0.176 6.9300
## 1408 0.725 0.168 6.9700
## 1409 0.760 0.329 7.0100
## 1410 0.709 0.333 6.9840
## 1411 0.703 0.309 7.0320
## 1412 0.742 0.265 7.0800
## 1413 0.725 0.279 7.1000
## 1414 0.729 0.370 7.1200
## 1415 0.700 0.348 7.1400
## 1416 0.705 0.358 7.1600
## 1417 0.657 0.371 7.1800
## 1418 0.684 0.326 7.2000
## 1419 0.649 0.294 7.2200
## 1420 0.679 0.318 7.2400
## 1421 0.710 0.300 7.2600
## 1422 0.648 0.383 7.2800
## 1423 0.678 0.258 6.6580
## 1424 NA NA 6.6700
## 1425 0.761 0.328 6.7020
## 1426 0.766 0.322 6.7340
## 1427 NA NA 6.8300
## 1428 0.642 0.346 6.4000
## 1429 0.644 0.277 6.4480
## 1430 0.548 0.270 6.4960
## 1431 0.596 0.344 6.5200
## 1432 0.543 0.294 6.5420
## 1433 0.556 0.343 6.5640
## 1434 0.640 0.329 6.5860
## 1435 0.654 0.331 6.6080
## 1436 0.714 0.312 6.6300
## 1437 0.694 0.258 6.6600
## 1438 0.734 0.231 6.6900
## 1439 0.735 0.298 6.7200
## 1440 0.697 0.244 6.7500
## 1441 0.611 0.232 5.8680
## 1442 0.623 0.193 5.9260
## 1443 0.594 0.166 5.9840
## 1444 0.566 0.169 6.0420
## 1445 0.589 0.171 6.1000
## 1446 0.601 0.165 6.1420
## 1447 0.611 0.174 6.1840
## 1448 0.680 0.180 6.2260
## 1449 0.688 0.151 6.2680
## 1450 0.679 0.130 6.3100
## 1451 0.636 0.142 6.3500
## 1452 0.710 0.195 6.3900
## 1453 0.673 0.199 6.4300
## 1454 0.691 0.200 6.4700
## 1455 0.645 0.190 6.5100
## 1456 0.735 0.189 4.9880
## 1457 0.643 0.221 5.3040
## 1458 0.678 0.112 5.4620
## 1459 0.665 0.154 5.6820
## 1460 0.703 0.132 5.7440
## 1461 0.760 0.167 5.8060
## 1462 0.763 0.134 5.8680
## 1463 0.721 0.206 5.9300
## 1464 0.752 0.285 5.9900
## 1465 0.762 0.358 6.0500
## 1466 0.793 0.308 6.1100
## 1467 0.736 0.418 6.1700
## 1468 0.730 0.243 6.3500
## 1469 0.772 0.232 6.3860
## 1470 0.710 0.202 6.4040
## 1471 0.742 0.319 6.4220
## 1472 0.645 0.297 6.4400
## 1473 0.726 0.240 6.4600
## 1474 0.715 0.225 6.4800
## 1475 0.744 0.276 6.5000
## 1476 0.705 0.313 6.5200
## 1477 0.724 0.327 6.5400
## 1478 0.793 0.266 6.5700
## 1479 0.775 0.306 6.6000
## 1480 0.764 0.288 6.6300
## 1481 0.732 0.238 6.6600
## 1482 0.754 0.251 6.6900
## 1483 0.740 0.225 5.3380
## 1484 0.714 0.199 5.4060
## 1485 0.673 0.252 5.4740
## 1486 0.757 0.228 5.5420
## 1487 0.769 0.143 5.6100
## 1488 0.752 0.180 5.6560
## 1489 0.771 0.214 5.7020
## 1490 0.680 0.165 5.7480
## 1491 0.725 0.157 5.7940
## 1492 0.711 0.208 5.8400
## 1493 0.784 0.245 5.8800
## 1494 0.746 0.291 5.9200
## 1495 0.714 0.247 5.9600
## 1496 0.789 0.332 6.0000
## 1497 0.576 0.334 6.5600
## 1498 0.544 0.435 6.6000
## 1499 0.532 0.415 6.6200
## 1500 0.545 0.410 6.6360
## 1501 0.514 0.371 6.6520
## 1502 0.529 0.403 6.6680
## 1503 0.498 0.326 6.6840
## 1504 0.496 0.303 6.7000
## 1505 0.535 0.298 6.7400
## 1506 0.510 0.326 6.7800
## 1507 0.559 0.296 6.8200
## 1508 0.509 0.242 6.8600
## 1509 0.603 0.358 6.9000
## 1510 0.505 0.381 4.0300
## 1511 0.582 0.290 4.1200
## 1512 0.534 0.370 4.2100
## 1513 0.514 0.290 4.3900
## 1514 0.446 0.300 4.4320
## 1515 0.521 0.423 4.5160
## 1516 0.570 0.334 4.5580
## 1517 0.625 0.414 4.6000
## 1518 0.584 0.456 4.7600
## 1519 0.600 0.495 4.9200
## 1520 0.552 0.466 5.0800
## 1521 0.513 0.438 5.2400
## 1522 0.751 0.267 7.3600
## 1523 0.700 0.114 7.3900
## 1524 0.721 0.256 7.4200
## 1525 0.500 0.208 7.4500
## 1526 0.602 0.131 7.4800
## 1527 0.483 0.144 7.5020
## 1528 0.770 0.148 7.5460
## 1529 0.841 0.180 7.5680
## 1530 0.803 0.142 7.5900
## 1531 0.824 0.111 7.6200
## 1532 0.800 0.179 7.6500
## 1533 0.787 0.107 7.6800
## 1534 0.723 0.138 7.7100
## 1535 0.678 0.308 6.6000
## 1536 0.666 0.277 6.6800
## 1537 0.637 0.287 6.7040
## 1538 0.656 0.302 6.7280
## 1539 0.698 0.277 6.7520
## 1540 0.703 0.267 6.7760
## 1541 0.714 0.269 6.8000
## 1542 0.774 0.232 6.8300
## 1543 0.788 0.213 6.8600
## 1544 0.754 0.253 6.8900
## 1545 0.750 0.252 6.9200
## 1546 0.764 0.274 6.9500
## 1547 0.652 0.307 6.8000
## 1548 0.641 0.303 6.8900
## 1549 0.671 0.295 6.9200
## 1550 0.652 0.285 6.9400
## 1551 0.656 0.284 6.9600
## 1552 0.635 0.274 6.9800
## 1553 0.620 0.291 7.0000
## 1554 0.659 0.261 7.0200
## 1555 0.626 0.272 7.0500
## 1556 0.615 0.286 7.0800
## 1557 0.644 0.275 7.1100
## 1558 0.679 0.228 7.1400
## 1559 0.610 0.314 7.1700
## 1560 0.834 0.207 4.9600
## 1561 0.901 0.187 5.0100
## 1562 0.891 0.193 5.0000
## 1563 0.819 0.112 NA
## 1564 0.769 0.083 NA
## 1565 0.749 0.122 NA
## 1566 0.735 0.152 NA
## 1567 0.802 0.223 4.8020
## 1568 0.735 0.210 4.8640
## 1569 0.773 0.206 4.9260
## 1570 0.727 0.231 4.9880
## 1571 0.794 0.124 5.0500
## 1572 0.763 0.230 5.1460
## 1573 0.761 0.178 5.2420
## 1574 0.773 0.167 5.3380
## 1575 0.798 0.243 5.4340
## 1576 0.781 0.161 5.5300
## 1577 0.786 0.301 5.5700
## 1578 0.785 0.268 5.6100
## 1579 0.812 0.283 5.6500
## 1580 0.801 0.268 5.6900
## 1581 0.820 0.294 5.7300
## 1582 0.651 0.338 7.0200
## 1583 0.690 0.226 7.0500
## 1584 0.643 0.239 7.0800
## 1585 0.697 0.209 7.1100
## 1586 0.662 0.130 7.1400
## 1587 0.656 0.168 7.1660
## 1588 0.664 0.206 7.1920
## 1589 0.676 0.189 7.2180
## 1590 0.653 0.283 7.2440
## 1591 0.650 0.244 7.2700
## 1592 0.676 0.233 7.3000
## 1593 0.623 0.235 7.3300
## 1594 0.661 0.217 7.3600
## 1595 0.684 0.236 7.3900
## 1596 0.640 0.247 7.4200
## 1597 0.614 0.428 4.9840
## 1598 0.586 0.450 5.0200
## 1599 0.615 0.549 5.0600
## 1600 0.586 0.517 5.1000
## 1601 0.776 0.241 7.1500
## 1602 0.763 0.264 7.2060
## 1603 0.772 0.260 7.2340
## 1604 0.752 0.336 7.2620
## 1605 0.724 0.322 7.2900
## 1606 0.737 0.356 7.3020
## 1607 0.749 0.366 7.3140
## 1608 0.696 0.372 7.3260
## 1609 0.716 0.335 7.3380
## 1610 0.732 0.285 7.3500
## 1611 0.653 0.301 7.3800
## 1612 0.625 0.302 7.4100
## 1613 0.659 0.357 7.4400
## 1614 0.663 0.316 7.4700
## 1615 0.686 0.317 7.5000
## 1616 0.757 0.216 6.5780
## 1617 0.709 0.220 6.5860
## 1618 0.790 0.153 6.5940
## 1619 0.770 0.172 6.6020
## 1620 0.823 0.163 6.6100
## 1621 0.825 0.175 6.6200
## 1622 0.864 0.197 6.6300
## 1623 0.860 0.208 6.6400
## 1624 0.843 0.187 6.6500
## 1625 0.848 0.235 6.6600
## 1626 0.795 0.270 6.7000
## 1627 0.831 0.302 6.7200
## 1628 0.816 0.315 6.7400
## 1629 0.734 0.245 5.3700
## 1630 0.669 0.221 5.4000
## 1631 0.586 0.249 5.4280
## 1632 0.576 0.242 5.4560
## 1633 0.541 0.303 5.5120
## 1634 0.764 0.250 6.2240
## 1635 0.821 0.251 4.0808
## 1636 0.824 0.252 5.0353
## 1637 0.778 0.280 5.1270
## 1638 0.840 0.151 7.1200
## 1639 0.796 0.177 7.1480
## 1640 0.804 0.134 7.1620
## 1641 0.820 0.151 7.1760
## 1642 0.833 0.200 7.1900
## 1643 0.815 0.179 7.1980
## 1644 0.855 0.170 7.2060
## 1645 0.829 0.184 7.2140
## 1646 0.836 0.208 7.2220
## 1647 0.818 0.191 7.2300
## 1648 0.816 0.201 7.2400
## 1649 0.814 0.175 7.2500
## 1650 0.823 0.161 7.2600
## 1651 0.826 0.202 7.2700
## 1652 0.766 0.222 7.2800
## 1653 0.821 0.212 7.1540
## 1654 0.814 0.202 7.2260
## 1655 0.859 0.176 7.2780
## 1656 0.823 0.189 7.3060
## 1657 0.809 0.166 7.3200
## 1658 0.779 0.206 7.3500
## 1659 0.774 0.196 7.3800
## 1660 0.792 0.192 7.4100
## 1661 0.798 0.171 7.4400
## 1662 0.769 0.193 7.4700
## 1663 0.609 0.338 6.3900
## 1664 0.574 0.292 6.4000
## 1665 0.558 0.225 6.4100
## 1666 0.599 0.496 6.2320
## 1667 0.464 0.705 6.0540
## 1668 0.387 0.622 5.8760
## 1669 0.369 0.643 5.5200
## 1670 0.814 0.094 6.8680
## 1671 0.794 0.169 6.9140
## 1672 0.845 0.136 6.9600
## 1673 0.827 0.112 NA
## 1674 0.821 0.140 NA
## 1675 0.846 0.124 NA
## 1676 0.849 0.108 NA
## 1677 0.832 0.129 NA
## 1678 0.833 0.108 NA
## 1679 0.837 0.114 NA
## 1680 0.848 0.093 NA
## 1681 0.860 0.093 NA
## 1682 0.845 0.083 NA
## 1683 0.566 0.195 6.0640
## 1684 0.694 0.133 6.1080
## 1685 0.606 0.160 6.1520
## 1686 0.605 0.203 6.1960
## 1687 0.643 0.192 6.2400
## 1688 0.698 0.166 6.2560
## 1689 0.714 0.198 6.2720
## 1690 0.677 0.170 6.2880
## 1691 0.656 0.196 6.3040
## 1692 0.689 0.196 6.3200
## 1693 0.644 0.220 6.3500
## 1694 0.603 0.278 6.3800
## 1695 0.695 0.220 6.4100
## 1696 0.729 0.178 6.4400
## 1697 0.749 0.344 6.4700
## 1698 0.748 0.209 4.8700
## 1699 0.755 0.220 4.9600
## 1700 0.744 0.178 5.0500
## 1701 0.778 0.161 5.1400
## 1702 0.717 0.146 5.2300
## 1703 0.765 0.145 5.3040
## 1704 0.679 0.195 5.3780
## 1705 0.738 0.191 5.4520
## 1706 0.731 0.241 5.5260
## 1707 0.619 0.192 5.6000
## 1708 0.694 0.246 5.6500
## 1709 0.715 0.255 5.7000
## 1710 0.762 0.221 5.7500
## 1711 0.726 0.243 5.8000
## 1712 0.686 0.271 5.8500
## 1713 0.814 0.164 6.4140
## 1714 0.832 0.180 6.4480
## 1715 0.819 0.145 6.4820
## 1716 0.898 0.166 6.5160
## 1717 0.901 0.182 6.5500
## 1718 0.934 0.117 6.5720
## 1719 0.855 0.138 6.5940
## 1720 0.846 0.141 6.6160
## 1721 0.811 0.169 6.6380
## 1722 0.910 0.174 6.6600
## 1723 0.835 0.218 6.6800
## 1724 0.816 0.232 6.7000
## 1725 0.843 0.198 6.7200
## 1726 0.843 0.208 6.7400
## 1727 0.783 0.326 6.7600
## 1728 0.615 0.348 4.9260
## 1729 0.362 0.379 5.0180
## 1730 0.480 0.395 5.1580
## 1731 0.583 0.443 5.3020
## 1732 0.599 0.416 5.3500
## 1733 0.604 0.483 5.3900
## 1734 0.614 0.426 5.4300
## 1735 0.608 0.446 5.4700
## 1736 0.590 0.444 5.5100
## 1737 0.798 0.229 6.1760
## 1738 0.817 0.184 6.2080
## 1739 0.906 0.134 6.2540
## 1740 0.833 0.286 6.2820
## 1741 0.846 0.248 6.3500
## 1742 NA NA 6.4960
## 1743 0.725 0.249 6.5100
## 1744 0.588 0.248 6.5280
## 1745 0.521 0.327 6.5460
## 1746 0.517 0.239 6.5640
## 1747 0.503 0.321 6.5820
## 1748 0.573 0.320 6.6000
## 1749 0.612 0.378 6.6300
## 1750 0.421 0.377 6.6600
## 1751 0.592 0.365 6.6900
## 1752 0.539 0.433 6.7200
## 1753 0.585 0.439 6.7500
## 1754 0.557 NA 6.2600
## 1755 0.651 0.395 6.3320
## 1756 0.614 0.345 6.3680
## 1757 0.598 0.316 6.4040
## 1758 0.652 0.327 6.4400
## 1759 0.621 0.380 6.4640
## 1760 0.645 0.335 6.4880
## 1761 0.635 0.392 6.5120
## 1762 0.483 0.377 6.5360
## 1763 0.460 0.382 6.5600
## 1764 0.465 0.390 6.6000
## 1765 0.450 0.313 6.6400
## 1766 0.435 0.351 6.6800
## 1767 0.422 0.368 6.7200
## 1768 0.384 0.440 6.7600
## 1769 0.781 0.152 5.9440
## 1770 0.639 0.122 6.0040
## 1771 0.584 0.117 6.0280
## 1772 0.599 0.160 6.0520
## 1773 0.695 0.154 6.0760
## 1774 0.705 0.301 6.1000
## 1775 0.636 0.255 6.1400
## 1776 0.521 0.350 6.1800
## 1777 0.612 0.189 6.2200
## 1778 0.510 0.183 6.2600
## 1779 0.590 0.254 4.6480
## 1780 0.708 0.228 4.7460
## 1781 0.641 0.240 4.8440
## 1782 0.640 0.296 4.9420
## 1783 0.648 0.251 5.0400
## 1784 0.678 0.254 5.1220
## 1785 0.754 0.265 5.2040
## 1786 0.676 0.346 5.2860
## 1787 0.681 0.397 5.3680
## 1788 0.703 0.353 5.4500
## 1789 0.668 0.410 5.4900
## 1790 0.703 0.400 5.5300
## 1791 0.685 0.390 5.5700
## 1792 0.693 0.385 5.6100
## 1793 0.699 0.425 5.6500
## 1794 0.622 0.249 6.0120
## 1795 0.636 0.208 6.0640
## 1796 0.573 0.186 6.1160
## 1797 0.583 0.189 6.1680
## 1798 0.513 0.227 6.2200
## 1799 0.590 0.220 6.2500
## 1800 0.570 0.193 6.2800
## 1801 0.643 0.225 6.3100
## 1802 0.594 0.249 6.3400
## 1803 0.574 0.241 6.3700
## 1804 0.589 0.220 6.4000
## 1805 0.597 0.235 6.4300
## 1806 0.609 0.222 6.4600
## 1807 0.634 0.201 6.4900
## 1808 0.688 0.285 6.5200
## 1809 0.746 0.275 6.5920
## 1810 0.770 0.287 6.6280
## 1811 0.763 0.233 6.6400
## 1812 0.763 0.216 6.6420
## 1813 0.768 0.224 6.6440
## 1814 NA 0.291 6.6460
## 1815 NA NA 6.6480
## 1816 0.761 0.296 6.6500
## 1817 0.775 0.245 6.6700
## 1818 0.795 0.208 6.6900
## 1819 0.787 0.302 6.7100
## 1820 0.793 0.284 6.7300
## 1821 0.752 0.298 6.7500
## 1822 0.864 0.262 6.9900
## 1823 0.782 0.241 7.0460
## 1824 0.819 0.218 7.0740
## 1825 0.846 0.231 7.1020
## 1826 0.863 0.176 7.1300
## 1827 0.844 0.174 7.1380
## 1828 0.844 0.184 7.1460
## 1829 0.776 0.252 7.1540
## 1830 0.794 0.251 7.1620
## 1831 0.798 0.219 7.1700
## 1832 0.776 0.230 7.1900
## 1833 0.759 0.210 7.2100
## 1834 0.783 0.228 7.2300
## 1835 0.775 0.251 7.2500
## 1836 0.758 0.225 7.2700
## 1837 0.827 0.261 6.8060
## 1838 0.829 0.232 6.8220
## 1839 0.872 0.227 6.8380
## 1840 0.843 0.262 6.8540
## 1841 0.861 0.231 6.8700
## 1842 0.836 0.273 6.8680
## 1843 0.834 0.260 6.8660
## 1844 0.814 0.260 6.8640
## 1845 0.834 0.281 6.8620
## 1846 0.814 0.275 6.8600
## 1847 0.806 0.264 6.8500
## 1848 0.827 0.268 6.8400
## 1849 0.815 0.292 6.8300
## 1850 0.815 0.244 6.8200
## 1851 0.787 0.295 6.8100
## 1852 0.784 0.306 6.7440
## 1853 0.777 0.274 6.7580
## 1854 0.751 0.264 6.7720
## 1855 0.793 0.255 6.7860
## 1856 0.807 0.231 6.8000
## 1857 0.805 0.252 6.8140
## 1858 0.788 0.214 6.8280
## 1859 0.826 0.253 6.8420
## 1860 0.869 0.251 6.8560
## 1861 0.893 0.300 6.8700
## 1862 0.842 0.283 6.8800
## 1863 0.836 0.280 6.8900
## 1864 0.877 0.275 6.9000
## 1865 0.889 0.222 6.9100
## 1866 0.807 0.265 6.9200
## 1867 0.728 0.195 6.1440
## 1868 0.714 0.187 6.2320
## 1869 0.736 0.159 6.2760
## 1870 0.776 0.152 6.3200
## 1871 0.787 0.123 6.3400
## 1872 0.786 0.118 6.3600
## 1873 0.749 0.130 6.3800
## 1874 0.805 0.106 6.4000
## 1875 0.840 0.103 6.4200
## 1876 0.842 0.147 6.4500
## 1877 0.839 0.203 6.4800
## 1878 0.825 0.209 6.5100
## 1879 0.845 0.220 6.5400
## 1880 0.819 0.233 6.5400
## 1881 0.859 0.178 6.5460
## 1882 0.802 0.224 6.5580
## 1883 0.825 0.180 6.5640
## 1884 0.862 0.130 6.5700
## 1885 0.828 0.199 6.5740
## 1886 0.858 0.176 6.5780
## 1887 0.840 0.238 6.5820
## 1888 0.811 0.244 6.5860
## 1889 0.867 0.223 6.5900
## 1890 0.688 0.392 6.6100
## 1891 0.726 0.363 6.6300
## 1892 0.759 0.374 6.6500
## 1893 0.761 0.351 6.6700
## 1894 0.722 0.396 6.6900
## 1895 0.682 0.204 6.5860
## 1896 0.588 0.206 6.6020
## 1897 0.665 0.218 6.6180
## 1898 0.583 0.190 6.6340
## 1899 0.685 0.216 6.6500
## 1900 0.532 0.193 6.6660
## 1901 0.615 0.221 6.6820
## 1902 0.718 0.165 6.6980
## 1903 0.701 0.241 6.7140
## 1904 0.642 0.232 6.7300
## 1905 0.536 0.223 6.7500
## 1906 NA NA 6.7700
## 1907 0.692 0.191 6.7900
## 1908 0.751 0.186 6.8100
## 1909 0.592 0.379 5.3400
## 1910 0.583 0.374 5.4000
## 1911 0.582 0.308 5.4300
## 1912 0.503 0.285 5.4300
## 1913 0.502 0.263 5.4300
## 1914 0.558 0.266 5.4300
## 1915 0.611 0.276 5.4300
## 1916 0.507 0.321 5.4300
## 1917 0.469 0.228 5.5100
## 1918 0.455 0.295 5.5900
## 1919 0.461 0.315 5.6700
## 1920 0.543 0.213 5.7500
## 1921 0.701 0.226 4.4260
## 1922 0.687 0.246 4.5720
## 1923 0.744 0.206 4.7180
## 1924 0.728 0.123 4.8640
## 1925 0.833 0.204 5.0840
## 1926 0.726 0.250 5.1580
## 1927 0.735 0.308 5.2320
## 1928 0.692 0.327 5.3060
## 1929 0.690 0.382 5.3800
## 1930 0.731 0.372 5.4300
## 1931 0.685 0.387 5.4800
## 1932 0.703 0.351 5.5300
## 1933 0.743 0.394 5.5800
## 1934 0.691 0.345 5.6300
## 1935 0.715 0.297 4.1580
## 1936 0.661 0.265 4.2860
## 1937 0.631 0.250 4.4140
## 1938 0.736 0.218 4.5420
## 1939 0.748 0.122 4.6700
## 1940 0.781 0.211 4.8120
## 1941 0.669 0.177 4.9540
## 1942 0.712 0.182 5.0960
## 1943 0.725 0.239 5.2380
## 1944 0.715 0.179 5.3800
## 1945 0.738 0.209 5.4400
## 1946 0.806 0.224 5.5000
## 1947 0.710 0.212 5.5600
## 1948 0.716 0.235 5.6200
## 1949 0.703 0.346 5.6800df %>% transmute(Healthy.life.expectancy.at.birth_new = Healthy.life.expectancy.at.birth/10)## Healthy.life.expectancy.at.birth_new
## 1 5.0800
## 2 5.1200
## 3 5.1600
## 4 5.1920
## 5 5.2240
## 6 5.2560
## 7 5.2880
## 8 5.3200
## 9 5.3000
## 10 5.2800
## 11 5.2600
## 12 5.2400
## 13 6.5800
## 14 6.6200
## 15 6.6400
## 16 6.6680
## 17 6.6960
## 18 6.7240
## 19 6.7520
## 20 6.7800
## 21 6.8100
## 22 6.8400
## 23 6.8700
## 24 6.9000
## 25 6.9300
## 26 6.4500
## 27 6.4660
## 28 6.4820
## 29 6.5140
## 30 6.5500
## 31 6.5700
## 32 6.5900
## 33 6.6100
## 34 5.2500
## 35 5.3200
## 36 5.3900
## 37 5.4600
## 38 6.6820
## 39 6.6940
## 40 6.7060
## 41 6.7180
## 42 6.7300
## 43 6.7480
## 44 6.7660
## 45 6.7840
## 46 6.8020
## 47 6.8200
## 48 6.8400
## 49 6.8600
## 50 6.8800
## 51 6.9000
## 52 6.9200
## 53 6.4800
## 54 6.4900
## 55 6.5000
## 56 6.5100
## 57 6.5200
## 58 6.5360
## 59 6.5520
## 60 6.5680
## 61 6.5840
## 62 6.6000
## 63 6.6300
## 64 6.6600
## 65 6.6900
## 66 6.7200
## 67 7.1400
## 68 7.1720
## 69 7.1880
## 70 7.2200
## 71 7.2300
## 72 7.2400
## 73 7.2500
## 74 7.2600
## 75 7.2700
## 76 7.3000
## 77 7.3300
## 78 7.3600
## 79 7.3900
## 80 7.4200
## 81 7.0760
## 82 7.1080
## 83 7.1400
## 84 7.1540
## 85 7.1680
## 86 7.1820
## 87 7.1960
## 88 7.2100
## 89 7.2400
## 90 7.2700
## 91 7.3000
## 92 7.3300
## 93 7.3600
## 94 6.1880
## 95 6.2260
## 96 6.2640
## 97 6.3020
## 98 6.3400
## 99 6.3640
## 100 6.3880
## 101 6.4120
## 102 6.4360
## 103 6.4600
## 104 6.4900
## 105 6.5200
## 106 6.5500
## 107 6.5800
## 108 6.5940
## 109 6.6300
## 110 6.6580
## 111 6.6860
## 112 6.7140
## 113 6.7420
## 114 6.7700
## 115 6.8100
## 116 6.8500
## 117 6.9300
## 118 6.9700
## 119 5.9020
## 120 5.9440
## 121 5.9860
## 122 6.0280
## 123 6.0700
## 124 6.1120
## 125 6.1540
## 126 6.1960
## 127 6.2380
## 128 6.2800
## 129 6.3300
## 130 6.3800
## 131 6.4300
## 132 6.4800
## 133 6.5300
## 134 6.1100
## 135 6.1400
## 136 6.1700
## 137 6.2000
## 138 6.2300
## 139 6.2880
## 140 6.3460
## 141 6.4040
## 142 6.4620
## 143 6.5200
## 144 6.5500
## 145 6.5800
## 146 6.6100
## 147 6.6400
## 148 6.9900
## 149 7.0260
## 150 7.0440
## 151 7.0800
## 152 7.0920
## 153 7.1040
## 154 7.1160
## 155 7.1280
## 156 7.1400
## 157 7.1600
## 158 7.1800
## 159 7.2000
## 160 7.2200
## 161 7.2400
## 162 6.1600
## 163 6.2220
## 164 5.0100
## 165 5.0900
## 166 5.1980
## 167 5.2260
## 168 5.2540
## 169 5.2820
## 170 5.3100
## 171 5.3500
## 172 5.3900
## 173 5.4300
## 174 5.4700
## 175 5.5100
## 176 5.9600
## 177 5.9900
## 178 6.0200
## 179 5.9000
## 180 5.9500
## 181 6.0000
## 182 6.0500
## 183 6.1000
## 184 6.1340
## 185 6.1680
## 186 6.2020
## 187 6.2360
## 188 6.2700
## 189 6.3000
## 190 6.3300
## 191 6.3600
## 192 6.3900
## 193 6.4200
## 194 6.6040
## 195 6.6480
## 196 6.6700
## 197 6.6740
## 198 6.6780
## 199 6.6820
## 200 6.6860
## 201 6.6900
## 202 6.7200
## 203 6.7500
## 204 6.7800
## 205 6.8100
## 206 6.8400
## 207 4.6820
## 208 4.9860
## 209 5.2900
## 210 5.3680
## 211 5.4460
## 212 5.5240
## 213 5.6020
## 214 5.6800
## 215 5.7500
## 216 5.8200
## 217 5.8900
## 218 5.9600
## 219 6.3300
## 220 6.3780
## 221 6.4020
## 222 6.4260
## 223 6.4500
## 224 6.4760
## 225 6.5020
## 226 6.5280
## 227 6.5540
## 228 6.5800
## 229 6.6000
## 230 6.6200
## 231 6.6400
## 232 6.6600
## 233 6.6800
## 234 6.5100
## 235 6.5700
## 236 6.5800
## 237 6.5900
## 238 6.6000
## 239 6.6100
## 240 6.6200
## 241 6.6400
## 242 6.6600
## 243 6.6800
## 244 6.7000
## 245 6.7200
## 246 4.6660
## 247 4.7420
## 248 4.8180
## 249 4.9700
## 250 5.0240
## 251 5.0780
## 252 5.1320
## 253 5.1860
## 254 5.2400
## 255 5.2900
## 256 5.3400
## 257 5.3900
## 258 5.4400
## 259 4.9020
## 260 4.9660
## 261 5.0680
## 262 5.1820
## 263 5.3400
## 264 5.5300
## 265 5.6100
## 266 5.6900
## 267 5.7700
## 268 5.8500
## 269 5.8880
## 270 5.9260
## 271 5.9640
## 272 6.0020
## 273 6.0400
## 274 6.0800
## 275 6.1200
## 276 6.1600
## 277 6.2000
## 278 6.2400
## 279 4.5980
## 280 4.6560
## 281 4.7140
## 282 4.7720
## 283 4.8300
## 284 4.8700
## 285 4.9100
## 286 4.9500
## 287 4.9900
## 288 5.0300
## 289 5.1100
## 290 5.1900
## 291 5.2700
## 292 5.3500
## 293 5.4300
## 294 7.1300
## 295 7.1660
## 296 7.1840
## 297 7.2020
## 298 7.2200
## 299 7.2360
## 300 7.2520
## 301 7.2680
## 302 7.2840
## 303 7.3000
## 304 7.3200
## 305 7.3400
## 306 7.3600
## 307 7.3800
## 308 7.4000
## 309 4.0900
## 310 4.2700
## 311 4.3080
## 312 4.4900
## 313 4.5200
## 314 4.3180
## 315 4.3660
## 316 4.4140
## 317 4.4620
## 318 4.5100
## 319 4.5420
## 320 4.5740
## 321 4.6060
## 322 4.6380
## 323 4.6700
## 324 4.7200
## 325 4.7700
## 326 4.8200
## 327 4.8700
## 328 6.8660
## 329 6.8720
## 330 6.8780
## 331 6.8840
## 332 6.8900
## 333 6.9040
## 334 6.9180
## 335 6.9320
## 336 6.9460
## 337 6.9600
## 338 6.9700
## 339 6.9800
## 340 6.9900
## 341 7.0000
## 342 7.0100
## 343 6.6880
## 344 6.7060
## 345 6.7240
## 346 6.7420
## 347 6.7600
## 348 6.7760
## 349 6.7920
## 350 6.8080
## 351 6.8240
## 352 6.8400
## 353 6.8700
## 354 6.9000
## 355 6.9300
## 356 6.9600
## 357 6.9900
## 358 6.5220
## 359 6.5340
## 360 6.5460
## 361 6.5580
## 362 6.5700
## 363 6.5920
## 364 6.6140
## 365 6.6360
## 366 6.6580
## 367 6.6800
## 368 6.7100
## 369 6.7400
## 370 6.7700
## 371 6.8000
## 372 6.8300
## 373 5.4360
## 374 5.4700
## 375 5.5020
## 376 5.5340
## 377 5.7200
## 378 5.7500
## 379 5.2200
## 380 5.4580
## 381 5.4960
## 382 5.5340
## 383 5.5720
## 384 5.6100
## 385 5.6700
## 386 5.7300
## 387 5.7900
## 388 5.8500
## 389 4.9340
## 390 5.0340
## 391 5.0780
## 392 5.1220
## 393 5.1660
## 394 5.2100
## 395 5.2500
## 396 5.2900
## 397 6.9940
## 398 6.9880
## 399 6.9820
## 400 6.9760
## 401 6.9700
## 402 6.9900
## 403 7.0100
## 404 7.0300
## 405 7.0500
## 406 7.0700
## 407 7.0900
## 408 7.1100
## 409 7.1300
## 410 7.1500
## 411 6.7120
## 412 6.7640
## 413 6.7900
## 414 6.8000
## 415 6.8100
## 416 6.8200
## 417 6.8300
## 418 6.8400
## 419 6.9000
## 420 6.9600
## 421 7.0200
## 422 7.0800
## 423 7.1400
## 424 6.8440
## 425 7.1440
## 426 7.2160
## 427 7.2400
## 428 7.2540
## 429 7.2680
## 430 7.2820
## 431 7.2960
## 432 7.3100
## 433 7.3300
## 434 7.3500
## 435 7.3700
## 436 7.3900
## 437 7.4100
## 438 6.7000
## 439 6.7440
## 440 6.8100
## 441 6.8240
## 442 6.8380
## 443 6.8520
## 444 6.8660
## 445 6.8800
## 446 6.9300
## 447 6.9800
## 448 7.0300
## 449 7.1300
## 450 6.9600
## 451 6.9920
## 452 7.0080
## 453 7.0240
## 454 7.0400
## 455 7.0620
## 456 7.0840
## 457 7.1060
## 458 7.1280
## 459 7.1500
## 460 7.1800
## 461 7.2100
## 462 7.2400
## 463 7.2700
## 464 7.3000
## 465 5.3260
## 466 5.3780
## 467 5.4300
## 468 5.4700
## 469 6.2680
## 470 6.2960
## 471 6.3240
## 472 6.3520
## 473 6.3800
## 474 6.4020
## 475 6.4240
## 476 6.4460
## 477 6.4680
## 478 6.4900
## 479 6.5200
## 480 6.5500
## 481 6.5800
## 482 6.6100
## 483 6.6400
## 484 6.6080
## 485 6.6260
## 486 6.6440
## 487 6.6620
## 488 6.6800
## 489 6.6960
## 490 6.7120
## 491 6.7280
## 492 6.7440
## 493 6.7600
## 494 6.7900
## 495 6.8200
## 496 6.8500
## 497 6.8800
## 498 6.9100
## 499 5.9700
## 500 5.9820
## 501 5.9880
## 502 5.9940
## 503 6.0000
## 504 6.0160
## 505 6.0320
## 506 6.0480
## 507 6.0640
## 508 6.0800
## 509 6.1100
## 510 6.1400
## 511 6.1700
## 512 6.2000
## 513 6.2300
## 514 6.2920
## 515 6.3240
## 516 6.3560
## 517 6.3880
## 518 6.4200
## 519 6.4400
## 520 6.4600
## 521 6.4800
## 522 6.5000
## 523 6.5200
## 524 6.5500
## 525 6.5800
## 526 6.6100
## 527 6.6400
## 528 6.6700
## 529 6.4860
## 530 6.5320
## 531 6.5780
## 532 6.6240
## 533 6.6960
## 534 6.7220
## 535 6.7480
## 536 6.7740
## 537 6.8000
## 538 6.8200
## 539 6.8400
## 540 6.8600
## 541 6.8800
## 542 6.9000
## 543 5.5200
## 544 5.5800
## 545 5.6400
## 546 5.7000
## 547 5.7500
## 548 5.8000
## 549 5.8500
## 550 5.9000
## 551 5.9500
## 552 6.9760
## 553 7.0080
## 554 7.0400
## 555 7.0640
## 556 7.0880
## 557 7.1120
## 558 7.1360
## 559 7.1600
## 560 7.1700
## 561 7.1800
## 562 7.1900
## 563 7.2000
## 564 7.2100
## 565 7.1300
## 566 7.1480
## 567 7.1840
## 568 7.2020
## 569 7.2200
## 570 7.2400
## 571 7.2600
## 572 7.2800
## 573 7.3000
## 574 7.3200
## 575 7.3400
## 576 7.3600
## 577 7.3800
## 578 7.4000
## 579 7.4200
## 580 5.5480
## 581 5.6160
## 582 5.6840
## 583 5.7520
## 584 5.8200
## 585 5.8700
## 586 5.9200
## 587 5.9700
## 588 6.0200
## 589 5.4700
## 590 5.5000
## 591 5.5300
## 592 6.5120
## 593 6.5040
## 594 6.4960
## 595 6.4880
## 596 6.4800
## 597 6.4860
## 598 6.4920
## 599 6.4980
## 600 6.5040
## 601 6.5100
## 602 6.4900
## 603 6.4700
## 604 6.4500
## 605 6.4300
## 606 6.4100
## 607 7.0200
## 608 7.0480
## 609 7.0620
## 610 7.0760
## 611 7.0900
## 612 7.0980
## 613 7.1060
## 614 7.1140
## 615 7.1220
## 616 7.1300
## 617 7.1600
## 618 7.1900
## 619 7.2200
## 620 7.2500
## 621 7.2800
## 622 5.2340
## 623 5.2780
## 624 5.3220
## 625 5.3660
## 626 5.4100
## 627 5.4480
## 628 5.4860
## 629 5.5240
## 630 5.5620
## 631 5.6000
## 632 5.6400
## 633 5.6800
## 634 5.7200
## 635 5.7600
## 636 5.8000
## 637 7.0500
## 638 7.0900
## 639 7.1300
## 640 7.1500
## 641 7.1560
## 642 7.1620
## 643 7.1680
## 644 7.1740
## 645 7.1800
## 646 7.2000
## 647 7.2200
## 648 7.2400
## 649 7.2600
## 650 7.2800
## 651 6.0740
## 652 6.1080
## 653 6.1420
## 654 6.1760
## 655 6.2100
## 656 6.2460
## 657 6.2820
## 658 6.3180
## 659 6.3540
## 660 6.3900
## 661 6.4200
## 662 6.4500
## 663 6.4800
## 664 6.5100
## 665 5.0220
## 666 5.0440
## 667 5.0660
## 668 5.0880
## 669 5.1100
## 670 5.2200
## 671 5.3300
## 672 5.4400
## 673 5.5500
## 674 5.7260
## 675 4.8460
## 676 4.0380
## 677 3.2300
## 678 3.6860
## 679 4.1420
## 680 4.5980
## 681 5.0540
## 682 5.5100
## 683 5.5300
## 684 5.5500
## 685 5.5700
## 686 6.4540
## 687 6.4780
## 688 6.5020
## 689 6.5260
## 690 6.5500
## 691 6.5720
## 692 6.5940
## 693 6.6160
## 694 6.6380
## 695 6.6600
## 696 6.6800
## 697 6.7000
## 698 6.7200
## 699 6.7400
## 700 NA
## 701 NA
## 702 NA
## 703 NA
## 704 NA
## 705 NA
## 706 NA
## 707 NA
## 708 NA
## 709 NA
## 710 NA
## 711 6.4600
## 712 6.5000
## 713 6.5400
## 714 6.5600
## 715 6.5760
## 716 6.5920
## 717 6.6080
## 718 6.6240
## 719 6.6400
## 720 6.6800
## 721 6.7200
## 722 6.7600
## 723 6.8000
## 724 6.8400
## 725 7.2320
## 726 7.2760
## 727 7.2840
## 728 7.3000
## 729 7.3000
## 730 7.3000
## 731 7.3000
## 732 7.3000
## 733 5.5720
## 734 5.6140
## 735 5.6560
## 736 5.6980
## 737 5.7400
## 738 5.7700
## 739 5.8000
## 740 5.8300
## 741 5.8600
## 742 5.8900
## 743 5.9300
## 744 5.9700
## 745 6.0100
## 746 6.0500
## 747 6.0900
## 748 5.9840
## 749 5.9980
## 750 6.0120
## 751 6.0260
## 752 6.0400
## 753 6.0620
## 754 6.0840
## 755 6.1060
## 756 6.1280
## 757 6.1500
## 758 6.1700
## 759 6.1900
## 760 6.2100
## 761 6.2300
## 762 6.2000
## 763 6.2760
## 764 6.3140
## 765 6.4140
## 766 6.4380
## 767 6.4620
## 768 6.4860
## 769 6.5100
## 770 6.5400
## 771 6.5700
## 772 6.6000
## 773 6.6300
## 774 6.6600
## 775 5.8320
## 776 5.8960
## 777 5.9600
## 778 5.9360
## 779 5.9120
## 780 5.8880
## 781 5.8640
## 782 5.8400
## 783 5.9000
## 784 5.9600
## 785 6.0200
## 786 6.1400
## 787 7.0140
## 788 7.0820
## 789 7.1160
## 790 7.1500
## 791 7.1600
## 792 7.1700
## 793 7.1800
## 794 7.1900
## 795 7.2000
## 796 7.2100
## 797 7.2200
## 798 7.2300
## 799 7.2400
## 800 7.2500
## 801 7.1120
## 802 7.1440
## 803 7.1760
## 804 7.2080
## 805 7.2400
## 806 7.2460
## 807 7.2520
## 808 7.2580
## 809 7.2640
## 810 7.2700
## 811 7.2900
## 812 7.3100
## 813 7.3300
## 814 7.3500
## 815 7.3700
## 816 7.1900
## 817 7.2260
## 818 7.2440
## 819 7.2620
## 820 7.2800
## 821 7.2840
## 822 7.2880
## 823 7.2920
## 824 7.2960
## 825 7.3000
## 826 7.3200
## 827 7.3400
## 828 7.3600
## 829 7.3800
## 830 7.4000
## 831 4.5780
## 832 4.7100
## 833 4.7400
## 834 4.7700
## 835 4.8300
## 836 4.8900
## 837 4.9500
## 838 5.0100
## 839 5.0700
## 840 6.4900
## 841 6.6220
## 842 6.6460
## 843 6.6580
## 844 6.7100
## 845 6.7500
## 846 7.3200
## 847 7.3440
## 848 7.3560
## 849 7.3680
## 850 7.3800
## 851 7.3980
## 852 7.4160
## 853 7.4340
## 854 7.4520
## 855 7.4700
## 856 7.4800
## 857 7.4900
## 858 7.5000
## 859 7.5100
## 860 7.5200
## 861 6.3500
## 862 6.3980
## 863 6.4220
## 864 6.4460
## 865 6.4700
## 866 6.5000
## 867 6.5300
## 868 6.5600
## 869 6.5900
## 870 6.6200
## 871 6.6400
## 872 6.6600
## 873 6.6800
## 874 6.7000
## 875 6.7200
## 876 5.8200
## 877 5.8700
## 878 5.9200
## 879 5.9700
## 880 6.0200
## 881 6.0720
## 882 6.1240
## 883 6.1760
## 884 6.2280
## 885 6.2800
## 886 6.3400
## 887 6.4000
## 888 6.4600
## 889 6.5200
## 890 6.5800
## 891 5.0220
## 892 5.1540
## 893 5.2860
## 894 5.4180
## 895 5.5500
## 896 5.6060
## 897 5.6620
## 898 5.7180
## 899 5.7740
## 900 5.8300
## 901 5.8900
## 902 5.9500
## 903 6.0100
## 904 6.0700
## 905 6.1300
## 906 NA
## 907 NA
## 908 NA
## 909 NA
## 910 NA
## 911 NA
## 912 NA
## 913 NA
## 914 NA
## 915 NA
## 916 NA
## 917 NA
## 918 NA
## 919 NA
## 920 6.3960
## 921 6.4440
## 922 6.4600
## 923 6.4900
## 924 6.5200
## 925 6.5500
## 926 6.5800
## 927 6.6100
## 928 6.6300
## 929 6.6500
## 930 6.6900
## 931 5.9980
## 932 6.0260
## 933 6.0540
## 934 6.0820
## 935 6.1100
## 936 6.1520
## 937 6.1940
## 938 6.2360
## 939 6.2780
## 940 6.3200
## 941 6.3500
## 942 6.3800
## 943 6.4100
## 944 6.4400
## 945 6.4700
## 946 5.3920
## 947 5.4440
## 948 5.4960
## 949 5.6300
## 950 5.6600
## 951 5.8300
## 952 5.8700
## 953 5.9100
## 954 5.9500
## 955 6.3160
## 956 6.3520
## 957 6.3880
## 958 6.4240
## 959 6.4860
## 960 6.5120
## 961 6.5380
## 962 6.5640
## 963 6.5900
## 964 6.6200
## 965 6.6500
## 966 6.6800
## 967 6.7100
## 968 6.7400
## 969 6.4600
## 970 6.4720
## 971 6.4960
## 972 6.5080
## 973 6.5200
## 974 6.5280
## 975 6.5360
## 976 6.5440
## 977 6.5520
## 978 6.5600
## 979 6.6100
## 980 6.6600
## 981 6.7100
## 982 6.7600
## 983 4.5740
## 984 4.6600
## 985 4.7300
## 986 4.8700
## 987 4.9140
## 988 4.9960
## 989 5.1600
## 990 5.3280
## 991 5.3700
## 992 5.4500
## 993 5.5300
## 994 5.6100
## 995 5.6900
## 996 6.2660
## 997 6.2300
## 998 6.2300
## 999 6.2300
## 1000 6.2300
## 1001 6.2300
## 1002 6.3140
## 1003 6.3480
## 1004 6.3820
## 1005 6.4160
## 1006 6.4500
## 1007 6.4700
## 1008 6.4900
## 1009 6.5100
## 1010 6.5300
## 1011 6.5500
## 1012 6.6100
## 1013 6.6700
## 1014 6.7300
## 1015 6.7900
## 1016 6.8500
## 1017 7.1440
## 1018 7.1700
## 1019 7.1880
## 1020 7.2060
## 1021 7.2240
## 1022 7.2420
## 1023 7.2600
## 1024 7.2600
## 1025 7.2600
## 1026 7.2600
## 1027 7.2600
## 1028 5.4040
## 1029 5.4920
## 1030 5.6220
## 1031 5.6640
## 1032 5.7060
## 1033 5.7480
## 1034 5.7900
## 1035 5.8300
## 1036 5.8700
## 1037 5.9100
## 1038 5.9500
## 1039 4.4880
## 1040 4.6260
## 1041 4.9020
## 1042 5.1420
## 1043 5.2440
## 1044 5.3460
## 1045 5.4480
## 1046 5.5500
## 1047 5.6200
## 1048 5.6900
## 1049 5.7600
## 1050 5.8300
## 1051 6.4960
## 1052 6.5120
## 1053 6.5280
## 1054 6.5440
## 1055 6.5600
## 1056 6.5760
## 1057 6.5920
## 1058 6.6080
## 1059 6.6240
## 1060 6.6400
## 1061 6.7000
## 1062 6.7200
## 1063 7.0600
## 1064 4.5920
## 1065 4.7160
## 1066 4.7780
## 1067 4.8400
## 1068 4.8760
## 1069 4.9120
## 1070 4.9480
## 1071 4.9840
## 1072 5.0200
## 1073 5.0700
## 1074 5.1200
## 1075 5.1700
## 1076 5.2200
## 1077 7.1380
## 1078 7.1600
## 1079 7.1720
## 1080 7.1840
## 1081 7.1960
## 1082 7.2080
## 1083 7.2200
## 1084 7.2200
## 1085 7.2200
## 1086 7.2200
## 1087 7.2200
## 1088 7.2200
## 1089 5.3660
## 1090 5.3940
## 1091 5.4220
## 1092 5.4500
## 1093 5.4820
## 1094 5.5140
## 1095 5.5460
## 1096 5.5780
## 1097 5.6100
## 1098 5.6400
## 1099 5.6700
## 1100 5.7000
## 1101 5.7300
## 1102 6.4700
## 1103 6.5300
## 1104 6.5800
## 1105 6.6100
## 1106 6.6400
## 1107 6.6700
## 1108 6.7000
## 1109 6.6200
## 1110 6.6320
## 1111 6.6380
## 1112 6.6440
## 1113 6.6500
## 1114 6.6680
## 1115 6.6860
## 1116 6.7040
## 1117 6.7220
## 1118 6.7400
## 1119 6.7700
## 1120 6.8000
## 1121 6.8300
## 1122 6.8600
## 1123 6.8900
## 1124 6.0580
## 1125 6.0760
## 1126 6.0940
## 1127 6.1120
## 1128 6.1300
## 1129 6.1620
## 1130 6.1940
## 1131 6.2260
## 1132 6.2580
## 1133 6.2900
## 1134 6.3600
## 1135 6.4300
## 1136 6.5000
## 1137 6.5700
## 1138 6.6400
## 1139 5.8820
## 1140 5.9280
## 1141 6.0200
## 1142 6.0500
## 1143 6.0800
## 1144 6.1100
## 1145 6.1400
## 1146 6.1700
## 1147 6.1900
## 1148 6.2100
## 1149 6.2300
## 1150 6.2500
## 1151 6.2700
## 1152 6.6200
## 1153 6.6800
## 1154 6.7100
## 1155 6.7260
## 1156 6.7420
## 1157 6.7580
## 1158 6.7740
## 1159 6.7900
## 1160 6.8100
## 1161 6.8300
## 1162 6.8500
## 1163 6.8700
## 1164 6.8900
## 1165 6.3500
## 1166 6.3800
## 1167 6.4100
## 1168 6.4400
## 1169 6.5000
## 1170 6.5300
## 1171 6.5600
## 1172 6.5900
## 1173 6.6200
## 1174 6.6500
## 1175 4.4800
## 1176 4.5500
## 1177 4.6200
## 1178 4.8320
## 1179 5.1200
## 1180 5.3200
## 1181 5.4200
## 1182 5.5200
## 1183 5.7020
## 1184 5.7380
## 1185 5.7740
## 1186 5.8100
## 1187 5.8400
## 1188 5.8700
## 1189 5.9000
## 1190 5.9300
## 1191 5.9600
## 1192 4.9680
## 1193 5.5160
## 1194 5.6200
## 1195 5.6500
## 1196 5.6800
## 1197 5.7100
## 1198 5.7200
## 1199 5.7700
## 1200 5.8200
## 1201 5.8700
## 1202 5.9200
## 1203 5.9400
## 1204 5.9600
## 1205 5.9800
## 1206 6.0000
## 1207 6.0200
## 1208 6.1300
## 1209 6.2400
## 1210 6.3500
## 1211 6.4600
## 1212 7.0400
## 1213 7.0800
## 1214 7.1000
## 1215 7.1400
## 1216 7.1520
## 1217 7.1640
## 1218 7.1760
## 1219 7.1880
## 1220 7.2000
## 1221 7.2100
## 1222 7.2200
## 1223 7.2300
## 1224 7.2400
## 1225 7.2500
## 1226 7.1200
## 1227 7.1400
## 1228 7.1600
## 1229 7.2000
## 1230 7.2120
## 1231 7.2240
## 1232 7.2360
## 1233 7.2480
## 1234 7.2600
## 1235 7.2800
## 1236 7.3000
## 1237 7.3200
## 1238 7.3400
## 1239 7.3600
## 1240 6.4140
## 1241 6.4480
## 1242 6.4820
## 1243 6.5160
## 1244 6.5500
## 1245 6.5720
## 1246 6.5940
## 1247 6.6160
## 1248 6.6380
## 1249 6.6600
## 1250 6.6900
## 1251 6.7200
## 1252 6.7500
## 1253 6.7800
## 1254 4.6360
## 1255 4.7120
## 1256 4.7880
## 1257 4.8640
## 1258 4.9400
## 1259 4.9920
## 1260 5.0440
## 1261 5.0960
## 1262 5.1480
## 1263 5.2000
## 1264 5.2500
## 1265 5.3000
## 1266 5.3500
## 1267 5.4000
## 1268 4.4120
## 1269 4.4640
## 1270 4.5160
## 1271 4.5680
## 1272 4.6200
## 1273 4.7120
## 1274 4.7580
## 1275 4.8500
## 1276 4.8900
## 1277 4.9300
## 1278 4.9700
## 1279 5.0100
## 1280 5.0500
## 1281 NA
## 1282 NA
## 1283 NA
## 1284 NA
## 1285 NA
## 1286 NA
## 1287 NA
## 1288 6.4095
## 1289 6.4349
## 1290 6.4502
## 1291 6.4661
## 1292 6.4811
## 1293 6.4942
## 1294 6.5053
## 1295 6.5145
## 1296 6.5225
## 1297 6.5303
## 1298 6.5389
## 1299 6.5474
## 1300 6.5560
## 1301 7.1320
## 1302 7.1560
## 1303 7.2240
## 1304 7.2680
## 1305 7.2900
## 1306 7.3000
## 1307 7.3100
## 1308 7.3200
## 1309 7.3300
## 1310 7.3400
## 1311 6.5500
## 1312 5.4200
## 1313 5.5000
## 1314 5.5400
## 1315 5.5800
## 1316 5.6200
## 1317 5.6420
## 1318 5.6640
## 1319 5.6860
## 1320 5.7080
## 1321 5.7300
## 1322 5.7700
## 1323 5.8100
## 1324 5.8500
## 1325 5.8900
## 1326 6.1780
## 1327 6.1897
## 1328 6.2015
## 1329 6.2132
## 1330 6.2250
## 1331 NA
## 1332 NA
## 1333 NA
## 1334 NA
## 1335 NA
## 1336 NA
## 1337 NA
## 1338 NA
## 1339 NA
## 1340 6.7900
## 1341 6.8000
## 1342 6.8100
## 1343 6.8200
## 1344 6.8300
## 1345 6.8500
## 1346 6.8700
## 1347 6.8900
## 1348 6.9100
## 1349 6.9300
## 1350 6.9400
## 1351 6.9500
## 1352 6.9600
## 1353 6.9700
## 1354 6.3620
## 1355 6.3840
## 1356 6.4060
## 1357 6.4280
## 1358 6.4500
## 1359 6.4620
## 1360 6.4740
## 1361 6.4860
## 1362 6.4980
## 1363 6.5100
## 1364 6.5300
## 1365 6.5500
## 1366 6.5900
## 1367 6.5340
## 1368 6.5580
## 1369 6.5820
## 1370 6.6060
## 1371 6.6300
## 1372 6.6480
## 1373 6.6660
## 1374 6.6840
## 1375 6.7020
## 1376 6.7200
## 1377 6.7500
## 1378 6.7800
## 1379 6.8100
## 1380 6.8400
## 1381 5.9800
## 1382 6.0000
## 1383 6.0200
## 1384 6.0400
## 1385 6.0600
## 1386 6.0800
## 1387 6.1000
## 1388 6.1200
## 1389 6.1400
## 1390 6.1600
## 1391 6.1700
## 1392 6.1800
## 1393 6.1900
## 1394 6.2000
## 1395 6.2100
## 1396 6.6300
## 1397 6.6700
## 1398 6.7100
## 1399 6.7300
## 1400 6.7460
## 1401 6.7620
## 1402 6.7780
## 1403 6.7940
## 1404 6.8100
## 1405 6.8500
## 1406 6.8900
## 1407 6.9300
## 1408 6.9700
## 1409 7.0100
## 1410 6.9840
## 1411 7.0320
## 1412 7.0800
## 1413 7.1000
## 1414 7.1200
## 1415 7.1400
## 1416 7.1600
## 1417 7.1800
## 1418 7.2000
## 1419 7.2200
## 1420 7.2400
## 1421 7.2600
## 1422 7.2800
## 1423 6.6580
## 1424 6.6700
## 1425 6.7020
## 1426 6.7340
## 1427 6.8300
## 1428 6.4000
## 1429 6.4480
## 1430 6.4960
## 1431 6.5200
## 1432 6.5420
## 1433 6.5640
## 1434 6.5860
## 1435 6.6080
## 1436 6.6300
## 1437 6.6600
## 1438 6.6900
## 1439 6.7200
## 1440 6.7500
## 1441 5.8680
## 1442 5.9260
## 1443 5.9840
## 1444 6.0420
## 1445 6.1000
## 1446 6.1420
## 1447 6.1840
## 1448 6.2260
## 1449 6.2680
## 1450 6.3100
## 1451 6.3500
## 1452 6.3900
## 1453 6.4300
## 1454 6.4700
## 1455 6.5100
## 1456 4.9880
## 1457 5.3040
## 1458 5.4620
## 1459 5.6820
## 1460 5.7440
## 1461 5.8060
## 1462 5.8680
## 1463 5.9300
## 1464 5.9900
## 1465 6.0500
## 1466 6.1100
## 1467 6.1700
## 1468 6.3500
## 1469 6.3860
## 1470 6.4040
## 1471 6.4220
## 1472 6.4400
## 1473 6.4600
## 1474 6.4800
## 1475 6.5000
## 1476 6.5200
## 1477 6.5400
## 1478 6.5700
## 1479 6.6000
## 1480 6.6300
## 1481 6.6600
## 1482 6.6900
## 1483 5.3380
## 1484 5.4060
## 1485 5.4740
## 1486 5.5420
## 1487 5.6100
## 1488 5.6560
## 1489 5.7020
## 1490 5.7480
## 1491 5.7940
## 1492 5.8400
## 1493 5.8800
## 1494 5.9200
## 1495 5.9600
## 1496 6.0000
## 1497 6.5600
## 1498 6.6000
## 1499 6.6200
## 1500 6.6360
## 1501 6.6520
## 1502 6.6680
## 1503 6.6840
## 1504 6.7000
## 1505 6.7400
## 1506 6.7800
## 1507 6.8200
## 1508 6.8600
## 1509 6.9000
## 1510 4.0300
## 1511 4.1200
## 1512 4.2100
## 1513 4.3900
## 1514 4.4320
## 1515 4.5160
## 1516 4.5580
## 1517 4.6000
## 1518 4.7600
## 1519 4.9200
## 1520 5.0800
## 1521 5.2400
## 1522 7.3600
## 1523 7.3900
## 1524 7.4200
## 1525 7.4500
## 1526 7.4800
## 1527 7.5020
## 1528 7.5460
## 1529 7.5680
## 1530 7.5900
## 1531 7.6200
## 1532 7.6500
## 1533 7.6800
## 1534 7.7100
## 1535 6.6000
## 1536 6.6800
## 1537 6.7040
## 1538 6.7280
## 1539 6.7520
## 1540 6.7760
## 1541 6.8000
## 1542 6.8300
## 1543 6.8600
## 1544 6.8900
## 1545 6.9200
## 1546 6.9500
## 1547 6.8000
## 1548 6.8900
## 1549 6.9200
## 1550 6.9400
## 1551 6.9600
## 1552 6.9800
## 1553 7.0000
## 1554 7.0200
## 1555 7.0500
## 1556 7.0800
## 1557 7.1100
## 1558 7.1400
## 1559 7.1700
## 1560 4.9600
## 1561 5.0100
## 1562 5.0000
## 1563 NA
## 1564 NA
## 1565 NA
## 1566 NA
## 1567 4.8020
## 1568 4.8640
## 1569 4.9260
## 1570 4.9880
## 1571 5.0500
## 1572 5.1460
## 1573 5.2420
## 1574 5.3380
## 1575 5.4340
## 1576 5.5300
## 1577 5.5700
## 1578 5.6100
## 1579 5.6500
## 1580 5.6900
## 1581 5.7300
## 1582 7.0200
## 1583 7.0500
## 1584 7.0800
## 1585 7.1100
## 1586 7.1400
## 1587 7.1660
## 1588 7.1920
## 1589 7.2180
## 1590 7.2440
## 1591 7.2700
## 1592 7.3000
## 1593 7.3300
## 1594 7.3600
## 1595 7.3900
## 1596 7.4200
## 1597 4.9840
## 1598 5.0200
## 1599 5.0600
## 1600 5.1000
## 1601 7.1500
## 1602 7.2060
## 1603 7.2340
## 1604 7.2620
## 1605 7.2900
## 1606 7.3020
## 1607 7.3140
## 1608 7.3260
## 1609 7.3380
## 1610 7.3500
## 1611 7.3800
## 1612 7.4100
## 1613 7.4400
## 1614 7.4700
## 1615 7.5000
## 1616 6.5780
## 1617 6.5860
## 1618 6.5940
## 1619 6.6020
## 1620 6.6100
## 1621 6.6200
## 1622 6.6300
## 1623 6.6400
## 1624 6.6500
## 1625 6.6600
## 1626 6.7000
## 1627 6.7200
## 1628 6.7400
## 1629 5.3700
## 1630 5.4000
## 1631 5.4280
## 1632 5.4560
## 1633 5.5120
## 1634 6.2240
## 1635 4.0808
## 1636 5.0353
## 1637 5.1270
## 1638 7.1200
## 1639 7.1480
## 1640 7.1620
## 1641 7.1760
## 1642 7.1900
## 1643 7.1980
## 1644 7.2060
## 1645 7.2140
## 1646 7.2220
## 1647 7.2300
## 1648 7.2400
## 1649 7.2500
## 1650 7.2600
## 1651 7.2700
## 1652 7.2800
## 1653 7.1540
## 1654 7.2260
## 1655 7.2780
## 1656 7.3060
## 1657 7.3200
## 1658 7.3500
## 1659 7.3800
## 1660 7.4100
## 1661 7.4400
## 1662 7.4700
## 1663 6.3900
## 1664 6.4000
## 1665 6.4100
## 1666 6.2320
## 1667 6.0540
## 1668 5.8760
## 1669 5.5200
## 1670 6.8680
## 1671 6.9140
## 1672 6.9600
## 1673 NA
## 1674 NA
## 1675 NA
## 1676 NA
## 1677 NA
## 1678 NA
## 1679 NA
## 1680 NA
## 1681 NA
## 1682 NA
## 1683 6.0640
## 1684 6.1080
## 1685 6.1520
## 1686 6.1960
## 1687 6.2400
## 1688 6.2560
## 1689 6.2720
## 1690 6.2880
## 1691 6.3040
## 1692 6.3200
## 1693 6.3500
## 1694 6.3800
## 1695 6.4100
## 1696 6.4400
## 1697 6.4700
## 1698 4.8700
## 1699 4.9600
## 1700 5.0500
## 1701 5.1400
## 1702 5.2300
## 1703 5.3040
## 1704 5.3780
## 1705 5.4520
## 1706 5.5260
## 1707 5.6000
## 1708 5.6500
## 1709 5.7000
## 1710 5.7500
## 1711 5.8000
## 1712 5.8500
## 1713 6.4140
## 1714 6.4480
## 1715 6.4820
## 1716 6.5160
## 1717 6.5500
## 1718 6.5720
## 1719 6.5940
## 1720 6.6160
## 1721 6.6380
## 1722 6.6600
## 1723 6.6800
## 1724 6.7000
## 1725 6.7200
## 1726 6.7400
## 1727 6.7600
## 1728 4.9260
## 1729 5.0180
## 1730 5.1580
## 1731 5.3020
## 1732 5.3500
## 1733 5.3900
## 1734 5.4300
## 1735 5.4700
## 1736 5.5100
## 1737 6.1760
## 1738 6.2080
## 1739 6.2540
## 1740 6.2820
## 1741 6.3500
## 1742 6.4960
## 1743 6.5100
## 1744 6.5280
## 1745 6.5460
## 1746 6.5640
## 1747 6.5820
## 1748 6.6000
## 1749 6.6300
## 1750 6.6600
## 1751 6.6900
## 1752 6.7200
## 1753 6.7500
## 1754 6.2600
## 1755 6.3320
## 1756 6.3680
## 1757 6.4040
## 1758 6.4400
## 1759 6.4640
## 1760 6.4880
## 1761 6.5120
## 1762 6.5360
## 1763 6.5600
## 1764 6.6000
## 1765 6.6400
## 1766 6.6800
## 1767 6.7200
## 1768 6.7600
## 1769 5.9440
## 1770 6.0040
## 1771 6.0280
## 1772 6.0520
## 1773 6.0760
## 1774 6.1000
## 1775 6.1400
## 1776 6.1800
## 1777 6.2200
## 1778 6.2600
## 1779 4.6480
## 1780 4.7460
## 1781 4.8440
## 1782 4.9420
## 1783 5.0400
## 1784 5.1220
## 1785 5.2040
## 1786 5.2860
## 1787 5.3680
## 1788 5.4500
## 1789 5.4900
## 1790 5.5300
## 1791 5.5700
## 1792 5.6100
## 1793 5.6500
## 1794 6.0120
## 1795 6.0640
## 1796 6.1160
## 1797 6.1680
## 1798 6.2200
## 1799 6.2500
## 1800 6.2800
## 1801 6.3100
## 1802 6.3400
## 1803 6.3700
## 1804 6.4000
## 1805 6.4300
## 1806 6.4600
## 1807 6.4900
## 1808 6.5200
## 1809 6.5920
## 1810 6.6280
## 1811 6.6400
## 1812 6.6420
## 1813 6.6440
## 1814 6.6460
## 1815 6.6480
## 1816 6.6500
## 1817 6.6700
## 1818 6.6900
## 1819 6.7100
## 1820 6.7300
## 1821 6.7500
## 1822 6.9900
## 1823 7.0460
## 1824 7.0740
## 1825 7.1020
## 1826 7.1300
## 1827 7.1380
## 1828 7.1460
## 1829 7.1540
## 1830 7.1620
## 1831 7.1700
## 1832 7.1900
## 1833 7.2100
## 1834 7.2300
## 1835 7.2500
## 1836 7.2700
## 1837 6.8060
## 1838 6.8220
## 1839 6.8380
## 1840 6.8540
## 1841 6.8700
## 1842 6.8680
## 1843 6.8660
## 1844 6.8640
## 1845 6.8620
## 1846 6.8600
## 1847 6.8500
## 1848 6.8400
## 1849 6.8300
## 1850 6.8200
## 1851 6.8100
## 1852 6.7440
## 1853 6.7580
## 1854 6.7720
## 1855 6.7860
## 1856 6.8000
## 1857 6.8140
## 1858 6.8280
## 1859 6.8420
## 1860 6.8560
## 1861 6.8700
## 1862 6.8800
## 1863 6.8900
## 1864 6.9000
## 1865 6.9100
## 1866 6.9200
## 1867 6.1440
## 1868 6.2320
## 1869 6.2760
## 1870 6.3200
## 1871 6.3400
## 1872 6.3600
## 1873 6.3800
## 1874 6.4000
## 1875 6.4200
## 1876 6.4500
## 1877 6.4800
## 1878 6.5100
## 1879 6.5400
## 1880 6.5400
## 1881 6.5460
## 1882 6.5580
## 1883 6.5640
## 1884 6.5700
## 1885 6.5740
## 1886 6.5780
## 1887 6.5820
## 1888 6.5860
## 1889 6.5900
## 1890 6.6100
## 1891 6.6300
## 1892 6.6500
## 1893 6.6700
## 1894 6.6900
## 1895 6.5860
## 1896 6.6020
## 1897 6.6180
## 1898 6.6340
## 1899 6.6500
## 1900 6.6660
## 1901 6.6820
## 1902 6.6980
## 1903 6.7140
## 1904 6.7300
## 1905 6.7500
## 1906 6.7700
## 1907 6.7900
## 1908 6.8100
## 1909 5.3400
## 1910 5.4000
## 1911 5.4300
## 1912 5.4300
## 1913 5.4300
## 1914 5.4300
## 1915 5.4300
## 1916 5.4300
## 1917 5.5100
## 1918 5.5900
## 1919 5.6700
## 1920 5.7500
## 1921 4.4260
## 1922 4.5720
## 1923 4.7180
## 1924 4.8640
## 1925 5.0840
## 1926 5.1580
## 1927 5.2320
## 1928 5.3060
## 1929 5.3800
## 1930 5.4300
## 1931 5.4800
## 1932 5.5300
## 1933 5.5800
## 1934 5.6300
## 1935 4.1580
## 1936 4.2860
## 1937 4.4140
## 1938 4.5420
## 1939 4.6700
## 1940 4.8120
## 1941 4.9540
## 1942 5.0960
## 1943 5.2380
## 1944 5.3800
## 1945 5.4400
## 1946 5.5000
## 1947 5.5600
## 1948 5.6200
## 1949 5.6800df %>% relocate(Positive.affect, .before = Healthy.life.expectancy.at.birth)## ï..Country.name year Life.Ladder Log.GDP.per.capita
## 1 Afghanistan 2008 3.724 7.370
## 2 Afghanistan 2009 4.402 7.540
## 3 Afghanistan 2010 4.758 7.647
## 4 Afghanistan 2011 3.832 7.620
## 5 Afghanistan 2012 3.783 7.705
## 6 Afghanistan 2013 3.572 7.725
## 7 Afghanistan 2014 3.131 7.718
## 8 Afghanistan 2015 3.983 7.702
## 9 Afghanistan 2016 4.220 7.697
## 10 Afghanistan 2017 2.662 7.697
## 11 Afghanistan 2018 2.694 7.692
## 12 Afghanistan 2019 2.375 7.697
## 13 Albania 2007 4.634 9.142
## 14 Albania 2009 5.485 9.262
## 15 Albania 2010 5.269 9.303
## 16 Albania 2011 5.867 9.331
## 17 Albania 2012 5.510 9.347
## 18 Albania 2013 4.551 9.359
## 19 Albania 2014 4.814 9.378
## 20 Albania 2015 4.607 9.403
## 21 Albania 2016 4.511 9.437
## 22 Albania 2017 4.640 9.476
## 23 Albania 2018 5.004 9.518
## 24 Albania 2019 4.995 9.544
## 25 Albania 2020 5.365 9.497
## 26 Algeria 2010 5.464 9.287
## 27 Algeria 2011 5.317 9.297
## 28 Algeria 2012 5.605 9.311
## 29 Algeria 2014 6.355 9.335
## 30 Algeria 2016 5.341 9.362
## 31 Algeria 2017 5.249 9.354
## 32 Algeria 2018 5.043 9.348
## 33 Algeria 2019 4.745 9.337
## 34 Angola 2011 5.589 8.946
## 35 Angola 2012 4.360 8.992
## 36 Angola 2013 3.937 9.005
## 37 Angola 2014 3.795 9.017
## 38 Argentina 2006 6.313 9.942
## 39 Argentina 2007 6.073 10.018
## 40 Argentina 2008 5.961 10.048
## 41 Argentina 2009 6.424 9.977
## 42 Argentina 2010 6.441 10.066
## 43 Argentina 2011 6.776 10.112
## 44 Argentina 2012 6.468 10.091
## 45 Argentina 2013 6.582 10.103
## 46 Argentina 2014 6.671 10.067
## 47 Argentina 2015 6.697 10.083
## 48 Argentina 2016 6.427 10.051
## 49 Argentina 2017 6.039 10.067
## 50 Argentina 2018 5.793 10.032
## 51 Argentina 2019 6.086 10.000
## 52 Argentina 2020 5.901 9.850
## 53 Armenia 2006 4.289 9.044
## 54 Armenia 2007 4.882 9.181
## 55 Armenia 2008 4.652 9.256
## 56 Armenia 2009 4.178 9.111
## 57 Armenia 2010 4.368 9.136
## 58 Armenia 2011 4.260 9.182
## 59 Armenia 2012 4.320 9.249
## 60 Armenia 2013 4.277 9.277
## 61 Armenia 2014 4.453 9.307
## 62 Armenia 2015 4.348 9.334
## 63 Armenia 2016 4.325 9.333
## 64 Armenia 2017 4.288 9.402
## 65 Armenia 2018 5.062 9.451
## 66 Armenia 2019 5.488 9.522
## 67 Australia 2005 7.341 10.659
## 68 Australia 2007 7.285 10.703
## 69 Australia 2008 7.254 10.719
## 70 Australia 2010 7.450 10.722
## 71 Australia 2011 7.406 10.733
## 72 Australia 2012 7.196 10.754
## 73 Australia 2013 7.364 10.762
## 74 Australia 2014 7.289 10.772
## 75 Australia 2015 7.309 10.779
## 76 Australia 2016 7.250 10.791
## 77 Australia 2017 7.257 10.798
## 78 Australia 2018 7.177 10.811
## 79 Australia 2019 7.234 10.815
## 80 Australia 2020 7.137 10.760
## 81 Austria 2006 7.122 10.842
## 82 Austria 2008 7.181 10.887
## 83 Austria 2010 7.303 10.861
## 84 Austria 2011 7.471 10.887
## 85 Austria 2012 7.401 10.889
## 86 Austria 2013 7.499 10.883
## 87 Austria 2014 6.950 10.882
## 88 Austria 2015 7.076 10.881
## 89 Austria 2016 7.048 10.891
## 90 Austria 2017 7.294 10.908
## 91 Austria 2018 7.396 10.928
## 92 Austria 2019 7.195 10.939
## 93 Austria 2020 7.213 10.851
## 94 Azerbaijan 2006 4.728 9.170
## 95 Azerbaijan 2007 4.568 9.386
## 96 Azerbaijan 2008 4.817 9.465
## 97 Azerbaijan 2009 4.574 9.534
## 98 Azerbaijan 2010 4.219 9.569
## 99 Azerbaijan 2011 4.680 9.540
## 100 Azerbaijan 2012 4.911 9.549
## 101 Azerbaijan 2013 5.481 9.592
## 102 Azerbaijan 2014 5.252 9.607
## 103 Azerbaijan 2015 5.147 9.606
## 104 Azerbaijan 2016 5.304 9.564
## 105 Azerbaijan 2017 5.152 9.555
## 106 Azerbaijan 2018 5.168 9.562
## 107 Azerbaijan 2019 5.173 9.575
## 108 Bahrain 2009 5.701 10.709
## 109 Bahrain 2010 5.937 10.706
## 110 Bahrain 2011 4.824 10.696
## 111 Bahrain 2012 5.027 10.716
## 112 Bahrain 2013 6.690 10.757
## 113 Bahrain 2014 6.165 10.783
## 114 Bahrain 2015 6.007 10.785
## 115 Bahrain 2016 6.170 10.781
## 116 Bahrain 2017 6.227 10.771
## 117 Bahrain 2019 7.098 10.715
## 118 Bahrain 2020 6.173 10.620
## 119 Bangladesh 2006 4.319 7.783
## 120 Bangladesh 2007 4.607 7.839
## 121 Bangladesh 2008 5.052 7.886
## 122 Bangladesh 2009 5.083 7.924
## 123 Bangladesh 2010 4.858 7.967
## 124 Bangladesh 2011 4.986 8.018
## 125 Bangladesh 2012 4.724 8.070
## 126 Bangladesh 2013 4.660 8.116
## 127 Bangladesh 2014 4.636 8.164
## 128 Bangladesh 2015 4.633 8.216
## 129 Bangladesh 2016 4.556 8.274
## 130 Bangladesh 2017 4.310 8.334
## 131 Bangladesh 2018 4.499 8.399
## 132 Bangladesh 2019 5.114 8.467
## 133 Bangladesh 2020 5.280 8.472
## 134 Belarus 2006 5.658 9.489
## 135 Belarus 2007 5.617 9.576
## 136 Belarus 2008 5.463 9.677
## 137 Belarus 2009 5.564 9.681
## 138 Belarus 2010 5.526 9.758
## 139 Belarus 2011 5.225 9.812
## 140 Belarus 2012 5.749 9.830
## 141 Belarus 2013 5.876 9.839
## 142 Belarus 2014 5.812 9.856
## 143 Belarus 2015 5.719 9.815
## 144 Belarus 2016 5.178 9.788
## 145 Belarus 2017 5.553 9.814
## 146 Belarus 2018 5.234 9.846
## 147 Belarus 2019 5.821 9.860
## 148 Belgium 2005 7.262 10.745
## 149 Belgium 2007 7.219 10.792
## 150 Belgium 2008 7.117 10.789
## 151 Belgium 2010 6.854 10.779
## 152 Belgium 2011 7.111 10.783
## 153 Belgium 2012 6.935 10.784
## 154 Belgium 2013 7.104 10.784
## 155 Belgium 2014 6.855 10.795
## 156 Belgium 2015 6.904 10.810
## 157 Belgium 2016 6.949 10.819
## 158 Belgium 2017 6.928 10.834
## 159 Belgium 2018 6.892 10.844
## 160 Belgium 2019 6.772 10.853
## 161 Belgium 2020 6.839 10.771
## 162 Belize 2007 6.451 8.892
## 163 Belize 2014 5.956 8.883
## 164 Benin 2006 3.330 7.866
## 165 Benin 2008 3.667 7.915
## 166 Benin 2011 3.870 7.904
## 167 Benin 2012 3.193 7.923
## 168 Benin 2013 3.479 7.964
## 169 Benin 2014 3.347 7.998
## 170 Benin 2015 3.625 7.988
## 171 Benin 2016 4.007 7.993
## 172 Benin 2017 4.853 8.021
## 173 Benin 2018 5.820 8.059
## 174 Benin 2019 4.976 8.098
## 175 Benin 2020 4.408 8.102
## 176 Bhutan 2013 5.569 9.123
## 177 Bhutan 2014 4.939 9.167
## 178 Bhutan 2015 5.082 9.219
## 179 Bolivia 2006 5.374 8.686
## 180 Bolivia 2007 5.628 8.714
## 181 Bolivia 2008 5.298 8.756
## 182 Bolivia 2009 6.086 8.773
## 183 Bolivia 2010 5.781 8.797
## 184 Bolivia 2011 5.779 8.831
## 185 Bolivia 2012 6.019 8.865
## 186 Bolivia 2013 5.767 8.915
## 187 Bolivia 2014 5.865 8.953
## 188 Bolivia 2015 5.834 8.985
## 189 Bolivia 2016 5.770 9.012
## 190 Bolivia 2017 5.651 9.039
## 191 Bolivia 2018 5.916 9.066
## 192 Bolivia 2019 5.674 9.074
## 193 Bolivia 2020 5.559 8.998
## 194 Bosnia and Herzegovina 2007 4.900 9.267
## 195 Bosnia and Herzegovina 2009 4.963 9.296
## 196 Bosnia and Herzegovina 2010 4.669 9.312
## 197 Bosnia and Herzegovina 2011 4.995 9.333
## 198 Bosnia and Herzegovina 2012 4.773 9.342
## 199 Bosnia and Herzegovina 2013 5.124 9.382
## 200 Bosnia and Herzegovina 2014 5.249 9.411
## 201 Bosnia and Herzegovina 2015 5.117 9.457
## 202 Bosnia and Herzegovina 2016 5.181 9.500
## 203 Bosnia and Herzegovina 2017 5.090 9.532
## 204 Bosnia and Herzegovina 2018 5.887 9.576
## 205 Bosnia and Herzegovina 2019 6.016 9.609
## 206 Bosnia and Herzegovina 2020 5.516 9.583
## 207 Botswana 2006 4.739 9.492
## 208 Botswana 2008 5.451 9.590
## 209 Botswana 2010 3.553 9.556
## 210 Botswana 2011 3.520 9.600
## 211 Botswana 2012 4.836 9.632
## 212 Botswana 2013 4.128 9.728
## 213 Botswana 2014 4.031 9.756
## 214 Botswana 2015 3.762 9.724
## 215 Botswana 2016 3.499 9.748
## 216 Botswana 2017 3.505 9.756
## 217 Botswana 2018 3.461 9.778
## 218 Botswana 2019 3.471 9.785
## 219 Brazil 2005 6.637 9.438
## 220 Brazil 2007 6.321 9.515
## 221 Brazil 2008 6.691 9.555
## 222 Brazil 2009 7.001 9.544
## 223 Brazil 2010 6.837 9.607
## 224 Brazil 2011 7.038 9.637
## 225 Brazil 2012 6.660 9.647
## 226 Brazil 2013 7.140 9.668
## 227 Brazil 2014 6.981 9.664
## 228 Brazil 2015 6.547 9.620
## 229 Brazil 2016 6.375 9.578
## 230 Brazil 2017 6.333 9.583
## 231 Brazil 2018 6.191 9.589
## 232 Brazil 2019 6.451 9.592
## 233 Brazil 2020 6.110 9.522
## 234 Bulgaria 2007 3.844 9.715
## 235 Bulgaria 2010 3.912 9.765
## 236 Bulgaria 2011 3.875 9.795
## 237 Bulgaria 2012 4.222 9.804
## 238 Bulgaria 2013 3.993 9.813
## 239 Bulgaria 2014 4.438 9.838
## 240 Bulgaria 2015 4.865 9.883
## 241 Bulgaria 2016 4.838 9.928
## 242 Bulgaria 2017 5.097 9.969
## 243 Bulgaria 2018 5.099 10.007
## 244 Bulgaria 2019 5.108 10.047
## 245 Bulgaria 2020 5.598 9.991
## 246 Burkina Faso 2006 3.801 7.367
## 247 Burkina Faso 2007 4.017 7.377
## 248 Burkina Faso 2008 3.846 7.403
## 249 Burkina Faso 2010 4.036 7.453
## 250 Burkina Faso 2011 4.785 7.487
## 251 Burkina Faso 2012 3.955 7.520
## 252 Burkina Faso 2013 3.326 7.546
## 253 Burkina Faso 2014 3.481 7.559
## 254 Burkina Faso 2015 4.419 7.568
## 255 Burkina Faso 2016 4.206 7.596
## 256 Burkina Faso 2017 4.647 7.627
## 257 Burkina Faso 2018 4.927 7.665
## 258 Burkina Faso 2019 4.741 7.691
## 259 Burundi 2008 3.563 6.719
## 260 Burundi 2009 3.792 6.723
## 261 Burundi 2011 3.706 6.748
## 262 Burundi 2014 2.905 6.787
## 263 Burundi 2018 3.775 6.635
## 264 Cambodia 2006 3.569 7.746
## 265 Cambodia 2007 4.156 7.829
## 266 Cambodia 2008 4.462 7.879
## 267 Cambodia 2009 4.111 7.865
## 268 Cambodia 2010 4.141 7.907
## 269 Cambodia 2011 4.161 7.960
## 270 Cambodia 2012 3.899 8.014
## 271 Cambodia 2013 3.674 8.068
## 272 Cambodia 2014 3.883 8.121
## 273 Cambodia 2015 4.162 8.173
## 274 Cambodia 2016 4.461 8.225
## 275 Cambodia 2017 4.586 8.276
## 276 Cambodia 2018 5.122 8.333
## 277 Cambodia 2019 4.998 8.387
## 278 Cambodia 2020 4.377 8.362
## 279 Cameroon 2006 3.851 8.007
## 280 Cameroon 2007 4.350 8.028
## 281 Cameroon 2008 4.292 8.034
## 282 Cameroon 2009 4.741 8.029
## 283 Cameroon 2010 4.554 8.035
## 284 Cameroon 2011 4.434 8.048
## 285 Cameroon 2012 4.245 8.065
## 286 Cameroon 2013 4.271 8.090
## 287 Cameroon 2014 4.240 8.120
## 288 Cameroon 2015 5.038 8.149
## 289 Cameroon 2016 4.816 8.167
## 290 Cameroon 2017 5.074 8.176
## 291 Cameroon 2018 5.251 8.190
## 292 Cameroon 2019 4.937 8.203
## 293 Cameroon 2020 5.241 8.175
## 294 Canada 2005 7.418 10.652
## 295 Canada 2007 7.482 10.739
## 296 Canada 2008 7.486 10.738
## 297 Canada 2009 7.488 10.697
## 298 Canada 2010 7.650 10.717
## 299 Canada 2011 7.426 10.738
## 300 Canada 2012 7.415 10.744
## 301 Canada 2013 7.594 10.757
## 302 Canada 2014 7.304 10.775
## 303 Canada 2015 7.413 10.774
## 304 Canada 2016 7.245 10.773
## 305 Canada 2017 7.415 10.792
## 306 Canada 2018 7.175 10.798
## 307 Canada 2019 7.109 10.800
## 308 Canada 2020 7.025 10.730
## 309 Central African Republic 2007 4.160 6.987
## 310 Central African Republic 2010 3.568 7.091
## 311 Central African Republic 2011 3.678 7.125
## 312 Central African Republic 2016 2.693 6.785
## 313 Central African Republic 2017 3.476 6.817
## 314 Chad 2006 3.435 7.360
## 315 Chad 2007 4.141 7.359
## 316 Chad 2008 4.632 7.356
## 317 Chad 2009 3.639 7.364
## 318 Chad 2010 3.743 7.457
## 319 Chad 2011 4.393 7.425
## 320 Chad 2012 4.033 7.476
## 321 Chad 2013 3.508 7.498
## 322 Chad 2014 3.460 7.532
## 323 Chad 2015 4.323 7.527
## 324 Chad 2016 4.029 7.431
## 325 Chad 2017 4.559 7.370
## 326 Chad 2018 4.486 7.363
## 327 Chad 2019 4.251 7.365
## 328 Chile 2006 6.063 9.850
## 329 Chile 2007 5.698 9.887
## 330 Chile 2008 5.789 9.911
## 331 Chile 2009 6.494 9.885
## 332 Chile 2010 6.636 9.931
## 333 Chile 2011 6.526 9.980
## 334 Chile 2012 6.599 10.023
## 335 Chile 2013 6.740 10.053
## 336 Chile 2014 6.844 10.059
## 337 Chile 2015 6.533 10.070
## 338 Chile 2016 6.579 10.074
## 339 Chile 2017 6.320 10.072
## 340 Chile 2018 6.436 10.097
## 341 Chile 2019 5.942 10.095
## 342 Chile 2020 6.151 10.020
## 343 China 2006 4.560 8.696
## 344 China 2007 4.863 8.824
## 345 China 2008 4.846 8.911
## 346 China 2009 4.454 8.996
## 347 China 2010 4.653 9.092
## 348 China 2011 5.037 9.179
## 349 China 2012 5.095 9.249
## 350 China 2013 5.241 9.319
## 351 China 2014 5.196 9.386
## 352 China 2015 5.304 9.449
## 353 China 2016 5.325 9.510
## 354 China 2017 5.099 9.571
## 355 China 2018 5.131 9.632
## 356 China 2019 5.144 9.688
## 357 China 2020 5.771 9.702
## 358 Colombia 2006 6.025 9.277
## 359 Colombia 2007 6.138 9.330
## 360 Colombia 2008 6.168 9.351
## 361 Colombia 2009 6.272 9.351
## 362 Colombia 2010 6.408 9.384
## 363 Colombia 2011 6.464 9.442
## 364 Colombia 2012 6.375 9.471
## 365 Colombia 2013 6.607 9.512
## 366 Colombia 2014 6.449 9.546
## 367 Colombia 2015 6.388 9.564
## 368 Colombia 2016 6.234 9.571
## 369 Colombia 2017 6.157 9.569
## 370 Colombia 2018 5.984 9.579
## 371 Colombia 2019 6.350 9.598
## 372 Colombia 2020 5.709 9.495
## 373 Comoros 2009 3.476 7.952
## 374 Comoros 2010 3.812 7.965
## 375 Comoros 2011 3.838 7.981
## 376 Comoros 2012 3.956 7.988
## 377 Comoros 2018 3.973 8.028
## 378 Comoros 2019 4.609 8.033
## 379 Congo (Brazzaville) 2008 3.820 8.082
## 380 Congo (Brazzaville) 2011 4.510 8.180
## 381 Congo (Brazzaville) 2012 3.919 8.192
## 382 Congo (Brazzaville) 2013 3.955 8.201
## 383 Congo (Brazzaville) 2014 4.056 8.242
## 384 Congo (Brazzaville) 2015 4.691 8.243
## 385 Congo (Brazzaville) 2016 4.119 8.190
## 386 Congo (Brazzaville) 2017 4.884 8.146
## 387 Congo (Brazzaville) 2018 5.490 8.136
## 388 Congo (Brazzaville) 2019 5.213 8.101
## 389 Congo (Kinshasa) 2009 3.984 6.728
## 390 Congo (Kinshasa) 2011 4.517 6.797
## 391 Congo (Kinshasa) 2012 4.639 6.832
## 392 Congo (Kinshasa) 2013 4.497 6.880
## 393 Congo (Kinshasa) 2014 4.414 6.937
## 394 Congo (Kinshasa) 2015 3.903 6.971
## 395 Congo (Kinshasa) 2016 4.522 6.962
## 396 Congo (Kinshasa) 2017 4.311 6.966
## 397 Costa Rica 2006 7.082 9.565
## 398 Costa Rica 2007 7.432 9.630
## 399 Costa Rica 2008 6.851 9.662
## 400 Costa Rica 2009 7.615 9.639
## 401 Costa Rica 2010 7.271 9.675
## 402 Costa Rica 2011 7.229 9.705
## 403 Costa Rica 2012 7.272 9.740
## 404 Costa Rica 2013 7.158 9.751
## 405 Costa Rica 2014 7.247 9.775
## 406 Costa Rica 2015 6.854 9.799
## 407 Costa Rica 2016 7.136 9.830
## 408 Costa Rica 2017 7.225 9.858
## 409 Costa Rica 2018 7.141 9.874
## 410 Costa Rica 2019 6.998 9.885
## 411 Croatia 2007 5.821 10.162
## 412 Croatia 2009 5.433 10.104
## 413 Croatia 2010 5.596 10.091
## 414 Croatia 2011 5.385 10.091
## 415 Croatia 2012 6.028 10.072
## 416 Croatia 2013 5.885 10.069
## 417 Croatia 2014 5.381 10.072
## 418 Croatia 2015 5.205 10.104
## 419 Croatia 2016 5.417 10.146
## 420 Croatia 2017 5.343 10.189
## 421 Croatia 2018 5.536 10.224
## 422 Croatia 2019 5.626 10.258
## 423 Croatia 2020 6.508 10.166
## 424 Cuba 2006 5.418 NA
## 425 Cyprus 2006 6.238 10.566
## 426 Cyprus 2009 6.833 10.558
## 427 Cyprus 2010 6.387 10.551
## 428 Cyprus 2011 6.690 10.530
## 429 Cyprus 2012 6.181 10.479
## 430 Cyprus 2013 5.439 10.414
## 431 Cyprus 2014 5.627 10.406
## 432 Cyprus 2015 5.439 10.445
## 433 Cyprus 2016 5.795 10.506
## 434 Cyprus 2017 6.062 10.539
## 435 Cyprus 2018 6.276 10.567
## 436 Cyprus 2019 6.137 10.585
## 437 Cyprus 2020 6.260 NA
## 438 Czech Republic 2005 6.439 10.324
## 439 Czech Republic 2007 6.500 10.437
## 440 Czech Republic 2010 6.250 10.419
## 441 Czech Republic 2011 6.331 10.435
## 442 Czech Republic 2012 6.334 10.426
## 443 Czech Republic 2013 6.698 10.420
## 444 Czech Republic 2014 6.484 10.446
## 445 Czech Republic 2015 6.608 10.496
## 446 Czech Republic 2016 6.736 10.518
## 447 Czech Republic 2017 6.790 10.558
## 448 Czech Republic 2018 7.034 10.583
## 449 Czech Republic 2020 6.897 10.530
## 450 Denmark 2005 8.019 10.851
## 451 Denmark 2007 7.834 10.891
## 452 Denmark 2008 7.971 10.880
## 453 Denmark 2009 7.683 10.824
## 454 Denmark 2010 7.771 10.839
## 455 Denmark 2011 7.788 10.848
## 456 Denmark 2012 7.520 10.846
## 457 Denmark 2013 7.589 10.851
## 458 Denmark 2014 7.508 10.862
## 459 Denmark 2015 7.514 10.878
## 460 Denmark 2016 7.558 10.903
## 461 Denmark 2017 7.594 10.916
## 462 Denmark 2018 7.649 10.935
## 463 Denmark 2019 7.693 10.954
## 464 Denmark 2020 7.515 10.910
## 465 Djibouti 2008 5.009 8.111
## 466 Djibouti 2009 4.906 7.927
## 467 Djibouti 2010 5.006 7.812
## 468 Djibouti 2011 4.369 7.880
## 469 Dominican Republic 2006 5.088 9.314
## 470 Dominican Republic 2007 5.081 9.372
## 471 Dominican Republic 2008 4.842 9.391
## 472 Dominican Republic 2009 5.432 9.388
## 473 Dominican Republic 2010 4.735 9.456
## 474 Dominican Republic 2011 5.397 9.475
## 475 Dominican Republic 2012 4.753 9.489
## 476 Dominican Republic 2013 5.016 9.525
## 477 Dominican Republic 2014 5.387 9.582
## 478 Dominican Republic 2015 5.062 9.637
## 479 Dominican Republic 2016 5.239 9.691
## 480 Dominican Republic 2017 5.605 9.725
## 481 Dominican Republic 2018 5.433 9.782
## 482 Dominican Republic 2019 6.004 9.821
## 483 Dominican Republic 2020 5.168 9.802
## 484 Ecuador 2006 5.024 9.186
## 485 Ecuador 2007 4.996 9.191
## 486 Ecuador 2008 5.297 9.236
## 487 Ecuador 2009 6.022 9.225
## 488 Ecuador 2010 5.838 9.244
## 489 Ecuador 2011 5.795 9.304
## 490 Ecuador 2012 5.961 9.344
## 491 Ecuador 2013 6.019 9.377
## 492 Ecuador 2014 5.946 9.399
## 493 Ecuador 2015 5.964 9.384
## 494 Ecuador 2016 6.115 9.355
## 495 Ecuador 2017 5.840 9.360
## 496 Ecuador 2018 6.128 9.355
## 497 Ecuador 2019 5.809 9.339
## 498 Ecuador 2020 5.354 9.244
## 499 Egypt 2005 5.168 9.036
## 500 Egypt 2007 5.541 9.135
## 501 Egypt 2008 4.632 9.186
## 502 Egypt 2009 5.066 9.213
## 503 Egypt 2010 4.669 9.244
## 504 Egypt 2011 4.174 9.240
## 505 Egypt 2012 4.204 9.240
## 506 Egypt 2013 3.559 9.239
## 507 Egypt 2014 4.885 9.245
## 508 Egypt 2015 4.763 9.266
## 509 Egypt 2016 4.557 9.287
## 510 Egypt 2017 3.929 9.307
## 511 Egypt 2018 4.005 9.338
## 512 Egypt 2019 4.328 9.373
## 513 Egypt 2020 4.472 9.383
## 514 El Salvador 2006 5.701 8.873
## 515 El Salvador 2007 5.296 8.887
## 516 El Salvador 2008 5.191 8.908
## 517 El Salvador 2009 6.839 8.883
## 518 El Salvador 2010 6.740 8.900
## 519 El Salvador 2011 4.741 8.933
## 520 El Salvador 2012 5.934 8.956
## 521 El Salvador 2013 6.325 8.974
## 522 El Salvador 2014 5.857 8.986
## 523 El Salvador 2015 6.018 9.005
## 524 El Salvador 2016 6.140 9.025
## 525 El Salvador 2017 6.339 9.042
## 526 El Salvador 2018 6.241 9.061
## 527 El Salvador 2019 6.455 9.080
## 528 El Salvador 2020 5.462 9.019
## 529 Estonia 2006 5.371 10.270
## 530 Estonia 2007 5.332 10.347
## 531 Estonia 2008 5.452 10.298
## 532 Estonia 2009 5.138 10.144
## 533 Estonia 2011 5.487 10.248
## 534 Estonia 2012 5.364 10.282
## 535 Estonia 2013 5.367 10.299
## 536 Estonia 2014 5.556 10.331
## 537 Estonia 2015 5.629 10.348
## 538 Estonia 2016 5.650 10.374
## 539 Estonia 2017 5.938 10.429
## 540 Estonia 2018 6.091 10.472
## 541 Estonia 2019 6.035 10.511
## 542 Estonia 2020 6.453 10.459
## 543 Ethiopia 2012 4.561 7.271
## 544 Ethiopia 2013 4.445 7.343
## 545 Ethiopia 2014 4.507 7.413
## 546 Ethiopia 2015 4.573 7.484
## 547 Ethiopia 2016 4.298 7.547
## 548 Ethiopia 2017 4.180 7.612
## 549 Ethiopia 2018 4.379 7.651
## 550 Ethiopia 2019 4.100 7.705
## 551 Ethiopia 2020 4.549 7.711
## 552 Finland 2006 7.672 10.745
## 553 Finland 2008 7.671 10.796
## 554 Finland 2010 7.393 10.734
## 555 Finland 2011 7.354 10.754
## 556 Finland 2012 7.420 10.735
## 557 Finland 2013 7.445 10.722
## 558 Finland 2014 7.385 10.714
## 559 Finland 2015 7.448 10.716
## 560 Finland 2016 7.660 10.740
## 561 Finland 2017 7.788 10.768
## 562 Finland 2018 7.858 10.783
## 563 Finland 2019 7.780 10.792
## 564 Finland 2020 7.889 10.750
## 565 France 2005 7.093 10.642
## 566 France 2006 6.583 10.659
## 567 France 2008 7.008 10.674
## 568 France 2009 6.283 10.639
## 569 France 2010 6.798 10.654
## 570 France 2011 6.959 10.671
## 571 France 2012 6.649 10.669
## 572 France 2013 6.667 10.669
## 573 France 2014 6.467 10.674
## 574 France 2015 6.358 10.682
## 575 France 2016 6.475 10.690
## 576 France 2017 6.635 10.711
## 577 France 2018 6.666 10.727
## 578 France 2019 6.690 10.740
## 579 France 2020 6.714 10.643
## 580 Gabon 2011 4.255 9.608
## 581 Gabon 2012 3.972 9.621
## 582 Gabon 2013 3.800 9.638
## 583 Gabon 2014 3.918 9.644
## 584 Gabon 2015 4.661 9.649
## 585 Gabon 2016 4.832 9.639
## 586 Gabon 2017 4.782 9.616
## 587 Gabon 2018 4.783 9.599
## 588 Gabon 2019 4.914 9.607
## 589 Gambia 2017 4.118 7.637
## 590 Gambia 2018 4.922 7.671
## 591 Gambia 2019 5.164 7.699
## 592 Georgia 2006 3.675 8.993
## 593 Georgia 2007 3.707 9.117
## 594 Georgia 2008 4.156 9.144
## 595 Georgia 2009 3.801 9.116
## 596 Georgia 2010 4.102 9.184
## 597 Georgia 2011 4.203 9.263
## 598 Georgia 2012 4.254 9.332
## 599 Georgia 2013 4.349 9.371
## 600 Georgia 2014 4.288 9.414
## 601 Georgia 2015 4.122 9.442
## 602 Georgia 2016 4.448 9.470
## 603 Georgia 2017 4.451 9.517
## 604 Georgia 2018 4.659 9.565
## 605 Georgia 2019 4.892 9.617
## 606 Georgia 2020 5.123 9.569
## 607 Germany 2005 6.620 10.689
## 608 Germany 2007 6.417 10.759
## 609 Germany 2008 6.522 10.770
## 610 Germany 2009 6.641 10.714
## 611 Germany 2010 6.725 10.756
## 612 Germany 2011 6.621 10.813
## 613 Germany 2012 6.702 10.816
## 614 Germany 2013 6.965 10.817
## 615 Germany 2014 6.984 10.835
## 616 Germany 2015 7.037 10.844
## 617 Germany 2016 6.874 10.858
## 618 Germany 2017 7.074 10.878
## 619 Germany 2018 7.118 10.890
## 620 Germany 2019 7.035 10.893
## 621 Germany 2020 7.312 10.833
## 622 Ghana 2006 4.535 8.073
## 623 Ghana 2007 5.220 8.090
## 624 Ghana 2008 4.965 8.152
## 625 Ghana 2009 4.198 8.174
## 626 Ghana 2010 4.606 8.225
## 627 Ghana 2011 5.608 8.332
## 628 Ghana 2012 5.057 8.397
## 629 Ghana 2013 4.965 8.445
## 630 Ghana 2014 3.860 8.450
## 631 Ghana 2015 3.986 8.449
## 632 Ghana 2016 4.514 8.460
## 633 Ghana 2017 5.481 8.517
## 634 Ghana 2018 5.004 8.555
## 635 Ghana 2019 4.967 8.596
## 636 Ghana 2020 5.319 8.590
## 637 Greece 2005 6.006 10.462
## 638 Greece 2007 6.647 10.543
## 639 Greece 2009 6.039 10.491
## 640 Greece 2010 5.840 10.433
## 641 Greece 2011 5.372 10.339
## 642 Greece 2012 5.096 10.268
## 643 Greece 2013 4.720 10.243
## 644 Greece 2014 4.756 10.257
## 645 Greece 2015 5.623 10.259
## 646 Greece 2016 5.303 10.261
## 647 Greece 2017 5.148 10.278
## 648 Greece 2018 5.409 10.299
## 649 Greece 2019 5.952 10.319
## 650 Greece 2020 5.788 10.215
## 651 Guatemala 2006 5.901 8.850
## 652 Guatemala 2007 6.330 8.891
## 653 Guatemala 2008 6.414 8.904
## 654 Guatemala 2009 6.452 8.891
## 655 Guatemala 2010 6.290 8.901
## 656 Guatemala 2011 5.743 8.923
## 657 Guatemala 2012 5.856 8.935
## 658 Guatemala 2013 5.985 8.953
## 659 Guatemala 2014 6.536 8.980
## 660 Guatemala 2015 6.465 9.003
## 661 Guatemala 2016 6.359 9.013
## 662 Guatemala 2017 6.325 9.026
## 663 Guatemala 2018 6.627 9.042
## 664 Guatemala 2019 6.262 9.064
## 665 Guinea 2011 4.045 7.567
## 666 Guinea 2012 3.652 7.603
## 667 Guinea 2013 3.902 7.619
## 668 Guinea 2014 3.412 7.632
## 669 Guinea 2015 3.505 7.645
## 670 Guinea 2016 3.603 7.721
## 671 Guinea 2017 4.874 7.792
## 672 Guinea 2018 5.252 7.823
## 673 Guinea 2019 4.768 7.849
## 674 Guyana 2007 5.993 8.773
## 675 Haiti 2006 3.754 7.407
## 676 Haiti 2008 3.846 7.417
## 677 Haiti 2010 3.766 7.384
## 678 Haiti 2011 4.845 7.423
## 679 Haiti 2012 4.413 7.437
## 680 Haiti 2013 4.622 7.464
## 681 Haiti 2014 3.889 7.477
## 682 Haiti 2015 3.570 7.476
## 683 Haiti 2016 3.352 7.477
## 684 Haiti 2017 3.824 7.475
## 685 Haiti 2018 3.615 7.477
## 686 Honduras 2006 5.397 8.462
## 687 Honduras 2007 5.097 8.500
## 688 Honduras 2008 5.420 8.520
## 689 Honduras 2009 6.033 8.474
## 690 Honduras 2010 5.866 8.490
## 691 Honduras 2011 4.961 8.508
## 692 Honduras 2012 4.602 8.530
## 693 Honduras 2013 4.713 8.540
## 694 Honduras 2014 5.056 8.552
## 695 Honduras 2015 4.845 8.572
## 696 Honduras 2016 5.648 8.593
## 697 Honduras 2017 6.020 8.624
## 698 Honduras 2018 5.908 8.643
## 699 Honduras 2019 5.930 8.653
## 700 Hong Kong S.A.R. of China 2006 5.511 10.746
## 701 Hong Kong S.A.R. of China 2008 5.137 10.816
## 702 Hong Kong S.A.R. of China 2009 5.397 10.788
## 703 Hong Kong S.A.R. of China 2010 5.643 10.847
## 704 Hong Kong S.A.R. of China 2011 5.474 10.887
## 705 Hong Kong S.A.R. of China 2012 5.484 10.893
## 706 Hong Kong S.A.R. of China 2014 5.458 10.940
## 707 Hong Kong S.A.R. of China 2016 5.498 10.970
## 708 Hong Kong S.A.R. of China 2017 5.362 11.000
## 709 Hong Kong S.A.R. of China 2019 5.659 11.000
## 710 Hong Kong S.A.R. of China 2020 5.295 NA
## 711 Hungary 2005 5.194 10.108
## 712 Hungary 2007 4.954 10.153
## 713 Hungary 2009 4.895 10.097
## 714 Hungary 2010 4.725 10.106
## 715 Hungary 2011 4.918 10.127
## 716 Hungary 2012 4.683 10.117
## 717 Hungary 2013 4.914 10.140
## 718 Hungary 2014 5.181 10.183
## 719 Hungary 2015 5.344 10.223
## 720 Hungary 2016 5.449 10.248
## 721 Hungary 2017 6.065 10.293
## 722 Hungary 2018 5.936 10.344
## 723 Hungary 2019 6.000 10.393
## 724 Hungary 2020 6.038 10.335
## 725 Iceland 2008 6.888 10.861
## 726 Iceland 2012 7.591 10.777
## 727 Iceland 2013 7.501 10.809
## 728 Iceland 2015 7.498 10.854
## 729 Iceland 2016 7.510 10.904
## 730 Iceland 2017 7.476 10.925
## 731 Iceland 2019 7.533 10.931
## 732 Iceland 2020 7.575 10.824
## 733 India 2006 5.348 8.145
## 734 India 2007 5.027 8.204
## 735 India 2008 5.146 8.220
## 736 India 2009 4.522 8.281
## 737 India 2010 4.989 8.349
## 738 India 2011 4.635 8.387
## 739 India 2012 4.720 8.428
## 740 India 2013 4.428 8.478
## 741 India 2014 4.424 8.538
## 742 India 2015 4.342 8.604
## 743 India 2016 4.179 8.673
## 744 India 2017 4.046 8.730
## 745 India 2018 3.818 8.779
## 746 India 2019 3.249 8.818
## 747 India 2020 4.225 8.703
## 748 Indonesia 2006 4.947 8.850
## 749 Indonesia 2007 5.101 8.898
## 750 Indonesia 2008 4.815 8.943
## 751 Indonesia 2009 5.472 8.975
## 752 Indonesia 2010 5.457 9.022
## 753 Indonesia 2011 5.173 9.069
## 754 Indonesia 2012 5.368 9.114
## 755 Indonesia 2013 5.292 9.155
## 756 Indonesia 2014 5.597 9.190
## 757 Indonesia 2015 5.043 9.225
## 758 Indonesia 2016 5.136 9.262
## 759 Indonesia 2017 5.098 9.300
## 760 Indonesia 2018 5.340 9.339
## 761 Indonesia 2019 5.347 9.377
## 762 Iran 2005 5.308 9.393
## 763 Iran 2007 5.336 9.497
## 764 Iran 2008 5.129 9.489
## 765 Iran 2011 4.768 9.547
## 766 Iran 2012 4.609 9.458
## 767 Iran 2013 5.140 9.443
## 768 Iran 2014 4.682 9.476
## 769 Iran 2015 4.750 9.449
## 770 Iran 2016 4.653 9.561
## 771 Iran 2017 4.717 9.584
## 772 Iran 2018 4.278 NA
## 773 Iran 2019 5.006 NA
## 774 Iran 2020 4.865 NA
## 775 Iraq 2008 4.590 9.063
## 776 Iraq 2009 4.775 9.076
## 777 Iraq 2010 5.065 9.112
## 778 Iraq 2011 4.725 9.152
## 779 Iraq 2012 4.660 9.246
## 780 Iraq 2013 4.725 9.280
## 781 Iraq 2014 4.542 9.250
## 782 Iraq 2015 4.493 9.241
## 783 Iraq 2016 4.413 9.354
## 784 Iraq 2017 4.462 9.303
## 785 Iraq 2018 4.886 9.274
## 786 Iraq 2020 4.785 9.167
## 787 Ireland 2006 7.144 10.972
## 788 Ireland 2008 7.568 10.929
## 789 Ireland 2009 7.046 10.866
## 790 Ireland 2010 7.257 10.879
## 791 Ireland 2011 7.007 10.878
## 792 Ireland 2012 6.965 10.876
## 793 Ireland 2013 6.760 10.884
## 794 Ireland 2014 7.018 10.959
## 795 Ireland 2015 6.830 11.174
## 796 Ireland 2016 7.041 11.199
## 797 Ireland 2017 7.060 11.266
## 798 Ireland 2018 6.962 11.332
## 799 Ireland 2019 7.255 11.371
## 800 Ireland 2020 7.035 11.323
## 801 Israel 2006 7.173 10.389
## 802 Israel 2007 6.841 10.428
## 803 Israel 2008 7.261 10.440
## 804 Israel 2009 7.353 10.425
## 805 Israel 2010 7.359 10.461
## 806 Israel 2011 7.433 10.489
## 807 Israel 2012 7.111 10.493
## 808 Israel 2013 7.321 10.515
## 809 Israel 2014 7.401 10.533
## 810 Israel 2015 7.079 10.536
## 811 Israel 2016 7.159 10.555
## 812 Israel 2017 7.331 10.570
## 813 Israel 2018 6.927 10.585
## 814 Israel 2019 7.332 10.601
## 815 Israel 2020 7.195 10.538
## 816 Italy 2005 6.854 10.703
## 817 Italy 2007 6.574 10.727
## 818 Italy 2008 6.780 10.711
## 819 Italy 2009 6.334 10.652
## 820 Italy 2010 6.354 10.666
## 821 Italy 2011 6.057 10.671
## 822 Italy 2012 5.839 10.638
## 823 Italy 2013 6.009 10.608
## 824 Italy 2014 6.027 10.599
## 825 Italy 2015 5.848 10.608
## 826 Italy 2016 5.955 10.622
## 827 Italy 2017 6.199 10.640
## 828 Italy 2018 6.517 10.650
## 829 Italy 2019 6.445 10.655
## 830 Italy 2020 6.488 10.563
## 831 Ivory Coast 2009 4.197 8.209
## 832 Ivory Coast 2013 3.739 8.274
## 833 Ivory Coast 2014 3.570 8.334
## 834 Ivory Coast 2015 4.445 8.393
## 835 Ivory Coast 2016 4.543 8.437
## 836 Ivory Coast 2017 5.038 8.483
## 837 Ivory Coast 2018 5.268 8.523
## 838 Ivory Coast 2019 5.392 8.564
## 839 Ivory Coast 2020 5.257 8.565
## 840 Jamaica 2006 6.208 9.225
## 841 Jamaica 2011 5.374 9.164
## 842 Jamaica 2013 5.709 9.151
## 843 Jamaica 2014 5.311 9.152
## 844 Jamaica 2017 5.890 9.169
## 845 Jamaica 2019 6.309 9.186
## 846 Japan 2005 6.516 10.529
## 847 Japan 2007 6.238 10.558
## 848 Japan 2008 5.911 10.546
## 849 Japan 2009 5.845 10.491
## 850 Japan 2010 6.057 10.532
## 851 Japan 2011 6.263 10.532
## 852 Japan 2012 5.968 10.549
## 853 Japan 2013 5.959 10.570
## 854 Japan 2014 5.923 10.575
## 855 Japan 2015 5.880 10.588
## 856 Japan 2016 5.955 10.595
## 857 Japan 2017 5.911 10.618
## 858 Japan 2018 5.794 10.623
## 859 Japan 2019 5.908 10.632
## 860 Japan 2020 6.118 10.580
## 861 Jordan 2005 6.295 9.246
## 862 Jordan 2007 5.598 9.321
## 863 Jordan 2008 4.930 9.343
## 864 Jordan 2009 6.000 9.347
## 865 Jordan 2010 5.570 9.317
## 866 Jordan 2011 5.539 9.289
## 867 Jordan 2012 5.132 9.261
## 868 Jordan 2013 5.172 9.237
## 869 Jordan 2014 5.333 9.222
## 870 Jordan 2015 5.405 9.207
## 871 Jordan 2016 5.271 9.197
## 872 Jordan 2017 4.808 9.194
## 873 Jordan 2018 4.639 9.196
## 874 Jordan 2019 4.453 9.201
## 875 Jordan 2020 4.094 9.150
## 876 Kazakhstan 2006 5.476 9.804
## 877 Kazakhstan 2007 5.719 9.878
## 878 Kazakhstan 2008 5.886 9.898
## 879 Kazakhstan 2009 5.383 9.884
## 880 Kazakhstan 2010 5.514 9.940
## 881 Kazakhstan 2011 5.736 9.997
## 882 Kazakhstan 2012 5.759 10.030
## 883 Kazakhstan 2013 5.835 10.074
## 884 Kazakhstan 2014 5.970 10.101
## 885 Kazakhstan 2015 5.950 10.098
## 886 Kazakhstan 2016 5.534 10.095
## 887 Kazakhstan 2017 5.882 10.121
## 888 Kazakhstan 2018 6.008 10.148
## 889 Kazakhstan 2019 6.272 10.179
## 890 Kazakhstan 2020 6.168 10.135
## 891 Kenya 2006 4.223 8.039
## 892 Kenya 2007 4.576 8.078
## 893 Kenya 2008 4.015 8.052
## 894 Kenya 2009 4.270 8.057
## 895 Kenya 2010 4.256 8.111
## 896 Kenya 2011 4.405 8.143
## 897 Kenya 2012 4.547 8.161
## 898 Kenya 2013 3.795 8.192
## 899 Kenya 2014 4.905 8.219
## 900 Kenya 2015 4.358 8.249
## 901 Kenya 2016 4.396 8.282
## 902 Kenya 2017 4.476 8.306
## 903 Kenya 2018 4.656 8.344
## 904 Kenya 2019 4.619 8.373
## 905 Kenya 2020 4.547 8.365
## 906 Kosovo 2007 5.104 8.928
## 907 Kosovo 2008 5.522 8.981
## 908 Kosovo 2009 5.891 9.008
## 909 Kosovo 2010 5.177 9.033
## 910 Kosovo 2011 4.860 9.067
## 911 Kosovo 2012 5.640 9.086
## 912 Kosovo 2013 6.126 9.113
## 913 Kosovo 2014 5.000 9.129
## 914 Kosovo 2015 5.077 9.182
## 915 Kosovo 2016 5.759 9.228
## 916 Kosovo 2017 6.149 9.262
## 917 Kosovo 2018 6.392 9.296
## 918 Kosovo 2019 6.425 9.339
## 919 Kosovo 2020 6.294 NA
## 920 Kuwait 2006 6.076 11.228
## 921 Kuwait 2009 6.585 11.065
## 922 Kuwait 2010 6.798 10.982
## 923 Kuwait 2011 6.378 11.017
## 924 Kuwait 2012 6.221 11.025
## 925 Kuwait 2013 6.480 10.985
## 926 Kuwait 2014 6.180 10.945
## 927 Kuwait 2015 6.146 10.912
## 928 Kuwait 2016 5.947 10.910
## 929 Kuwait 2017 6.094 10.837
## 930 Kuwait 2019 6.106 10.817
## 931 Kyrgyzstan 2006 4.641 8.185
## 932 Kyrgyzstan 2007 4.698 8.258
## 933 Kyrgyzstan 2008 4.737 8.329
## 934 Kyrgyzstan 2009 5.069 8.345
## 935 Kyrgyzstan 2010 4.996 8.329
## 936 Kyrgyzstan 2011 4.921 8.374
## 937 Kyrgyzstan 2012 5.208 8.357
## 938 Kyrgyzstan 2013 5.402 8.441
## 939 Kyrgyzstan 2014 5.252 8.460
## 940 Kyrgyzstan 2015 4.905 8.477
## 941 Kyrgyzstan 2016 4.857 8.500
## 942 Kyrgyzstan 2017 5.630 8.526
## 943 Kyrgyzstan 2018 5.297 8.543
## 944 Kyrgyzstan 2019 5.685 8.567
## 945 Kyrgyzstan 2020 6.250 8.503
## 946 Laos 2006 5.076 8.251
## 947 Laos 2007 5.364 8.307
## 948 Laos 2008 5.044 8.366
## 949 Laos 2011 4.704 8.548
## 950 Laos 2012 4.876 8.611
## 951 Laos 2017 4.623 8.890
## 952 Laos 2018 4.859 8.935
## 953 Laos 2019 5.197 8.965
## 954 Laos 2020 5.284 8.960
## 955 Latvia 2006 4.710 10.032
## 956 Latvia 2007 4.667 10.136
## 957 Latvia 2008 5.145 10.112
## 958 Latvia 2009 4.669 9.975
## 959 Latvia 2011 4.967 10.029
## 960 Latvia 2012 5.125 10.082
## 961 Latvia 2013 5.070 10.116
## 962 Latvia 2014 5.729 10.144
## 963 Latvia 2015 5.881 10.185
## 964 Latvia 2016 5.940 10.211
## 965 Latvia 2017 5.978 10.257
## 966 Latvia 2018 5.901 10.307
## 967 Latvia 2019 5.970 10.336
## 968 Latvia 2020 6.229 10.300
## 969 Lebanon 2005 5.491 9.565
## 970 Lebanon 2006 4.653 9.568
## 971 Lebanon 2008 4.595 9.743
## 972 Lebanon 2009 5.206 9.830
## 973 Lebanon 2010 5.032 9.878
## 974 Lebanon 2011 5.188 9.838
## 975 Lebanon 2012 4.573 9.800
## 976 Lebanon 2013 4.983 9.772
## 977 Lebanon 2014 5.233 9.739
## 978 Lebanon 2015 5.172 9.699
## 979 Lebanon 2016 5.271 9.687
## 980 Lebanon 2017 5.154 9.681
## 981 Lebanon 2018 5.167 9.656
## 982 Lebanon 2019 4.024 9.597
## 983 Lesotho 2011 4.898 7.777
## 984 Lesotho 2016 3.808 7.953
## 985 Lesotho 2017 3.795 7.931
## 986 Lesotho 2019 3.512 7.926
## 987 Liberia 2007 3.701 7.196
## 988 Liberia 2008 4.221 7.223
## 989 Liberia 2010 4.196 7.258
## 990 Liberia 2014 4.571 7.391
## 991 Liberia 2015 2.702 7.365
## 992 Liberia 2016 3.355 7.324
## 993 Liberia 2017 4.424 7.324
## 994 Liberia 2018 4.135 7.311
## 995 Liberia 2019 5.121 7.264
## 996 Libya 2012 5.754 9.842
## 997 Libya 2015 5.615 9.308
## 998 Libya 2016 5.434 9.268
## 999 Libya 2017 5.647 9.491
## 1000 Libya 2018 5.494 9.617
## 1001 Libya 2019 5.330 9.627
## 1002 Lithuania 2006 5.954 10.046
## 1003 Lithuania 2007 5.808 10.163
## 1004 Lithuania 2008 5.554 10.199
## 1005 Lithuania 2009 5.467 10.050
## 1006 Lithuania 2010 5.066 10.085
## 1007 Lithuania 2011 5.432 10.167
## 1008 Lithuania 2012 5.771 10.218
## 1009 Lithuania 2013 5.596 10.263
## 1010 Lithuania 2014 6.126 10.306
## 1011 Lithuania 2015 5.711 10.335
## 1012 Lithuania 2016 5.866 10.373
## 1013 Lithuania 2017 6.273 10.429
## 1014 Lithuania 2018 6.309 10.474
## 1015 Lithuania 2019 6.064 10.518
## 1016 Lithuania 2020 6.391 10.504
## 1017 Luxembourg 2009 6.958 11.562
## 1018 Luxembourg 2010 7.097 11.592
## 1019 Luxembourg 2011 7.101 11.595
## 1020 Luxembourg 2012 6.964 11.567
## 1021 Luxembourg 2013 7.131 11.580
## 1022 Luxembourg 2014 6.891 11.598
## 1023 Luxembourg 2015 6.702 11.617
## 1024 Luxembourg 2016 6.967 11.640
## 1025 Luxembourg 2017 7.061 11.634
## 1026 Luxembourg 2018 7.243 11.645
## 1027 Luxembourg 2019 7.404 11.648
## 1028 Madagascar 2006 3.980 7.376
## 1029 Madagascar 2008 4.640 7.439
## 1030 Madagascar 2011 4.381 7.336
## 1031 Madagascar 2012 3.551 7.339
## 1032 Madagascar 2013 3.816 7.334
## 1033 Madagascar 2014 3.676 7.340
## 1034 Madagascar 2015 3.593 7.344
## 1035 Madagascar 2016 3.663 7.356
## 1036 Madagascar 2017 4.079 7.368
## 1037 Madagascar 2018 4.071 7.386
## 1038 Madagascar 2019 4.339 7.406
## 1039 Malawi 2006 3.830 6.678
## 1040 Malawi 2007 4.891 6.742
## 1041 Malawi 2009 5.148 6.838
## 1042 Malawi 2011 3.946 6.895
## 1043 Malawi 2012 4.279 6.885
## 1044 Malawi 2013 4.035 6.907
## 1045 Malawi 2014 4.563 6.935
## 1046 Malawi 2015 3.868 6.935
## 1047 Malawi 2016 3.476 6.932
## 1048 Malawi 2017 3.417 6.945
## 1049 Malawi 2018 3.335 6.949
## 1050 Malawi 2019 3.869 6.966
## 1051 Malaysia 2006 6.012 9.839
## 1052 Malaysia 2007 6.239 9.881
## 1053 Malaysia 2008 5.807 9.909
## 1054 Malaysia 2009 5.385 9.875
## 1055 Malaysia 2010 5.580 9.930
## 1056 Malaysia 2011 5.786 9.966
## 1057 Malaysia 2012 5.914 10.005
## 1058 Malaysia 2013 5.770 10.037
## 1059 Malaysia 2014 5.963 10.082
## 1060 Malaysia 2015 6.322 10.118
## 1061 Malaysia 2018 5.339 10.223
## 1062 Malaysia 2019 5.428 10.252
## 1063 Maldives 2018 5.198 9.826
## 1064 Mali 2006 4.014 7.593
## 1065 Mali 2008 4.115 7.607
## 1066 Mali 2009 3.977 7.622
## 1067 Mali 2010 3.762 7.642
## 1068 Mali 2011 4.667 7.643
## 1069 Mali 2012 4.313 7.605
## 1070 Mali 2013 3.676 7.599
## 1071 Mali 2014 3.975 7.638
## 1072 Mali 2015 4.582 7.669
## 1073 Mali 2016 4.016 7.695
## 1074 Mali 2017 4.742 7.718
## 1075 Mali 2018 4.416 7.733
## 1076 Mali 2019 4.988 7.752
## 1077 Malta 2009 6.328 10.331
## 1078 Malta 2010 5.774 10.361
## 1079 Malta 2011 6.155 10.370
## 1080 Malta 2012 5.963 10.389
## 1081 Malta 2013 6.380 10.422
## 1082 Malta 2014 6.452 10.486
## 1083 Malta 2015 6.613 10.566
## 1084 Malta 2016 6.591 10.599
## 1085 Malta 2017 6.676 10.635
## 1086 Malta 2018 6.910 10.670
## 1087 Malta 2019 6.733 10.677
## 1088 Malta 2020 6.157 NA
## 1089 Mauritania 2007 4.149 8.533
## 1090 Mauritania 2008 4.248 8.501
## 1091 Mauritania 2009 4.500 8.473
## 1092 Mauritania 2010 4.772 8.470
## 1093 Mauritania 2011 4.785 8.481
## 1094 Mauritania 2012 4.673 8.495
## 1095 Mauritania 2013 4.199 8.506
## 1096 Mauritania 2014 4.483 8.519
## 1097 Mauritania 2015 3.923 8.542
## 1098 Mauritania 2016 4.472 8.526
## 1099 Mauritania 2017 4.678 8.533
## 1100 Mauritania 2018 4.314 8.526
## 1101 Mauritania 2019 4.153 8.556
## 1102 Mauritius 2011 5.477 9.767
## 1103 Mauritius 2014 5.648 9.865
## 1104 Mauritius 2016 5.610 9.935
## 1105 Mauritius 2017 6.174 9.972
## 1106 Mauritius 2018 5.882 10.008
## 1107 Mauritius 2019 6.241 10.043
## 1108 Mauritius 2020 6.015 9.972
## 1109 Mexico 2005 6.581 9.788
## 1110 Mexico 2007 6.525 9.825
## 1111 Mexico 2008 6.829 9.821
## 1112 Mexico 2009 6.963 9.752
## 1113 Mexico 2010 6.802 9.788
## 1114 Mexico 2011 6.910 9.810
## 1115 Mexico 2012 7.320 9.832
## 1116 Mexico 2013 7.443 9.832
## 1117 Mexico 2014 6.680 9.847
## 1118 Mexico 2015 6.236 9.867
## 1119 Mexico 2016 6.824 9.884
## 1120 Mexico 2017 6.410 9.893
## 1121 Mexico 2018 6.550 9.903
## 1122 Mexico 2019 6.432 9.891
## 1123 Mexico 2020 5.964 9.782
## 1124 Moldova 2006 5.102 8.936
## 1125 Moldova 2007 4.775 8.968
## 1126 Moldova 2008 5.503 9.045
## 1127 Moldova 2009 5.554 8.984
## 1128 Moldova 2010 5.590 9.054
## 1129 Moldova 2011 5.792 9.111
## 1130 Moldova 2012 5.996 9.105
## 1131 Moldova 2013 5.756 9.192
## 1132 Moldova 2014 5.917 9.241
## 1133 Moldova 2015 6.017 9.246
## 1134 Moldova 2016 5.578 9.300
## 1135 Moldova 2017 5.326 9.363
## 1136 Moldova 2018 5.682 9.423
## 1137 Moldova 2019 5.803 9.475
## 1138 Moldova 2020 5.812 9.462
## 1139 Mongolia 2007 4.609 8.833
## 1140 Mongolia 2008 4.493 8.904
## 1141 Mongolia 2010 4.586 8.920
## 1142 Mongolia 2011 5.031 9.061
## 1143 Mongolia 2012 4.885 9.158
## 1144 Mongolia 2013 4.913 9.248
## 1145 Mongolia 2014 4.825 9.304
## 1146 Mongolia 2015 4.983 9.308
## 1147 Mongolia 2016 5.057 9.300
## 1148 Mongolia 2017 5.334 9.334
## 1149 Mongolia 2018 5.465 9.386
## 1150 Mongolia 2019 5.563 9.418
## 1151 Mongolia 2020 6.011 9.396
## 1152 Montenegro 2007 5.196 9.693
## 1153 Montenegro 2009 4.801 9.699
## 1154 Montenegro 2010 5.455 9.724
## 1155 Montenegro 2011 5.223 9.755
## 1156 Montenegro 2012 5.219 9.726
## 1157 Montenegro 2013 5.074 9.760
## 1158 Montenegro 2014 5.283 9.777
## 1159 Montenegro 2015 5.125 9.810
## 1160 Montenegro 2016 5.304 9.839
## 1161 Montenegro 2017 5.615 9.885
## 1162 Montenegro 2018 5.650 9.934
## 1163 Montenegro 2019 5.386 9.970
## 1164 Montenegro 2020 5.722 9.913
## 1165 Morocco 2010 4.383 8.746
## 1166 Morocco 2011 5.085 8.783
## 1167 Morocco 2012 4.970 8.799
## 1168 Morocco 2013 5.142 8.829
## 1169 Morocco 2015 5.163 8.872
## 1170 Morocco 2016 5.386 8.869
## 1171 Morocco 2017 5.312 8.898
## 1172 Morocco 2018 4.897 8.914
## 1173 Morocco 2019 5.057 8.925
## 1174 Morocco 2020 4.803 8.871
## 1175 Mozambique 2006 4.595 6.776
## 1176 Mozambique 2007 4.833 6.823
## 1177 Mozambique 2008 4.654 6.865
## 1178 Mozambique 2011 4.971 6.979
## 1179 Mozambique 2015 4.550 7.141
## 1180 Mozambique 2017 4.280 7.157
## 1181 Mozambique 2018 4.654 7.162
## 1182 Mozambique 2019 4.932 7.155
## 1183 Myanmar 2012 4.439 8.158
## 1184 Myanmar 2013 4.176 8.230
## 1185 Myanmar 2014 4.786 8.299
## 1186 Myanmar 2015 4.224 8.359
## 1187 Myanmar 2016 4.623 8.408
## 1188 Myanmar 2017 4.154 8.464
## 1189 Myanmar 2018 4.411 8.523
## 1190 Myanmar 2019 4.434 8.545
## 1191 Myanmar 2020 4.431 8.554
## 1192 Namibia 2007 4.886 9.059
## 1193 Namibia 2014 4.574 9.232
## 1194 Namibia 2017 4.441 9.215
## 1195 Namibia 2018 4.834 9.204
## 1196 Namibia 2019 4.436 9.173
## 1197 Namibia 2020 4.451 9.104
## 1198 Nepal 2006 4.567 7.616
## 1199 Nepal 2007 4.748 7.638
## 1200 Nepal 2008 4.441 7.686
## 1201 Nepal 2009 4.917 7.723
## 1202 Nepal 2010 4.350 7.765
## 1203 Nepal 2011 3.809 7.797
## 1204 Nepal 2012 4.233 7.846
## 1205 Nepal 2013 4.605 7.889
## 1206 Nepal 2014 4.975 7.948
## 1207 Nepal 2015 4.812 7.976
## 1208 Nepal 2016 5.100 7.973
## 1209 Nepal 2017 4.737 8.039
## 1210 Nepal 2018 4.910 8.087
## 1211 Nepal 2019 5.449 8.136
## 1212 Netherlands 2005 7.464 10.814
## 1213 Netherlands 2007 7.452 10.881
## 1214 Netherlands 2008 7.631 10.899
## 1215 Netherlands 2010 7.502 10.864
## 1216 Netherlands 2011 7.564 10.875
## 1217 Netherlands 2012 7.471 10.861
## 1218 Netherlands 2013 7.407 10.857
## 1219 Netherlands 2014 7.321 10.867
## 1220 Netherlands 2015 7.324 10.882
## 1221 Netherlands 2016 7.541 10.899
## 1222 Netherlands 2017 7.459 10.921
## 1223 Netherlands 2018 7.463 10.941
## 1224 Netherlands 2019 7.425 10.953
## 1225 Netherlands 2020 7.504 10.901
## 1226 New Zealand 2006 7.305 10.526
## 1227 New Zealand 2007 7.604 10.546
## 1228 New Zealand 2008 7.381 10.528
## 1229 New Zealand 2010 7.224 10.520
## 1230 New Zealand 2011 7.191 10.536
## 1231 New Zealand 2012 7.250 10.553
## 1232 New Zealand 2013 7.280 10.571
## 1233 New Zealand 2014 7.306 10.592
## 1234 New Zealand 2015 7.418 10.608
## 1235 New Zealand 2016 7.226 10.623
## 1236 New Zealand 2017 7.327 10.633
## 1237 New Zealand 2018 7.370 10.660
## 1238 New Zealand 2019 7.205 10.666
## 1239 New Zealand 2020 7.257 10.600
## 1240 Nicaragua 2006 4.460 8.398
## 1241 Nicaragua 2007 4.944 8.434
## 1242 Nicaragua 2008 5.104 8.454
## 1243 Nicaragua 2009 5.353 8.407
## 1244 Nicaragua 2010 5.687 8.436
## 1245 Nicaragua 2011 5.386 8.484
## 1246 Nicaragua 2012 5.448 8.534
## 1247 Nicaragua 2013 5.772 8.569
## 1248 Nicaragua 2014 6.275 8.602
## 1249 Nicaragua 2015 5.924 8.636
## 1250 Nicaragua 2016 6.013 8.668
## 1251 Nicaragua 2017 6.476 8.700
## 1252 Nicaragua 2018 5.819 8.647
## 1253 Nicaragua 2019 6.113 8.595
## 1254 Niger 2006 3.737 6.888
## 1255 Niger 2007 4.277 6.881
## 1256 Niger 2008 4.236 6.918
## 1257 Niger 2009 4.267 6.898
## 1258 Niger 2010 4.101 6.941
## 1259 Niger 2011 4.556 6.925
## 1260 Niger 2012 3.798 6.987
## 1261 Niger 2013 3.716 7.002
## 1262 Niger 2014 4.181 7.027
## 1263 Niger 2015 3.671 7.030
## 1264 Niger 2016 4.235 7.047
## 1265 Niger 2017 4.616 7.058
## 1266 Niger 2018 5.164 7.087
## 1267 Niger 2019 5.004 7.106
## 1268 Nigeria 2006 4.710 8.326
## 1269 Nigeria 2007 4.890 8.364
## 1270 Nigeria 2008 4.939 8.403
## 1271 Nigeria 2009 4.980 8.453
## 1272 Nigeria 2010 4.760 8.504
## 1273 Nigeria 2012 5.493 8.543
## 1274 Nigeria 2013 4.818 8.581
## 1275 Nigeria 2015 4.933 8.615
## 1276 Nigeria 2016 5.220 8.573
## 1277 Nigeria 2017 5.322 8.555
## 1278 Nigeria 2018 5.252 8.548
## 1279 Nigeria 2019 4.356 8.544
## 1280 Nigeria 2020 5.503 8.484
## 1281 North Cyprus 2012 5.463 NA
## 1282 North Cyprus 2013 5.567 NA
## 1283 North Cyprus 2014 5.786 NA
## 1284 North Cyprus 2015 5.843 NA
## 1285 North Cyprus 2016 5.827 NA
## 1286 North Cyprus 2018 5.608 NA
## 1287 North Cyprus 2019 5.467 NA
## 1288 North Macedonia 2007 4.494 9.416
## 1289 North Macedonia 2009 4.428 9.464
## 1290 North Macedonia 2010 4.180 9.496
## 1291 North Macedonia 2011 4.898 9.518
## 1292 North Macedonia 2012 4.640 9.513
## 1293 North Macedonia 2013 5.186 9.541
## 1294 North Macedonia 2014 5.204 9.576
## 1295 North Macedonia 2015 4.976 9.613
## 1296 North Macedonia 2016 5.346 9.640
## 1297 North Macedonia 2017 5.234 9.650
## 1298 North Macedonia 2018 5.240 9.677
## 1299 North Macedonia 2019 5.015 9.711
## 1300 North Macedonia 2020 5.054 9.690
## 1301 Norway 2006 7.416 11.031
## 1302 Norway 2008 7.632 11.042
## 1303 Norway 2012 7.678 11.017
## 1304 Norway 2014 7.444 11.024
## 1305 Norway 2015 7.603 11.033
## 1306 Norway 2016 7.596 11.035
## 1307 Norway 2017 7.579 11.050
## 1308 Norway 2018 7.444 11.056
## 1309 Norway 2019 7.442 11.061
## 1310 Norway 2020 7.290 11.042
## 1311 Oman 2011 6.853 10.382
## 1312 Pakistan 2005 5.225 8.218
## 1313 Pakistan 2007 5.671 8.277
## 1314 Pakistan 2008 4.414 8.271
## 1315 Pakistan 2009 5.208 8.277
## 1316 Pakistan 2010 5.786 8.270
## 1317 Pakistan 2011 5.267 8.276
## 1318 Pakistan 2012 5.132 8.289
## 1319 Pakistan 2013 5.138 8.311
## 1320 Pakistan 2014 5.436 8.336
## 1321 Pakistan 2015 4.823 8.361
## 1322 Pakistan 2016 5.549 8.394
## 1323 Pakistan 2017 5.831 8.428
## 1324 Pakistan 2018 5.472 8.464
## 1325 Pakistan 2019 4.443 8.453
## 1326 Palestinian Territories 2006 4.716 8.213
## 1327 Palestinian Territories 2007 4.151 8.218
## 1328 Palestinian Territories 2008 4.386 8.276
## 1329 Palestinian Territories 2009 4.470 8.329
## 1330 Palestinian Territories 2010 4.703 8.383
## 1331 Palestinian Territories 2011 4.751 8.474
## 1332 Palestinian Territories 2012 4.647 8.531
## 1333 Palestinian Territories 2013 4.844 8.489
## 1334 Palestinian Territories 2014 4.722 8.457
## 1335 Palestinian Territories 2015 4.695 8.480
## 1336 Palestinian Territories 2016 4.907 8.498
## 1337 Palestinian Territories 2017 4.628 8.485
## 1338 Palestinian Territories 2018 4.554 NA
## 1339 Palestinian Territories 2019 4.483 NA
## 1340 Panama 2006 6.128 9.764
## 1341 Panama 2007 6.894 9.859
## 1342 Panama 2008 6.931 9.935
## 1343 Panama 2009 7.034 9.930
## 1344 Panama 2010 7.321 9.969
## 1345 Panama 2011 7.248 10.059
## 1346 Panama 2012 6.860 10.135
## 1347 Panama 2013 6.866 10.184
## 1348 Panama 2014 6.631 10.217
## 1349 Panama 2015 6.606 10.255
## 1350 Panama 2016 6.118 10.287
## 1351 Panama 2017 6.568 10.324
## 1352 Panama 2018 6.281 10.343
## 1353 Panama 2019 6.086 10.356
## 1354 Paraguay 2006 4.730 9.088
## 1355 Paraguay 2007 5.272 9.126
## 1356 Paraguay 2008 5.570 9.174
## 1357 Paraguay 2009 5.576 9.158
## 1358 Paraguay 2010 5.841 9.250
## 1359 Paraguay 2011 5.677 9.278
## 1360 Paraguay 2012 5.820 9.259
## 1361 Paraguay 2013 5.936 9.326
## 1362 Paraguay 2014 5.119 9.360
## 1363 Paraguay 2015 5.560 9.377
## 1364 Paraguay 2016 5.801 9.406
## 1365 Paraguay 2017 5.713 9.441
## 1366 Paraguay 2019 5.653 9.448
## 1367 Peru 2006 4.811 8.989
## 1368 Peru 2007 5.214 9.063
## 1369 Peru 2008 5.129 9.142
## 1370 Peru 2009 5.519 9.145
## 1371 Peru 2010 5.613 9.217
## 1372 Peru 2011 5.892 9.270
## 1373 Peru 2012 5.825 9.322
## 1374 Peru 2013 5.783 9.369
## 1375 Peru 2014 5.866 9.382
## 1376 Peru 2015 5.577 9.402
## 1377 Peru 2016 5.701 9.426
## 1378 Peru 2017 5.711 9.434
## 1379 Peru 2018 5.680 9.456
## 1380 Peru 2019 5.999 9.461
## 1381 Philippines 2006 4.670 8.562
## 1382 Philippines 2007 5.074 8.608
## 1383 Philippines 2008 4.589 8.634
## 1384 Philippines 2009 4.880 8.632
## 1385 Philippines 2010 4.942 8.686
## 1386 Philippines 2011 4.994 8.707
## 1387 Philippines 2012 5.002 8.756
## 1388 Philippines 2013 4.977 8.805
## 1389 Philippines 2014 5.313 8.850
## 1390 Philippines 2015 5.547 8.896
## 1391 Philippines 2016 5.431 8.950
## 1392 Philippines 2017 5.594 9.002
## 1393 Philippines 2018 5.869 9.050
## 1394 Philippines 2019 6.268 9.095
## 1395 Philippines 2020 5.080 9.061
## 1396 Poland 2005 5.587 9.849
## 1397 Poland 2007 5.886 9.978
## 1398 Poland 2009 5.772 10.047
## 1399 Poland 2010 5.887 10.085
## 1400 Poland 2011 5.646 10.133
## 1401 Poland 2012 5.876 10.149
## 1402 Poland 2013 5.746 10.164
## 1403 Poland 2014 5.750 10.197
## 1404 Poland 2015 6.007 10.235
## 1405 Poland 2016 6.162 10.266
## 1406 Poland 2017 6.201 10.314
## 1407 Poland 2018 6.111 10.366
## 1408 Poland 2019 6.242 10.407
## 1409 Poland 2020 6.139 10.371
## 1410 Portugal 2006 5.405 10.360
## 1411 Portugal 2008 5.717 10.384
## 1412 Portugal 2010 5.095 10.368
## 1413 Portugal 2011 5.220 10.353
## 1414 Portugal 2012 4.994 10.315
## 1415 Portugal 2013 5.158 10.312
## 1416 Portugal 2014 5.127 10.325
## 1417 Portugal 2015 5.081 10.347
## 1418 Portugal 2016 5.447 10.370
## 1419 Portugal 2017 5.711 10.407
## 1420 Portugal 2018 5.920 10.434
## 1421 Portugal 2019 6.095 10.457
## 1422 Portugal 2020 5.768 10.371
## 1423 Qatar 2009 6.418 11.456
## 1424 Qatar 2010 6.850 11.520
## 1425 Qatar 2011 6.592 11.553
## 1426 Qatar 2012 6.611 11.523
## 1427 Qatar 2015 6.375 11.486
## 1428 Romania 2005 5.049 9.724
## 1429 Romania 2007 5.394 9.892
## 1430 Romania 2009 5.368 9.949
## 1431 Romania 2010 4.909 9.915
## 1432 Romania 2011 5.023 9.940
## 1433 Romania 2012 5.167 9.965
## 1434 Romania 2013 5.082 10.004
## 1435 Romania 2014 5.727 10.041
## 1436 Romania 2015 5.777 10.083
## 1437 Romania 2016 5.969 10.136
## 1438 Romania 2017 6.090 10.211
## 1439 Romania 2018 6.151 10.260
## 1440 Romania 2019 6.130 10.306
## 1441 Russia 2006 4.964 9.991
## 1442 Russia 2007 5.223 10.074
## 1443 Russia 2008 5.619 10.125
## 1444 Russia 2009 5.158 10.044
## 1445 Russia 2010 5.385 10.087
## 1446 Russia 2011 5.389 10.129
## 1447 Russia 2012 5.621 10.166
## 1448 Russia 2013 5.537 10.182
## 1449 Russia 2014 6.037 10.171
## 1450 Russia 2015 5.996 10.149
## 1451 Russia 2016 5.855 10.149
## 1452 Russia 2017 5.579 10.166
## 1453 Russia 2018 5.514 10.191
## 1454 Russia 2019 5.441 10.205
## 1455 Russia 2020 5.495 10.162
## 1456 Rwanda 2006 4.215 7.111
## 1457 Rwanda 2008 4.363 7.239
## 1458 Rwanda 2009 4.030 7.273
## 1459 Rwanda 2011 4.097 7.369
## 1460 Rwanda 2012 3.333 7.428
## 1461 Rwanda 2013 3.466 7.449
## 1462 Rwanda 2014 3.596 7.484
## 1463 Rwanda 2015 3.483 7.544
## 1464 Rwanda 2016 3.333 7.576
## 1465 Rwanda 2017 3.108 7.588
## 1466 Rwanda 2018 3.561 7.644
## 1467 Rwanda 2019 3.268 7.708
## 1468 Saudi Arabia 2005 7.080 10.699
## 1469 Saudi Arabia 2007 7.267 10.689
## 1470 Saudi Arabia 2008 6.811 10.722
## 1471 Saudi Arabia 2009 6.148 10.673
## 1472 Saudi Arabia 2010 6.307 10.693
## 1473 Saudi Arabia 2011 6.700 10.758
## 1474 Saudi Arabia 2012 6.396 10.779
## 1475 Saudi Arabia 2013 6.495 10.776
## 1476 Saudi Arabia 2014 6.278 10.783
## 1477 Saudi Arabia 2015 6.345 10.798
## 1478 Saudi Arabia 2016 6.474 10.792
## 1479 Saudi Arabia 2017 6.294 10.764
## 1480 Saudi Arabia 2018 6.356 10.771
## 1481 Saudi Arabia 2019 6.561 10.757
## 1482 Saudi Arabia 2020 6.560 10.701
## 1483 Senegal 2006 4.417 7.881
## 1484 Senegal 2007 4.680 7.903
## 1485 Senegal 2008 4.683 7.916
## 1486 Senegal 2009 4.335 7.909
## 1487 Senegal 2010 4.372 7.917
## 1488 Senegal 2011 3.834 7.904
## 1489 Senegal 2012 3.669 7.926
## 1490 Senegal 2013 3.647 7.926
## 1491 Senegal 2014 4.395 7.961
## 1492 Senegal 2015 4.617 7.995
## 1493 Senegal 2016 4.595 8.029
## 1494 Senegal 2017 4.683 8.072
## 1495 Senegal 2018 4.769 8.106
## 1496 Senegal 2019 5.489 8.130
## 1497 Serbia 2007 4.750 9.532
## 1498 Serbia 2009 4.380 9.568
## 1499 Serbia 2010 4.461 9.579
## 1500 Serbia 2011 4.815 9.607
## 1501 Serbia 2012 5.155 9.605
## 1502 Serbia 2013 5.102 9.638
## 1503 Serbia 2014 5.113 9.627
## 1504 Serbia 2015 5.318 9.649
## 1505 Serbia 2016 5.753 9.688
## 1506 Serbia 2017 5.122 9.713
## 1507 Serbia 2018 5.936 9.762
## 1508 Serbia 2019 6.241 9.808
## 1509 Serbia 2020 6.042 9.788
## 1510 Sierra Leone 2006 3.628 7.136
## 1511 Sierra Leone 2007 3.585 7.187
## 1512 Sierra Leone 2008 2.997 7.215
## 1513 Sierra Leone 2010 4.134 7.254
## 1514 Sierra Leone 2011 4.502 7.292
## 1515 Sierra Leone 2013 4.514 7.577
## 1516 Sierra Leone 2014 4.500 7.600
## 1517 Sierra Leone 2015 4.909 7.347
## 1518 Sierra Leone 2016 4.733 7.384
## 1519 Sierra Leone 2017 4.090 7.404
## 1520 Sierra Leone 2018 4.306 7.417
## 1521 Sierra Leone 2019 3.447 7.449
## 1522 Singapore 2006 6.463 11.168
## 1523 Singapore 2007 6.834 11.212
## 1524 Singapore 2008 6.642 11.178
## 1525 Singapore 2009 6.145 11.149
## 1526 Singapore 2010 6.531 11.267
## 1527 Singapore 2011 6.561 11.307
## 1528 Singapore 2013 6.533 11.357
## 1529 Singapore 2014 7.062 11.383
## 1530 Singapore 2015 6.620 11.400
## 1531 Singapore 2016 6.033 11.419
## 1532 Singapore 2017 6.378 11.461
## 1533 Singapore 2018 6.375 11.490
## 1534 Singapore 2019 6.378 11.486
## 1535 Slovakia 2006 5.265 10.015
## 1536 Slovakia 2010 6.052 10.169
## 1537 Slovakia 2011 5.945 10.196
## 1538 Slovakia 2012 5.911 10.213
## 1539 Slovakia 2013 5.937 10.218
## 1540 Slovakia 2014 6.139 10.244
## 1541 Slovakia 2015 6.162 10.291
## 1542 Slovakia 2016 5.993 10.310
## 1543 Slovakia 2017 6.366 10.339
## 1544 Slovakia 2018 6.235 10.376
## 1545 Slovakia 2019 6.243 10.398
## 1546 Slovakia 2020 6.519 10.332
## 1547 Slovenia 2006 5.811 10.403
## 1548 Slovenia 2009 5.830 10.410
## 1549 Slovenia 2010 6.083 10.419
## 1550 Slovenia 2011 6.036 10.426
## 1551 Slovenia 2012 6.063 10.397
## 1552 Slovenia 2013 5.975 10.385
## 1553 Slovenia 2014 5.678 10.412
## 1554 Slovenia 2015 5.741 10.433
## 1555 Slovenia 2016 5.937 10.463
## 1556 Slovenia 2017 6.167 10.509
## 1557 Slovenia 2018 6.249 10.546
## 1558 Slovenia 2019 6.665 10.563
## 1559 Slovenia 2020 6.462 10.478
## 1560 Somalia 2014 5.528 NA
## 1561 Somalia 2015 5.354 NA
## 1562 Somalia 2016 4.668 NA
## 1563 Somaliland region 2009 4.991 NA
## 1564 Somaliland region 2010 4.657 NA
## 1565 Somaliland region 2011 4.931 NA
## 1566 Somaliland region 2012 5.057 NA
## 1567 South Africa 2006 5.084 9.386
## 1568 South Africa 2007 5.204 9.426
## 1569 South Africa 2008 5.346 9.444
## 1570 South Africa 2009 5.218 9.414
## 1571 South Africa 2010 4.652 9.430
## 1572 South Africa 2011 4.931 9.447
## 1573 South Africa 2012 5.134 9.453
## 1574 South Africa 2013 3.661 9.461
## 1575 South Africa 2014 4.828 9.464
## 1576 South Africa 2015 4.887 9.460
## 1577 South Africa 2016 4.770 9.450
## 1578 South Africa 2017 4.514 9.450
## 1579 South Africa 2018 4.884 9.444
## 1580 South Africa 2019 5.035 9.432
## 1581 South Africa 2020 4.947 9.332
## 1582 South Korea 2006 5.332 10.310
## 1583 South Korea 2007 5.767 10.361
## 1584 South Korea 2008 5.390 10.383
## 1585 South Korea 2009 5.648 10.386
## 1586 South Korea 2010 6.116 10.447
## 1587 South Korea 2011 6.947 10.475
## 1588 South Korea 2012 6.003 10.494
## 1589 South Korea 2013 5.959 10.520
## 1590 South Korea 2014 5.801 10.546
## 1591 South Korea 2015 5.780 10.568
## 1592 South Korea 2016 5.971 10.593
## 1593 South Korea 2017 5.874 10.621
## 1594 South Korea 2018 5.840 10.643
## 1595 South Korea 2019 5.903 10.661
## 1596 South Korea 2020 5.793 10.648
## 1597 South Sudan 2014 3.832 NA
## 1598 South Sudan 2015 4.071 NA
## 1599 South Sudan 2016 2.888 NA
## 1600 South Sudan 2017 2.817 NA
## 1601 Spain 2005 7.153 10.546
## 1602 Spain 2007 6.995 10.587
## 1603 Spain 2008 7.294 10.579
## 1604 Spain 2009 6.199 10.532
## 1605 Spain 2010 6.188 10.529
## 1606 Spain 2011 6.518 10.518
## 1607 Spain 2012 6.291 10.487
## 1608 Spain 2013 6.150 10.476
## 1609 Spain 2014 6.456 10.492
## 1610 Spain 2015 6.381 10.531
## 1611 Spain 2016 6.319 10.560
## 1612 Spain 2017 6.230 10.586
## 1613 Spain 2018 6.513 10.605
## 1614 Spain 2019 6.457 10.618
## 1615 Spain 2020 6.502 10.488
## 1616 Sri Lanka 2006 4.345 8.912
## 1617 Sri Lanka 2007 4.415 8.970
## 1618 Sri Lanka 2008 4.431 9.021
## 1619 Sri Lanka 2009 4.212 9.049
## 1620 Sri Lanka 2010 3.977 9.119
## 1621 Sri Lanka 2011 4.181 9.193
## 1622 Sri Lanka 2012 4.225 9.279
## 1623 Sri Lanka 2013 4.365 9.305
## 1624 Sri Lanka 2014 4.268 9.344
## 1625 Sri Lanka 2015 4.612 9.383
## 1626 Sri Lanka 2017 4.331 9.440
## 1627 Sri Lanka 2018 4.435 9.462
## 1628 Sri Lanka 2019 4.213 9.479
## 1629 Sudan 2009 4.455 8.106
## 1630 Sudan 2010 4.435 8.076
## 1631 Sudan 2011 4.314 8.204
## 1632 Sudan 2012 4.550 8.296
## 1633 Sudan 2014 4.139 8.317
## 1634 Suriname 2012 6.269 9.797
## 1635 Swaziland 2011 4.867 8.940
## 1636 Swaziland 2018 4.212 9.060
## 1637 Swaziland 2019 4.396 9.070
## 1638 Sweden 2005 7.376 10.739
## 1639 Sweden 2007 7.241 10.806
## 1640 Sweden 2008 7.516 10.793
## 1641 Sweden 2009 7.266 10.740
## 1642 Sweden 2010 7.496 10.790
## 1643 Sweden 2011 7.382 10.814
## 1644 Sweden 2012 7.560 10.800
## 1645 Sweden 2013 7.434 10.804
## 1646 Sweden 2014 7.239 10.820
## 1647 Sweden 2015 7.289 10.853
## 1648 Sweden 2016 7.369 10.861
## 1649 Sweden 2017 7.287 10.873
## 1650 Sweden 2018 7.375 10.881
## 1651 Sweden 2019 7.398 10.882
## 1652 Sweden 2020 7.314 10.838
## 1653 Switzerland 2006 7.473 11.050
## 1654 Switzerland 2009 7.525 11.055
## 1655 Switzerland 2012 7.776 11.079
## 1656 Switzerland 2014 7.493 11.098
## 1657 Switzerland 2015 7.572 11.100
## 1658 Switzerland 2016 7.459 11.106
## 1659 Switzerland 2017 7.474 11.115
## 1660 Switzerland 2018 7.509 11.134
## 1661 Switzerland 2019 7.694 11.136
## 1662 Switzerland 2020 7.508 11.081
## 1663 Syria 2008 5.323 8.652
## 1664 Syria 2009 4.979 8.654
## 1665 Syria 2010 4.465 8.729
## 1666 Syria 2011 4.038 8.727
## 1667 Syria 2012 3.164 8.563
## 1668 Syria 2013 2.688 8.396
## 1669 Syria 2015 3.462 8.442
## 1670 Taiwan Province of China 2006 6.189 10.613
## 1671 Taiwan Province of China 2008 5.548 10.606
## 1672 Taiwan Province of China 2010 6.229 10.691
## 1673 Taiwan Province of China 2011 6.309 10.705
## 1674 Taiwan Province of China 2012 6.126 10.716
## 1675 Taiwan Province of China 2013 6.340 10.750
## 1676 Taiwan Province of China 2014 6.363 10.798
## 1677 Taiwan Province of China 2015 6.450 10.842
## 1678 Taiwan Province of China 2016 6.513 10.855
## 1679 Taiwan Province of China 2017 6.359 10.871
## 1680 Taiwan Province of China 2018 6.467 NA
## 1681 Taiwan Province of China 2019 6.537 NA
## 1682 Taiwan Province of China 2020 6.751 NA
## 1683 Tajikistan 2006 4.613 7.554
## 1684 Tajikistan 2007 4.432 7.609
## 1685 Tajikistan 2008 5.064 7.665
## 1686 Tajikistan 2009 4.575 7.682
## 1687 Tajikistan 2010 4.381 7.723
## 1688 Tajikistan 2011 4.263 7.772
## 1689 Tajikistan 2012 4.497 7.821
## 1690 Tajikistan 2013 4.967 7.870
## 1691 Tajikistan 2014 4.896 7.911
## 1692 Tajikistan 2015 5.124 7.945
## 1693 Tajikistan 2016 5.104 7.987
## 1694 Tajikistan 2017 5.829 8.036
## 1695 Tajikistan 2018 5.497 8.082
## 1696 Tajikistan 2019 5.464 8.126
## 1697 Tajikistan 2020 5.373 8.080
## 1698 Tanzania 2006 3.922 7.485
## 1699 Tanzania 2007 4.318 7.522
## 1700 Tanzania 2008 4.385 7.549
## 1701 Tanzania 2009 3.408 7.572
## 1702 Tanzania 2010 3.229 7.604
## 1703 Tanzania 2011 4.074 7.649
## 1704 Tanzania 2012 4.007 7.663
## 1705 Tanzania 2013 3.852 7.699
## 1706 Tanzania 2014 3.483 7.734
## 1707 Tanzania 2015 3.661 7.764
## 1708 Tanzania 2016 2.903 7.800
## 1709 Tanzania 2017 3.347 7.836
## 1710 Tanzania 2018 3.445 7.859
## 1711 Tanzania 2019 3.640 7.886
## 1712 Tanzania 2020 3.786 7.881
## 1713 Thailand 2006 5.885 9.461
## 1714 Thailand 2007 5.784 9.508
## 1715 Thailand 2008 5.636 9.520
## 1716 Thailand 2009 5.476 9.508
## 1717 Thailand 2010 6.217 9.576
## 1718 Thailand 2011 6.664 9.579
## 1719 Thailand 2012 6.300 9.645
## 1720 Thailand 2013 6.231 9.667
## 1721 Thailand 2014 6.985 9.672
## 1722 Thailand 2015 6.202 9.699
## 1723 Thailand 2016 6.074 9.729
## 1724 Thailand 2017 5.939 9.765
## 1725 Thailand 2018 6.012 9.803
## 1726 Thailand 2019 6.022 9.824
## 1727 Thailand 2020 5.885 9.769
## 1728 Togo 2006 3.202 7.078
## 1729 Togo 2008 2.808 7.052
## 1730 Togo 2011 2.936 7.146
## 1731 Togo 2014 2.839 7.247
## 1732 Togo 2015 3.768 7.277
## 1733 Togo 2016 3.879 7.306
## 1734 Togo 2017 4.361 7.324
## 1735 Togo 2018 4.023 7.348
## 1736 Togo 2019 4.179 7.375
## 1737 Trinidad and Tobago 2006 5.832 10.224
## 1738 Trinidad and Tobago 2008 6.696 10.295
## 1739 Trinidad and Tobago 2011 6.519 10.263
## 1740 Trinidad and Tobago 2013 6.168 10.285
## 1741 Trinidad and Tobago 2017 6.192 10.183
## 1742 Tunisia 2009 5.025 9.197
## 1743 Tunisia 2010 5.131 9.222
## 1744 Tunisia 2011 4.876 9.192
## 1745 Tunisia 2012 4.464 9.222
## 1746 Tunisia 2013 5.246 9.240
## 1747 Tunisia 2014 4.764 9.260
## 1748 Tunisia 2015 5.132 9.261
## 1749 Tunisia 2016 4.521 9.262
## 1750 Tunisia 2017 4.124 9.269
## 1751 Tunisia 2018 4.741 9.284
## 1752 Tunisia 2019 4.315 9.283
## 1753 Tunisia 2020 4.731 9.231
## 1754 Turkey 2005 4.719 9.809
## 1755 Turkey 2007 5.623 9.903
## 1756 Turkey 2008 5.118 9.899
## 1757 Turkey 2009 5.213 9.838
## 1758 Turkey 2010 5.490 9.906
## 1759 Turkey 2011 5.272 9.996
## 1760 Turkey 2012 5.309 10.026
## 1761 Turkey 2013 4.888 10.091
## 1762 Turkey 2014 5.580 10.124
## 1763 Turkey 2015 5.514 10.166
## 1764 Turkey 2016 5.326 10.181
## 1765 Turkey 2017 5.607 10.238
## 1766 Turkey 2018 5.186 10.251
## 1767 Turkey 2019 4.872 10.246
## 1768 Turkey 2020 4.862 10.219
## 1769 Turkmenistan 2009 6.568 8.989
## 1770 Turkmenistan 2011 5.792 9.182
## 1771 Turkmenistan 2012 5.464 9.269
## 1772 Turkmenistan 2013 5.392 9.348
## 1773 Turkmenistan 2014 5.787 9.427
## 1774 Turkmenistan 2015 5.791 9.472
## 1775 Turkmenistan 2016 5.887 9.515
## 1776 Turkmenistan 2017 5.229 9.561
## 1777 Turkmenistan 2018 4.621 9.605
## 1778 Turkmenistan 2019 5.474 9.651
## 1779 Uganda 2006 3.734 7.370
## 1780 Uganda 2007 4.456 7.419
## 1781 Uganda 2008 4.569 7.471
## 1782 Uganda 2009 4.612 7.505
## 1783 Uganda 2010 4.193 7.528
## 1784 Uganda 2011 4.826 7.586
## 1785 Uganda 2012 4.309 7.592
## 1786 Uganda 2013 3.710 7.595
## 1787 Uganda 2014 3.770 7.611
## 1788 Uganda 2015 4.238 7.627
## 1789 Uganda 2016 4.233 7.637
## 1790 Uganda 2017 4.001 7.638
## 1791 Uganda 2018 4.322 7.660
## 1792 Uganda 2019 4.948 7.688
## 1793 Uganda 2020 4.641 7.684
## 1794 Ukraine 2006 4.804 9.380
## 1795 Ukraine 2007 5.252 9.459
## 1796 Ukraine 2008 5.172 9.488
## 1797 Ukraine 2009 5.166 9.332
## 1798 Ukraine 2010 5.058 9.374
## 1799 Ukraine 2011 5.083 9.431
## 1800 Ukraine 2012 5.030 9.436
## 1801 Ukraine 2013 4.711 9.438
## 1802 Ukraine 2014 4.297 9.426
## 1803 Ukraine 2015 3.965 9.327
## 1804 Ukraine 2016 4.029 9.353
## 1805 Ukraine 2017 4.311 9.382
## 1806 Ukraine 2018 4.662 9.420
## 1807 Ukraine 2019 4.702 9.458
## 1808 Ukraine 2020 5.270 9.428
## 1809 United Arab Emirates 2006 6.734 11.367
## 1810 United Arab Emirates 2009 6.866 10.975
## 1811 United Arab Emirates 2010 7.097 10.914
## 1812 United Arab Emirates 2011 7.119 10.935
## 1813 United Arab Emirates 2012 7.218 10.958
## 1814 United Arab Emirates 2013 6.621 11.001
## 1815 United Arab Emirates 2014 6.540 11.041
## 1816 United Arab Emirates 2015 6.568 11.086
## 1817 United Arab Emirates 2016 6.831 11.105
## 1818 United Arab Emirates 2017 7.039 11.115
## 1819 United Arab Emirates 2018 6.604 11.112
## 1820 United Arab Emirates 2019 6.711 11.114
## 1821 United Arab Emirates 2020 6.458 11.053
## 1822 United Kingdom 2005 6.984 10.663
## 1823 United Kingdom 2007 6.802 10.699
## 1824 United Kingdom 2008 6.986 10.689
## 1825 United Kingdom 2009 6.907 10.638
## 1826 United Kingdom 2010 7.029 10.649
## 1827 United Kingdom 2011 6.869 10.657
## 1828 United Kingdom 2012 6.881 10.664
## 1829 United Kingdom 2013 6.918 10.679
## 1830 United Kingdom 2014 6.758 10.697
## 1831 United Kingdom 2015 6.515 10.712
## 1832 United Kingdom 2016 6.824 10.724
## 1833 United Kingdom 2017 7.103 10.736
## 1834 United Kingdom 2018 7.233 10.743
## 1835 United Kingdom 2019 7.157 10.751
## 1836 United Kingdom 2020 6.798 10.626
## 1837 United States 2006 7.182 10.924
## 1838 United States 2007 7.513 10.933
## 1839 United States 2008 7.280 10.922
## 1840 United States 2009 7.158 10.888
## 1841 United States 2010 7.164 10.905
## 1842 United States 2011 7.115 10.913
## 1843 United States 2012 7.026 10.928
## 1844 United States 2013 7.249 10.939
## 1845 United States 2014 7.151 10.956
## 1846 United States 2015 6.864 10.977
## 1847 United States 2016 6.804 10.986
## 1848 United States 2017 6.992 11.001
## 1849 United States 2018 6.883 11.025
## 1850 United States 2019 6.944 11.043
## 1851 United States 2020 7.028 11.001
## 1852 Uruguay 2006 5.786 9.543
## 1853 Uruguay 2007 5.694 9.604
## 1854 Uruguay 2008 5.664 9.671
## 1855 Uruguay 2009 6.296 9.710
## 1856 Uruguay 2010 6.062 9.782
## 1857 Uruguay 2011 6.554 9.830
## 1858 Uruguay 2012 6.450 9.861
## 1859 Uruguay 2013 6.444 9.904
## 1860 Uruguay 2014 6.561 9.932
## 1861 Uruguay 2015 6.628 9.932
## 1862 Uruguay 2016 6.171 9.946
## 1863 Uruguay 2017 6.336 9.968
## 1864 Uruguay 2018 6.372 9.980
## 1865 Uruguay 2019 6.600 9.979
## 1866 Uruguay 2020 6.310 9.937
## 1867 Uzbekistan 2006 5.232 8.193
## 1868 Uzbekistan 2008 5.311 8.339
## 1869 Uzbekistan 2009 5.261 8.400
## 1870 Uzbekistan 2010 5.095 8.445
## 1871 Uzbekistan 2011 5.739 8.493
## 1872 Uzbekistan 2012 6.019 8.550
## 1873 Uzbekistan 2013 5.940 8.607
## 1874 Uzbekistan 2014 6.049 8.659
## 1875 Uzbekistan 2015 5.972 8.714
## 1876 Uzbekistan 2016 5.893 8.756
## 1877 Uzbekistan 2017 6.421 8.782
## 1878 Uzbekistan 2018 6.205 8.818
## 1879 Uzbekistan 2019 6.154 8.853
## 1880 Venezuela 2005 7.170 9.313
## 1881 Venezuela 2006 6.525 9.460
## 1882 Venezuela 2008 6.258 9.701
## 1883 Venezuela 2009 7.189 9.542
## 1884 Venezuela 2010 7.478 9.717
## 1885 Venezuela 2011 6.580 9.822
## 1886 Venezuela 2012 7.067 9.826
## 1887 Venezuela 2013 6.553 9.739
## 1888 Venezuela 2014 6.136 9.557
## 1889 Venezuela 2015 5.569 9.001
## 1890 Venezuela 2016 4.041 9.010
## 1891 Venezuela 2017 5.071 9.073
## 1892 Venezuela 2018 5.006 NA
## 1893 Venezuela 2019 5.081 NA
## 1894 Venezuela 2020 4.574 NA
## 1895 Vietnam 2006 5.294 8.335
## 1896 Vietnam 2007 5.422 8.394
## 1897 Vietnam 2008 5.480 8.440
## 1898 Vietnam 2009 5.304 8.483
## 1899 Vietnam 2010 5.296 8.535
## 1900 Vietnam 2011 5.767 8.585
## 1901 Vietnam 2012 5.535 8.626
## 1902 Vietnam 2013 5.023 8.668
## 1903 Vietnam 2014 5.085 8.716
## 1904 Vietnam 2015 5.076 8.770
## 1905 Vietnam 2016 5.062 8.820
## 1906 Vietnam 2017 5.175 8.876
## 1907 Vietnam 2018 5.296 8.934
## 1908 Vietnam 2019 5.467 8.992
## 1909 Yemen 2007 4.477 8.214
## 1910 Yemen 2009 4.809 8.278
## 1911 Yemen 2010 4.350 8.453
## 1912 Yemen 2011 3.746 8.336
## 1913 Yemen 2012 4.061 8.236
## 1914 Yemen 2013 4.218 8.242
## 1915 Yemen 2014 3.968 8.117
## 1916 Yemen 2015 2.983 7.858
## 1917 Yemen 2016 3.826 7.715
## 1918 Yemen 2017 3.254 7.578
## 1919 Yemen 2018 3.058 NA
## 1920 Yemen 2019 4.197 NA
## 1921 Zambia 2006 4.824 7.817
## 1922 Zambia 2007 3.998 7.871
## 1923 Zambia 2008 4.730 7.918
## 1924 Zambia 2009 5.260 7.978
## 1925 Zambia 2011 4.999 8.071
## 1926 Zambia 2012 5.013 8.114
## 1927 Zambia 2013 5.244 8.131
## 1928 Zambia 2014 4.346 8.146
## 1929 Zambia 2015 4.843 8.144
## 1930 Zambia 2016 4.348 8.151
## 1931 Zambia 2017 3.933 8.156
## 1932 Zambia 2018 4.041 8.167
## 1933 Zambia 2019 3.307 8.155
## 1934 Zambia 2020 4.838 8.117
## 1935 Zimbabwe 2006 3.826 7.711
## 1936 Zimbabwe 2007 3.280 7.666
## 1937 Zimbabwe 2008 3.174 7.461
## 1938 Zimbabwe 2009 4.056 7.563
## 1939 Zimbabwe 2010 4.682 7.729
## 1940 Zimbabwe 2011 4.846 7.846
## 1941 Zimbabwe 2012 4.955 7.983
## 1942 Zimbabwe 2013 4.690 7.985
## 1943 Zimbabwe 2014 4.184 7.991
## 1944 Zimbabwe 2015 3.703 7.992
## 1945 Zimbabwe 2016 3.735 7.984
## 1946 Zimbabwe 2017 3.638 8.016
## 1947 Zimbabwe 2018 3.616 8.049
## 1948 Zimbabwe 2019 2.694 7.950
## 1949 Zimbabwe 2020 3.160 7.829
## Social.support Positive.affect Healthy.life.expectancy.at.birth
## 1 0.451 0.518 50.800
## 2 0.552 0.584 51.200
## 3 0.539 0.618 51.600
## 4 0.521 0.611 51.920
## 5 0.521 0.710 52.240
## 6 0.484 0.621 52.560
## 7 0.526 0.532 52.880
## 8 0.529 0.554 53.200
## 9 0.559 0.565 53.000
## 10 0.491 0.496 52.800
## 11 0.508 0.424 52.600
## 12 0.420 0.351 52.400
## 13 0.821 0.553 65.800
## 14 0.833 0.640 66.200
## 15 0.733 0.648 66.400
## 16 0.759 0.628 66.680
## 17 0.785 0.607 66.960
## 18 0.759 0.634 67.240
## 19 0.626 0.685 67.520
## 20 0.639 0.688 67.800
## 21 0.638 0.675 68.100
## 22 0.638 0.669 68.400
## 23 0.684 0.713 68.700
## 24 0.686 0.681 69.000
## 25 0.710 0.679 69.300
## 26 NA NA 64.500
## 27 0.810 0.550 64.660
## 28 0.839 0.604 64.820
## 29 0.818 0.626 65.140
## 30 0.749 0.661 65.500
## 31 0.807 0.642 65.700
## 32 0.799 0.591 65.900
## 33 0.803 0.585 66.100
## 34 0.723 0.659 52.500
## 35 0.753 0.558 53.200
## 36 0.722 0.658 53.900
## 37 0.755 0.579 54.600
## 38 0.938 0.825 66.820
## 39 0.862 0.828 66.940
## 40 0.892 0.823 67.060
## 41 0.919 0.864 67.180
## 42 0.927 0.846 67.300
## 43 0.889 0.840 67.480
## 44 0.902 0.857 67.660
## 45 0.910 0.842 67.840
## 46 0.918 0.857 68.020
## 47 0.926 0.859 68.200
## 48 0.883 0.842 68.400
## 49 0.907 0.809 68.600
## 50 0.900 0.820 68.800
## 51 0.896 0.826 69.000
## 52 0.897 0.764 69.200
## 53 0.682 0.494 64.800
## 54 0.760 0.507 64.900
## 55 0.709 0.521 65.000
## 56 0.680 0.543 65.100
## 57 0.660 0.510 65.200
## 58 0.705 0.475 65.360
## 59 0.676 0.518 65.520
## 60 0.723 0.562 65.680
## 61 0.739 0.581 65.840
## 62 0.723 0.594 66.000
## 63 0.709 0.594 66.300
## 64 0.698 0.625 66.600
## 65 0.814 0.581 66.900
## 66 0.782 0.598 67.200
## 67 0.968 0.843 71.400
## 68 0.965 0.826 71.720
## 69 0.947 0.826 71.880
## 70 0.955 0.834 72.200
## 71 0.967 0.816 72.300
## 72 0.945 0.811 72.400
## 73 0.928 0.819 72.500
## 74 0.924 0.775 72.600
## 75 0.952 0.790 72.700
## 76 0.942 0.791 73.000
## 77 0.950 0.780 73.300
## 78 0.940 0.759 73.600
## 79 0.943 0.770 73.900
## 80 0.937 0.769 74.200
## 81 0.936 0.823 70.760
## 82 0.935 0.832 71.080
## 83 0.914 0.815 71.400
## 84 0.944 0.789 71.540
## 85 0.945 0.822 71.680
## 86 0.950 0.787 71.820
## 87 0.899 0.780 71.960
## 88 0.928 0.798 72.100
## 89 0.926 0.756 72.400
## 90 0.906 0.748 72.700
## 91 0.912 0.752 73.000
## 92 0.964 0.774 73.300
## 93 0.925 0.769 73.600
## 94 0.854 0.512 61.880
## 95 0.753 0.521 62.260
## 96 0.684 0.578 62.640
## 97 0.736 0.544 63.020
## 98 0.687 0.527 63.400
## 99 0.725 0.536 63.640
## 100 0.762 0.554 63.880
## 101 0.770 0.619 64.120
## 102 0.799 0.598 64.360
## 103 0.786 0.607 64.600
## 104 0.777 0.598 64.900
## 105 0.787 0.592 65.200
## 106 0.781 0.593 65.500
## 107 0.887 0.643 65.800
## 108 0.904 0.764 65.940
## 109 0.877 0.685 66.300
## 110 0.908 0.544 66.580
## 111 0.911 0.589 66.860
## 112 0.884 0.768 67.140
## 113 NA NA 67.420
## 114 0.853 0.716 67.700
## 115 0.863 0.787 68.100
## 116 0.876 0.814 68.500
## 117 0.878 0.762 69.300
## 118 0.848 0.790 69.700
## 119 0.672 0.600 59.020
## 120 0.514 0.635 59.440
## 121 0.467 0.725 59.860
## 122 0.528 0.670 60.280
## 123 0.549 0.629 60.700
## 124 0.606 0.685 61.120
## 125 0.582 0.714 61.540
## 126 0.530 0.619 61.960
## 127 0.577 NA 62.380
## 128 0.601 0.635 62.800
## 129 0.649 0.560 63.300
## 130 0.713 0.569 63.800
## 131 0.706 0.541 64.300
## 132 0.673 0.537 64.800
## 133 0.739 0.582 65.300
## 134 0.918 0.605 61.100
## 135 0.858 0.596 61.400
## 136 0.904 NA 61.700
## 137 0.908 0.566 62.000
## 138 0.918 0.567 62.300
## 139 0.910 0.521 62.880
## 140 0.902 0.523 63.460
## 141 0.923 0.609 64.040
## 142 0.880 0.619 64.620
## 143 0.924 0.584 65.200
## 144 0.927 0.554 65.500
## 145 0.900 0.541 65.800
## 146 0.905 0.450 66.100
## 147 0.917 0.591 66.400
## 148 0.935 0.796 69.900
## 149 0.922 0.813 70.260
## 150 0.923 0.813 70.440
## 151 0.931 0.828 70.800
## 152 0.937 0.835 70.920
## 153 0.927 0.820 71.040
## 154 0.909 0.797 71.160
## 155 0.944 0.798 71.280
## 156 0.885 0.805 71.400
## 157 0.929 0.765 71.600
## 158 0.922 0.786 71.800
## 159 0.930 0.750 72.000
## 160 0.884 0.733 72.200
## 161 0.904 0.647 72.400
## 162 0.872 0.759 61.600
## 163 0.757 0.755 62.220
## 164 0.445 0.587 50.100
## 165 0.382 0.584 50.900
## 166 0.477 0.626 51.980
## 167 0.523 0.583 52.260
## 168 0.577 0.702 52.540
## 169 0.506 0.590 52.820
## 170 0.434 0.592 53.100
## 171 0.493 0.608 53.500
## 172 0.436 0.615 53.900
## 173 0.504 0.647 54.300
## 174 0.442 0.659 54.700
## 175 0.507 0.609 55.100
## 176 0.819 0.779 59.600
## 177 0.880 0.859 59.900
## 178 0.848 0.810 60.200
## 179 0.834 0.739 59.000
## 180 0.796 0.771 59.500
## 181 0.785 0.781 60.000
## 182 0.831 0.797 60.500
## 183 0.807 0.766 61.000
## 184 0.817 0.761 61.340
## 185 0.781 0.782 61.680
## 186 0.803 0.759 62.020
## 187 0.821 0.809 62.360
## 188 0.829 0.786 62.700
## 189 0.796 0.783 63.000
## 190 0.779 0.698 63.300
## 191 0.827 0.742 63.600
## 192 0.784 0.751 63.900
## 193 0.805 0.790 64.200
## 194 0.766 0.613 66.040
## 195 0.735 0.572 66.480
## 196 0.773 0.517 66.700
## 197 0.725 0.596 66.740
## 198 0.779 0.548 66.780
## 199 0.767 0.544 66.820
## 200 0.788 0.531 66.860
## 201 0.656 0.534 66.900
## 202 0.808 0.641 67.200
## 203 0.775 0.597 67.500
## 204 0.836 0.643 67.800
## 205 0.873 0.633 68.100
## 206 0.899 0.644 68.400
## 207 0.883 0.688 46.820
## 208 0.832 0.731 49.860
## 209 0.866 0.690 52.900
## 210 0.860 0.739 53.680
## 211 0.837 0.773 54.460
## 212 0.856 0.698 55.240
## 213 0.859 0.674 56.020
## 214 0.816 0.746 56.800
## 215 0.768 0.686 57.500
## 216 0.768 0.656 58.200
## 217 0.795 0.730 58.900
## 218 0.774 0.712 59.600
## 219 0.883 0.818 63.300
## 220 0.886 0.859 63.780
## 221 0.878 0.820 64.020
## 222 0.913 0.833 64.260
## 223 0.906 0.817 64.500
## 224 0.916 0.807 64.760
## 225 0.890 0.755 65.020
## 226 0.910 0.818 65.280
## 227 0.898 0.788 65.540
## 228 0.907 0.755 65.800
## 229 0.912 0.763 66.000
## 230 0.905 0.716 66.200
## 231 0.882 0.750 66.400
## 232 0.899 0.761 66.600
## 233 0.831 0.692 66.800
## 234 0.832 0.594 65.100
## 235 0.843 0.546 65.700
## 236 0.860 0.534 65.800
## 237 0.838 0.573 65.900
## 238 0.829 0.623 66.000
## 239 0.886 0.628 66.100
## 240 0.908 0.643 66.200
## 241 0.926 0.622 66.400
## 242 0.942 0.614 66.600
## 243 0.924 0.639 66.800
## 244 0.948 0.663 67.000
## 245 0.916 0.706 67.200
## 246 0.796 0.716 46.660
## 247 0.771 0.651 47.420
## 248 0.727 0.523 48.180
## 249 0.773 0.590 49.700
## 250 0.710 0.579 50.240
## 251 0.744 0.545 50.780
## 252 0.745 0.630 51.320
## 253 0.742 0.614 51.860
## 254 0.705 0.579 52.400
## 255 0.764 0.616 52.900
## 256 0.785 0.585 53.400
## 257 0.665 0.711 53.900
## 258 0.683 0.691 54.400
## 259 0.291 0.440 49.020
## 260 0.326 0.641 49.660
## 261 0.422 0.689 50.680
## 262 0.565 0.656 51.820
## 263 0.485 0.666 53.400
## 264 0.793 0.719 55.300
## 265 0.675 NA 56.100
## 266 0.619 0.739 56.900
## 267 0.818 0.796 57.700
## 268 0.697 0.774 58.500
## 269 0.716 0.799 58.880
## 270 0.606 0.820 59.260
## 271 0.651 0.792 59.640
## 272 0.693 0.783 60.020
## 273 0.729 0.813 60.400
## 274 0.746 0.839 60.800
## 275 0.765 0.799 61.200
## 276 0.795 0.845 61.600
## 277 0.759 0.844 62.000
## 278 0.724 0.878 62.400
## 279 0.690 0.606 45.980
## 280 0.717 0.635 46.560
## 281 0.697 0.600 47.140
## 282 0.729 0.593 47.720
## 283 0.759 0.606 48.300
## 284 0.738 0.598 48.700
## 285 0.743 0.618 49.100
## 286 0.760 0.681 49.500
## 287 0.778 0.623 49.900
## 288 0.646 0.651 50.300
## 289 0.659 0.662 51.100
## 290 0.695 0.632 51.900
## 291 0.677 0.642 52.700
## 292 0.711 0.629 53.500
## 293 0.720 0.630 54.300
## 294 0.962 0.839 71.300
## 295 NA 0.872 71.660
## 296 0.939 0.890 71.840
## 297 0.943 0.867 72.020
## 298 0.954 0.879 72.200
## 299 0.922 0.881 72.360
## 300 0.948 0.857 72.520
## 301 0.936 0.851 72.680
## 302 0.918 0.833 72.840
## 303 0.939 0.845 73.000
## 304 0.924 0.825 73.200
## 305 0.934 0.863 73.400
## 306 0.923 0.824 73.600
## 307 0.925 0.822 73.800
## 308 0.931 0.796 74.000
## 309 0.532 0.568 40.900
## 310 0.483 0.523 42.700
## 311 0.387 0.524 43.080
## 312 0.290 0.579 44.900
## 313 0.320 0.614 45.200
## 314 0.724 0.580 43.180
## 315 0.479 0.614 43.660
## 316 0.571 0.569 44.140
## 317 0.646 0.557 44.620
## 318 0.734 0.545 45.100
## 319 0.819 0.591 45.420
## 320 0.673 0.527 45.740
## 321 0.714 0.462 46.060
## 322 0.733 0.536 46.380
## 323 0.751 0.607 46.700
## 324 0.616 0.582 47.200
## 325 0.661 0.628 47.700
## 326 0.577 0.553 48.200
## 327 0.640 0.587 48.700
## 328 0.836 0.804 68.660
## 329 0.815 0.767 68.720
## 330 0.804 0.757 68.780
## 331 0.832 0.808 68.840
## 332 0.857 0.809 68.900
## 333 0.819 0.804 69.040
## 334 0.855 0.815 69.180
## 335 0.862 0.855 69.320
## 336 0.862 0.870 69.460
## 337 0.827 0.803 69.600
## 338 0.841 0.869 69.700
## 339 0.880 0.838 69.800
## 340 0.890 0.833 69.900
## 341 0.869 0.809 70.000
## 342 0.888 0.815 70.100
## 343 0.747 0.809 66.880
## 344 0.811 0.817 67.060
## 345 0.748 0.817 67.240
## 346 0.798 0.786 67.420
## 347 0.768 0.765 67.600
## 348 0.787 0.820 67.760
## 349 0.788 0.821 67.920
## 350 0.778 0.836 68.080
## 351 0.820 0.854 68.240
## 352 0.794 0.809 68.400
## 353 0.742 0.826 68.700
## 354 0.772 0.821 69.000
## 355 0.788 0.856 69.300
## 356 0.822 0.891 69.600
## 357 0.808 0.789 69.900
## 358 0.910 0.800 65.220
## 359 0.894 0.808 65.340
## 360 0.880 0.803 65.460
## 361 0.886 0.843 65.580
## 362 0.893 0.831 65.700
## 363 0.904 0.832 65.920
## 364 0.914 0.846 66.140
## 365 0.901 0.851 66.360
## 366 0.907 0.847 66.580
## 367 0.890 0.839 66.800
## 368 0.882 0.794 67.100
## 369 0.909 0.837 67.400
## 370 0.871 0.825 67.700
## 371 0.873 0.822 68.000
## 372 0.797 0.795 68.300
## 373 0.629 0.672 54.360
## 374 0.721 0.728 54.700
## 375 0.722 0.667 55.020
## 376 0.719 0.612 55.340
## 377 0.621 0.748 57.200
## 378 0.632 0.736 57.500
## 379 0.555 0.573 52.200
## 380 0.637 0.621 54.580
## 381 0.622 0.564 54.960
## 382 0.680 0.610 55.340
## 383 0.686 0.595 55.720
## 384 0.642 0.606 56.100
## 385 0.615 0.610 56.700
## 386 0.655 0.599 57.300
## 387 0.621 0.588 57.900
## 388 0.625 0.645 58.500
## 389 0.733 0.491 49.340
## 390 0.744 0.617 50.340
## 391 0.770 0.634 50.780
## 392 0.830 0.589 51.220
## 393 0.822 0.559 51.660
## 394 0.767 0.589 52.100
## 395 0.864 0.646 52.500
## 396 0.670 0.551 52.900
## 397 0.937 0.868 69.940
## 398 0.918 0.875 69.880
## 399 0.916 0.844 69.820
## 400 0.900 0.876 69.760
## 401 0.915 0.886 69.700
## 402 0.892 0.876 69.900
## 403 0.902 0.897 70.100
## 404 0.902 0.850 70.300
## 405 0.914 0.837 70.500
## 406 0.878 0.850 70.700
## 407 0.901 0.874 70.900
## 408 0.922 0.874 71.100
## 409 0.876 0.870 71.300
## 410 0.906 0.848 71.500
## 411 0.910 0.586 67.120
## 412 0.861 0.637 67.640
## 413 0.796 0.607 67.900
## 414 0.790 0.598 68.000
## 415 0.776 0.622 68.100
## 416 0.751 0.590 68.200
## 417 0.646 0.596 68.300
## 418 0.768 0.609 68.400
## 419 0.798 0.614 69.000
## 420 0.770 0.655 69.600
## 421 0.910 0.582 70.200
## 422 0.936 0.551 70.800
## 423 0.923 0.743 71.400
## 424 0.970 0.647 68.440
## 425 0.878 0.829 71.440
## 426 0.812 0.746 72.160
## 427 0.822 0.786 72.400
## 428 0.844 0.763 72.540
## 429 0.767 0.755 72.680
## 430 0.744 0.748 72.820
## 431 0.770 0.737 72.960
## 432 0.770 0.747 73.100
## 433 0.786 0.742 73.300
## 434 0.819 0.784 73.500
## 435 0.826 0.750 73.700
## 436 0.776 0.763 73.900
## 437 0.806 0.759 74.100
## 438 0.919 0.723 67.000
## 439 0.900 0.736 67.440
## 440 0.934 0.641 68.100
## 441 0.914 0.601 68.240
## 442 0.912 0.609 68.380
## 443 0.888 0.720 68.520
## 444 0.878 0.678 68.660
## 445 0.911 0.751 68.800
## 446 0.931 0.756 69.300
## 447 0.901 0.739 69.800
## 448 0.929 0.714 70.300
## 449 0.964 0.832 71.300
## 450 0.972 0.860 69.600
## 451 0.954 0.828 69.920
## 452 0.954 0.757 70.080
## 453 0.939 0.749 70.240
## 454 0.975 0.785 70.400
## 455 0.962 0.769 70.620
## 456 0.951 0.774 70.840
## 457 0.965 0.862 71.060
## 458 0.956 0.832 71.280
## 459 0.960 0.829 71.500
## 460 0.954 0.836 71.800
## 461 0.952 0.824 72.100
## 462 0.958 0.821 72.400
## 463 0.958 0.862 72.700
## 464 0.947 0.818 73.000
## 465 0.690 0.755 53.260
## 466 0.901 0.662 53.780
## 467 NA NA 54.300
## 468 0.633 0.579 54.700
## 469 0.919 0.748 62.680
## 470 0.848 0.767 62.960
## 471 0.850 0.732 63.240
## 472 0.878 0.785 63.520
## 473 0.860 0.787 63.800
## 474 0.872 0.809 64.020
## 475 0.879 0.797 64.240
## 476 0.878 0.793 64.460
## 477 0.891 0.798 64.680
## 478 0.893 0.714 64.900
## 479 0.895 0.760 65.200
## 480 0.894 0.739 65.500
## 481 0.862 0.745 65.800
## 482 0.884 0.784 66.100
## 483 0.806 0.734 66.400
## 484 0.910 0.825 66.080
## 485 0.839 0.833 66.260
## 486 0.829 0.843 66.440
## 487 0.779 0.840 66.620
## 488 0.839 0.826 66.800
## 489 0.818 0.862 66.960
## 490 0.785 0.847 67.120
## 491 0.801 0.851 67.280
## 492 0.831 0.859 67.440
## 493 0.856 0.851 67.600
## 494 0.842 0.846 67.900
## 495 0.849 0.829 68.200
## 496 0.851 0.876 68.500
## 497 0.808 0.811 68.800
## 498 0.804 0.790 69.100
## 499 0.848 0.735 59.700
## 500 0.686 0.665 59.820
## 501 0.738 0.683 59.880
## 502 0.744 0.642 59.940
## 503 0.769 0.567 60.000
## 504 0.753 0.529 60.160
## 505 0.737 0.527 60.320
## 506 0.675 0.551 60.480
## 507 0.619 0.543 60.640
## 508 0.730 0.610 60.800
## 509 0.809 0.611 61.100
## 510 0.638 0.539 61.400
## 511 0.759 0.492 61.700
## 512 0.772 0.517 62.000
## 513 0.673 0.599 62.300
## 514 0.878 0.864 62.920
## 515 0.717 0.869 63.240
## 516 0.747 0.842 63.560
## 517 0.734 0.850 63.880
## 518 0.757 0.814 64.200
## 519 0.731 0.875 64.400
## 520 0.806 0.831 64.600
## 521 0.827 0.828 64.800
## 522 0.798 0.837 65.000
## 523 0.791 0.826 65.200
## 524 0.794 0.761 65.500
## 525 0.829 0.849 65.800
## 526 0.820 0.860 66.100
## 527 0.764 0.871 66.400
## 528 0.696 0.839 66.700
## 529 0.910 0.655 64.860
## 530 0.896 0.666 65.320
## 531 0.904 0.597 65.780
## 532 0.874 0.598 66.240
## 533 0.909 0.651 66.960
## 534 0.889 0.647 67.220
## 535 0.901 0.702 67.480
## 536 0.917 0.680 67.740
## 537 0.918 0.723 68.000
## 538 0.938 0.726 68.200
## 539 0.936 0.805 68.400
## 540 0.933 0.795 68.600
## 541 0.934 0.804 68.800
## 542 0.958 0.807 69.000
## 543 0.659 0.668 55.200
## 544 0.602 0.643 55.800
## 545 0.640 0.738 56.400
## 546 0.626 0.714 57.000
## 547 0.719 0.727 57.500
## 548 0.734 0.609 58.000
## 549 0.740 0.660 58.500
## 550 0.748 0.631 59.000
## 551 0.823 0.669 59.500
## 552 0.965 0.722 69.760
## 553 0.951 0.773 70.080
## 554 0.935 0.832 70.400
## 555 0.938 0.773 70.640
## 556 0.928 0.796 70.880
## 557 0.941 0.769 71.120
## 558 0.952 0.784 71.360
## 559 0.948 0.751 71.600
## 560 0.954 0.797 71.700
## 561 0.964 0.787 71.800
## 562 0.962 0.782 71.900
## 563 0.937 0.755 72.000
## 564 0.962 0.744 72.100
## 565 0.940 0.769 71.300
## 566 0.944 0.777 71.480
## 567 0.935 0.746 71.840
## 568 0.918 0.763 72.020
## 569 0.943 0.790 72.200
## 570 0.921 0.781 72.400
## 571 0.937 0.754 72.600
## 572 0.908 0.800 72.800
## 573 0.878 0.811 73.000
## 574 0.896 0.786 73.200
## 575 0.885 0.773 73.400
## 576 0.931 0.762 73.600
## 577 0.921 0.767 73.800
## 578 0.958 0.735 74.000
## 579 0.947 0.732 74.200
## 580 0.653 0.591 55.480
## 581 0.736 0.470 56.160
## 582 0.733 0.510 56.840
## 583 0.829 0.539 57.520
## 584 0.756 0.626 58.200
## 585 0.780 0.640 58.700
## 586 0.807 0.634 59.200
## 587 0.785 0.641 59.700
## 588 0.763 0.693 60.200
## 589 0.697 0.838 54.700
## 590 0.685 0.804 55.000
## 591 0.694 0.773 55.300
## 592 0.647 0.433 65.120
## 593 0.548 0.427 65.040
## 594 0.608 0.441 64.960
## 595 0.544 0.492 64.880
## 596 0.540 0.502 64.800
## 597 0.503 0.515 64.860
## 598 0.533 0.559 64.920
## 599 0.559 0.595 64.980
## 600 0.558 0.570 65.040
## 601 0.517 0.547 65.100
## 602 0.533 0.564 64.900
## 603 0.590 0.581 64.700
## 604 0.617 0.573 64.500
## 605 0.675 0.604 64.300
## 606 0.718 0.611 64.100
## 607 0.963 0.776 70.200
## 608 0.926 0.732 70.480
## 609 0.923 0.787 70.620
## 610 0.935 0.792 70.760
## 611 0.939 0.794 70.900
## 612 0.947 0.794 70.980
## 613 0.926 0.804 71.060
## 614 0.931 0.743 71.140
## 615 0.938 0.785 71.220
## 616 0.926 0.765 71.300
## 617 0.906 0.738 71.600
## 618 0.892 0.737 71.900
## 619 0.920 0.780 72.200
## 620 0.886 0.751 72.500
## 621 0.905 0.760 72.800
## 622 0.728 0.671 52.340
## 623 0.730 0.686 52.780
## 624 0.622 0.717 53.220
## 625 0.633 0.774 53.660
## 626 0.739 0.783 54.100
## 627 0.724 0.744 54.480
## 628 0.685 0.760 54.860
## 629 0.676 0.691 55.240
## 630 0.651 0.696 55.620
## 631 0.687 0.690 56.000
## 632 0.647 0.668 56.400
## 633 0.669 0.703 56.800
## 634 0.761 0.747 57.200
## 635 0.746 0.682 57.600
## 636 0.643 0.713 58.000
## 637 0.837 0.692 70.500
## 638 0.808 0.738 70.900
## 639 0.793 0.649 71.300
## 640 0.868 0.634 71.500
## 641 0.852 0.591 71.560
## 642 0.812 0.581 71.620
## 643 0.687 0.689 71.680
## 644 0.832 0.695 71.740
## 645 0.835 0.740 71.800
## 646 0.803 0.701 72.000
## 647 0.753 0.603 72.200
## 648 0.794 0.666 72.400
## 649 0.891 0.668 72.600
## 650 0.779 0.684 72.800
## 651 0.830 0.818 60.740
## 652 0.866 0.819 61.080
## 653 0.866 0.834 61.420
## 654 0.834 0.829 61.760
## 655 0.859 0.850 62.100
## 656 0.768 0.844 62.460
## 657 0.802 0.863 62.820
## 658 0.830 0.867 63.180
## 659 0.834 0.835 63.540
## 660 0.823 0.851 63.900
## 661 0.811 0.846 64.200
## 662 0.826 0.846 64.500
## 663 0.841 0.871 64.800
## 664 0.774 0.859 65.100
## 665 0.598 0.701 50.220
## 666 0.542 0.677 50.440
## 667 0.567 0.600 50.660
## 668 0.638 0.629 50.880
## 669 0.579 0.667 51.100
## 670 0.675 0.687 52.200
## 671 0.634 0.704 53.300
## 672 0.630 0.744 54.400
## 673 0.655 0.685 55.500
## 674 0.849 0.768 57.260
## 675 0.694 0.613 48.460
## 676 0.679 0.608 40.380
## 677 0.554 0.555 32.300
## 678 0.567 0.625 36.860
## 679 0.749 0.593 41.420
## 680 0.648 0.538 45.980
## 681 0.554 0.593 50.540
## 682 0.564 0.619 55.100
## 683 0.584 0.553 55.300
## 684 0.647 0.573 55.500
## 685 0.538 0.584 55.700
## 686 0.933 0.858 64.540
## 687 0.819 0.759 64.780
## 688 0.828 0.789 65.020
## 689 0.824 0.803 65.260
## 690 0.803 0.797 65.500
## 691 0.766 0.816 65.720
## 692 0.779 0.847 65.940
## 693 0.792 0.817 66.160
## 694 0.790 0.820 66.380
## 695 0.772 0.863 66.600
## 696 0.774 0.832 66.800
## 697 0.843 0.842 67.000
## 698 0.827 0.872 67.200
## 699 0.797 0.850 67.400
## 700 0.812 0.723 NA
## 701 0.840 0.719 NA
## 702 0.835 0.762 NA
## 703 0.857 0.710 NA
## 704 0.846 0.734 NA
## 705 0.826 0.715 NA
## 706 0.834 0.684 NA
## 707 0.832 0.664 NA
## 708 0.831 0.640 NA
## 709 0.856 0.599 NA
## 710 0.813 0.609 NA
## 711 0.930 0.675 64.600
## 712 0.931 0.701 65.000
## 713 0.901 0.664 65.400
## 714 0.896 0.656 65.600
## 715 0.894 0.642 65.760
## 716 0.906 0.652 65.920
## 717 0.877 0.706 66.080
## 718 0.845 0.651 66.240
## 719 0.859 0.707 66.400
## 720 0.900 0.666 66.800
## 721 0.877 0.735 67.200
## 722 0.941 0.676 67.600
## 723 0.947 0.743 68.000
## 724 0.943 0.735 68.400
## 725 0.977 0.880 72.320
## 726 0.979 0.900 72.760
## 727 0.967 0.870 72.840
## 728 0.980 0.849 73.000
## 729 0.985 0.874 73.000
## 730 0.967 0.895 73.000
## 731 0.982 0.836 73.000
## 732 0.983 0.863 73.000
## 733 0.707 0.687 55.720
## 734 0.569 0.668 56.140
## 735 0.684 0.674 56.560
## 736 0.653 0.771 56.980
## 737 0.605 0.697 57.400
## 738 0.553 0.648 57.700
## 739 0.511 0.629 58.000
## 740 0.553 0.680 58.300
## 741 0.621 0.711 58.600
## 742 0.610 0.701 58.900
## 743 0.614 0.695 59.300
## 744 0.607 0.682 59.700
## 745 0.638 0.657 60.100
## 746 0.561 0.648 60.500
## 747 0.617 0.752 60.900
## 748 0.771 0.825 59.840
## 749 0.704 0.812 59.980
## 750 0.675 0.774 60.120
## 751 0.779 0.865 60.260
## 752 0.816 0.837 60.400
## 753 0.825 0.864 60.620
## 754 0.834 0.897 60.840
## 755 0.794 0.893 61.060
## 756 0.905 0.852 61.280
## 757 0.809 0.876 61.500
## 758 0.792 0.833 61.700
## 759 0.796 0.863 61.900
## 760 0.809 0.864 62.100
## 761 0.802 0.877 62.300
## 762 0.766 0.608 62.000
## 763 0.718 0.626 62.760
## 764 0.633 0.624 63.140
## 765 0.582 0.578 64.140
## 766 0.600 0.609 64.380
## 767 0.664 0.659 64.620
## 768 0.644 0.618 64.860
## 769 0.572 0.645 65.100
## 770 0.566 0.687 65.400
## 771 0.714 0.694 65.700
## 772 0.674 0.553 66.000
## 773 0.698 0.600 66.300
## 774 0.757 0.582 66.600
## 775 0.744 0.525 58.320
## 776 0.862 0.523 58.960
## 777 0.854 0.542 59.600
## 778 0.751 0.488 59.360
## 779 0.730 0.423 59.120
## 780 0.728 NA 58.880
## 781 0.725 0.574 58.640
## 782 0.684 0.490 58.400
## 783 0.719 0.489 59.000
## 784 0.695 0.505 59.600
## 785 0.764 0.605 60.200
## 786 0.708 0.644 61.400
## 787 0.967 0.878 70.140
## 788 0.983 0.875 70.820
## 789 0.959 0.862 71.160
## 790 0.973 0.876 71.500
## 791 0.977 0.865 71.600
## 792 0.962 0.835 71.700
## 793 0.955 0.814 71.800
## 794 0.968 0.784 71.900
## 795 0.953 0.799 72.000
## 796 0.958 0.809 72.100
## 797 0.943 0.833 72.200
## 798 0.938 0.811 72.300
## 799 0.944 0.807 72.400
## 800 0.960 0.797 72.500
## 801 0.927 0.696 71.120
## 802 0.868 0.696 71.440
## 803 0.859 0.710 71.760
## 804 0.937 0.695 72.080
## 805 0.882 0.679 72.400
## 806 0.893 0.738 72.460
## 807 0.903 0.665 72.520
## 808 0.909 0.698 72.580
## 809 0.889 0.604 72.640
## 810 0.864 0.697 72.700
## 811 0.890 0.629 72.900
## 812 0.916 0.674 73.100
## 813 0.910 0.663 73.300
## 814 0.946 0.635 73.500
## 815 0.959 0.621 73.700
## 816 0.928 0.679 71.900
## 817 0.912 0.716 72.260
## 818 0.880 0.637 72.440
## 819 0.880 0.775 72.620
## 820 0.872 0.596 72.800
## 821 0.913 0.658 72.840
## 822 0.869 0.670 72.880
## 823 0.916 0.779 72.920
## 824 0.898 0.716 72.960
## 825 0.909 0.692 73.000
## 826 0.927 0.685 73.200
## 827 0.920 0.661 73.400
## 828 0.913 0.649 73.600
## 829 0.838 0.631 73.800
## 830 0.890 0.670 74.000
## 831 0.667 0.604 45.780
## 832 0.709 0.743 47.100
## 833 0.711 0.647 47.400
## 834 0.704 0.664 47.700
## 835 0.617 0.704 48.300
## 836 0.661 0.698 48.900
## 837 0.621 0.682 49.500
## 838 0.679 0.674 50.100
## 839 0.613 0.693 50.700
## 840 0.909 0.788 64.900
## 841 0.855 0.836 66.220
## 842 0.865 0.734 66.460
## 843 0.874 0.737 66.580
## 844 0.913 0.769 67.100
## 845 0.878 0.752 67.500
## 846 0.928 0.739 73.200
## 847 0.938 0.731 73.440
## 848 0.887 0.780 73.560
## 849 0.888 0.785 73.680
## 850 0.902 0.827 73.800
## 851 0.917 0.776 73.980
## 852 0.905 0.777 74.160
## 853 0.924 0.794 74.340
## 854 0.900 0.742 74.520
## 855 0.923 0.768 74.700
## 856 0.900 0.760 74.800
## 857 0.882 0.740 74.900
## 858 0.886 0.703 75.000
## 859 0.878 0.743 75.100
## 860 0.887 0.742 75.200
## 861 0.920 0.696 63.500
## 862 0.841 0.683 63.980
## 863 0.766 0.669 64.220
## 864 0.899 0.645 64.460
## 865 0.918 0.643 64.700
## 866 0.878 0.612 65.000
## 867 0.829 0.565 65.300
## 868 0.840 0.684 65.600
## 869 0.816 0.660 65.900
## 870 0.830 0.690 66.200
## 871 0.820 0.641 66.400
## 872 0.815 0.628 66.600
## 873 0.800 NA 66.800
## 874 0.793 NA 67.000
## 875 0.709 NA 67.200
## 876 0.872 0.669 58.200
## 877 0.861 0.651 58.700
## 878 0.839 0.675 59.200
## 879 0.893 0.679 59.700
## 880 0.904 0.692 60.200
## 881 0.905 0.695 60.720
## 882 0.892 0.740 61.240
## 883 0.889 0.674 61.760
## 884 0.795 0.718 62.280
## 885 0.931 0.730 62.800
## 886 0.928 0.702 63.400
## 887 0.914 0.757 64.000
## 888 0.937 0.693 64.600
## 889 0.951 0.787 65.200
## 890 0.966 0.684 65.800
## 891 0.909 0.705 50.220
## 892 0.841 0.725 51.540
## 893 0.827 0.772 52.860
## 894 0.789 0.772 54.180
## 895 0.805 0.819 55.500
## 896 0.846 0.760 56.060
## 897 0.831 0.707 56.620
## 898 0.825 0.765 57.180
## 899 0.765 0.814 57.740
## 900 0.777 0.702 58.300
## 901 0.706 0.743 58.900
## 902 0.715 0.788 59.500
## 903 0.707 0.759 60.100
## 904 0.676 0.751 60.700
## 905 0.674 0.733 61.300
## 906 0.848 0.655 NA
## 907 0.884 NA NA
## 908 0.830 0.598 NA
## 909 0.708 0.695 NA
## 910 0.759 0.696 NA
## 911 0.757 0.596 NA
## 912 0.721 0.692 NA
## 913 0.706 0.636 NA
## 914 0.805 0.753 NA
## 915 0.824 0.704 NA
## 916 0.792 0.738 NA
## 917 0.822 0.778 NA
## 918 0.843 0.749 NA
## 919 0.792 0.726 NA
## 920 0.919 0.846 63.960
## 921 0.926 0.718 64.440
## 922 0.893 0.718 64.600
## 923 0.882 0.793 64.900
## 924 0.889 0.821 65.200
## 925 0.862 0.752 65.500
## 926 NA NA 65.800
## 927 0.823 0.723 66.100
## 928 0.845 0.688 66.300
## 929 0.853 0.692 66.500
## 930 0.842 0.695 66.900
## 931 0.844 0.655 59.980
## 932 0.833 0.655 60.260
## 933 0.792 0.623 60.540
## 934 0.855 0.607 60.820
## 935 0.885 0.650 61.100
## 936 0.891 0.681 61.520
## 937 0.856 0.691 61.940
## 938 0.851 0.722 62.360
## 939 0.898 0.725 62.780
## 940 0.857 0.767 63.200
## 941 0.914 0.778 63.500
## 942 0.883 0.755 63.800
## 943 0.898 0.763 64.100
## 944 0.877 0.766 64.400
## 945 0.902 0.803 64.700
## 946 0.807 0.886 53.920
## 947 0.790 0.861 54.440
## 948 0.807 0.829 54.960
## 949 0.691 0.900 56.300
## 950 0.693 0.917 56.600
## 951 0.707 0.873 58.300
## 952 0.705 0.852 58.700
## 953 0.729 0.878 59.100
## 954 0.660 0.822 59.500
## 955 0.884 0.654 63.160
## 956 0.836 0.673 63.520
## 957 0.855 0.639 63.880
## 958 0.807 0.525 64.240
## 959 0.836 0.563 64.860
## 960 0.851 0.560 65.120
## 961 0.834 0.642 65.380
## 962 0.881 0.652 65.640
## 963 0.879 0.608 65.900
## 964 0.917 0.654 66.200
## 965 0.895 0.623 66.500
## 966 0.913 0.585 66.800
## 967 0.936 0.575 67.100
## 968 0.928 0.714 67.400
## 969 0.796 0.584 64.600
## 970 0.853 0.548 64.720
## 971 0.717 0.527 64.960
## 972 0.736 0.528 65.080
## 973 0.721 0.525 65.200
## 974 0.733 0.578 65.280
## 975 0.713 0.499 65.360
## 976 0.708 0.499 65.440
## 977 0.759 0.559 65.520
## 978 0.742 0.568 65.600
## 979 0.828 0.553 66.100
## 980 0.777 0.515 66.600
## 981 0.829 0.464 67.100
## 982 0.866 0.322 67.600
## 983 0.824 0.793 45.740
## 984 0.798 0.732 46.600
## 985 0.769 0.746 47.300
## 986 0.790 0.735 48.700
## 987 0.594 0.613 49.140
## 988 0.619 0.585 49.960
## 989 0.827 0.595 51.600
## 990 0.708 0.543 53.280
## 991 0.638 0.505 53.700
## 992 0.643 0.636 54.500
## 993 0.685 0.668 55.300
## 994 0.727 0.660 56.100
## 995 0.712 0.636 56.900
## 996 0.855 0.695 62.660
## 997 0.868 0.704 62.300
## 998 0.876 0.718 62.300
## 999 0.823 0.697 62.300
## 1000 0.824 0.706 62.300
## 1001 0.827 0.709 62.300
## 1002 0.930 0.621 63.140
## 1003 0.941 0.589 63.480
## 1004 0.914 0.533 63.820
## 1005 0.933 0.526 64.160
## 1006 0.882 0.473 64.500
## 1007 0.911 0.570 64.700
## 1008 0.919 0.581 64.900
## 1009 0.913 0.581 65.100
## 1010 0.908 0.619 65.300
## 1011 0.929 0.595 65.500
## 1012 0.938 0.594 66.100
## 1013 0.926 0.608 66.700
## 1014 0.929 0.517 67.300
## 1015 0.918 0.566 67.900
## 1016 0.953 0.660 68.500
## 1017 0.939 0.799 71.440
## 1018 0.952 0.809 71.700
## 1019 0.934 0.836 71.880
## 1020 0.914 0.815 72.060
## 1021 0.917 0.640 72.240
## 1022 0.875 0.803 72.420
## 1023 0.934 0.757 72.600
## 1024 0.941 0.758 72.600
## 1025 0.905 0.766 72.600
## 1026 0.902 0.750 72.600
## 1027 0.912 0.789 72.600
## 1028 0.711 0.702 54.040
## 1029 0.776 0.614 54.920
## 1030 0.818 0.510 56.220
## 1031 0.673 0.690 56.640
## 1032 0.673 0.734 57.060
## 1033 0.655 0.748 57.480
## 1034 0.647 0.802 57.900
## 1035 0.746 0.813 58.300
## 1036 0.626 0.752 58.700
## 1037 0.666 0.752 59.100
## 1038 0.701 0.723 59.500
## 1039 0.554 0.670 44.880
## 1040 0.600 0.727 46.260
## 1041 0.718 0.765 49.020
## 1042 0.613 0.713 51.420
## 1043 0.604 0.816 52.440
## 1044 0.563 0.808 53.460
## 1045 0.512 0.704 54.480
## 1046 0.494 0.633 55.500
## 1047 0.524 0.603 56.200
## 1048 0.555 0.609 56.900
## 1049 0.528 0.586 57.600
## 1050 0.549 0.537 58.300
## 1051 0.866 0.750 64.960
## 1052 0.871 0.775 65.120
## 1053 0.803 0.815 65.280
## 1054 0.792 0.822 65.440
## 1055 0.839 0.832 65.600
## 1056 0.770 0.887 65.760
## 1057 0.841 0.867 65.920
## 1058 0.831 0.736 66.080
## 1059 0.863 0.770 66.240
## 1060 0.818 0.775 66.400
## 1061 0.789 0.824 67.000
## 1062 0.842 0.834 67.200
## 1063 0.913 NA 70.600
## 1064 0.761 0.767 45.920
## 1065 0.747 0.682 47.160
## 1066 0.733 0.760 47.780
## 1067 0.751 0.797 48.400
## 1068 0.796 0.758 48.760
## 1069 0.823 0.681 49.120
## 1070 0.820 0.724 49.480
## 1071 0.843 0.741 49.840
## 1072 0.830 0.709 50.200
## 1073 0.836 0.807 50.700
## 1074 0.741 0.742 51.200
## 1075 0.692 0.770 51.700
## 1076 0.755 0.712 52.200
## 1077 0.916 0.715 71.380
## 1078 0.908 0.697 71.600
## 1079 0.923 0.736 71.720
## 1080 0.922 0.744 71.840
## 1081 0.942 0.660 71.960
## 1082 0.941 0.652 72.080
## 1083 0.919 0.680 72.200
## 1084 0.930 0.687 72.200
## 1085 0.937 0.721 72.200
## 1086 0.932 0.721 72.200
## 1087 0.922 0.707 72.200
## 1088 0.938 0.601 72.200
## 1089 0.682 0.733 53.660
## 1090 0.670 0.732 53.940
## 1091 0.819 0.738 54.220
## 1092 0.857 0.778 54.500
## 1093 0.750 0.762 54.820
## 1094 0.763 0.782 55.140
## 1095 0.741 0.793 55.460
## 1096 0.853 0.755 55.780
## 1097 0.875 0.820 56.100
## 1098 0.785 0.735 56.400
## 1099 0.779 0.637 56.700
## 1100 0.802 0.663 57.000
## 1101 0.798 0.692 57.300
## 1102 0.800 0.738 64.700
## 1103 0.785 0.808 65.300
## 1104 0.836 0.785 65.800
## 1105 0.910 0.748 66.100
## 1106 0.909 0.774 66.400
## 1107 0.913 0.808 66.700
## 1108 0.893 0.767 67.000
## 1109 0.903 0.820 66.200
## 1110 0.879 0.816 66.320
## 1111 0.876 0.825 66.380
## 1112 0.868 0.849 66.440
## 1113 0.876 0.840 66.500
## 1114 0.824 0.790 66.680
## 1115 0.767 0.784 66.860
## 1116 0.759 0.790 67.040
## 1117 0.782 0.802 67.220
## 1118 0.761 0.745 67.400
## 1119 0.893 0.859 67.700
## 1120 0.800 0.843 68.000
## 1121 0.858 0.882 68.300
## 1122 0.852 0.864 68.600
## 1123 0.779 0.810 68.900
## 1124 0.812 0.619 60.580
## 1125 0.804 0.571 60.760
## 1126 0.872 0.584 60.940
## 1127 0.856 0.562 61.120
## 1128 0.847 0.584 61.300
## 1129 0.869 0.568 61.620
## 1130 0.826 0.568 61.940
## 1131 0.803 0.582 62.260
## 1132 0.805 0.583 62.580
## 1133 0.840 0.590 62.900
## 1134 0.837 0.621 63.600
## 1135 0.831 0.581 64.300
## 1136 0.892 0.582 65.000
## 1137 0.809 0.631 65.700
## 1138 0.874 0.727 66.400
## 1139 0.881 0.571 58.820
## 1140 0.920 0.586 59.280
## 1141 0.904 0.712 60.200
## 1142 0.948 0.692 60.500
## 1143 0.919 0.689 60.800
## 1144 0.935 0.649 61.100
## 1145 0.943 0.627 61.400
## 1146 0.906 0.653 61.700
## 1147 0.947 0.694 61.900
## 1148 0.924 0.675 62.100
## 1149 0.942 0.654 62.300
## 1150 0.946 0.707 62.500
## 1151 0.918 0.636 62.700
## 1152 0.832 0.579 66.200
## 1153 0.816 0.623 66.800
## 1154 0.805 0.595 67.100
## 1155 0.818 0.603 67.260
## 1156 0.704 0.574 67.420
## 1157 0.736 0.539 67.580
## 1158 0.863 0.587 67.740
## 1159 0.740 0.580 67.900
## 1160 0.866 0.591 68.100
## 1161 0.881 0.519 68.300
## 1162 0.856 0.590 68.500
## 1163 0.832 0.591 68.700
## 1164 0.887 0.603 68.900
## 1165 NA NA 63.500
## 1166 0.833 0.736 63.800
## 1167 0.676 0.687 64.100
## 1168 0.597 0.784 64.400
## 1169 0.606 0.661 65.000
## 1170 0.655 0.713 65.300
## 1171 0.641 0.559 65.600
## 1172 0.554 0.638 65.900
## 1173 0.535 0.589 66.200
## 1174 0.553 0.587 66.500
## 1175 0.879 0.623 44.800
## 1176 0.748 0.634 45.500
## 1177 0.756 0.623 46.200
## 1178 0.818 0.592 48.320
## 1179 0.666 0.564 51.200
## 1180 0.678 0.648 53.200
## 1181 0.738 0.640 54.200
## 1182 0.742 0.587 55.200
## 1183 0.612 0.764 57.020
## 1184 0.757 0.803 57.380
## 1185 0.774 0.858 57.740
## 1186 0.752 0.866 58.100
## 1187 0.793 0.804 58.400
## 1188 0.795 0.746 58.700
## 1189 0.774 0.777 59.000
## 1190 0.763 0.755 59.300
## 1191 0.796 0.800 59.600
## 1192 0.828 0.811 49.680
## 1193 0.763 0.749 55.160
## 1194 0.828 0.721 56.200
## 1195 0.864 0.739 56.500
## 1196 0.845 0.672 56.800
## 1197 0.741 0.648 57.100
## 1198 0.874 0.717 57.200
## 1199 0.787 0.643 57.700
## 1200 0.818 0.745 58.200
## 1201 0.813 0.570 58.700
## 1202 0.779 0.672 59.200
## 1203 0.741 0.699 59.400
## 1204 0.734 0.736 59.600
## 1205 0.740 0.629 59.800
## 1206 0.786 0.614 60.000
## 1207 0.748 0.543 60.200
## 1208 0.837 0.627 61.300
## 1209 0.816 0.571 62.400
## 1210 0.768 0.537 63.500
## 1211 0.772 0.536 64.600
## 1212 0.947 0.869 70.400
## 1213 0.944 0.818 70.800
## 1214 0.944 0.788 71.000
## 1215 0.957 0.853 71.400
## 1216 0.938 0.863 71.520
## 1217 0.939 0.861 71.640
## 1218 0.925 0.867 71.760
## 1219 0.909 0.868 71.880
## 1220 0.879 0.834 72.000
## 1221 0.926 0.838 72.100
## 1222 0.937 0.852 72.200
## 1223 0.939 0.862 72.300
## 1224 0.941 0.838 72.400
## 1225 0.944 0.784 72.500
## 1226 0.946 0.880 71.200
## 1227 0.967 0.854 71.400
## 1228 0.944 0.854 71.600
## 1229 0.976 0.847 72.000
## 1230 0.954 0.864 72.120
## 1231 0.930 0.866 72.240
## 1232 0.958 0.835 72.360
## 1233 0.942 0.848 72.480
## 1234 0.987 0.834 72.600
## 1235 0.937 0.833 72.800
## 1236 0.955 0.817 73.000
## 1237 0.954 0.845 73.200
## 1238 0.939 0.816 73.400
## 1239 0.952 0.849 73.600
## 1240 0.877 0.779 64.140
## 1241 0.866 0.810 64.480
## 1242 0.857 0.784 64.820
## 1243 0.835 0.781 65.160
## 1244 0.863 0.805 65.500
## 1245 0.800 0.791 65.720
## 1246 0.894 0.803 65.940
## 1247 0.868 0.839 66.160
## 1248 0.839 0.813 66.380
## 1249 0.827 0.797 66.600
## 1250 0.853 0.805 66.900
## 1251 0.838 0.850 67.200
## 1252 0.854 0.793 67.500
## 1253 0.874 0.835 67.800
## 1254 0.677 0.755 46.360
## 1255 0.726 0.706 47.120
## 1256 0.607 0.650 47.880
## 1257 0.771 0.730 48.640
## 1258 0.655 0.745 49.400
## 1259 0.818 0.700 49.920
## 1260 0.700 0.603 50.440
## 1261 0.696 0.650 50.960
## 1262 0.753 0.678 51.480
## 1263 0.713 0.682 52.000
## 1264 0.683 0.675 52.500
## 1265 0.582 0.731 53.000
## 1266 0.612 0.771 53.500
## 1267 0.677 0.816 54.000
## 1268 0.735 0.781 44.120
## 1269 0.718 0.826 44.640
## 1270 0.780 0.740 45.160
## 1271 0.722 0.745 45.680
## 1272 0.824 0.782 46.200
## 1273 0.818 0.811 47.120
## 1274 0.663 0.638 47.580
## 1275 0.812 0.717 48.500
## 1276 0.805 0.732 48.900
## 1277 0.733 0.725 49.300
## 1278 0.741 0.805 49.700
## 1279 0.734 0.715 50.100
## 1280 0.739 0.744 50.500
## 1281 0.871 0.709 NA
## 1282 0.869 0.622 NA
## 1283 0.802 0.724 NA
## 1284 0.791 0.702 NA
## 1285 0.808 0.644 NA
## 1286 0.837 0.480 NA
## 1287 0.803 0.494 NA
## 1288 0.811 0.603 64.095
## 1289 0.734 0.576 64.349
## 1290 0.687 0.567 64.502
## 1291 0.784 0.588 64.661
## 1292 0.798 0.642 64.811
## 1293 0.832 0.578 64.942
## 1294 0.793 0.637 65.053
## 1295 0.766 0.620 65.145
## 1296 0.871 0.639 65.225
## 1297 0.800 0.502 65.303
## 1298 0.849 0.590 65.389
## 1299 0.815 0.576 65.474
## 1300 0.750 0.605 65.560
## 1301 0.959 0.832 71.320
## 1302 0.936 0.792 71.560
## 1303 0.948 0.823 72.240
## 1304 0.941 0.834 72.680
## 1305 0.947 0.843 72.900
## 1306 0.960 0.850 73.000
## 1307 0.950 0.849 73.100
## 1308 0.966 0.827 73.200
## 1309 0.942 0.823 73.300
## 1310 0.956 0.823 73.400
## 1311 NA NA 65.500
## 1312 0.591 NA 54.200
## 1313 0.479 0.683 55.000
## 1314 0.373 0.655 55.400
## 1315 0.522 0.639 55.800
## 1316 0.571 0.651 56.200
## 1317 0.510 0.628 56.420
## 1318 0.542 0.665 56.640
## 1319 0.607 0.598 56.860
## 1320 0.552 0.585 57.080
## 1321 0.562 0.575 57.300
## 1322 0.627 0.648 57.700
## 1323 0.690 0.586 58.100
## 1324 0.685 0.567 58.500
## 1325 0.617 0.581 58.900
## 1326 0.818 0.497 61.780
## 1327 0.712 0.566 61.897
## 1328 0.666 0.571 62.015
## 1329 0.738 0.544 62.132
## 1330 0.822 0.628 62.250
## 1331 0.751 0.567 NA
## 1332 0.782 0.616 NA
## 1333 0.761 0.594 NA
## 1334 0.775 0.565 NA
## 1335 0.766 0.594 NA
## 1336 0.818 0.593 NA
## 1337 0.824 0.597 NA
## 1338 0.819 0.610 NA
## 1339 0.833 0.625 NA
## 1340 0.951 0.845 67.900
## 1341 0.937 0.820 68.000
## 1342 0.922 0.819 68.100
## 1343 0.905 0.883 68.200
## 1344 0.928 0.888 68.300
## 1345 0.876 0.885 68.500
## 1346 0.897 0.869 68.700
## 1347 0.896 0.869 68.900
## 1348 0.873 0.808 69.100
## 1349 0.883 0.801 69.300
## 1350 0.882 0.858 69.400
## 1351 0.912 0.833 69.500
## 1352 0.904 0.884 69.600
## 1353 0.886 0.878 69.700
## 1354 0.895 0.816 63.620
## 1355 0.863 0.867 63.840
## 1356 0.889 0.849 64.060
## 1357 0.900 0.832 64.280
## 1358 0.889 0.855 64.500
## 1359 0.869 0.810 64.620
## 1360 0.931 0.837 64.740
## 1361 0.939 0.919 64.860
## 1362 0.959 0.944 64.980
## 1363 0.914 0.866 65.100
## 1364 0.940 0.925 65.300
## 1365 0.902 0.903 65.500
## 1366 0.892 0.858 65.900
## 1367 0.875 0.697 65.340
## 1368 0.756 0.758 65.580
## 1369 0.777 0.763 65.820
## 1370 0.799 0.811 66.060
## 1371 0.812 0.800 66.300
## 1372 0.756 0.780 66.480
## 1373 0.764 0.757 66.660
## 1374 0.797 0.778 66.840
## 1375 0.819 0.759 67.020
## 1376 0.798 0.754 67.200
## 1377 0.803 0.822 67.500
## 1378 0.830 0.789 67.800
## 1379 0.845 0.809 68.100
## 1380 0.809 0.820 68.400
## 1381 0.795 0.832 59.800
## 1382 0.801 0.784 60.000
## 1383 0.798 0.805 60.200
## 1384 0.775 0.846 60.400
## 1385 0.805 0.876 60.600
## 1386 0.789 0.851 60.800
## 1387 0.813 0.865 61.000
## 1388 0.846 0.799 61.200
## 1389 0.813 0.813 61.400
## 1390 0.854 0.805 61.600
## 1391 0.821 0.821 61.700
## 1392 0.851 0.769 61.800
## 1393 0.846 0.773 61.900
## 1394 0.845 0.781 62.000
## 1395 0.781 0.804 62.100
## 1396 0.922 0.715 66.300
## 1397 0.913 0.760 66.700
## 1398 0.917 0.690 67.100
## 1399 0.955 0.737 67.300
## 1400 0.905 0.725 67.460
## 1401 0.936 0.787 67.620
## 1402 0.912 0.784 67.780
## 1403 0.924 0.777 67.940
## 1404 0.893 0.734 68.100
## 1405 0.917 0.777 68.500
## 1406 0.882 0.677 68.900
## 1407 0.863 0.742 69.300
## 1408 0.878 0.725 69.700
## 1409 0.953 0.760 70.100
## 1410 0.905 0.709 69.840
## 1411 0.886 0.703 70.320
## 1412 0.864 0.742 70.800
## 1413 0.856 0.725 71.000
## 1414 0.866 0.729 71.200
## 1415 0.867 0.700 71.400
## 1416 0.862 0.705 71.600
## 1417 0.866 0.657 71.800
## 1418 0.905 0.684 72.000
## 1419 0.900 0.649 72.200
## 1420 0.887 0.679 72.400
## 1421 0.876 0.710 72.600
## 1422 0.875 0.648 72.800
## 1423 0.894 0.678 66.580
## 1424 NA NA 66.700
## 1425 0.857 0.761 67.020
## 1426 0.838 0.766 67.340
## 1427 NA NA 68.300
## 1428 0.838 0.642 64.000
## 1429 0.736 0.644 64.480
## 1430 0.812 0.548 64.960
## 1431 0.689 0.596 65.200
## 1432 0.753 0.543 65.420
## 1433 0.740 0.556 65.640
## 1434 0.778 0.640 65.860
## 1435 0.753 0.654 66.080
## 1436 0.787 0.714 66.300
## 1437 0.809 0.694 66.600
## 1438 0.811 0.734 66.900
## 1439 0.818 0.735 67.200
## 1440 0.842 0.697 67.500
## 1441 0.895 0.611 58.680
## 1442 0.885 0.623 59.260
## 1443 0.882 0.594 59.840
## 1444 0.908 0.566 60.420
## 1445 0.909 0.589 61.000
## 1446 0.883 0.601 61.420
## 1447 0.901 0.611 61.840
## 1448 0.881 0.680 62.260
## 1449 0.932 0.688 62.680
## 1450 0.924 0.679 63.100
## 1451 0.911 0.636 63.500
## 1452 0.896 0.710 63.900
## 1453 0.909 0.673 64.300
## 1454 0.910 0.691 64.700
## 1455 0.887 0.645 65.100
## 1456 0.718 0.735 49.880
## 1457 0.486 0.643 53.040
## 1458 0.559 0.678 54.620
## 1459 0.570 0.665 56.820
## 1460 0.637 0.703 57.440
## 1461 0.750 0.760 58.060
## 1462 0.748 0.763 58.680
## 1463 0.678 0.721 59.300
## 1464 0.665 0.752 59.900
## 1465 0.517 0.762 60.500
## 1466 0.616 0.793 61.100
## 1467 0.489 0.736 61.700
## 1468 0.868 0.730 63.500
## 1469 0.892 0.772 63.860
## 1470 0.823 0.710 64.040
## 1471 0.921 0.742 64.220
## 1472 0.880 0.645 64.400
## 1473 0.830 0.726 64.600
## 1474 0.867 0.715 64.800
## 1475 0.827 0.744 65.000
## 1476 0.818 0.705 65.200
## 1477 0.820 0.724 65.400
## 1478 0.890 0.793 65.700
## 1479 0.840 0.775 66.000
## 1480 0.868 0.764 66.300
## 1481 0.912 0.732 66.600
## 1482 0.890 0.754 66.900
## 1483 0.760 0.740 53.380
## 1484 0.718 0.714 54.060
## 1485 0.756 0.673 54.740
## 1486 0.810 0.757 55.420
## 1487 0.760 0.769 56.100
## 1488 0.602 0.752 56.560
## 1489 0.711 0.771 57.020
## 1490 0.823 0.680 57.480
## 1491 0.856 0.725 57.940
## 1492 0.702 0.711 58.400
## 1493 0.839 0.784 58.800
## 1494 0.744 0.746 59.200
## 1495 0.739 0.714 59.600
## 1496 0.688 0.789 60.000
## 1497 0.844 0.576 65.600
## 1498 0.770 0.544 66.000
## 1499 0.726 0.532 66.200
## 1500 0.773 0.545 66.360
## 1501 0.819 0.514 66.520
## 1502 0.828 0.529 66.680
## 1503 0.783 0.498 66.840
## 1504 0.816 0.496 67.000
## 1505 0.895 0.535 67.400
## 1506 0.884 0.510 67.800
## 1507 0.853 0.559 68.200
## 1508 0.903 0.509 68.600
## 1509 0.852 0.603 69.000
## 1510 0.561 0.505 40.300
## 1511 0.686 0.582 41.200
## 1512 0.591 0.534 42.100
## 1513 0.812 0.514 43.900
## 1514 0.782 0.446 44.320
## 1515 0.708 0.521 45.160
## 1516 0.869 0.570 45.580
## 1517 0.611 0.625 46.000
## 1518 0.657 0.584 47.600
## 1519 0.652 0.600 49.200
## 1520 0.650 0.552 50.800
## 1521 0.611 0.513 52.400
## 1522 0.904 0.751 73.600
## 1523 0.921 0.700 73.900
## 1524 0.845 0.721 74.200
## 1525 0.866 0.500 74.500
## 1526 0.864 0.602 74.800
## 1527 0.904 0.483 75.020
## 1528 0.808 0.770 75.460
## 1529 0.822 0.841 75.680
## 1530 0.866 0.803 75.900
## 1531 0.925 0.824 76.200
## 1532 0.897 0.800 76.500
## 1533 0.903 0.787 76.800
## 1534 0.925 0.723 77.100
## 1535 0.954 0.678 66.000
## 1536 0.920 0.666 66.800
## 1537 0.917 0.637 67.040
## 1538 0.926 0.656 67.280
## 1539 0.909 0.698 67.520
## 1540 0.924 0.703 67.760
## 1541 0.943 0.714 68.000
## 1542 0.945 0.774 68.300
## 1543 0.913 0.788 68.600
## 1544 0.922 0.754 68.900
## 1545 0.933 0.750 69.200
## 1546 0.954 0.764 69.500
## 1547 0.936 0.652 68.000
## 1548 0.919 0.641 68.900
## 1549 0.917 0.671 69.200
## 1550 0.931 0.652 69.400
## 1551 0.925 0.656 69.600
## 1552 0.932 0.635 69.800
## 1553 0.908 0.620 70.000
## 1554 0.901 0.659 70.200
## 1555 0.934 0.626 70.500
## 1556 0.928 0.615 70.800
## 1557 0.941 0.644 71.100
## 1558 0.949 0.679 71.400
## 1559 0.953 0.610 71.700
## 1560 0.611 0.834 49.600
## 1561 0.599 0.901 50.100
## 1562 0.594 0.891 50.000
## 1563 0.880 0.819 NA
## 1564 0.829 0.769 NA
## 1565 0.788 0.749 NA
## 1566 0.786 0.735 NA
## 1567 0.913 0.802 48.020
## 1568 0.788 0.735 48.640
## 1569 0.810 0.773 49.260
## 1570 0.877 0.727 49.880
## 1571 0.917 0.794 50.500
## 1572 0.858 0.763 51.460
## 1573 0.907 0.761 52.420
## 1574 0.839 0.773 53.380
## 1575 0.881 0.798 54.340
## 1576 0.898 0.781 55.300
## 1577 0.875 0.786 55.700
## 1578 0.870 0.785 56.100
## 1579 0.841 0.812 56.500
## 1580 0.848 0.801 56.900
## 1581 0.891 0.820 57.300
## 1582 0.775 0.651 70.200
## 1583 0.827 0.690 70.500
## 1584 0.754 0.643 70.800
## 1585 0.811 0.697 71.100
## 1586 0.816 0.662 71.400
## 1587 0.809 0.656 71.660
## 1588 0.775 0.664 71.920
## 1589 0.797 0.676 72.180
## 1590 0.738 0.653 72.440
## 1591 0.768 0.650 72.700
## 1592 0.811 0.676 73.000
## 1593 0.807 0.623 73.300
## 1594 0.798 0.661 73.600
## 1595 0.783 0.684 73.900
## 1596 0.808 0.640 74.200
## 1597 0.545 0.614 49.840
## 1598 0.585 0.586 50.200
## 1599 0.532 0.615 50.600
## 1600 0.557 0.586 51.000
## 1601 0.961 0.776 71.500
## 1602 0.957 0.763 72.060
## 1603 0.948 0.772 72.340
## 1604 0.929 0.752 72.620
## 1605 0.950 0.724 72.900
## 1606 0.944 0.737 73.020
## 1607 0.937 0.749 73.140
## 1608 0.929 0.696 73.260
## 1609 0.948 0.716 73.380
## 1610 0.956 0.732 73.500
## 1611 0.942 0.653 73.800
## 1612 0.903 0.625 74.100
## 1613 0.910 0.659 74.400
## 1614 0.949 0.663 74.700
## 1615 0.935 0.686 75.000
## 1616 0.864 0.757 65.780
## 1617 0.838 0.709 65.860
## 1618 0.816 0.790 65.940
## 1619 0.830 0.770 66.020
## 1620 0.814 0.823 66.100
## 1621 0.842 0.825 66.200
## 1622 0.824 0.864 66.300
## 1623 0.809 0.860 66.400
## 1624 0.805 0.843 66.500
## 1625 0.863 0.848 66.600
## 1626 0.823 0.795 67.000
## 1627 0.833 0.831 67.200
## 1628 0.815 0.816 67.400
## 1629 0.911 0.734 53.700
## 1630 0.855 0.669 54.000
## 1631 0.818 0.586 54.280
## 1632 0.813 0.576 54.560
## 1633 0.811 0.541 55.120
## 1634 0.797 0.764 62.240
## 1635 0.837 0.821 40.808
## 1636 0.779 0.824 50.353
## 1637 0.759 0.778 51.270
## 1638 0.951 0.840 71.200
## 1639 0.917 0.796 71.480
## 1640 0.923 0.804 71.620
## 1641 0.903 0.820 71.760
## 1642 0.970 0.833 71.900
## 1643 0.921 0.815 71.980
## 1644 0.929 0.855 72.060
## 1645 0.916 0.829 72.140
## 1646 0.933 0.836 72.220
## 1647 0.929 0.818 72.300
## 1648 0.912 0.816 72.400
## 1649 0.914 0.814 72.500
## 1650 0.931 0.823 72.600
## 1651 0.934 0.826 72.700
## 1652 0.936 0.766 72.800
## 1653 0.951 0.821 71.540
## 1654 0.938 0.814 72.260
## 1655 0.947 0.859 72.780
## 1656 0.959 0.823 73.060
## 1657 0.938 0.809 73.200
## 1658 0.928 0.779 73.500
## 1659 0.950 0.774 73.800
## 1660 0.930 0.792 74.100
## 1661 0.949 0.798 74.400
## 1662 0.946 0.769 74.700
## 1663 0.712 0.609 63.900
## 1664 0.842 0.574 64.000
## 1665 0.934 0.558 64.100
## 1666 0.576 0.599 62.320
## 1667 0.588 0.464 60.540
## 1668 0.585 0.387 58.760
## 1669 0.464 0.369 55.200
## 1670 0.882 0.814 68.680
## 1671 0.830 0.794 69.140
## 1672 0.831 0.845 69.600
## 1673 0.863 0.827 NA
## 1674 0.825 0.821 NA
## 1675 0.817 0.846 NA
## 1676 0.870 0.849 NA
## 1677 0.885 0.832 NA
## 1678 0.895 0.833 NA
## 1679 0.891 0.837 NA
## 1680 0.896 0.848 NA
## 1681 0.893 0.860 NA
## 1682 0.901 0.845 NA
## 1683 0.724 0.566 60.640
## 1684 0.727 0.694 61.080
## 1685 0.701 0.606 61.520
## 1686 0.676 0.605 61.960
## 1687 0.759 0.643 62.400
## 1688 0.751 0.698 62.560
## 1689 0.729 0.714 62.720
## 1690 0.701 0.677 62.880
## 1691 0.810 0.656 63.040
## 1692 0.844 0.689 63.200
## 1693 0.857 0.644 63.500
## 1694 0.663 0.603 63.800
## 1695 0.875 0.695 64.100
## 1696 0.880 0.729 64.400
## 1697 0.790 0.749 64.700
## 1698 0.783 0.748 48.700
## 1699 0.708 0.755 49.600
## 1700 0.774 0.744 50.500
## 1701 0.837 0.778 51.400
## 1702 0.813 0.717 52.300
## 1703 0.883 0.765 53.040
## 1704 0.832 0.679 53.780
## 1705 0.803 0.738 54.520
## 1706 0.789 0.731 55.260
## 1707 0.790 0.619 56.000
## 1708 0.638 0.694 56.500
## 1709 0.705 0.715 57.000
## 1710 0.675 0.762 57.500
## 1711 0.687 0.726 58.000
## 1712 0.740 0.686 58.500
## 1713 0.894 0.814 64.140
## 1714 0.889 0.832 64.480
## 1715 0.832 0.819 64.820
## 1716 0.893 0.898 65.160
## 1717 0.898 0.901 65.500
## 1718 0.884 0.934 65.720
## 1719 0.906 0.855 65.940
## 1720 0.926 0.846 66.160
## 1721 0.933 0.811 66.380
## 1722 0.866 0.910 66.600
## 1723 0.908 0.835 66.800
## 1724 0.877 0.816 67.000
## 1725 0.873 0.843 67.200
## 1726 0.903 0.843 67.400
## 1727 0.867 0.783 67.600
## 1728 0.435 0.615 49.260
## 1729 0.291 0.362 50.180
## 1730 0.303 0.480 51.580
## 1731 0.444 0.583 53.020
## 1732 0.479 0.599 53.500
## 1733 0.509 0.604 53.900
## 1734 0.508 0.614 54.300
## 1735 0.596 0.608 54.700
## 1736 0.539 0.590 55.100
## 1737 0.887 0.798 61.760
## 1738 0.858 0.817 62.080
## 1739 0.863 0.906 62.540
## 1740 0.883 0.833 62.820
## 1741 0.916 0.846 63.500
## 1742 NA NA 64.960
## 1743 0.863 0.725 65.100
## 1744 0.715 0.588 65.280
## 1745 0.614 0.521 65.460
## 1746 0.648 0.517 65.640
## 1747 0.680 0.503 65.820
## 1748 0.609 0.573 66.000
## 1749 0.702 0.612 66.300
## 1750 0.717 0.421 66.600
## 1751 0.733 0.592 66.900
## 1752 0.610 0.539 67.200
## 1753 0.719 0.585 67.500
## 1754 0.820 0.557 62.600
## 1755 0.792 0.651 63.320
## 1756 0.645 0.614 63.680
## 1757 0.755 0.598 64.040
## 1758 0.795 0.652 64.400
## 1759 0.692 0.621 64.640
## 1760 0.739 0.645 64.880
## 1761 0.795 0.635 65.120
## 1762 0.863 0.483 65.360
## 1763 0.851 0.460 65.600
## 1764 0.880 0.465 66.000
## 1765 0.876 0.450 66.400
## 1766 0.847 0.435 66.800
## 1767 0.792 0.422 67.200
## 1768 0.857 0.384 67.600
## 1769 0.924 0.781 59.440
## 1770 0.964 0.639 60.040
## 1771 0.946 0.584 60.280
## 1772 0.846 0.599 60.520
## 1773 0.909 0.695 60.760
## 1774 0.960 0.705 61.000
## 1775 0.929 0.636 61.400
## 1776 0.908 0.521 61.800
## 1777 0.984 0.612 62.200
## 1778 0.982 0.510 62.600
## 1779 0.760 0.590 46.480
## 1780 0.845 0.708 47.460
## 1781 0.813 0.641 48.440
## 1782 0.852 0.640 49.420
## 1783 0.830 0.648 50.400
## 1784 0.882 0.678 51.220
## 1785 0.885 0.754 52.040
## 1786 0.878 0.676 52.860
## 1787 0.821 0.681 53.680
## 1788 0.747 0.703 54.500
## 1789 0.754 0.668 54.900
## 1790 0.740 0.703 55.300
## 1791 0.740 0.685 55.700
## 1792 0.805 0.693 56.100
## 1793 0.800 0.699 56.500
## 1794 0.852 0.622 60.120
## 1795 0.820 0.636 60.640
## 1796 0.860 0.573 61.160
## 1797 0.845 0.583 61.680
## 1798 0.884 0.513 62.200
## 1799 0.859 0.590 62.500
## 1800 0.898 0.570 62.800
## 1801 0.897 0.643 63.100
## 1802 0.877 0.594 63.400
## 1803 0.909 0.574 63.700
## 1804 0.885 0.589 64.000
## 1805 0.858 0.597 64.300
## 1806 0.901 0.609 64.600
## 1807 0.883 0.634 64.900
## 1808 0.885 0.688 65.200
## 1809 0.903 0.746 65.920
## 1810 0.885 0.770 66.280
## 1811 0.912 0.763 66.400
## 1812 0.881 0.763 66.420
## 1813 0.856 0.768 66.440
## 1814 0.864 NA 66.460
## 1815 NA NA 66.480
## 1816 0.824 0.761 66.500
## 1817 0.849 0.775 66.700
## 1818 0.836 0.795 66.900
## 1819 0.851 0.787 67.100
## 1820 0.862 0.793 67.300
## 1821 0.827 0.752 67.500
## 1822 0.979 0.864 69.900
## 1823 0.970 0.782 70.460
## 1824 0.954 0.819 70.740
## 1825 0.964 0.846 71.020
## 1826 0.955 0.863 71.300
## 1827 0.949 0.844 71.380
## 1828 0.935 0.844 71.460
## 1829 0.937 0.776 71.540
## 1830 0.910 0.794 71.620
## 1831 0.936 0.798 71.700
## 1832 0.954 0.776 71.900
## 1833 0.937 0.759 72.100
## 1834 0.928 0.783 72.300
## 1835 0.943 0.775 72.500
## 1836 0.929 0.758 72.700
## 1837 0.965 0.827 68.060
## 1838 NA 0.829 68.220
## 1839 0.953 0.872 68.380
## 1840 0.912 0.843 68.540
## 1841 0.926 0.861 68.700
## 1842 0.922 0.836 68.680
## 1843 0.903 0.834 68.660
## 1844 0.925 0.814 68.640
## 1845 0.902 0.834 68.620
## 1846 0.904 0.814 68.600
## 1847 0.897 0.806 68.500
## 1848 0.921 0.827 68.400
## 1849 0.904 0.815 68.300
## 1850 0.917 0.815 68.200
## 1851 0.937 0.787 68.100
## 1852 0.912 0.784 67.440
## 1853 0.875 0.777 67.580
## 1854 0.879 0.751 67.720
## 1855 0.924 0.793 67.860
## 1856 0.893 0.807 68.000
## 1857 0.891 0.805 68.140
## 1858 0.865 0.788 68.280
## 1859 0.917 0.826 68.420
## 1860 0.902 0.869 68.560
## 1861 0.891 0.893 68.700
## 1862 0.900 0.842 68.800
## 1863 0.914 0.836 68.900
## 1864 0.917 0.877 69.000
## 1865 0.933 0.889 69.100
## 1866 0.921 0.807 69.200
## 1867 0.903 0.728 61.440
## 1868 0.894 0.714 62.320
## 1869 0.905 0.736 62.760
## 1870 0.903 0.776 63.200
## 1871 0.924 0.787 63.400
## 1872 0.933 0.786 63.600
## 1873 0.963 0.749 63.800
## 1874 0.952 0.805 64.000
## 1875 0.968 0.840 64.200
## 1876 0.945 0.842 64.500
## 1877 0.942 0.839 64.800
## 1878 0.921 0.825 65.100
## 1879 0.915 0.845 65.400
## 1880 0.955 0.819 65.400
## 1881 0.946 0.859 65.460
## 1882 0.922 0.802 65.580
## 1883 0.945 0.825 65.640
## 1884 0.932 0.862 65.700
## 1885 0.931 0.828 65.740
## 1886 0.932 0.858 65.780
## 1887 0.896 0.840 65.820
## 1888 0.904 0.811 65.860
## 1889 0.911 0.867 65.900
## 1890 0.902 0.688 66.100
## 1891 0.896 0.726 66.300
## 1892 0.887 0.759 66.500
## 1893 0.888 0.761 66.700
## 1894 0.805 0.722 66.900
## 1895 0.888 0.682 65.860
## 1896 0.856 0.588 66.020
## 1897 0.805 0.665 66.180
## 1898 0.815 0.583 66.340
## 1899 0.787 0.685 66.500
## 1900 0.898 0.532 66.660
## 1901 0.775 0.615 66.820
## 1902 0.759 0.718 66.980
## 1903 0.792 0.701 67.140
## 1904 0.849 0.642 67.300
## 1905 0.876 0.536 67.500
## 1906 NA NA 67.700
## 1907 0.832 0.692 67.900
## 1908 0.848 0.751 68.100
## 1909 0.825 0.592 53.400
## 1910 0.756 0.583 54.000
## 1911 0.727 0.582 54.300
## 1912 0.663 0.503 54.300
## 1913 0.682 0.502 54.300
## 1914 0.694 0.558 54.300
## 1915 0.638 0.611 54.300
## 1916 0.669 0.507 54.300
## 1917 0.775 0.469 55.100
## 1918 0.790 0.455 55.900
## 1919 0.789 0.461 56.700
## 1920 0.870 0.543 57.500
## 1921 0.798 0.701 44.260
## 1922 0.688 0.687 45.720
## 1923 0.624 0.744 47.180
## 1924 0.782 0.728 48.640
## 1925 0.864 0.833 50.840
## 1926 0.780 0.726 51.580
## 1927 0.761 0.735 52.320
## 1928 0.706 0.692 53.060
## 1929 0.691 0.690 53.800
## 1930 0.767 0.731 54.300
## 1931 0.744 0.685 54.800
## 1932 0.718 0.703 55.300
## 1933 0.638 0.743 55.800
## 1934 0.767 0.691 56.300
## 1935 0.822 0.715 41.580
## 1936 0.828 0.661 42.860
## 1937 0.843 0.631 44.140
## 1938 0.806 0.736 45.420
## 1939 0.857 0.748 46.700
## 1940 0.865 0.781 48.120
## 1941 0.896 0.669 49.540
## 1942 0.799 0.712 50.960
## 1943 0.766 0.725 52.380
## 1944 0.736 0.715 53.800
## 1945 0.768 0.738 54.400
## 1946 0.754 0.806 55.000
## 1947 0.775 0.710 55.600
## 1948 0.759 0.716 56.200
## 1949 0.717 0.703 56.800
## Freedom.to.make.life.choices Generosity Perceptions.of.corruption
## 1 0.718 0.168 0.882
## 2 0.679 0.190 0.850
## 3 0.600 0.121 0.707
## 4 0.496 0.162 0.731
## 5 0.531 0.236 0.776
## 6 0.578 0.061 0.823
## 7 0.509 0.104 0.871
## 8 0.389 0.080 0.881
## 9 0.523 0.042 0.793
## 10 0.427 -0.121 0.954
## 11 0.374 -0.094 0.928
## 12 0.394 -0.108 0.924
## 13 0.529 -0.009 0.875
## 14 0.525 -0.158 0.864
## 15 0.569 -0.172 0.726
## 16 0.487 -0.205 0.877
## 17 0.602 -0.169 0.848
## 18 0.632 -0.127 0.863
## 19 0.735 -0.025 0.883
## 20 0.704 -0.081 0.885
## 21 0.730 -0.017 0.901
## 22 0.750 -0.029 0.876
## 23 0.824 0.009 0.899
## 24 0.777 -0.099 0.914
## 25 0.754 0.007 0.891
## 26 0.593 -0.205 0.618
## 27 0.530 -0.181 0.638
## 28 0.587 -0.172 0.690
## 29 NA NA NA
## 30 NA NA NA
## 31 0.437 -0.167 0.700
## 32 0.583 -0.146 0.759
## 33 0.385 0.005 0.741
## 34 0.584 0.055 0.911
## 35 0.456 -0.136 0.906
## 36 0.410 -0.104 0.816
## 37 0.375 -0.168 0.834
## 38 0.733 -0.157 0.852
## 39 0.653 -0.141 0.881
## 40 0.678 -0.132 0.865
## 41 0.637 -0.130 0.885
## 42 0.730 -0.126 0.855
## 43 0.816 -0.174 0.755
## 44 0.747 -0.148 0.817
## 45 0.737 -0.130 0.823
## 46 0.745 -0.164 0.854
## 47 0.881 -0.174 0.851
## 48 0.848 -0.192 0.851
## 49 0.832 -0.186 0.841
## 50 0.846 -0.211 0.855
## 51 0.817 -0.211 0.830
## 52 0.823 -0.122 0.816
## 53 0.520 -0.231 0.850
## 54 0.605 -0.251 0.817
## 55 0.462 -0.215 0.876
## 56 0.441 -0.214 0.882
## 57 0.459 -0.176 0.891
## 58 0.465 -0.225 0.875
## 59 0.502 -0.215 0.893
## 60 0.504 -0.195 0.900
## 61 0.506 -0.218 0.920
## 62 0.551 -0.203 0.901
## 63 0.611 -0.170 0.921
## 64 0.614 -0.147 0.865
## 65 0.808 -0.163 0.677
## 66 0.844 -0.172 0.583
## 67 0.935 NA 0.390
## 68 0.891 0.347 0.513
## 69 0.916 0.305 0.431
## 70 0.932 0.317 0.366
## 71 0.945 0.369 0.382
## 72 0.935 0.274 0.368
## 73 0.933 0.269 0.432
## 74 0.923 0.319 0.442
## 75 0.922 0.332 0.357
## 76 0.922 0.239 0.399
## 77 0.911 0.317 0.411
## 78 0.916 0.146 0.405
## 79 0.918 0.121 0.430
## 80 0.905 0.210 0.491
## 81 0.941 0.302 0.490
## 82 0.879 0.291 0.614
## 83 0.896 0.131 0.546
## 84 0.939 0.132 0.703
## 85 0.920 0.118 0.771
## 86 0.922 0.168 0.679
## 87 0.885 0.118 0.567
## 88 0.900 0.099 0.557
## 89 0.889 0.080 0.524
## 90 0.890 0.133 0.518
## 91 0.904 0.053 0.523
## 92 0.903 0.060 0.457
## 93 0.912 0.011 0.464
## 94 0.772 -0.235 0.774
## 95 0.522 -0.207 0.871
## 96 0.601 -0.029 0.715
## 97 0.498 -0.087 0.754
## 98 0.501 -0.123 0.858
## 99 0.537 -0.105 0.795
## 100 0.599 -0.140 0.763
## 101 0.672 -0.168 0.699
## 102 0.733 -0.208 0.654
## 103 0.764 -0.198 0.616
## 104 0.713 -0.204 0.607
## 105 0.731 -0.225 0.653
## 106 0.772 -0.232 0.561
## 107 0.854 -0.214 0.457
## 108 0.896 0.037 0.506
## 109 0.862 -0.001 0.715
## 110 0.870 -0.051 0.583
## 111 0.682 NA 0.438
## 112 0.809 NA 0.525
## 113 NA NA NA
## 114 0.850 0.112 NA
## 115 0.889 0.088 NA
## 116 0.906 0.136 NA
## 117 0.907 0.048 NA
## 118 0.945 0.132 NA
## 119 0.612 0.068 0.786
## 120 0.605 0.040 0.806
## 121 0.606 -0.044 0.802
## 122 0.631 -0.075 0.776
## 123 0.659 -0.016 0.774
## 124 0.838 -0.069 0.757
## 125 0.668 -0.034 0.765
## 126 0.742 -0.016 0.743
## 127 0.736 -0.098 0.789
## 128 0.815 -0.068 0.721
## 129 0.875 -0.089 0.688
## 130 0.896 0.012 0.635
## 131 0.901 -0.043 0.701
## 132 0.902 -0.051 0.656
## 133 0.777 -0.009 0.742
## 134 0.707 -0.246 0.708
## 135 0.667 -0.225 0.695
## 136 0.640 -0.220 0.696
## 137 0.679 -0.203 0.676
## 138 0.700 -0.163 0.706
## 139 0.656 -0.168 0.672
## 140 0.645 -0.217 0.657
## 141 0.723 -0.177 0.653
## 142 0.647 -0.048 0.682
## 143 0.623 -0.091 0.669
## 144 0.658 -0.125 0.664
## 145 0.621 -0.122 0.654
## 146 0.644 -0.174 0.718
## 147 0.657 -0.186 0.546
## 148 0.924 NA 0.598
## 149 0.901 0.069 0.721
## 150 0.887 0.007 0.652
## 151 0.807 0.022 0.697
## 152 0.880 -0.014 0.711
## 153 0.855 -0.050 0.758
## 154 0.891 0.017 0.574
## 155 0.861 0.001 0.512
## 156 0.869 0.062 0.469
## 157 0.866 -0.056 0.497
## 158 0.857 0.054 0.543
## 159 0.808 -0.125 0.630
## 160 0.776 -0.172 0.672
## 161 0.767 -0.164 0.634
## 162 0.705 0.033 0.769
## 163 0.874 0.022 0.782
## 164 0.580 -0.011 0.790
## 165 0.709 -0.004 0.825
## 166 0.773 -0.142 0.849
## 167 0.769 -0.111 0.806
## 168 0.783 -0.085 0.856
## 169 0.776 -0.096 0.855
## 170 0.733 -0.027 0.850
## 171 0.780 -0.065 0.838
## 172 0.727 -0.065 0.767
## 173 0.713 0.002 0.747
## 174 0.770 -0.016 0.698
## 175 0.783 -0.083 0.532
## 176 0.810 0.353 0.802
## 177 0.834 0.268 0.650
## 178 0.830 0.277 0.634
## 179 0.770 -0.044 0.794
## 180 0.780 0.001 0.817
## 181 0.726 -0.092 0.801
## 182 0.779 -0.036 0.763
## 183 0.703 -0.068 0.781
## 184 0.782 -0.039 0.825
## 185 0.862 -0.015 0.840
## 186 0.846 -0.067 0.812
## 187 0.881 0.018 0.832
## 188 0.884 -0.030 0.862
## 189 0.882 -0.047 0.853
## 190 0.884 -0.120 0.819
## 191 0.863 -0.093 0.786
## 192 0.881 -0.086 0.857
## 193 0.877 -0.054 0.868
## 194 0.342 0.006 0.926
## 195 0.258 -0.026 0.959
## 196 0.365 -0.128 0.933
## 197 0.333 -0.035 0.925
## 198 0.420 -0.013 0.953
## 199 0.390 0.042 0.970
## 200 0.412 0.232 0.976
## 201 0.631 -0.055 0.960
## 202 0.633 0.134 0.957
## 203 0.564 0.092 0.923
## 204 0.659 0.123 0.913
## 205 0.722 0.079 0.963
## 206 0.740 0.138 0.916
## 207 0.824 -0.195 0.723
## 208 0.858 -0.164 0.806
## 209 0.826 -0.143 0.814
## 210 0.813 -0.250 0.816
## 211 0.799 -0.203 0.814
## 212 0.767 -0.154 0.749
## 213 0.791 -0.105 0.743
## 214 0.857 -0.116 0.860
## 215 0.852 -0.253 0.729
## 216 0.817 -0.248 0.731
## 217 0.818 -0.254 0.807
## 218 0.833 -0.239 0.792
## 219 0.882 NA 0.745
## 220 0.777 -0.016 0.728
## 221 0.782 -0.078 0.688
## 222 0.767 -0.055 0.723
## 223 0.806 -0.054 0.656
## 224 0.834 -0.072 0.662
## 225 0.849 NA 0.623
## 226 0.785 -0.095 0.707
## 227 0.714 -0.115 0.710
## 228 0.799 -0.016 0.771
## 229 0.807 -0.100 0.781
## 230 0.765 -0.175 0.794
## 231 0.751 -0.117 0.763
## 232 0.830 -0.062 0.762
## 233 0.786 -0.053 0.729
## 234 0.566 -0.138 0.976
## 235 0.545 -0.144 0.941
## 236 0.664 -0.228 0.948
## 237 0.641 -0.172 0.938
## 238 0.603 -0.191 0.962
## 239 0.576 -0.055 0.955
## 240 0.637 -0.200 0.941
## 241 0.700 -0.170 0.936
## 242 0.689 -0.154 0.911
## 243 0.724 -0.176 0.952
## 244 0.822 -0.109 0.943
## 245 0.818 -0.004 0.901
## 246 0.588 0.028 0.798
## 247 0.582 -0.060 0.833
## 248 0.612 -0.101 0.887
## 249 0.587 -0.036 0.767
## 250 0.725 -0.105 0.707
## 251 0.622 -0.070 0.726
## 252 0.741 -0.016 0.765
## 253 0.710 -0.004 0.801
## 254 0.659 0.004 0.693
## 255 0.645 -0.001 0.721
## 256 0.614 -0.063 0.727
## 257 0.721 -0.013 0.757
## 258 0.678 -0.004 0.729
## 259 0.260 -0.019 0.860
## 260 0.427 -0.019 0.718
## 261 0.490 -0.062 0.677
## 262 0.431 -0.059 0.808
## 263 0.646 -0.024 0.599
## 264 NA 0.255 0.829
## 265 0.819 0.116 0.879
## 266 0.914 0.045 0.888
## 267 0.937 0.152 0.965
## 268 0.940 0.350 0.896
## 269 0.927 0.418 0.775
## 270 0.956 0.247 0.890
## 271 0.941 0.164 0.812
## 272 0.938 0.239 0.843
## 273 0.956 0.210 0.825
## 274 0.958 0.076 0.840
## 275 0.964 0.088 0.821
## 276 0.958 0.036 NA
## 277 0.957 0.013 0.828
## 278 0.963 0.052 0.863
## 279 0.653 -0.009 0.907
## 280 0.644 -0.031 0.910
## 281 0.580 -0.069 0.945
## 282 0.698 -0.017 0.925
## 283 0.792 0.002 0.875
## 284 0.817 -0.029 0.870
## 285 0.766 -0.032 0.898
## 286 0.794 -0.030 0.867
## 287 0.795 -0.071 0.856
## 288 0.791 0.049 0.868
## 289 0.713 -0.003 0.879
## 290 0.767 -0.028 0.844
## 291 0.816 0.036 0.884
## 292 0.712 -0.008 0.817
## 293 0.675 0.049 0.837
## 294 0.957 0.256 0.503
## 295 0.930 0.249 0.406
## 296 0.926 0.262 0.370
## 297 0.915 0.246 0.413
## 298 0.934 0.230 0.413
## 299 0.951 0.253 0.433
## 300 0.918 0.290 0.466
## 301 0.916 0.316 0.406
## 302 0.939 0.270 0.442
## 303 0.931 0.253 0.427
## 304 0.912 0.211 0.385
## 305 0.945 0.163 0.362
## 306 0.946 0.106 0.372
## 307 0.912 0.112 0.436
## 308 0.887 0.050 0.434
## 309 0.663 0.081 0.782
## 310 0.690 -0.036 0.845
## 311 0.780 -0.016 0.834
## 312 0.624 0.033 0.859
## 313 0.645 0.073 0.890
## 314 0.306 0.028 0.961
## 315 0.295 -0.011 0.874
## 316 0.527 0.063 0.944
## 317 0.401 0.021 0.931
## 318 0.505 0.025 0.858
## 319 0.540 0.031 0.876
## 320 0.563 -0.034 0.884
## 321 0.488 -0.045 0.882
## 322 0.567 -0.070 0.881
## 323 0.474 -0.029 0.889
## 324 0.525 0.052 0.820
## 325 0.615 0.008 0.792
## 326 0.650 0.024 0.763
## 327 0.537 0.055 0.832
## 328 0.744 0.168 0.634
## 329 0.662 0.244 0.723
## 330 0.640 0.084 0.741
## 331 0.747 0.149 0.734
## 332 0.786 0.108 0.702
## 333 0.701 0.112 0.753
## 334 0.734 0.195 0.782
## 335 0.737 0.085 0.741
## 336 0.733 0.217 0.758
## 337 0.769 0.041 0.812
## 338 0.652 0.102 0.858
## 339 0.790 -0.020 0.836
## 340 0.789 -0.060 0.816
## 341 0.659 -0.103 0.860
## 342 0.781 0.033 0.812
## 343 NA NA NA
## 344 NA -0.176 NA
## 345 0.853 -0.092 NA
## 346 0.771 -0.160 NA
## 347 0.805 -0.133 NA
## 348 0.824 -0.186 NA
## 349 0.808 -0.185 NA
## 350 0.805 -0.158 NA
## 351 NA -0.217 NA
## 352 NA -0.244 NA
## 353 NA -0.228 NA
## 354 0.878 -0.175 NA
## 355 0.895 -0.159 NA
## 356 0.927 -0.173 NA
## 357 0.891 -0.103 NA
## 358 0.805 -0.015 0.808
## 359 0.786 -0.040 0.860
## 360 0.795 -0.042 0.763
## 361 0.757 -0.055 0.837
## 362 0.816 -0.050 0.815
## 363 0.811 -0.073 0.847
## 364 0.828 -0.009 0.868
## 365 0.841 -0.071 0.898
## 366 0.801 -0.090 0.887
## 367 0.791 -0.100 0.843
## 368 0.835 -0.100 0.898
## 369 0.838 -0.157 0.875
## 370 0.851 -0.148 0.855
## 371 0.822 -0.172 0.854
## 372 0.840 -0.085 0.808
## 373 0.508 -0.074 0.838
## 374 0.529 0.005 0.741
## 375 0.500 -0.075 0.732
## 376 0.534 -0.121 0.651
## 377 0.560 0.086 0.794
## 378 0.538 0.077 0.762
## 379 0.526 -0.098 NA
## 380 0.745 -0.109 0.833
## 381 0.773 -0.112 0.800
## 382 0.726 -0.078 0.752
## 383 0.662 -0.110 0.808
## 384 0.850 -0.104 0.841
## 385 0.786 -0.072 0.790
## 386 0.778 -0.131 0.763
## 387 0.699 -0.092 0.738
## 388 0.686 -0.046 0.741
## 389 0.556 -0.022 0.824
## 390 0.631 -0.025 0.856
## 391 0.557 -0.035 0.807
## 392 0.480 0.012 0.913
## 393 0.556 0.009 0.814
## 394 0.574 -0.048 0.866
## 395 0.637 -0.024 0.875
## 396 0.704 0.068 0.809
## 397 0.882 0.060 0.798
## 398 0.923 0.098 0.820
## 399 0.912 0.096 0.816
## 400 0.886 0.065 0.787
## 401 0.881 0.047 0.763
## 402 0.926 -0.033 0.837
## 403 0.929 0.046 0.794
## 404 0.898 0.018 0.813
## 405 0.927 0.010 0.788
## 406 0.907 -0.059 0.761
## 407 0.873 -0.032 0.781
## 408 0.936 -0.076 0.742
## 409 0.942 -0.107 0.781
## 410 0.927 -0.146 0.836
## 411 0.662 -0.092 0.934
## 412 0.549 -0.271 0.958
## 413 0.564 -0.237 0.973
## 414 0.517 -0.198 0.977
## 415 0.542 -0.242 0.924
## 416 0.627 -0.204 0.936
## 417 0.519 0.132 0.918
## 418 0.694 -0.096 0.849
## 419 0.672 -0.065 0.884
## 420 0.716 -0.104 0.892
## 421 0.691 -0.151 0.925
## 422 0.739 -0.137 0.932
## 423 0.837 -0.063 0.961
## 424 0.281 NA NA
## 425 0.836 0.018 0.712
## 426 0.775 0.054 0.801
## 427 0.755 0.073 0.833
## 428 0.745 0.180 0.841
## 429 0.725 0.098 0.871
## 430 0.656 0.102 0.867
## 431 0.715 0.060 0.868
## 432 0.628 0.114 0.893
## 433 0.756 -0.030 0.898
## 434 0.812 0.043 0.851
## 435 0.794 -0.022 0.848
## 436 0.740 -0.008 0.865
## 437 0.763 NA 0.816
## 438 0.865 NA 0.901
## 439 0.799 -0.063 0.928
## 440 0.779 -0.042 0.926
## 441 0.787 -0.106 0.950
## 442 0.740 -0.154 0.957
## 443 0.726 -0.156 0.916
## 444 0.800 -0.168 0.897
## 445 0.808 -0.146 0.886
## 446 0.850 -0.197 0.900
## 447 0.832 -0.177 0.867
## 448 0.790 -0.292 0.851
## 449 0.906 -0.127 0.884
## 450 0.971 NA 0.237
## 451 0.932 0.240 0.206
## 452 0.970 0.272 0.248
## 453 0.949 0.264 0.206
## 454 0.944 0.242 0.175
## 455 0.935 0.298 0.220
## 456 0.933 0.139 0.187
## 457 0.920 0.215 0.170
## 458 0.942 0.118 0.237
## 459 0.941 0.222 0.191
## 460 0.948 0.138 0.210
## 461 0.955 0.155 0.181
## 462 0.935 0.018 0.151
## 463 0.963 0.020 0.174
## 464 0.938 0.052 0.214
## 465 0.773 0.129 0.576
## 466 0.649 0.005 0.634
## 467 0.764 -0.058 0.597
## 468 0.746 -0.057 0.519
## 469 0.858 0.038 0.755
## 470 0.886 -0.008 0.772
## 471 0.848 -0.045 0.728
## 472 0.863 -0.053 0.806
## 473 0.824 -0.075 0.780
## 474 0.848 0.014 0.788
## 475 0.840 -0.062 0.727
## 476 0.889 0.021 0.752
## 477 0.905 -0.020 0.760
## 478 0.856 -0.065 0.755
## 479 0.873 -0.080 0.737
## 480 0.855 -0.121 0.760
## 481 0.867 -0.150 0.762
## 482 0.877 -0.123 0.746
## 483 0.835 -0.128 0.636
## 484 0.671 -0.091 0.901
## 485 0.670 -0.063 0.830
## 486 0.640 -0.094 0.801
## 487 0.737 -0.108 0.774
## 488 0.723 -0.063 0.806
## 489 0.788 -0.155 0.702
## 490 0.825 -0.084 0.730
## 491 0.787 -0.191 0.646
## 492 0.719 -0.167 0.661
## 493 0.801 -0.114 0.666
## 494 0.846 -0.015 0.774
## 495 0.879 -0.167 0.734
## 496 0.869 -0.099 0.831
## 497 0.830 -0.115 0.839
## 498 0.829 -0.157 0.855
## 499 0.817 NA NA
## 500 0.609 -0.121 NA
## 501 NA -0.087 0.914
## 502 0.611 -0.100 0.801
## 503 0.486 -0.076 0.826
## 504 0.590 -0.151 0.859
## 505 0.452 -0.138 0.880
## 506 0.474 -0.141 0.913
## 507 0.578 -0.126 0.749
## 508 0.659 -0.089 0.684
## 509 0.656 -0.141 0.818
## 510 0.593 -0.152 NA
## 511 0.682 -0.215 NA
## 512 0.774 -0.199 NA
## 513 0.770 -0.112 NA
## 514 0.683 -0.056 0.807
## 515 0.639 -0.015 0.785
## 516 0.636 -0.078 0.735
## 517 0.671 -0.103 0.648
## 518 0.669 -0.064 0.694
## 519 0.747 -0.126 0.707
## 520 0.683 -0.155 0.786
## 521 0.716 -0.150 0.772
## 522 0.778 -0.194 0.781
## 523 0.733 -0.156 0.805
## 524 0.800 -0.185 0.797
## 525 0.758 -0.172 0.778
## 526 0.863 -0.095 0.801
## 527 0.877 -0.109 0.682
## 528 0.924 -0.126 0.583
## 529 0.749 -0.264 0.797
## 530 0.712 -0.246 0.743
## 531 0.642 -0.217 0.663
## 532 0.611 -0.230 0.793
## 533 0.735 -0.168 0.687
## 534 0.697 -0.192 0.793
## 535 0.754 -0.201 0.726
## 536 0.773 -0.153 0.652
## 537 0.815 -0.164 0.569
## 538 0.843 -0.149 0.639
## 539 0.862 -0.101 0.668
## 540 0.886 -0.141 0.621
## 541 0.887 -0.096 0.576
## 542 0.954 -0.082 0.398
## 543 0.776 -0.044 NA
## 544 0.707 -0.008 0.750
## 545 0.694 0.080 0.702
## 546 0.803 0.113 0.567
## 547 0.744 0.038 0.703
## 548 0.717 0.001 0.757
## 549 0.740 0.039 0.799
## 550 0.754 0.053 0.732
## 551 0.769 0.188 0.784
## 552 0.969 -0.005 0.132
## 553 0.934 0.028 0.217
## 554 0.916 0.091 0.413
## 555 0.936 0.101 0.320
## 556 0.921 -0.001 0.361
## 557 0.919 0.040 0.306
## 558 0.933 -0.001 0.265
## 559 0.930 0.111 0.223
## 560 0.948 -0.027 0.250
## 561 0.962 -0.002 0.192
## 562 0.938 -0.127 0.199
## 563 0.948 -0.052 0.195
## 564 0.962 -0.116 0.164
## 565 0.895 NA 0.688
## 566 0.789 0.126 0.699
## 567 0.833 -0.031 0.669
## 568 0.798 -0.082 0.654
## 569 0.850 -0.104 0.623
## 570 0.903 -0.102 0.627
## 571 0.841 -0.149 0.608
## 572 0.878 -0.125 0.699
## 573 0.803 -0.118 0.656
## 574 0.817 -0.139 0.641
## 575 0.787 -0.091 0.623
## 576 0.834 -0.123 0.601
## 577 0.816 -0.138 0.582
## 578 0.827 -0.133 0.568
## 579 0.823 -0.169 0.565
## 580 0.772 -0.211 0.851
## 581 0.566 -0.195 0.810
## 582 0.682 -0.146 0.780
## 583 0.607 -0.198 0.782
## 584 0.671 -0.194 0.867
## 585 0.699 -0.204 0.817
## 586 0.652 -0.228 0.868
## 587 0.719 -0.197 0.823
## 588 0.736 -0.203 0.846
## 589 0.812 0.111 0.572
## 590 0.719 0.440 0.691
## 591 0.677 0.410 0.798
## 592 0.553 -0.267 0.752
## 593 0.464 -0.267 0.697
## 594 0.614 -0.224 0.498
## 595 0.495 -0.233 0.535
## 596 0.558 -0.248 0.460
## 597 0.632 -0.255 0.353
## 598 0.659 -0.269 0.321
## 599 0.722 -0.254 0.349
## 600 0.720 -0.233 0.416
## 601 0.640 -0.205 0.502
## 602 0.606 -0.249 0.561
## 603 0.821 -0.244 0.590
## 604 0.775 -0.233 0.755
## 605 0.811 -0.260 0.647
## 606 0.764 -0.221 0.583
## 607 0.847 NA 0.781
## 608 0.801 0.167 0.792
## 609 0.766 NA 0.758
## 610 0.844 0.127 0.690
## 611 0.843 0.095 0.688
## 612 0.906 0.033 0.677
## 613 0.904 0.071 0.679
## 614 0.894 0.024 0.566
## 615 0.899 0.088 0.474
## 616 0.889 0.178 0.412
## 617 0.871 0.148 0.446
## 618 0.841 0.145 0.414
## 619 0.877 0.034 0.496
## 620 0.885 0.057 0.462
## 621 0.864 -0.060 0.424
## 622 0.849 0.213 0.814
## 623 0.891 0.138 0.771
## 624 0.838 0.120 0.863
## 625 0.757 0.005 0.890
## 626 0.891 0.074 0.875
## 627 0.852 0.011 0.790
## 628 0.679 0.040 0.898
## 629 0.794 -0.065 0.880
## 630 0.677 0.001 0.913
## 631 0.852 -0.038 0.945
## 632 0.751 0.090 0.894
## 633 0.783 0.079 0.839
## 634 0.817 0.062 0.846
## 635 0.787 0.116 0.857
## 636 0.824 0.200 0.847
## 637 0.734 NA 0.861
## 638 0.575 -0.190 0.845
## 639 0.443 -0.293 0.959
## 640 0.484 -0.303 0.954
## 641 0.528 -0.316 0.941
## 642 0.373 -0.305 0.959
## 643 0.426 -0.272 0.941
## 644 0.369 -0.288 0.930
## 645 0.532 -0.272 0.824
## 646 0.482 -0.260 0.898
## 647 0.438 -0.290 0.872
## 648 0.564 -0.335 0.860
## 649 0.614 -0.289 0.848
## 650 0.565 -0.241 0.764
## 651 0.663 0.172 0.706
## 652 0.628 0.136 0.810
## 653 0.630 0.206 0.796
## 654 0.643 0.197 0.755
## 655 0.696 0.166 0.795
## 656 0.763 0.009 0.863
## 657 0.865 0.020 0.821
## 658 0.884 0.045 0.817
## 659 0.843 0.108 0.804
## 660 0.869 0.051 0.822
## 661 0.863 0.011 0.812
## 662 0.915 -0.059 0.800
## 663 0.910 -0.010 0.765
## 664 0.901 -0.062 0.773
## 665 0.797 0.041 0.743
## 666 0.646 0.001 0.794
## 667 0.693 0.091 0.815
## 668 0.684 0.006 0.705
## 669 0.666 0.007 0.762
## 670 0.726 -0.056 0.803
## 671 0.738 0.038 0.750
## 672 0.731 0.092 0.778
## 673 0.691 0.097 0.756
## 674 0.694 0.110 0.836
## 675 0.449 0.401 0.854
## 676 0.465 0.261 0.812
## 677 0.373 0.216 0.848
## 678 0.413 0.243 0.682
## 679 0.482 0.289 0.717
## 680 0.610 0.289 0.669
## 681 0.509 0.285 0.708
## 682 0.398 0.306 0.777
## 683 0.304 0.291 0.839
## 684 0.484 0.381 0.647
## 685 0.591 0.422 0.720
## 686 0.650 0.089 0.844
## 687 0.676 0.230 0.826
## 688 0.687 0.223 0.863
## 689 0.661 0.119 0.857
## 690 0.646 0.105 0.820
## 691 0.783 0.095 0.884
## 692 0.700 -0.003 0.871
## 693 0.698 -0.027 0.868
## 694 0.696 0.015 0.834
## 695 0.534 -0.097 0.848
## 696 0.850 0.080 0.793
## 697 0.898 0.072 0.783
## 698 0.872 0.099 0.804
## 699 0.846 0.063 0.815
## 700 0.910 0.156 0.356
## 701 0.922 0.296 0.274
## 702 0.918 0.308 0.272
## 703 0.890 0.332 0.256
## 704 0.894 0.235 0.245
## 705 0.880 0.222 0.380
## 706 0.843 0.224 0.423
## 707 0.800 0.100 0.403
## 708 0.831 0.140 0.416
## 709 0.727 0.067 0.432
## 710 0.705 NA 0.380
## 711 0.697 NA 0.903
## 712 0.538 -0.161 0.895
## 713 0.464 -0.125 0.915
## 714 0.514 -0.145 0.983
## 715 0.631 -0.089 0.940
## 716 0.569 -0.136 0.930
## 717 0.674 -0.113 0.912
## 718 0.494 -0.150 0.855
## 719 0.558 -0.198 0.908
## 720 0.554 -0.187 0.924
## 721 0.661 -0.139 0.886
## 722 0.693 -0.243 0.911
## 723 0.798 -0.195 0.884
## 724 0.771 -0.120 0.836
## 725 0.885 0.272 0.708
## 726 0.905 0.241 0.759
## 727 0.923 0.306 0.713
## 728 0.940 0.301 0.639
## 729 0.952 0.281 0.719
## 730 0.939 0.246 0.727
## 731 0.959 NA 0.699
## 732 0.949 0.160 0.644
## 733 0.774 NA 0.855
## 734 0.729 -0.051 0.862
## 735 0.756 -0.072 0.891
## 736 0.679 -0.026 0.895
## 737 0.783 0.058 0.863
## 738 0.838 -0.038 0.908
## 739 0.609 0.067 0.830
## 740 0.740 0.084 0.832
## 741 0.809 -0.026 0.832
## 742 0.777 -0.005 0.776
## 743 0.820 0.046 0.765
## 744 0.886 -0.042 0.781
## 745 0.890 0.085 0.805
## 746 0.876 0.112 0.752
## 747 0.906 0.075 0.780
## 748 0.713 0.347 0.915
## 749 0.603 0.311 0.960
## 750 0.596 0.164 0.968
## 751 0.784 0.191 0.911
## 752 0.700 0.448 0.954
## 753 0.878 0.438 0.962
## 754 0.770 0.354 0.962
## 755 0.781 0.376 0.973
## 756 0.719 0.408 0.970
## 757 0.779 0.471 0.946
## 758 0.830 0.500 0.890
## 759 0.865 0.488 0.900
## 760 0.879 0.512 0.868
## 761 0.866 0.555 0.861
## 762 0.651 NA 0.636
## 763 0.533 0.056 0.872
## 764 0.601 0.052 0.868
## 765 0.798 0.200 0.665
## 766 0.764 NA 0.678
## 767 0.730 0.216 0.685
## 768 0.767 0.241 0.640
## 769 0.780 0.176 0.699
## 770 0.773 0.186 0.713
## 771 0.731 0.218 0.715
## 772 0.603 NA 0.703
## 773 0.623 NA 0.728
## 774 0.600 NA 0.710
## 775 0.386 -0.061 0.910
## 776 0.431 -0.199 0.854
## 777 0.419 -0.125 0.859
## 778 0.347 -0.070 0.780
## 779 0.315 -0.020 0.789
## 780 NA -0.050 0.710
## 781 0.646 -0.001 0.726
## 782 0.599 0.019 0.762
## 783 0.666 -0.052 0.799
## 784 0.628 0.000 0.757
## 785 0.598 -0.068 0.887
## 786 0.700 -0.021 0.849
## 787 0.943 0.242 0.473
## 788 0.894 0.322 0.487
## 789 0.835 0.315 0.580
## 790 0.856 0.348 0.618
## 791 0.952 0.383 0.590
## 792 0.902 0.302 0.573
## 793 0.884 0.331 0.558
## 794 0.922 0.264 0.406
## 795 0.892 0.233 0.409
## 796 0.875 0.174 0.399
## 797 0.905 0.216 0.337
## 798 0.861 0.144 0.362
## 799 0.892 0.074 0.373
## 800 0.882 0.014 0.356
## 801 0.817 NA 0.905
## 802 0.683 0.219 0.868
## 803 0.663 0.139 0.898
## 804 0.593 0.172 0.923
## 805 0.561 0.150 0.902
## 806 0.722 0.141 0.891
## 807 0.681 0.153 0.862
## 808 0.739 0.150 0.849
## 809 0.707 0.094 0.818
## 810 0.753 0.108 0.789
## 811 0.772 0.153 0.804
## 812 0.768 0.145 0.793
## 813 0.725 0.055 0.770
## 814 0.834 0.085 0.743
## 815 0.831 -0.049 0.748
## 816 0.802 NA 0.944
## 817 0.684 0.113 0.922
## 818 0.543 0.049 0.946
## 819 0.701 0.240 0.890
## 820 0.738 -0.060 0.921
## 821 0.568 -0.018 0.933
## 822 0.570 0.113 0.908
## 823 0.499 -0.102 0.943
## 824 0.624 -0.065 0.920
## 825 0.575 -0.064 0.913
## 826 0.624 -0.081 0.903
## 827 0.633 -0.035 0.867
## 828 0.650 -0.021 0.888
## 829 0.709 -0.082 0.866
## 830 0.718 -0.150 0.844
## 831 0.760 -0.153 0.902
## 832 0.739 -0.031 0.691
## 833 0.781 -0.080 0.671
## 834 0.800 -0.053 0.744
## 835 0.769 -0.043 0.757
## 836 0.732 -0.111 0.771
## 837 0.713 -0.050 0.791
## 838 0.736 -0.017 0.799
## 839 0.770 0.016 0.777
## 840 0.738 -0.004 0.946
## 841 0.796 -0.064 0.909
## 842 0.793 -0.021 0.931
## 843 0.809 -0.001 0.861
## 844 0.861 -0.130 0.883
## 845 0.891 -0.137 0.885
## 846 0.868 NA 0.699
## 847 0.796 -0.090 0.809
## 848 0.772 -0.135 0.816
## 849 0.730 -0.210 0.740
## 850 0.772 -0.140 0.770
## 851 0.814 -0.052 0.734
## 852 0.753 NA 0.692
## 853 0.821 -0.147 0.650
## 854 0.838 -0.139 0.617
## 855 0.832 -0.155 0.654
## 856 0.836 -0.062 0.698
## 857 0.849 -0.206 0.659
## 858 0.773 -0.261 0.687
## 859 0.806 -0.255 0.617
## 860 0.806 -0.259 0.609
## 861 NA NA 0.670
## 862 0.646 -0.112 0.664
## 863 NA -0.127 0.709
## 864 0.771 -0.075 0.739
## 865 0.788 -0.046 NA
## 866 0.760 -0.143 NA
## 867 0.693 -0.160 NA
## 868 0.692 -0.117 NA
## 869 0.729 -0.104 NA
## 870 0.767 -0.046 NA
## 871 0.771 -0.038 NA
## 872 0.766 -0.152 NA
## 873 0.762 -0.186 NA
## 874 0.726 -0.165 NA
## 875 0.779 -0.150 NA
## 876 0.731 -0.274 0.865
## 877 0.806 -0.246 0.865
## 878 0.727 -0.221 0.899
## 879 0.856 -0.249 0.845
## 880 0.785 -0.215 0.823
## 881 0.878 -0.235 0.802
## 882 0.840 -0.171 0.877
## 883 0.782 -0.229 0.820
## 884 0.799 0.004 0.805
## 885 0.740 -0.037 0.714
## 886 0.783 -0.036 0.702
## 887 0.745 -0.035 0.755
## 888 0.840 -0.098 0.824
## 889 0.852 -0.055 0.708
## 890 0.872 -0.056 0.661
## 891 0.616 -0.020 0.860
## 892 0.750 0.054 0.799
## 893 0.620 -0.012 0.909
## 894 0.584 0.100 0.913
## 895 0.635 0.019 0.918
## 896 0.709 0.022 0.923
## 897 0.628 0.066 0.911
## 898 0.708 0.212 0.861
## 899 0.819 0.172 0.849
## 900 0.793 0.221 0.853
## 901 0.749 0.298 0.828
## 902 0.853 0.234 0.854
## 903 0.821 0.291 0.844
## 904 0.818 0.310 0.794
## 905 0.702 0.260 0.837
## 906 0.381 0.144 0.894
## 907 NA 0.090 0.849
## 908 0.506 0.201 0.968
## 909 0.451 0.170 0.967
## 910 0.589 0.004 0.919
## 911 0.636 0.027 0.950
## 912 0.568 0.115 0.935
## 913 0.441 0.012 0.775
## 914 0.561 0.181 0.851
## 915 0.827 0.125 0.941
## 916 0.858 0.117 0.925
## 917 0.890 0.269 0.922
## 918 0.841 0.247 0.920
## 919 0.880 NA 0.910
## 920 0.769 -0.236 0.328
## 921 0.819 0.007 0.675
## 922 0.703 -0.031 0.486
## 923 0.769 NA 0.560
## 924 0.934 NA NA
## 925 0.751 NA NA
## 926 NA NA NA
## 927 0.822 0.082 NA
## 928 0.841 -0.075 NA
## 929 0.884 -0.005 NA
## 930 0.867 -0.104 NA
## 931 0.678 -0.140 0.879
## 932 0.684 -0.091 0.929
## 933 0.719 -0.100 0.923
## 934 0.699 -0.140 0.896
## 935 0.720 -0.072 0.926
## 936 0.748 -0.155 0.932
## 937 0.703 -0.079 0.892
## 938 0.755 -0.085 0.900
## 939 0.736 0.355 0.897
## 940 0.813 0.200 0.858
## 941 0.814 0.056 0.917
## 942 0.859 0.143 0.874
## 943 0.945 0.267 0.907
## 944 0.920 -0.002 0.885
## 945 0.935 0.103 0.931
## 946 0.925 0.439 0.688
## 947 0.867 0.478 0.580
## 948 0.886 0.416 0.637
## 949 0.882 0.459 0.587
## 950 NA 0.232 NA
## 951 0.891 0.073 0.592
## 952 0.907 0.141 0.634
## 953 0.906 0.061 0.620
## 954 0.915 0.141 0.748
## 955 0.641 -0.229 0.937
## 956 0.700 -0.167 0.924
## 957 0.630 -0.203 0.926
## 958 0.437 -0.180 0.942
## 959 0.564 -0.002 0.934
## 960 0.564 -0.038 0.895
## 961 0.631 -0.073 0.837
## 962 0.671 -0.043 0.804
## 963 0.656 -0.077 0.808
## 964 0.685 -0.156 0.868
## 965 0.700 -0.154 0.798
## 966 0.608 -0.212 0.799
## 967 0.698 -0.194 0.789
## 968 0.820 -0.078 0.809
## 969 0.703 NA 0.945
## 970 0.670 0.069 0.902
## 971 0.524 0.035 0.927
## 972 0.665 0.071 0.937
## 973 0.678 0.073 0.949
## 974 0.657 0.006 0.911
## 975 0.621 -0.006 0.856
## 976 0.655 -0.004 0.921
## 977 0.657 -0.012 0.939
## 978 0.597 0.073 0.889
## 979 0.657 0.031 0.853
## 980 0.605 -0.074 0.911
## 981 0.607 -0.066 0.907
## 982 0.447 -0.081 0.890
## 983 0.618 -0.087 0.768
## 984 0.729 -0.099 0.743
## 985 0.757 -0.145 0.797
## 986 0.716 -0.131 0.915
## 987 0.790 0.115 0.776
## 988 0.724 -0.035 0.840
## 989 0.819 -0.038 0.818
## 990 0.590 -0.030 0.869
## 991 0.671 -0.061 0.903
## 992 0.763 0.033 0.901
## 993 0.733 -0.012 0.867
## 994 0.766 0.050 0.868
## 995 0.706 0.051 0.828
## 996 0.712 -0.032 0.791
## 997 0.775 -0.044 NA
## 998 0.822 -0.089 NA
## 999 0.779 -0.019 0.673
## 1000 0.781 -0.101 0.646
## 1001 0.762 -0.073 0.686
## 1002 0.567 -0.295 0.967
## 1003 0.590 -0.282 0.966
## 1004 0.621 -0.259 0.961
## 1005 0.496 -0.303 0.979
## 1006 0.519 -0.275 0.962
## 1007 0.566 -0.148 0.964
## 1008 0.503 -0.273 0.957
## 1009 0.556 -0.237 0.936
## 1010 0.508 -0.263 0.956
## 1011 0.641 -0.254 0.924
## 1012 0.614 -0.266 0.949
## 1013 0.749 -0.174 0.790
## 1014 0.699 -0.237 0.852
## 1015 0.780 -0.251 0.783
## 1016 0.824 -0.122 0.829
## 1017 0.939 0.127 0.432
## 1018 0.908 0.096 0.423
## 1019 0.962 0.106 0.388
## 1020 0.917 0.059 0.403
## 1021 0.790 -0.054 0.301
## 1022 0.938 0.106 0.366
## 1023 0.932 0.052 0.375
## 1024 0.882 0.019 0.356
## 1025 0.903 0.044 0.330
## 1026 0.884 -0.022 0.385
## 1027 0.930 -0.045 0.390
## 1028 NA -0.039 NA
## 1029 0.332 -0.099 0.773
## 1030 0.546 -0.062 0.897
## 1031 0.487 -0.055 0.854
## 1032 0.480 -0.019 0.868
## 1033 0.529 -0.023 0.791
## 1034 0.545 -0.041 0.861
## 1035 0.570 -0.069 0.864
## 1036 0.570 -0.033 0.847
## 1037 0.551 0.003 0.889
## 1038 0.550 -0.012 0.720
## 1039 0.767 0.200 0.676
## 1040 0.910 0.202 0.691
## 1041 0.879 0.176 0.689
## 1042 0.733 0.099 0.853
## 1043 0.637 0.169 0.886
## 1044 0.752 0.078 0.857
## 1045 0.786 0.061 0.824
## 1046 0.801 0.058 0.835
## 1047 0.810 0.066 0.824
## 1048 0.848 0.025 0.735
## 1049 0.799 0.073 0.766
## 1050 0.765 0.004 0.680
## 1051 0.837 0.201 0.740
## 1052 0.844 0.089 0.799
## 1053 0.780 0.044 0.884
## 1054 0.874 -0.009 0.858
## 1055 0.769 0.032 0.844
## 1056 0.840 -0.016 0.842
## 1057 0.848 0.017 0.847
## 1058 0.791 0.264 0.755
## 1059 0.808 0.239 0.845
## 1060 0.675 0.222 0.838
## 1061 0.875 0.127 0.894
## 1062 0.916 0.123 0.782
## 1063 0.855 0.024 NA
## 1064 0.555 -0.072 0.761
## 1065 0.495 -0.012 0.918
## 1066 0.634 0.008 0.819
## 1067 0.749 -0.028 0.811
## 1068 0.823 -0.101 0.726
## 1069 0.704 -0.088 0.787
## 1070 0.665 -0.053 0.755
## 1071 0.652 -0.037 0.658
## 1072 0.634 -0.068 0.800
## 1073 0.696 -0.070 0.862
## 1074 0.753 -0.069 0.863
## 1075 0.737 -0.034 0.793
## 1076 0.670 -0.038 0.846
## 1077 0.803 0.464 NA
## 1078 0.802 0.287 NA
## 1079 0.882 0.296 NA
## 1080 0.861 0.352 NA
## 1081 0.909 0.410 NA
## 1082 0.904 0.404 0.670
## 1083 0.912 0.347 0.664
## 1084 0.916 0.345 0.696
## 1085 0.924 0.253 0.690
## 1086 0.927 0.179 0.595
## 1087 0.924 0.087 0.689
## 1088 0.931 NA 0.675
## 1089 0.573 -0.072 0.586
## 1090 0.593 -0.018 0.841
## 1091 0.735 0.039 0.848
## 1092 0.669 0.055 0.727
## 1093 0.567 0.052 0.747
## 1094 0.487 -0.021 0.707
## 1095 0.603 -0.079 0.676
## 1096 0.468 -0.054 0.589
## 1097 0.447 0.055 0.715
## 1098 0.467 -0.175 0.842
## 1099 0.527 -0.153 0.777
## 1100 0.467 -0.112 0.711
## 1101 0.628 -0.102 0.743
## 1102 0.848 0.191 0.847
## 1103 0.824 0.176 0.879
## 1104 0.819 0.139 0.891
## 1105 0.912 0.087 0.818
## 1106 0.867 -0.073 0.785
## 1107 0.893 -0.053 0.810
## 1108 0.843 -0.037 0.772
## 1109 0.814 NA 0.764
## 1110 0.670 -0.095 0.747
## 1111 0.677 -0.128 0.785
## 1112 0.682 -0.076 0.764
## 1113 0.778 -0.048 0.693
## 1114 0.831 -0.099 0.698
## 1115 0.788 -0.093 0.633
## 1116 0.739 -0.165 0.615
## 1117 0.779 -0.094 0.630
## 1118 0.719 -0.152 0.708
## 1119 0.752 -0.153 0.809
## 1120 0.861 -0.202 0.801
## 1121 0.816 -0.179 0.809
## 1122 0.903 -0.141 0.809
## 1123 0.873 -0.119 0.778
## 1124 0.554 -0.164 0.926
## 1125 0.696 -0.186 0.930
## 1126 0.641 -0.056 0.926
## 1127 0.551 -0.099 0.925
## 1128 0.598 -0.088 0.929
## 1129 0.628 -0.082 0.957
## 1130 0.602 -0.050 0.955
## 1131 0.658 -0.069 0.941
## 1132 0.623 -0.113 0.925
## 1133 0.595 -0.090 0.943
## 1134 0.557 -0.047 0.969
## 1135 0.553 -0.053 0.926
## 1136 0.824 -0.084 0.929
## 1137 0.784 -0.092 0.884
## 1138 0.859 -0.058 0.941
## 1139 0.781 0.064 0.918
## 1140 0.484 0.068 0.962
## 1141 0.631 0.099 0.928
## 1142 0.700 0.151 0.931
## 1143 0.688 0.107 0.932
## 1144 0.748 0.136 0.928
## 1145 0.752 0.146 0.909
## 1146 0.686 0.173 0.900
## 1147 0.760 0.090 0.900
## 1148 0.675 0.119 0.865
## 1149 0.696 0.054 0.849
## 1150 0.711 0.149 0.873
## 1151 0.718 0.141 0.843
## 1152 0.512 -0.134 0.815
## 1153 0.556 -0.101 0.838
## 1154 0.552 -0.206 0.757
## 1155 0.546 -0.226 0.762
## 1156 0.462 -0.192 0.755
## 1157 0.502 -0.176 0.693
## 1158 0.503 0.097 0.768
## 1159 0.583 -0.144 0.781
## 1160 0.569 -0.087 0.849
## 1161 0.626 -0.083 0.756
## 1162 0.626 -0.051 0.769
## 1163 0.694 -0.105 0.820
## 1164 0.802 0.060 0.845
## 1165 0.663 -0.162 0.900
## 1166 0.579 -0.218 0.875
## 1167 0.757 -0.187 0.845
## 1168 0.572 -0.210 0.771
## 1169 0.713 -0.228 0.842
## 1170 0.817 -0.237 0.717
## 1171 0.814 -0.216 0.841
## 1172 0.773 -0.234 0.843
## 1173 0.757 -0.244 0.757
## 1174 0.819 -0.229 0.803
## 1175 0.684 0.041 0.758
## 1176 0.643 0.074 0.854
## 1177 0.514 0.006 0.864
## 1178 0.639 -0.024 0.719
## 1179 0.813 0.089 0.632
## 1180 0.823 -0.030 0.682
## 1181 0.897 0.049 0.691
## 1182 0.870 0.073 0.682
## 1183 0.691 0.645 0.695
## 1184 0.775 0.689 0.638
## 1185 NA 0.698 0.592
## 1186 0.808 0.688 0.633
## 1187 0.877 0.679 0.607
## 1188 0.886 0.650 0.619
## 1189 0.906 0.490 0.647
## 1190 0.899 0.561 0.682
## 1191 0.825 0.470 0.647
## 1192 0.781 -0.101 0.839
## 1193 0.849 -0.183 0.790
## 1194 0.810 -0.190 0.831
## 1195 0.754 -0.169 0.846
## 1196 0.739 -0.174 0.879
## 1197 0.666 -0.104 0.810
## 1198 0.689 NA 0.897
## 1199 0.413 0.317 0.891
## 1200 0.618 0.291 0.900
## 1201 0.616 0.044 0.950
## 1202 0.519 0.092 0.911
## 1203 0.525 -0.010 0.935
## 1204 0.638 0.070 0.883
## 1205 0.722 0.151 0.877
## 1206 0.712 0.121 0.841
## 1207 0.763 0.227 0.824
## 1208 0.839 0.168 0.817
## 1209 0.845 0.134 0.770
## 1210 0.770 0.122 0.742
## 1211 0.790 0.167 0.712
## 1212 0.901 NA 0.571
## 1213 0.896 0.344 0.445
## 1214 0.883 0.365 0.419
## 1215 0.921 0.349 0.399
## 1216 0.925 0.336 0.359
## 1217 0.877 0.288 0.434
## 1218 0.919 0.305 0.505
## 1219 0.910 0.331 0.457
## 1220 0.904 0.261 0.412
## 1221 0.907 0.239 0.433
## 1222 0.920 0.250 0.363
## 1223 0.920 0.161 0.371
## 1224 0.886 0.213 0.360
## 1225 0.935 0.151 0.281
## 1226 0.932 0.312 0.224
## 1227 0.878 0.279 0.295
## 1228 0.893 0.298 0.334
## 1229 0.918 0.254 0.321
## 1230 0.935 0.284 0.269
## 1231 0.902 0.287 0.289
## 1232 0.944 0.237 0.312
## 1233 0.932 0.348 0.273
## 1234 0.942 0.329 0.186
## 1235 0.927 0.266 0.278
## 1236 0.942 0.294 0.222
## 1237 0.949 0.120 0.207
## 1238 0.912 0.157 0.234
## 1239 0.918 0.125 0.283
## 1240 0.745 0.010 0.844
## 1241 0.836 0.140 0.826
## 1242 0.791 0.076 0.819
## 1243 0.746 0.070 0.794
## 1244 0.792 0.018 0.802
## 1245 0.779 -0.020 0.760
## 1246 0.850 0.017 0.644
## 1247 0.859 0.039 0.636
## 1248 0.817 0.104 0.699
## 1249 0.809 0.077 0.728
## 1250 0.717 0.039 0.731
## 1251 0.922 0.010 0.673
## 1252 0.797 0.009 0.713
## 1253 0.883 0.029 0.622
## 1254 0.750 0.076 0.755
## 1255 0.584 -0.056 0.748
## 1256 0.649 -0.055 0.749
## 1257 0.880 -0.009 0.483
## 1258 0.817 -0.023 0.529
## 1259 0.780 -0.055 0.549
## 1260 0.734 -0.064 0.777
## 1261 0.825 -0.077 0.711
## 1262 0.688 -0.046 0.605
## 1263 0.728 -0.032 0.703
## 1264 0.702 -0.016 0.814
## 1265 0.684 -0.030 0.778
## 1266 0.791 0.009 0.637
## 1267 0.831 0.026 0.729
## 1268 0.649 0.085 0.871
## 1269 0.635 0.136 0.918
## 1270 0.584 0.119 0.892
## 1271 0.537 0.067 0.913
## 1272 0.565 0.067 0.911
## 1273 0.652 0.066 0.900
## 1274 0.622 0.051 0.905
## 1275 0.680 -0.035 0.926
## 1276 0.798 0.043 0.905
## 1277 0.826 0.124 0.835
## 1278 0.790 -0.010 0.866
## 1279 0.729 0.032 0.873
## 1280 0.713 0.099 0.913
## 1281 0.693 NA 0.855
## 1282 0.775 NA 0.715
## 1283 0.830 NA 0.692
## 1284 0.785 NA 0.659
## 1285 0.796 NA 0.670
## 1286 0.797 NA 0.614
## 1287 0.793 NA 0.640
## 1288 0.439 0.080 0.870
## 1289 0.552 -0.042 0.844
## 1290 0.513 -0.058 0.856
## 1291 0.607 -0.087 0.865
## 1292 0.613 -0.084 0.920
## 1293 0.641 0.025 0.861
## 1294 0.645 0.035 0.861
## 1295 0.660 -0.047 0.824
## 1296 0.706 0.080 0.870
## 1297 0.752 -0.059 0.856
## 1298 0.745 -0.041 0.910
## 1299 0.725 0.024 0.923
## 1300 0.787 0.131 0.877
## 1301 0.960 0.109 0.397
## 1302 0.947 0.018 0.503
## 1303 0.947 0.147 0.368
## 1304 0.956 0.181 0.405
## 1305 0.948 0.257 0.299
## 1306 0.954 0.133 0.410
## 1307 0.953 0.236 0.250
## 1308 0.960 0.094 0.268
## 1309 0.954 0.111 0.271
## 1310 0.965 0.075 0.271
## 1311 0.916 0.025 NA
## 1312 0.630 NA 0.844
## 1313 0.396 0.089 0.794
## 1314 0.335 0.100 0.848
## 1315 0.388 0.077 0.874
## 1316 0.364 0.300 0.852
## 1317 0.376 0.030 0.857
## 1318 0.367 0.165 0.842
## 1319 0.448 0.100 0.792
## 1320 0.543 0.140 0.677
## 1321 0.587 0.085 0.717
## 1322 0.634 0.095 0.793
## 1323 0.713 0.045 0.714
## 1324 0.773 0.069 0.799
## 1325 0.685 0.124 0.776
## 1326 0.547 NA 0.858
## 1327 0.365 -0.080 0.844
## 1328 0.358 -0.070 0.753
## 1329 0.468 -0.085 0.797
## 1330 0.504 -0.117 0.752
## 1331 0.522 -0.127 0.750
## 1332 0.542 -0.153 0.730
## 1333 0.454 -0.150 0.780
## 1334 0.657 -0.147 0.804
## 1335 0.556 -0.153 0.774
## 1336 0.608 -0.129 0.812
## 1337 0.632 -0.163 0.831
## 1338 0.655 NA 0.814
## 1339 0.653 NA 0.829
## 1340 0.882 -0.047 0.912
## 1341 0.640 0.083 0.915
## 1342 0.707 0.060 0.881
## 1343 0.721 0.014 0.889
## 1344 0.755 -0.009 0.880
## 1345 0.829 0.009 0.840
## 1346 0.783 -0.002 0.796
## 1347 0.811 0.018 0.814
## 1348 0.894 0.002 0.847
## 1349 0.847 -0.007 0.810
## 1350 0.884 -0.102 0.837
## 1351 0.900 -0.170 0.841
## 1352 0.861 -0.131 0.837
## 1353 0.883 -0.199 0.869
## 1354 0.691 0.066 0.841
## 1355 0.699 0.132 0.930
## 1356 0.649 0.057 0.891
## 1357 0.718 0.027 0.857
## 1358 0.726 0.076 0.780
## 1359 0.666 0.191 0.756
## 1360 0.748 0.200 0.774
## 1361 0.909 0.046 0.903
## 1362 0.759 -0.002 0.762
## 1363 0.806 -0.008 0.863
## 1364 0.854 -0.071 0.756
## 1365 0.891 0.003 0.810
## 1366 0.876 0.028 0.882
## 1367 0.668 -0.071 0.895
## 1368 0.638 -0.078 0.931
## 1369 0.638 -0.067 0.896
## 1370 0.638 -0.079 0.880
## 1371 0.757 -0.060 0.881
## 1372 0.773 -0.123 0.824
## 1373 0.703 -0.079 0.867
## 1374 0.703 -0.066 0.870
## 1375 0.722 -0.136 0.878
## 1376 0.802 -0.090 0.884
## 1377 0.830 -0.134 0.866
## 1378 0.827 -0.154 0.895
## 1379 0.830 -0.178 0.906
## 1380 0.815 -0.130 0.874
## 1381 0.828 0.063 0.841
## 1382 0.852 -0.022 0.880
## 1383 0.861 0.083 0.817
## 1384 0.874 0.004 0.805
## 1385 0.893 0.033 0.812
## 1386 0.883 0.073 0.783
## 1387 0.914 0.053 0.771
## 1388 0.907 0.021 0.756
## 1389 0.902 -0.015 0.787
## 1390 0.912 -0.051 0.755
## 1391 0.908 -0.071 0.792
## 1392 0.926 -0.141 0.711
## 1393 0.918 -0.108 0.726
## 1394 0.910 -0.083 0.748
## 1395 0.932 -0.116 0.744
## 1396 0.782 NA 0.983
## 1397 0.772 -0.047 0.925
## 1398 0.821 0.073 0.898
## 1399 0.795 0.002 0.905
## 1400 0.868 -0.067 0.908
## 1401 0.811 -0.027 0.888
## 1402 0.776 -0.137 0.916
## 1403 0.875 -0.064 0.898
## 1404 0.793 -0.093 0.810
## 1405 0.871 -0.091 0.848
## 1406 0.831 -0.122 0.639
## 1407 0.870 -0.254 0.720
## 1408 0.883 -0.231 0.696
## 1409 0.767 -0.007 0.787
## 1410 0.882 -0.179 0.880
## 1411 0.646 -0.217 0.933
## 1412 0.721 -0.106 0.948
## 1413 0.875 -0.173 0.962
## 1414 0.774 -0.097 0.959
## 1415 0.788 -0.118 0.946
## 1416 0.847 -0.126 0.941
## 1417 0.800 -0.163 0.941
## 1418 0.838 -0.225 0.922
## 1419 0.905 -0.176 0.881
## 1420 0.877 -0.261 0.880
## 1421 0.882 -0.234 0.915
## 1422 0.913 -0.238 0.867
## 1423 0.865 0.235 0.184
## 1424 NA 0.104 NA
## 1425 0.905 0.012 NA
## 1426 0.924 0.162 NA
## 1427 NA NA NA
## 1428 0.800 NA 0.957
## 1429 0.686 -0.188 0.949
## 1430 0.606 -0.196 0.967
## 1431 0.566 -0.085 0.974
## 1432 0.650 -0.140 0.964
## 1433 0.645 -0.112 0.959
## 1434 0.655 -0.129 0.952
## 1435 0.754 -0.100 0.958
## 1436 0.796 -0.141 0.962
## 1437 0.822 -0.115 0.949
## 1438 0.839 -0.160 0.926
## 1439 0.845 -0.217 0.921
## 1440 0.848 -0.221 0.954
## 1441 0.643 -0.307 0.935
## 1442 0.593 -0.284 0.933
## 1443 0.643 -0.305 0.924
## 1444 0.617 -0.283 0.954
## 1445 0.613 -0.296 0.937
## 1446 0.626 -0.279 0.935
## 1447 0.609 -0.293 0.938
## 1448 0.661 -0.289 0.934
## 1449 0.744 -0.265 0.869
## 1450 0.685 -0.171 0.913
## 1451 0.714 -0.181 0.925
## 1452 0.731 -0.145 0.862
## 1453 0.729 -0.147 0.865
## 1454 0.715 -0.116 0.848
## 1455 0.714 -0.071 0.823
## 1456 0.915 NA 0.299
## 1457 0.752 0.017 0.286
## 1458 0.766 -0.001 0.410
## 1459 0.829 -0.039 0.161
## 1460 0.835 -0.012 0.081
## 1461 0.904 -0.028 0.117
## 1462 0.894 -0.023 0.078
## 1463 0.908 0.025 0.095
## 1464 0.911 0.025 0.159
## 1465 0.908 0.051 0.214
## 1466 0.924 0.057 0.164
## 1467 0.869 0.064 0.168
## 1468 NA NA 0.505
## 1469 0.622 0.005 NA
## 1470 0.532 -0.022 0.508
## 1471 0.639 -0.110 0.445
## 1472 0.678 -0.033 NA
## 1473 0.603 -0.142 NA
## 1474 0.560 -0.120 NA
## 1475 0.661 -0.081 NA
## 1476 0.762 -0.073 NA
## 1477 0.820 -0.045 NA
## 1478 0.774 -0.132 NA
## 1479 0.814 -0.131 NA
## 1480 0.855 -0.192 NA
## 1481 0.891 -0.147 NA
## 1482 0.884 -0.111 NA
## 1483 0.736 -0.051 0.805
## 1484 0.698 -0.002 0.827
## 1485 0.612 -0.030 0.879
## 1486 0.557 -0.036 0.918
## 1487 0.777 -0.077 0.851
## 1488 0.641 -0.160 0.870
## 1489 0.668 -0.036 0.852
## 1490 0.636 -0.052 0.837
## 1491 0.692 -0.045 0.700
## 1492 0.720 -0.111 0.765
## 1493 0.744 -0.086 0.794
## 1494 0.687 -0.044 0.825
## 1495 0.629 -0.074 0.805
## 1496 0.759 -0.019 0.796
## 1497 0.453 -0.165 0.905
## 1498 0.373 -0.178 0.961
## 1499 0.463 -0.170 0.965
## 1500 0.440 -0.185 0.977
## 1501 0.461 -0.130 0.952
## 1502 0.533 -0.100 0.908
## 1503 0.532 0.072 0.912
## 1504 0.546 -0.062 0.859
## 1505 0.614 -0.068 0.890
## 1506 0.685 -0.077 0.851
## 1507 0.740 -0.100 0.864
## 1508 0.753 -0.040 0.813
## 1509 0.843 0.149 0.824
## 1510 0.679 0.101 0.836
## 1511 0.720 0.248 0.830
## 1512 0.716 0.148 0.925
## 1513 0.726 0.012 0.910
## 1514 0.770 0.005 0.855
## 1515 0.720 -0.071 0.856
## 1516 0.681 0.034 0.786
## 1517 0.624 0.050 0.825
## 1518 0.681 0.106 0.863
## 1519 0.711 0.079 0.848
## 1520 0.716 0.095 0.856
## 1521 0.718 0.074 0.874
## 1522 0.757 0.138 NA
## 1523 0.867 0.293 0.064
## 1524 0.661 0.046 0.066
## 1525 0.776 -0.075 0.035
## 1526 0.846 -0.018 0.060
## 1527 0.822 -0.149 0.099
## 1528 0.827 0.115 0.242
## 1529 0.835 0.154 0.133
## 1530 0.887 0.150 0.099
## 1531 0.904 0.143 0.047
## 1532 0.926 0.136 0.162
## 1533 0.916 -0.066 0.097
## 1534 0.938 0.027 0.070
## 1535 0.542 -0.050 0.946
## 1536 0.636 -0.101 0.907
## 1537 0.727 0.010 0.907
## 1538 0.620 -0.028 0.907
## 1539 0.598 -0.051 0.915
## 1540 0.635 -0.126 0.914
## 1541 0.587 -0.128 0.928
## 1542 0.700 -0.061 0.917
## 1543 0.714 -0.055 0.920
## 1544 0.758 -0.167 0.910
## 1545 0.771 -0.129 0.926
## 1546 0.762 -0.075 0.901
## 1547 0.936 0.043 0.708
## 1548 0.896 -0.019 0.804
## 1549 0.896 0.029 0.845
## 1550 0.907 -0.025 0.893
## 1551 0.904 -0.020 0.891
## 1552 0.890 0.036 0.918
## 1553 0.888 0.052 0.909
## 1554 0.896 0.008 0.892
## 1555 0.904 -0.055 0.838
## 1556 0.921 -0.025 0.829
## 1557 0.942 -0.119 0.839
## 1558 0.945 -0.102 0.785
## 1559 0.958 -0.081 0.797
## 1560 0.874 NA 0.456
## 1561 0.968 NA 0.410
## 1562 0.917 NA 0.441
## 1563 0.746 NA 0.513
## 1564 0.820 NA 0.471
## 1565 0.858 NA 0.357
## 1566 0.758 NA 0.334
## 1567 0.649 -0.084 NA
## 1568 0.690 -0.158 0.859
## 1569 0.749 -0.095 0.866
## 1570 0.739 -0.154 0.904
## 1571 0.739 -0.202 0.791
## 1572 0.835 -0.154 0.819
## 1573 0.590 -0.163 0.838
## 1574 0.714 -0.077 0.800
## 1575 0.794 -0.117 0.820
## 1576 0.862 -0.127 0.853
## 1577 0.774 -0.070 0.813
## 1578 0.787 -0.129 0.865
## 1579 0.753 -0.050 0.841
## 1580 0.738 -0.134 0.820
## 1581 0.757 -0.015 0.912
## 1582 0.715 -0.052 0.799
## 1583 0.656 -0.059 0.803
## 1584 0.524 -0.102 0.771
## 1585 0.600 -0.096 0.787
## 1586 0.677 -0.033 0.752
## 1587 0.682 -0.048 0.827
## 1588 0.618 NA 0.844
## 1589 0.642 -0.050 0.832
## 1590 0.623 -0.043 0.834
## 1591 0.616 -0.036 0.841
## 1592 0.591 0.026 0.862
## 1593 0.538 0.014 0.851
## 1594 0.600 -0.089 0.797
## 1595 0.706 -0.055 0.718
## 1596 0.711 -0.106 0.665
## 1597 0.567 NA 0.742
## 1598 0.512 NA 0.710
## 1599 0.440 NA 0.785
## 1600 0.456 NA 0.761
## 1601 0.916 NA 0.777
## 1602 0.782 -0.093 0.784
## 1603 0.834 -0.150 0.683
## 1604 0.749 -0.127 0.798
## 1605 0.796 -0.138 0.840
## 1606 0.819 -0.122 0.846
## 1607 0.755 -0.059 0.844
## 1608 0.759 -0.101 0.916
## 1609 0.738 -0.028 0.854
## 1610 0.732 -0.072 0.822
## 1611 0.768 -0.048 0.819
## 1612 0.756 -0.032 0.791
## 1613 0.722 -0.075 0.777
## 1614 0.778 -0.049 0.730
## 1615 0.783 -0.121 0.730
## 1616 0.724 0.062 0.838
## 1617 0.736 0.110 0.847
## 1618 0.834 0.163 0.861
## 1619 0.799 0.306 0.690
## 1620 0.738 0.259 0.769
## 1621 0.823 0.145 0.760
## 1622 0.800 0.161 0.823
## 1623 0.834 0.268 0.842
## 1624 0.868 0.299 0.791
## 1625 0.902 0.319 0.859
## 1626 0.827 0.094 0.844
## 1627 0.859 0.106 0.856
## 1628 0.824 0.051 0.863
## 1629 0.710 0.077 0.701
## 1630 0.648 -0.040 0.737
## 1631 0.583 -0.024 0.663
## 1632 0.412 -0.056 0.734
## 1633 0.390 -0.063 0.794
## 1634 0.885 -0.077 0.751
## 1635 0.607 -0.067 0.917
## 1636 0.710 -0.178 0.692
## 1637 0.597 -0.191 0.724
## 1638 0.964 NA NA
## 1639 0.910 0.146 0.289
## 1640 0.912 0.125 0.314
## 1641 0.864 0.221 0.292
## 1642 0.905 0.141 0.253
## 1643 0.941 0.161 0.269
## 1644 0.944 0.132 0.254
## 1645 0.936 0.159 0.324
## 1646 0.945 0.202 0.250
## 1647 0.935 0.211 0.232
## 1648 0.918 0.146 0.246
## 1649 0.935 0.170 0.239
## 1650 0.942 0.077 0.263
## 1651 0.942 0.091 0.250
## 1652 0.951 0.091 0.203
## 1653 0.919 0.290 0.408
## 1654 0.891 0.125 0.342
## 1655 0.945 0.139 0.323
## 1656 0.949 0.060 0.283
## 1657 0.928 0.109 0.210
## 1658 0.934 0.088 0.302
## 1659 0.925 0.180 0.316
## 1660 0.926 0.101 0.301
## 1661 0.913 0.036 0.294
## 1662 0.917 -0.064 0.280
## 1663 0.661 0.122 0.680
## 1664 0.748 0.082 0.688
## 1665 0.647 0.008 0.743
## 1666 0.530 0.131 0.741
## 1667 0.467 0.316 0.673
## 1668 0.455 0.225 0.663
## 1669 0.448 0.045 0.685
## 1670 0.630 -0.030 0.846
## 1671 0.642 -0.017 0.785
## 1672 0.677 0.005 0.821
## 1673 0.761 0.035 0.755
## 1674 0.698 0.022 0.803
## 1675 0.690 0.002 0.841
## 1676 0.693 0.092 0.866
## 1677 0.701 0.019 0.857
## 1678 0.719 -0.049 0.811
## 1679 0.760 -0.070 0.743
## 1680 0.741 NA 0.736
## 1681 0.814 NA 0.718
## 1682 0.799 NA 0.711
## 1683 0.702 -0.088 0.768
## 1684 0.818 0.000 0.659
## 1685 0.816 0.018 0.723
## 1686 0.744 0.001 0.792
## 1687 0.784 0.062 0.679
## 1688 0.776 -0.119 0.672
## 1689 0.749 -0.073 0.717
## 1690 0.693 0.063 0.764
## 1691 0.853 0.002 0.698
## 1692 0.847 0.022 0.742
## 1693 0.703 0.010 0.632
## 1694 0.832 0.124 0.718
## 1695 NA -0.065 0.578
## 1696 NA -0.045 0.490
## 1697 NA -0.040 0.550
## 1698 0.787 -0.027 0.649
## 1699 0.716 -0.013 0.707
## 1700 0.562 0.256 0.930
## 1701 0.607 0.308 0.903
## 1702 0.597 0.139 0.866
## 1703 0.736 -0.046 0.816
## 1704 0.577 0.213 0.887
## 1705 0.654 0.054 0.859
## 1706 0.654 0.110 0.878
## 1707 0.759 0.149 0.906
## 1708 0.775 0.179 0.739
## 1709 0.800 0.116 0.654
## 1710 0.807 0.153 0.612
## 1711 0.850 0.100 0.589
## 1712 0.830 0.295 0.521
## 1713 0.863 0.331 0.935
## 1714 0.870 0.391 0.898
## 1715 0.868 0.425 0.933
## 1716 0.868 0.525 0.904
## 1717 0.860 0.536 0.917
## 1718 0.927 0.400 0.923
## 1719 0.847 0.380 0.909
## 1720 0.781 0.456 0.925
## 1721 0.900 0.553 0.920
## 1722 0.885 0.316 0.914
## 1723 0.924 0.356 0.878
## 1724 0.923 0.212 0.884
## 1725 0.905 0.259 0.907
## 1726 0.898 0.309 0.877
## 1727 0.840 0.273 0.918
## 1728 0.628 -0.007 0.850
## 1729 0.287 -0.055 0.932
## 1730 0.584 -0.070 0.832
## 1731 0.663 -0.085 0.795
## 1732 0.772 -0.069 0.733
## 1733 0.730 -0.007 0.815
## 1734 0.717 -0.042 0.726
## 1735 0.612 -0.007 0.809
## 1736 0.617 0.065 0.737
## 1737 0.840 0.141 0.917
## 1738 0.838 0.087 0.959
## 1739 0.775 0.078 0.900
## 1740 0.847 0.128 0.948
## 1741 0.859 0.015 0.911
## 1742 0.781 -0.119 0.722
## 1743 0.624 -0.135 0.732
## 1744 0.603 -0.199 0.913
## 1745 0.568 -0.176 0.899
## 1746 0.536 -0.207 0.886
## 1747 0.589 -0.232 0.783
## 1748 0.711 -0.226 0.815
## 1749 0.614 -0.165 0.811
## 1750 0.478 -0.219 0.869
## 1751 0.650 -0.191 0.840
## 1752 0.659 -0.209 0.889
## 1753 0.668 -0.202 0.877
## 1754 0.623 NA 0.877
## 1755 0.459 -0.178 0.800
## 1756 0.415 -0.189 0.785
## 1757 0.456 -0.227 0.853
## 1758 0.515 -0.187 0.811
## 1759 0.446 -0.242 0.649
## 1760 0.471 -0.216 0.702
## 1761 0.541 -0.229 0.698
## 1762 0.649 -0.024 0.764
## 1763 0.653 -0.016 0.806
## 1764 0.644 -0.065 0.764
## 1765 0.644 -0.237 0.671
## 1766 0.529 -0.176 0.805
## 1767 0.631 -0.136 0.760
## 1768 0.510 -0.111 0.774
## 1769 NA -0.102 NA
## 1770 NA 0.018 NA
## 1771 0.786 -0.123 NA
## 1772 0.705 -0.071 NA
## 1773 0.805 0.032 NA
## 1774 0.701 0.093 NA
## 1775 0.749 0.005 NA
## 1776 0.720 0.066 NA
## 1777 0.858 0.260 NA
## 1778 0.892 0.285 NA
## 1779 0.747 -0.041 0.807
## 1780 0.708 -0.001 0.881
## 1781 0.578 -0.055 0.848
## 1782 0.760 -0.037 0.840
## 1783 0.801 -0.015 0.855
## 1784 0.733 0.032 0.830
## 1785 0.649 0.081 0.838
## 1786 0.763 0.053 0.820
## 1787 0.834 0.009 0.898
## 1788 0.758 0.135 0.873
## 1789 0.739 0.132 0.811
## 1790 0.772 0.060 0.816
## 1791 0.729 0.079 0.856
## 1792 0.704 0.139 0.826
## 1793 0.687 0.147 0.878
## 1794 0.624 -0.257 0.929
## 1795 0.494 -0.241 0.968
## 1796 0.487 -0.265 0.929
## 1797 0.460 -0.241 0.962
## 1798 0.484 -0.189 0.954
## 1799 0.579 -0.228 0.933
## 1800 0.564 -0.223 0.896
## 1801 0.569 -0.216 0.937
## 1802 0.533 0.084 0.927
## 1803 0.431 -0.033 0.952
## 1804 0.503 0.011 0.891
## 1805 0.599 -0.002 0.937
## 1806 0.663 -0.074 0.943
## 1807 0.715 -0.081 0.885
## 1808 0.784 0.126 0.946
## 1809 0.898 -0.033 0.203
## 1810 0.849 0.019 0.339
## 1811 0.878 0.057 0.355
## 1812 0.889 0.071 NA
## 1813 0.920 NA NA
## 1814 0.936 NA NA
## 1815 NA NA NA
## 1816 0.915 0.201 NA
## 1817 0.949 0.131 NA
## 1818 0.962 0.216 NA
## 1819 0.944 0.054 NA
## 1820 0.911 0.129 NA
## 1821 0.942 0.060 NA
## 1822 0.922 NA 0.398
## 1823 0.838 0.336 0.498
## 1824 0.759 0.331 0.548
## 1825 0.816 0.341 0.559
## 1826 0.841 0.403 0.587
## 1827 0.900 0.336 0.438
## 1828 0.889 0.371 0.425
## 1829 0.905 0.346 0.568
## 1830 0.857 0.355 0.484
## 1831 0.833 0.300 0.456
## 1832 0.821 0.250 0.458
## 1833 0.813 0.291 0.419
## 1834 0.838 0.226 0.404
## 1835 0.854 0.271 0.485
## 1836 0.885 0.203 0.490
## 1837 0.911 NA 0.600
## 1838 0.872 0.197 0.633
## 1839 0.878 0.255 0.668
## 1840 0.831 0.201 0.665
## 1841 0.828 0.244 0.690
## 1842 0.863 0.161 0.697
## 1843 0.823 0.215 0.710
## 1844 0.792 0.274 0.747
## 1845 0.866 0.221 0.702
## 1846 0.849 0.219 0.698
## 1847 0.758 0.144 0.739
## 1848 0.868 0.197 0.681
## 1849 0.825 0.116 0.710
## 1850 0.836 0.144 0.707
## 1851 0.850 0.034 0.678
## 1852 0.807 -0.113 0.477
## 1853 0.786 -0.165 0.614
## 1854 0.808 -0.143 0.597
## 1855 0.825 -0.118 0.544
## 1856 0.832 -0.158 0.471
## 1857 0.851 -0.080 0.556
## 1858 0.871 0.067 0.615
## 1859 0.888 -0.043 0.586
## 1860 0.904 -0.073 0.533
## 1861 0.917 -0.032 0.673
## 1862 0.886 -0.072 0.676
## 1863 0.898 -0.091 0.627
## 1864 0.876 -0.097 0.683
## 1865 0.903 -0.095 0.599
## 1866 0.908 -0.084 0.491
## 1867 0.784 -0.115 0.609
## 1868 0.831 -0.023 NA
## 1869 NA 0.013 0.610
## 1870 NA -0.030 0.519
## 1871 0.934 0.042 0.522
## 1872 0.914 -0.037 0.463
## 1873 0.950 -0.034 0.434
## 1874 0.954 0.061 0.536
## 1875 0.980 0.375 0.471
## 1876 0.984 0.208 NA
## 1877 0.985 0.123 0.465
## 1878 0.970 0.318 0.520
## 1879 0.970 0.304 0.511
## 1880 0.838 NA 0.720
## 1881 0.798 -0.031 0.646
## 1882 0.678 -0.225 0.776
## 1883 0.677 -0.116 0.828
## 1884 0.768 -0.155 0.754
## 1885 0.766 -0.226 0.772
## 1886 0.804 -0.193 0.743
## 1887 0.642 -0.220 0.837
## 1888 0.570 -0.199 0.827
## 1889 0.512 -0.117 0.813
## 1890 0.458 -0.155 0.890
## 1891 0.636 -0.169 0.844
## 1892 0.611 NA 0.828
## 1893 0.626 NA 0.839
## 1894 0.612 NA 0.811
## 1895 0.886 0.015 NA
## 1896 0.918 0.089 0.754
## 1897 0.889 0.201 0.789
## 1898 0.834 -0.062 0.838
## 1899 0.831 -0.006 0.743
## 1900 0.818 0.105 0.742
## 1901 0.856 -0.110 0.815
## 1902 0.920 -0.027 0.771
## 1903 NA 0.000 NA
## 1904 NA 0.086 NA
## 1905 0.894 -0.090 0.799
## 1906 NA NA NA
## 1907 0.909 -0.041 0.808
## 1908 0.952 -0.126 0.788
## 1909 0.673 0.011 NA
## 1910 0.644 -0.052 0.832
## 1911 0.659 -0.104 0.853
## 1912 0.638 -0.173 0.754
## 1913 0.706 -0.171 0.793
## 1914 0.543 -0.179 0.885
## 1915 0.664 -0.157 0.885
## 1916 0.610 -0.139 0.829
## 1917 0.533 -0.151 NA
## 1918 0.595 -0.147 NA
## 1919 0.553 NA 0.793
## 1920 0.651 NA 0.798
## 1921 0.721 -0.006 0.785
## 1922 0.682 -0.067 0.948
## 1923 0.717 0.056 0.890
## 1924 0.696 -0.096 0.917
## 1925 0.663 0.003 0.882
## 1926 0.788 0.008 0.806
## 1927 0.770 -0.104 0.732
## 1928 0.812 -0.011 0.809
## 1929 0.759 -0.039 0.871
## 1930 0.812 0.122 0.771
## 1931 0.823 0.140 0.740
## 1932 0.791 0.048 0.811
## 1933 0.811 0.077 0.832
## 1934 0.750 0.056 0.810
## 1935 0.431 -0.076 0.905
## 1936 0.456 -0.082 0.946
## 1937 0.344 -0.090 0.964
## 1938 0.411 -0.078 0.931
## 1939 0.665 -0.093 0.828
## 1940 0.633 -0.088 0.830
## 1941 0.470 -0.103 0.859
## 1942 0.576 -0.104 0.831
## 1943 0.642 -0.074 0.820
## 1944 0.667 -0.123 0.810
## 1945 0.733 -0.095 0.724
## 1946 0.753 -0.098 0.751
## 1947 0.763 -0.068 0.844
## 1948 0.632 -0.064 0.831
## 1949 0.643 -0.009 0.789
## Negative.affect
## 1 0.258
## 2 0.237
## 3 0.275
## 4 0.267
## 5 0.268
## 6 0.273
## 7 0.375
## 8 0.339
## 9 0.348
## 10 0.371
## 11 0.405
## 12 0.502
## 13 0.246
## 14 0.279
## 15 0.300
## 16 0.257
## 17 0.271
## 18 0.338
## 19 0.335
## 20 0.350
## 21 0.322
## 22 0.334
## 23 0.319
## 24 0.274
## 25 0.265
## 26 NA
## 27 0.255
## 28 0.230
## 29 0.177
## 30 0.377
## 31 0.289
## 32 0.293
## 33 0.215
## 34 0.361
## 35 0.305
## 36 0.371
## 37 0.368
## 38 0.328
## 39 0.279
## 40 0.318
## 41 0.237
## 42 0.211
## 43 0.232
## 44 0.272
## 45 0.254
## 46 0.238
## 47 0.305
## 48 0.312
## 49 0.292
## 50 0.321
## 51 0.319
## 52 0.342
## 53 0.469
## 54 0.412
## 55 0.385
## 56 0.411
## 57 0.426
## 58 0.459
## 59 0.464
## 60 0.450
## 61 0.404
## 62 0.438
## 63 0.437
## 64 0.437
## 65 0.455
## 66 0.430
## 67 0.238
## 68 0.215
## 69 0.218
## 70 0.220
## 71 0.195
## 72 0.214
## 73 0.177
## 74 0.245
## 75 0.210
## 76 0.236
## 77 0.225
## 78 0.187
## 79 0.202
## 80 0.205
## 81 0.174
## 82 0.173
## 83 0.156
## 84 0.145
## 85 0.157
## 86 0.163
## 87 0.170
## 88 0.164
## 89 0.197
## 90 0.180
## 91 0.226
## 92 0.205
## 93 0.206
## 94 0.276
## 95 0.284
## 96 0.227
## 97 0.234
## 98 0.272
## 99 0.258
## 100 0.266
## 101 0.242
## 102 0.220
## 103 0.206
## 104 0.191
## 105 0.198
## 106 0.191
## 107 0.164
## 108 0.422
## 109 0.423
## 110 0.514
## 111 0.381
## 112 0.306
## 113 NA
## 114 0.303
## 115 0.283
## 116 0.290
## 117 0.317
## 118 0.297
## 119 0.321
## 120 0.313
## 121 0.232
## 122 0.223
## 123 0.292
## 124 0.235
## 125 0.183
## 126 0.246
## 127 0.231
## 128 0.226
## 129 0.235
## 130 0.214
## 131 0.361
## 132 0.369
## 133 0.332
## 134 0.269
## 135 0.235
## 136 0.246
## 137 0.223
## 138 0.208
## 139 0.249
## 140 0.181
## 141 0.206
## 142 0.209
## 143 0.184
## 144 0.182
## 145 0.233
## 146 0.236
## 147 0.190
## 148 0.260
## 149 0.218
## 150 0.242
## 151 0.240
## 152 0.225
## 153 0.238
## 154 0.217
## 155 0.252
## 156 0.240
## 157 0.260
## 158 0.234
## 159 0.250
## 160 0.244
## 161 0.260
## 162 0.251
## 163 0.282
## 164 0.309
## 165 0.303
## 166 0.219
## 167 0.231
## 168 0.216
## 169 0.273
## 170 0.373
## 171 0.456
## 172 0.458
## 173 0.468
## 174 0.441
## 175 0.305
## 176 0.217
## 177 0.324
## 178 0.312
## 179 0.432
## 180 0.388
## 181 0.392
## 182 0.372
## 183 0.350
## 184 0.361
## 185 0.409
## 186 0.410
## 187 0.398
## 188 0.393
## 189 0.376
## 190 0.434
## 191 0.387
## 192 0.419
## 193 0.382
## 194 0.296
## 195 0.390
## 196 0.409
## 197 0.326
## 198 0.338
## 199 0.315
## 200 0.262
## 201 0.286
## 202 0.304
## 203 0.271
## 204 0.277
## 205 0.238
## 206 0.325
## 207 0.226
## 208 0.218
## 209 0.172
## 210 0.160
## 211 0.171
## 212 0.244
## 213 0.245
## 214 0.261
## 215 0.252
## 216 0.276
## 217 0.267
## 218 0.273
## 219 0.302
## 220 0.299
## 221 0.265
## 222 0.274
## 223 0.250
## 224 0.268
## 225 0.350
## 226 0.276
## 227 0.274
## 228 0.325
## 229 0.302
## 230 0.308
## 231 0.350
## 232 0.337
## 233 0.389
## 234 0.226
## 235 0.238
## 236 0.271
## 237 0.237
## 238 0.278
## 239 0.236
## 240 0.214
## 241 0.172
## 242 0.189
## 243 0.189
## 244 0.200
## 245 0.221
## 246 0.266
## 247 0.281
## 248 0.304
## 249 0.217
## 250 0.205
## 251 0.300
## 252 0.287
## 253 0.256
## 254 0.359
## 255 0.337
## 256 0.354
## 257 0.343
## 258 0.365
## 259 0.253
## 260 0.164
## 261 0.190
## 262 0.251
## 263 0.363
## 264 0.341
## 265 0.320
## 266 0.335
## 267 0.188
## 268 0.422
## 269 0.308
## 270 0.352
## 271 0.440
## 272 0.482
## 273 0.399
## 274 0.398
## 275 0.408
## 276 0.414
## 277 0.390
## 278 0.390
## 279 0.271
## 280 0.249
## 281 0.312
## 282 0.250
## 283 0.274
## 284 0.272
## 285 0.284
## 286 0.268
## 287 0.216
## 288 0.346
## 289 0.367
## 290 0.377
## 291 0.356
## 292 0.326
## 293 0.386
## 294 0.233
## 295 0.257
## 296 0.202
## 297 0.248
## 298 0.233
## 299 0.248
## 300 0.229
## 301 0.263
## 302 0.259
## 303 0.286
## 304 0.237
## 305 0.218
## 306 0.259
## 307 0.285
## 308 0.307
## 309 0.330
## 310 0.257
## 311 0.277
## 312 0.494
## 313 0.599
## 314 0.263
## 315 0.245
## 316 0.225
## 317 0.221
## 318 0.287
## 319 0.289
## 320 0.316
## 321 0.314
## 322 0.329
## 323 0.358
## 324 0.468
## 325 0.538
## 326 0.544
## 327 0.460
## 328 0.348
## 329 0.342
## 330 0.330
## 331 0.300
## 332 0.300
## 333 0.317
## 334 0.288
## 335 0.285
## 336 0.276
## 337 0.333
## 338 0.283
## 339 0.291
## 340 0.276
## 341 0.337
## 342 0.336
## 343 0.170
## 344 0.159
## 345 0.147
## 346 0.162
## 347 0.158
## 348 0.134
## 349 0.159
## 350 0.142
## 351 0.112
## 352 0.171
## 353 0.146
## 354 0.214
## 355 0.190
## 356 0.147
## 357 0.245
## 358 0.326
## 359 0.287
## 360 0.307
## 361 0.273
## 362 0.265
## 363 0.286
## 364 0.294
## 365 0.278
## 366 0.278
## 367 0.292
## 368 0.294
## 369 0.299
## 370 0.301
## 371 0.322
## 372 0.340
## 373 0.167
## 374 0.178
## 375 0.173
## 376 0.212
## 377 0.337
## 378 0.336
## 379 0.298
## 380 0.288
## 381 0.323
## 382 0.291
## 383 0.400
## 384 0.261
## 385 0.304
## 386 0.382
## 387 0.448
## 388 0.405
## 389 0.283
## 390 0.208
## 391 0.230
## 392 0.187
## 393 0.305
## 394 0.301
## 395 0.222
## 396 0.404
## 397 0.236
## 398 0.240
## 399 0.233
## 400 0.217
## 401 0.221
## 402 0.269
## 403 0.263
## 404 0.278
## 405 0.290
## 406 0.286
## 407 0.281
## 408 0.275
## 409 0.326
## 410 0.303
## 411 0.337
## 412 0.272
## 413 0.259
## 414 0.273
## 415 0.271
## 416 0.285
## 417 0.286
## 418 0.294
## 419 0.337
## 420 0.316
## 421 0.290
## 422 0.269
## 423 0.286
## 424 0.277
## 425 0.253
## 426 0.329
## 427 0.296
## 428 0.272
## 429 0.369
## 430 0.420
## 431 0.397
## 432 0.383
## 433 0.336
## 434 0.301
## 435 0.298
## 436 0.290
## 437 0.284
## 438 0.258
## 439 0.277
## 440 0.244
## 441 0.253
## 442 0.257
## 443 0.253
## 444 0.235
## 445 0.206
## 446 0.201
## 447 0.227
## 448 0.178
## 449 0.290
## 450 0.154
## 451 0.194
## 452 0.163
## 453 0.234
## 454 0.155
## 455 0.175
## 456 0.209
## 457 0.195
## 458 0.233
## 459 0.218
## 460 0.208
## 461 0.206
## 462 0.206
## 463 0.181
## 464 0.227
## 465 0.120
## 466 0.232
## 467 NA
## 468 0.181
## 469 0.274
## 470 0.260
## 471 0.329
## 472 0.280
## 473 0.282
## 474 0.300
## 475 0.297
## 476 0.295
## 477 0.300
## 478 0.295
## 479 0.278
## 480 0.275
## 481 0.291
## 482 0.264
## 483 0.314
## 484 0.357
## 485 0.286
## 486 0.283
## 487 0.256
## 488 0.220
## 489 0.271
## 490 0.333
## 491 0.267
## 492 0.306
## 493 0.323
## 494 0.365
## 495 0.314
## 496 0.328
## 497 0.374
## 498 0.416
## 499 0.346
## 500 0.355
## 501 0.301
## 502 0.339
## 503 0.276
## 504 0.353
## 505 0.398
## 506 0.483
## 507 0.327
## 508 0.344
## 509 0.370
## 510 0.414
## 511 0.285
## 512 0.313
## 513 0.442
## 514 0.233
## 515 0.220
## 516 0.232
## 517 0.243
## 518 0.302
## 519 0.336
## 520 0.365
## 521 0.317
## 522 0.330
## 523 0.333
## 524 0.346
## 525 0.268
## 526 0.270
## 527 0.271
## 528 0.329
## 529 0.215
## 530 0.176
## 531 0.218
## 532 0.243
## 533 0.205
## 534 0.199
## 535 0.199
## 536 0.203
## 537 0.183
## 538 0.177
## 539 0.160
## 540 0.163
## 541 0.156
## 542 0.188
## 543 0.137
## 544 0.213
## 545 0.303
## 546 0.237
## 547 0.254
## 548 0.304
## 549 0.272
## 550 0.283
## 551 0.252
## 552 0.172
## 553 0.144
## 554 0.202
## 555 0.205
## 556 0.202
## 557 0.195
## 558 0.199
## 559 0.191
## 560 0.182
## 561 0.176
## 562 0.182
## 563 0.181
## 564 0.193
## 565 0.225
## 566 0.289
## 567 0.281
## 568 0.303
## 569 0.261
## 570 0.281
## 571 0.253
## 572 0.205
## 573 0.216
## 574 0.215
## 575 0.270
## 576 0.242
## 577 0.282
## 578 0.250
## 579 0.231
## 580 0.264
## 581 0.266
## 582 0.287
## 583 0.293
## 584 0.372
## 585 0.432
## 586 0.446
## 587 0.418
## 588 0.413
## 589 0.277
## 590 0.379
## 591 0.401
## 592 0.269
## 593 0.236
## 594 0.262
## 595 0.242
## 596 0.243
## 597 0.247
## 598 0.250
## 599 0.200
## 600 0.204
## 601 0.233
## 602 0.223
## 603 0.210
## 604 0.244
## 605 0.244
## 606 0.295
## 607 0.197
## 608 0.231
## 609 0.220
## 610 0.206
## 611 0.182
## 612 0.165
## 613 0.170
## 614 0.205
## 615 0.188
## 616 0.203
## 617 0.187
## 618 0.196
## 619 0.243
## 620 0.226
## 621 0.206
## 622 0.198
## 623 0.217
## 624 0.172
## 625 0.198
## 626 0.184
## 627 0.209
## 628 0.152
## 629 0.211
## 630 0.280
## 631 0.265
## 632 0.305
## 633 0.248
## 634 0.250
## 635 0.270
## 636 0.253
## 637 0.264
## 638 0.222
## 639 0.254
## 640 0.292
## 641 0.323
## 642 0.352
## 643 0.482
## 644 0.385
## 645 0.277
## 646 0.336
## 647 0.333
## 648 0.255
## 649 0.236
## 650 0.322
## 651 0.287
## 652 0.224
## 653 0.234
## 654 0.240
## 655 0.236
## 656 0.289
## 657 0.349
## 658 0.333
## 659 0.305
## 660 0.311
## 661 0.321
## 662 0.308
## 663 0.262
## 664 0.311
## 665 0.260
## 666 0.285
## 667 0.348
## 668 0.351
## 669 0.268
## 670 0.374
## 671 0.422
## 672 0.440
## 673 0.473
## 674 0.296
## 675 0.332
## 676 0.256
## 677 0.293
## 678 0.245
## 679 0.284
## 680 0.327
## 681 0.327
## 682 0.333
## 683 0.367
## 684 0.322
## 685 0.359
## 686 0.155
## 687 0.199
## 688 0.206
## 689 0.261
## 690 0.260
## 691 0.307
## 692 0.294
## 693 0.283
## 694 0.299
## 695 0.311
## 696 0.297
## 697 0.248
## 698 0.287
## 699 0.279
## 700 0.236
## 701 0.237
## 702 0.210
## 703 0.183
## 704 0.196
## 705 0.183
## 706 0.243
## 707 0.213
## 708 0.201
## 709 0.358
## 710 0.210
## 711 0.290
## 712 0.230
## 713 0.228
## 714 0.235
## 715 0.305
## 716 0.315
## 717 0.307
## 718 0.238
## 719 0.245
## 720 0.243
## 721 0.181
## 722 0.201
## 723 0.180
## 724 0.240
## 725 0.153
## 726 0.157
## 727 0.156
## 728 0.180
## 729 0.158
## 730 0.148
## 731 0.178
## 732 0.172
## 733 0.199
## 734 0.253
## 735 0.259
## 736 0.301
## 737 0.267
## 738 0.232
## 739 0.295
## 740 0.330
## 741 0.285
## 742 0.322
## 743 0.346
## 744 0.318
## 745 0.357
## 746 0.466
## 747 0.383
## 748 0.266
## 749 0.242
## 750 0.239
## 751 0.193
## 752 0.218
## 753 0.273
## 754 0.229
## 755 0.249
## 756 0.242
## 757 0.274
## 758 0.342
## 759 0.319
## 760 0.296
## 761 0.302
## 762 0.456
## 763 0.361
## 764 0.345
## 765 0.359
## 766 0.525
## 767 0.552
## 768 0.512
## 769 0.520
## 770 0.526
## 771 0.439
## 772 0.493
## 773 0.449
## 774 0.470
## 775 0.448
## 776 0.404
## 777 0.431
## 778 0.557
## 779 0.449
## 780 0.554
## 781 0.564
## 782 0.581
## 783 0.570
## 784 0.591
## 785 0.482
## 786 0.532
## 787 0.209
## 788 0.148
## 789 0.233
## 790 0.201
## 791 0.190
## 792 0.237
## 793 0.245
## 794 0.229
## 795 0.225
## 796 0.211
## 797 0.213
## 798 0.213
## 799 0.223
## 800 0.246
## 801 0.308
## 802 0.320
## 803 0.349
## 804 0.327
## 805 0.362
## 806 0.384
## 807 0.319
## 808 0.409
## 809 0.271
## 810 0.256
## 811 0.263
## 812 0.276
## 813 0.282
## 814 0.266
## 815 0.243
## 816 0.295
## 817 0.303
## 818 0.268
## 819 0.279
## 820 0.236
## 821 0.266
## 822 0.388
## 823 0.357
## 824 0.356
## 825 0.329
## 826 0.339
## 827 0.323
## 828 0.403
## 829 0.328
## 830 0.311
## 831 0.186
## 832 0.306
## 833 0.291
## 834 0.347
## 835 0.378
## 836 0.357
## 837 0.386
## 838 0.425
## 839 0.340
## 840 0.201
## 841 0.237
## 842 0.312
## 843 0.310
## 844 0.243
## 845 0.195
## 846 0.153
## 847 0.207
## 848 0.191
## 849 0.169
## 850 0.188
## 851 0.181
## 852 0.171
## 853 0.175
## 854 0.189
## 855 0.176
## 856 0.192
## 857 0.176
## 858 0.185
## 859 0.194
## 860 0.186
## 861 0.240
## 862 0.240
## 863 0.331
## 864 0.265
## 865 0.343
## 866 0.260
## 867 0.345
## 868 0.286
## 869 0.313
## 870 0.305
## 871 0.312
## 872 0.392
## 873 NA
## 874 NA
## 875 NA
## 876 0.185
## 877 0.179
## 878 0.160
## 879 0.129
## 880 0.149
## 881 0.154
## 882 0.184
## 883 0.164
## 884 0.169
## 885 0.174
## 886 0.155
## 887 0.171
## 888 0.162
## 889 0.139
## 890 0.150
## 891 0.198
## 892 0.162
## 893 0.149
## 894 0.183
## 895 0.123
## 896 0.228
## 897 0.194
## 898 0.161
## 899 0.221
## 900 0.172
## 901 0.226
## 902 0.230
## 903 0.237
## 904 0.251
## 905 0.297
## 906 0.237
## 907 0.318
## 908 0.169
## 909 0.118
## 910 0.124
## 911 0.100
## 912 0.203
## 913 0.206
## 914 0.180
## 915 0.150
## 916 0.186
## 917 0.170
## 918 0.141
## 919 0.201
## 920 0.182
## 921 0.252
## 922 0.203
## 923 0.177
## 924 0.095
## 925 0.283
## 926 NA
## 927 0.324
## 928 0.315
## 929 0.307
## 930 0.303
## 931 0.159
## 932 0.130
## 933 0.147
## 934 0.165
## 935 0.123
## 936 0.151
## 937 0.182
## 938 0.135
## 939 0.185
## 940 0.173
## 941 0.126
## 942 0.160
## 943 0.203
## 944 0.207
## 945 0.258
## 946 0.163
## 947 0.136
## 948 0.202
## 949 0.225
## 950 0.387
## 951 0.344
## 952 0.332
## 953 0.306
## 954 0.358
## 955 0.234
## 956 0.247
## 957 0.215
## 958 0.242
## 959 0.222
## 960 0.232
## 961 0.227
## 962 0.226
## 963 0.228
## 964 0.231
## 965 0.232
## 966 0.192
## 967 0.212
## 968 0.202
## 969 0.292
## 970 0.320
## 971 0.365
## 972 0.401
## 973 0.341
## 974 0.320
## 975 0.339
## 976 0.409
## 977 0.267
## 978 0.243
## 979 0.263
## 980 0.244
## 981 0.271
## 982 0.494
## 983 0.170
## 984 0.270
## 985 0.255
## 986 0.273
## 987 0.435
## 988 0.261
## 989 0.217
## 990 0.443
## 991 0.388
## 992 0.509
## 993 0.391
## 994 0.436
## 995 0.389
## 996 0.316
## 997 0.369
## 998 0.383
## 999 0.379
## 1000 0.399
## 1001 0.401
## 1002 0.254
## 1003 0.279
## 1004 0.276
## 1005 0.271
## 1006 0.272
## 1007 0.275
## 1008 0.277
## 1009 0.294
## 1010 0.287
## 1011 0.276
## 1012 0.250
## 1013 0.195
## 1014 0.214
## 1015 0.276
## 1016 0.202
## 1017 0.238
## 1018 0.216
## 1019 0.200
## 1020 0.227
## 1021 0.185
## 1022 0.170
## 1023 0.193
## 1024 0.192
## 1025 0.184
## 1026 0.202
## 1027 0.212
## 1028 0.161
## 1029 0.215
## 1030 0.235
## 1031 0.194
## 1032 0.241
## 1033 0.192
## 1034 0.226
## 1035 0.204
## 1036 0.375
## 1037 0.362
## 1038 0.304
## 1039 0.222
## 1040 0.176
## 1041 0.130
## 1042 0.268
## 1043 0.200
## 1044 0.248
## 1045 0.263
## 1046 0.260
## 1047 0.325
## 1048 0.312
## 1049 0.365
## 1050 0.348
## 1051 0.243
## 1052 0.162
## 1053 0.186
## 1054 0.164
## 1055 0.192
## 1056 0.155
## 1057 0.177
## 1058 0.317
## 1059 0.261
## 1060 0.314
## 1061 0.200
## 1062 0.176
## 1063 NA
## 1064 0.209
## 1065 0.164
## 1066 0.150
## 1067 0.162
## 1068 0.132
## 1069 0.109
## 1070 0.193
## 1071 0.186
## 1072 0.243
## 1073 0.305
## 1074 0.393
## 1075 0.370
## 1076 0.358
## 1077 0.358
## 1078 0.375
## 1079 0.340
## 1080 0.391
## 1081 0.370
## 1082 0.352
## 1083 0.355
## 1084 0.355
## 1085 0.302
## 1086 0.296
## 1087 0.356
## 1088 0.411
## 1089 0.174
## 1090 0.176
## 1091 0.170
## 1092 0.129
## 1093 0.175
## 1094 0.164
## 1095 0.196
## 1096 0.163
## 1097 0.194
## 1098 0.222
## 1099 0.272
## 1100 0.276
## 1101 0.260
## 1102 0.253
## 1103 0.222
## 1104 0.246
## 1105 0.169
## 1106 0.158
## 1107 0.149
## 1108 0.138
## 1109 0.219
## 1110 0.248
## 1111 0.201
## 1112 0.196
## 1113 0.215
## 1114 0.228
## 1115 0.278
## 1116 0.223
## 1117 0.229
## 1118 0.237
## 1119 0.220
## 1120 0.231
## 1121 0.213
## 1122 0.252
## 1123 0.292
## 1124 0.255
## 1125 0.306
## 1126 0.284
## 1127 0.306
## 1128 0.278
## 1129 0.285
## 1130 0.314
## 1131 0.261
## 1132 0.260
## 1133 0.281
## 1134 0.275
## 1135 0.259
## 1136 0.270
## 1137 0.262
## 1138 0.268
## 1139 0.203
## 1140 0.173
## 1141 0.150
## 1142 0.153
## 1143 0.181
## 1144 0.179
## 1145 0.170
## 1146 0.208
## 1147 0.171
## 1148 0.214
## 1149 0.192
## 1150 0.167
## 1151 0.260
## 1152 0.340
## 1153 0.423
## 1154 0.410
## 1155 0.378
## 1156 0.379
## 1157 0.331
## 1158 0.368
## 1159 0.337
## 1160 0.337
## 1161 0.350
## 1162 0.355
## 1163 0.366
## 1164 0.411
## 1165 NA
## 1166 0.187
## 1167 0.281
## 1168 0.239
## 1169 0.262
## 1170 0.205
## 1171 0.323
## 1172 0.416
## 1173 0.410
## 1174 0.256
## 1175 0.327
## 1176 0.240
## 1177 0.280
## 1178 0.243
## 1179 0.340
## 1180 0.353
## 1181 0.397
## 1182 0.384
## 1183 0.205
## 1184 0.217
## 1185 0.112
## 1186 0.272
## 1187 0.302
## 1188 0.282
## 1189 0.300
## 1190 0.286
## 1191 0.289
## 1192 0.160
## 1193 0.239
## 1194 0.277
## 1195 0.240
## 1196 0.256
## 1197 0.248
## 1198 0.171
## 1199 0.152
## 1200 0.153
## 1201 0.215
## 1202 0.226
## 1203 0.207
## 1204 0.231
## 1205 0.279
## 1206 0.287
## 1207 0.358
## 1208 0.370
## 1209 0.376
## 1210 0.387
## 1211 0.357
## 1212 0.233
## 1213 0.213
## 1214 0.182
## 1215 0.206
## 1216 0.181
## 1217 0.226
## 1218 0.235
## 1219 0.221
## 1220 0.202
## 1221 0.215
## 1222 0.185
## 1223 0.205
## 1224 0.231
## 1225 0.247
## 1226 0.219
## 1227 0.238
## 1228 0.232
## 1229 0.235
## 1230 0.210
## 1231 0.207
## 1232 0.151
## 1233 0.199
## 1234 0.160
## 1235 0.207
## 1236 0.172
## 1237 0.168
## 1238 0.191
## 1239 0.209
## 1240 0.294
## 1241 0.287
## 1242 0.289
## 1243 0.299
## 1244 0.268
## 1245 0.309
## 1246 0.255
## 1247 0.271
## 1248 0.334
## 1249 0.346
## 1250 0.380
## 1251 0.308
## 1252 0.408
## 1253 0.337
## 1254 0.179
## 1255 0.158
## 1256 0.194
## 1257 0.115
## 1258 0.126
## 1259 0.166
## 1260 0.142
## 1261 0.208
## 1262 0.205
## 1263 0.218
## 1264 0.325
## 1265 0.427
## 1266 0.503
## 1267 0.304
## 1268 0.178
## 1269 0.141
## 1270 0.244
## 1271 0.225
## 1272 0.190
## 1273 0.209
## 1274 0.286
## 1275 0.251
## 1276 0.252
## 1277 0.236
## 1278 0.256
## 1279 0.245
## 1280 0.316
## 1281 0.405
## 1282 0.443
## 1283 0.311
## 1284 0.319
## 1285 0.346
## 1286 0.262
## 1287 0.296
## 1288 0.251
## 1289 0.370
## 1290 0.314
## 1291 0.363
## 1292 0.422
## 1293 0.331
## 1294 0.307
## 1295 0.299
## 1296 0.292
## 1297 0.299
## 1298 0.298
## 1299 0.304
## 1300 0.365
## 1301 0.197
## 1302 0.155
## 1303 0.213
## 1304 0.194
## 1305 0.209
## 1306 0.209
## 1307 0.203
## 1308 0.212
## 1309 0.195
## 1310 0.216
## 1311 0.295
## 1312 0.237
## 1313 0.310
## 1314 0.321
## 1315 0.349
## 1316 0.372
## 1317 0.358
## 1318 0.332
## 1319 0.274
## 1320 0.295
## 1321 0.329
## 1322 0.332
## 1323 0.308
## 1324 0.377
## 1325 0.424
## 1326 0.431
## 1327 0.412
## 1328 0.403
## 1329 0.466
## 1330 0.381
## 1331 0.388
## 1332 0.379
## 1333 0.365
## 1334 0.380
## 1335 0.369
## 1336 0.378
## 1337 0.416
## 1338 0.419
## 1339 0.400
## 1340 0.232
## 1341 0.149
## 1342 0.150
## 1343 0.144
## 1344 0.146
## 1345 0.180
## 1346 0.207
## 1347 0.226
## 1348 0.254
## 1349 0.264
## 1350 0.244
## 1351 0.242
## 1352 0.223
## 1353 0.244
## 1354 0.303
## 1355 0.219
## 1356 0.259
## 1357 0.186
## 1358 0.176
## 1359 0.190
## 1360 0.213
## 1361 0.224
## 1362 0.216
## 1363 0.219
## 1364 0.197
## 1365 0.232
## 1366 0.275
## 1367 0.420
## 1368 0.361
## 1369 0.354
## 1370 0.320
## 1371 0.330
## 1372 0.331
## 1373 0.398
## 1374 0.390
## 1375 0.319
## 1376 0.378
## 1377 0.338
## 1378 0.394
## 1379 0.380
## 1380 0.375
## 1381 NA
## 1382 0.378
## 1383 0.384
## 1384 0.311
## 1385 0.294
## 1386 0.358
## 1387 0.351
## 1388 0.332
## 1389 0.334
## 1390 0.351
## 1391 0.290
## 1392 0.341
## 1393 0.393
## 1394 0.341
## 1395 0.327
## 1396 0.282
## 1397 0.238
## 1398 0.246
## 1399 0.234
## 1400 0.224
## 1401 0.267
## 1402 0.242
## 1403 0.223
## 1404 0.240
## 1405 0.224
## 1406 0.203
## 1407 0.176
## 1408 0.168
## 1409 0.329
## 1410 0.333
## 1411 0.309
## 1412 0.265
## 1413 0.279
## 1414 0.370
## 1415 0.348
## 1416 0.358
## 1417 0.371
## 1418 0.326
## 1419 0.294
## 1420 0.318
## 1421 0.300
## 1422 0.383
## 1423 0.258
## 1424 NA
## 1425 0.328
## 1426 0.322
## 1427 NA
## 1428 0.346
## 1429 0.277
## 1430 0.270
## 1431 0.344
## 1432 0.294
## 1433 0.343
## 1434 0.329
## 1435 0.331
## 1436 0.312
## 1437 0.258
## 1438 0.231
## 1439 0.298
## 1440 0.244
## 1441 0.232
## 1442 0.193
## 1443 0.166
## 1444 0.169
## 1445 0.171
## 1446 0.165
## 1447 0.174
## 1448 0.180
## 1449 0.151
## 1450 0.130
## 1451 0.142
## 1452 0.195
## 1453 0.199
## 1454 0.200
## 1455 0.190
## 1456 0.189
## 1457 0.221
## 1458 0.112
## 1459 0.154
## 1460 0.132
## 1461 0.167
## 1462 0.134
## 1463 0.206
## 1464 0.285
## 1465 0.358
## 1466 0.308
## 1467 0.418
## 1468 0.243
## 1469 0.232
## 1470 0.202
## 1471 0.319
## 1472 0.297
## 1473 0.240
## 1474 0.225
## 1475 0.276
## 1476 0.313
## 1477 0.327
## 1478 0.266
## 1479 0.306
## 1480 0.288
## 1481 0.238
## 1482 0.251
## 1483 0.225
## 1484 0.199
## 1485 0.252
## 1486 0.228
## 1487 0.143
## 1488 0.180
## 1489 0.214
## 1490 0.165
## 1491 0.157
## 1492 0.208
## 1493 0.245
## 1494 0.291
## 1495 0.247
## 1496 0.332
## 1497 0.334
## 1498 0.435
## 1499 0.415
## 1500 0.410
## 1501 0.371
## 1502 0.403
## 1503 0.326
## 1504 0.303
## 1505 0.298
## 1506 0.326
## 1507 0.296
## 1508 0.242
## 1509 0.358
## 1510 0.381
## 1511 0.290
## 1512 0.370
## 1513 0.290
## 1514 0.300
## 1515 0.423
## 1516 0.334
## 1517 0.414
## 1518 0.456
## 1519 0.495
## 1520 0.466
## 1521 0.438
## 1522 0.267
## 1523 0.114
## 1524 0.256
## 1525 0.208
## 1526 0.131
## 1527 0.144
## 1528 0.148
## 1529 0.180
## 1530 0.142
## 1531 0.111
## 1532 0.179
## 1533 0.107
## 1534 0.138
## 1535 0.308
## 1536 0.277
## 1537 0.287
## 1538 0.302
## 1539 0.277
## 1540 0.267
## 1541 0.269
## 1542 0.232
## 1543 0.213
## 1544 0.253
## 1545 0.252
## 1546 0.274
## 1547 0.307
## 1548 0.303
## 1549 0.295
## 1550 0.285
## 1551 0.284
## 1552 0.274
## 1553 0.291
## 1554 0.261
## 1555 0.272
## 1556 0.286
## 1557 0.275
## 1558 0.228
## 1559 0.314
## 1560 0.207
## 1561 0.187
## 1562 0.193
## 1563 0.112
## 1564 0.083
## 1565 0.122
## 1566 0.152
## 1567 0.223
## 1568 0.210
## 1569 0.206
## 1570 0.231
## 1571 0.124
## 1572 0.230
## 1573 0.178
## 1574 0.167
## 1575 0.243
## 1576 0.161
## 1577 0.301
## 1578 0.268
## 1579 0.283
## 1580 0.268
## 1581 0.294
## 1582 0.338
## 1583 0.226
## 1584 0.239
## 1585 0.209
## 1586 0.130
## 1587 0.168
## 1588 0.206
## 1589 0.189
## 1590 0.283
## 1591 0.244
## 1592 0.233
## 1593 0.235
## 1594 0.217
## 1595 0.236
## 1596 0.247
## 1597 0.428
## 1598 0.450
## 1599 0.549
## 1600 0.517
## 1601 0.241
## 1602 0.264
## 1603 0.260
## 1604 0.336
## 1605 0.322
## 1606 0.356
## 1607 0.366
## 1608 0.372
## 1609 0.335
## 1610 0.285
## 1611 0.301
## 1612 0.302
## 1613 0.357
## 1614 0.316
## 1615 0.317
## 1616 0.216
## 1617 0.220
## 1618 0.153
## 1619 0.172
## 1620 0.163
## 1621 0.175
## 1622 0.197
## 1623 0.208
## 1624 0.187
## 1625 0.235
## 1626 0.270
## 1627 0.302
## 1628 0.315
## 1629 0.245
## 1630 0.221
## 1631 0.249
## 1632 0.242
## 1633 0.303
## 1634 0.250
## 1635 0.251
## 1636 0.252
## 1637 0.280
## 1638 0.151
## 1639 0.177
## 1640 0.134
## 1641 0.151
## 1642 0.200
## 1643 0.179
## 1644 0.170
## 1645 0.184
## 1646 0.208
## 1647 0.191
## 1648 0.201
## 1649 0.175
## 1650 0.161
## 1651 0.202
## 1652 0.222
## 1653 0.212
## 1654 0.202
## 1655 0.176
## 1656 0.189
## 1657 0.166
## 1658 0.206
## 1659 0.196
## 1660 0.192
## 1661 0.171
## 1662 0.193
## 1663 0.338
## 1664 0.292
## 1665 0.225
## 1666 0.496
## 1667 0.705
## 1668 0.622
## 1669 0.643
## 1670 0.094
## 1671 0.169
## 1672 0.136
## 1673 0.112
## 1674 0.140
## 1675 0.124
## 1676 0.108
## 1677 0.129
## 1678 0.108
## 1679 0.114
## 1680 0.093
## 1681 0.093
## 1682 0.083
## 1683 0.195
## 1684 0.133
## 1685 0.160
## 1686 0.203
## 1687 0.192
## 1688 0.166
## 1689 0.198
## 1690 0.170
## 1691 0.196
## 1692 0.196
## 1693 0.220
## 1694 0.278
## 1695 0.220
## 1696 0.178
## 1697 0.344
## 1698 0.209
## 1699 0.220
## 1700 0.178
## 1701 0.161
## 1702 0.146
## 1703 0.145
## 1704 0.195
## 1705 0.191
## 1706 0.241
## 1707 0.192
## 1708 0.246
## 1709 0.255
## 1710 0.221
## 1711 0.243
## 1712 0.271
## 1713 0.164
## 1714 0.180
## 1715 0.145
## 1716 0.166
## 1717 0.182
## 1718 0.117
## 1719 0.138
## 1720 0.141
## 1721 0.169
## 1722 0.174
## 1723 0.218
## 1724 0.232
## 1725 0.198
## 1726 0.208
## 1727 0.326
## 1728 0.348
## 1729 0.379
## 1730 0.395
## 1731 0.443
## 1732 0.416
## 1733 0.483
## 1734 0.426
## 1735 0.446
## 1736 0.444
## 1737 0.229
## 1738 0.184
## 1739 0.134
## 1740 0.286
## 1741 0.248
## 1742 NA
## 1743 0.249
## 1744 0.248
## 1745 0.327
## 1746 0.239
## 1747 0.321
## 1748 0.320
## 1749 0.378
## 1750 0.377
## 1751 0.365
## 1752 0.433
## 1753 0.439
## 1754 NA
## 1755 0.395
## 1756 0.345
## 1757 0.316
## 1758 0.327
## 1759 0.380
## 1760 0.335
## 1761 0.392
## 1762 0.377
## 1763 0.382
## 1764 0.390
## 1765 0.313
## 1766 0.351
## 1767 0.368
## 1768 0.440
## 1769 0.152
## 1770 0.122
## 1771 0.117
## 1772 0.160
## 1773 0.154
## 1774 0.301
## 1775 0.255
## 1776 0.350
## 1777 0.189
## 1778 0.183
## 1779 0.254
## 1780 0.228
## 1781 0.240
## 1782 0.296
## 1783 0.251
## 1784 0.254
## 1785 0.265
## 1786 0.346
## 1787 0.397
## 1788 0.353
## 1789 0.410
## 1790 0.400
## 1791 0.390
## 1792 0.385
## 1793 0.425
## 1794 0.249
## 1795 0.208
## 1796 0.186
## 1797 0.189
## 1798 0.227
## 1799 0.220
## 1800 0.193
## 1801 0.225
## 1802 0.249
## 1803 0.241
## 1804 0.220
## 1805 0.235
## 1806 0.222
## 1807 0.201
## 1808 0.285
## 1809 0.275
## 1810 0.287
## 1811 0.233
## 1812 0.216
## 1813 0.224
## 1814 0.291
## 1815 NA
## 1816 0.296
## 1817 0.245
## 1818 0.208
## 1819 0.302
## 1820 0.284
## 1821 0.298
## 1822 0.262
## 1823 0.241
## 1824 0.218
## 1825 0.231
## 1826 0.176
## 1827 0.174
## 1828 0.184
## 1829 0.252
## 1830 0.251
## 1831 0.219
## 1832 0.230
## 1833 0.210
## 1834 0.228
## 1835 0.251
## 1836 0.225
## 1837 0.261
## 1838 0.232
## 1839 0.227
## 1840 0.262
## 1841 0.231
## 1842 0.273
## 1843 0.260
## 1844 0.260
## 1845 0.281
## 1846 0.275
## 1847 0.264
## 1848 0.268
## 1849 0.292
## 1850 0.244
## 1851 0.295
## 1852 0.306
## 1853 0.274
## 1854 0.264
## 1855 0.255
## 1856 0.231
## 1857 0.252
## 1858 0.214
## 1859 0.253
## 1860 0.251
## 1861 0.300
## 1862 0.283
## 1863 0.280
## 1864 0.275
## 1865 0.222
## 1866 0.265
## 1867 0.195
## 1868 0.187
## 1869 0.159
## 1870 0.152
## 1871 0.123
## 1872 0.118
## 1873 0.130
## 1874 0.106
## 1875 0.103
## 1876 0.147
## 1877 0.203
## 1878 0.209
## 1879 0.220
## 1880 0.233
## 1881 0.178
## 1882 0.224
## 1883 0.180
## 1884 0.130
## 1885 0.199
## 1886 0.176
## 1887 0.238
## 1888 0.244
## 1889 0.223
## 1890 0.392
## 1891 0.363
## 1892 0.374
## 1893 0.351
## 1894 0.396
## 1895 0.204
## 1896 0.206
## 1897 0.218
## 1898 0.190
## 1899 0.216
## 1900 0.193
## 1901 0.221
## 1902 0.165
## 1903 0.241
## 1904 0.232
## 1905 0.223
## 1906 NA
## 1907 0.191
## 1908 0.186
## 1909 0.379
## 1910 0.374
## 1911 0.308
## 1912 0.285
## 1913 0.263
## 1914 0.266
## 1915 0.276
## 1916 0.321
## 1917 0.228
## 1918 0.295
## 1919 0.315
## 1920 0.213
## 1921 0.226
## 1922 0.246
## 1923 0.206
## 1924 0.123
## 1925 0.204
## 1926 0.250
## 1927 0.308
## 1928 0.327
## 1929 0.382
## 1930 0.372
## 1931 0.387
## 1932 0.351
## 1933 0.394
## 1934 0.345
## 1935 0.297
## 1936 0.265
## 1937 0.250
## 1938 0.218
## 1939 0.122
## 1940 0.211
## 1941 0.177
## 1942 0.182
## 1943 0.239
## 1944 0.179
## 1945 0.209
## 1946 0.224
## 1947 0.212
## 1948 0.235
## 1949 0.346head(select(df,year))## year
## 1 2008
## 2 2009
## 3 2010
## 4 2011
## 5 2012
## 6 2013head(select(df,ï..Country.name))## ï..Country.name
## 1 Afghanistan
## 2 Afghanistan
## 3 Afghanistan
## 4 Afghanistan
## 5 Afghanistan
## 6 Afghanistanhead(select(df, 1))## ï..Country.name
## 1 Afghanistan
## 2 Afghanistan
## 3 Afghanistan
## 4 Afghanistan
## 5 Afghanistan
## 6 Afghanistanselect(df, 5)## Social.support
## 1 0.451
## 2 0.552
## 3 0.539
## 4 0.521
## 5 0.521
## 6 0.484
## 7 0.526
## 8 0.529
## 9 0.559
## 10 0.491
## 11 0.508
## 12 0.420
## 13 0.821
## 14 0.833
## 15 0.733
## 16 0.759
## 17 0.785
## 18 0.759
## 19 0.626
## 20 0.639
## 21 0.638
## 22 0.638
## 23 0.684
## 24 0.686
## 25 0.710
## 26 NA
## 27 0.810
## 28 0.839
## 29 0.818
## 30 0.749
## 31 0.807
## 32 0.799
## 33 0.803
## 34 0.723
## 35 0.753
## 36 0.722
## 37 0.755
## 38 0.938
## 39 0.862
## 40 0.892
## 41 0.919
## 42 0.927
## 43 0.889
## 44 0.902
## 45 0.910
## 46 0.918
## 47 0.926
## 48 0.883
## 49 0.907
## 50 0.900
## 51 0.896
## 52 0.897
## 53 0.682
## 54 0.760
## 55 0.709
## 56 0.680
## 57 0.660
## 58 0.705
## 59 0.676
## 60 0.723
## 61 0.739
## 62 0.723
## 63 0.709
## 64 0.698
## 65 0.814
## 66 0.782
## 67 0.968
## 68 0.965
## 69 0.947
## 70 0.955
## 71 0.967
## 72 0.945
## 73 0.928
## 74 0.924
## 75 0.952
## 76 0.942
## 77 0.950
## 78 0.940
## 79 0.943
## 80 0.937
## 81 0.936
## 82 0.935
## 83 0.914
## 84 0.944
## 85 0.945
## 86 0.950
## 87 0.899
## 88 0.928
## 89 0.926
## 90 0.906
## 91 0.912
## 92 0.964
## 93 0.925
## 94 0.854
## 95 0.753
## 96 0.684
## 97 0.736
## 98 0.687
## 99 0.725
## 100 0.762
## 101 0.770
## 102 0.799
## 103 0.786
## 104 0.777
## 105 0.787
## 106 0.781
## 107 0.887
## 108 0.904
## 109 0.877
## 110 0.908
## 111 0.911
## 112 0.884
## 113 NA
## 114 0.853
## 115 0.863
## 116 0.876
## 117 0.878
## 118 0.848
## 119 0.672
## 120 0.514
## 121 0.467
## 122 0.528
## 123 0.549
## 124 0.606
## 125 0.582
## 126 0.530
## 127 0.577
## 128 0.601
## 129 0.649
## 130 0.713
## 131 0.706
## 132 0.673
## 133 0.739
## 134 0.918
## 135 0.858
## 136 0.904
## 137 0.908
## 138 0.918
## 139 0.910
## 140 0.902
## 141 0.923
## 142 0.880
## 143 0.924
## 144 0.927
## 145 0.900
## 146 0.905
## 147 0.917
## 148 0.935
## 149 0.922
## 150 0.923
## 151 0.931
## 152 0.937
## 153 0.927
## 154 0.909
## 155 0.944
## 156 0.885
## 157 0.929
## 158 0.922
## 159 0.930
## 160 0.884
## 161 0.904
## 162 0.872
## 163 0.757
## 164 0.445
## 165 0.382
## 166 0.477
## 167 0.523
## 168 0.577
## 169 0.506
## 170 0.434
## 171 0.493
## 172 0.436
## 173 0.504
## 174 0.442
## 175 0.507
## 176 0.819
## 177 0.880
## 178 0.848
## 179 0.834
## 180 0.796
## 181 0.785
## 182 0.831
## 183 0.807
## 184 0.817
## 185 0.781
## 186 0.803
## 187 0.821
## 188 0.829
## 189 0.796
## 190 0.779
## 191 0.827
## 192 0.784
## 193 0.805
## 194 0.766
## 195 0.735
## 196 0.773
## 197 0.725
## 198 0.779
## 199 0.767
## 200 0.788
## 201 0.656
## 202 0.808
## 203 0.775
## 204 0.836
## 205 0.873
## 206 0.899
## 207 0.883
## 208 0.832
## 209 0.866
## 210 0.860
## 211 0.837
## 212 0.856
## 213 0.859
## 214 0.816
## 215 0.768
## 216 0.768
## 217 0.795
## 218 0.774
## 219 0.883
## 220 0.886
## 221 0.878
## 222 0.913
## 223 0.906
## 224 0.916
## 225 0.890
## 226 0.910
## 227 0.898
## 228 0.907
## 229 0.912
## 230 0.905
## 231 0.882
## 232 0.899
## 233 0.831
## 234 0.832
## 235 0.843
## 236 0.860
## 237 0.838
## 238 0.829
## 239 0.886
## 240 0.908
## 241 0.926
## 242 0.942
## 243 0.924
## 244 0.948
## 245 0.916
## 246 0.796
## 247 0.771
## 248 0.727
## 249 0.773
## 250 0.710
## 251 0.744
## 252 0.745
## 253 0.742
## 254 0.705
## 255 0.764
## 256 0.785
## 257 0.665
## 258 0.683
## 259 0.291
## 260 0.326
## 261 0.422
## 262 0.565
## 263 0.485
## 264 0.793
## 265 0.675
## 266 0.619
## 267 0.818
## 268 0.697
## 269 0.716
## 270 0.606
## 271 0.651
## 272 0.693
## 273 0.729
## 274 0.746
## 275 0.765
## 276 0.795
## 277 0.759
## 278 0.724
## 279 0.690
## 280 0.717
## 281 0.697
## 282 0.729
## 283 0.759
## 284 0.738
## 285 0.743
## 286 0.760
## 287 0.778
## 288 0.646
## 289 0.659
## 290 0.695
## 291 0.677
## 292 0.711
## 293 0.720
## 294 0.962
## 295 NA
## 296 0.939
## 297 0.943
## 298 0.954
## 299 0.922
## 300 0.948
## 301 0.936
## 302 0.918
## 303 0.939
## 304 0.924
## 305 0.934
## 306 0.923
## 307 0.925
## 308 0.931
## 309 0.532
## 310 0.483
## 311 0.387
## 312 0.290
## 313 0.320
## 314 0.724
## 315 0.479
## 316 0.571
## 317 0.646
## 318 0.734
## 319 0.819
## 320 0.673
## 321 0.714
## 322 0.733
## 323 0.751
## 324 0.616
## 325 0.661
## 326 0.577
## 327 0.640
## 328 0.836
## 329 0.815
## 330 0.804
## 331 0.832
## 332 0.857
## 333 0.819
## 334 0.855
## 335 0.862
## 336 0.862
## 337 0.827
## 338 0.841
## 339 0.880
## 340 0.890
## 341 0.869
## 342 0.888
## 343 0.747
## 344 0.811
## 345 0.748
## 346 0.798
## 347 0.768
## 348 0.787
## 349 0.788
## 350 0.778
## 351 0.820
## 352 0.794
## 353 0.742
## 354 0.772
## 355 0.788
## 356 0.822
## 357 0.808
## 358 0.910
## 359 0.894
## 360 0.880
## 361 0.886
## 362 0.893
## 363 0.904
## 364 0.914
## 365 0.901
## 366 0.907
## 367 0.890
## 368 0.882
## 369 0.909
## 370 0.871
## 371 0.873
## 372 0.797
## 373 0.629
## 374 0.721
## 375 0.722
## 376 0.719
## 377 0.621
## 378 0.632
## 379 0.555
## 380 0.637
## 381 0.622
## 382 0.680
## 383 0.686
## 384 0.642
## 385 0.615
## 386 0.655
## 387 0.621
## 388 0.625
## 389 0.733
## 390 0.744
## 391 0.770
## 392 0.830
## 393 0.822
## 394 0.767
## 395 0.864
## 396 0.670
## 397 0.937
## 398 0.918
## 399 0.916
## 400 0.900
## 401 0.915
## 402 0.892
## 403 0.902
## 404 0.902
## 405 0.914
## 406 0.878
## 407 0.901
## 408 0.922
## 409 0.876
## 410 0.906
## 411 0.910
## 412 0.861
## 413 0.796
## 414 0.790
## 415 0.776
## 416 0.751
## 417 0.646
## 418 0.768
## 419 0.798
## 420 0.770
## 421 0.910
## 422 0.936
## 423 0.923
## 424 0.970
## 425 0.878
## 426 0.812
## 427 0.822
## 428 0.844
## 429 0.767
## 430 0.744
## 431 0.770
## 432 0.770
## 433 0.786
## 434 0.819
## 435 0.826
## 436 0.776
## 437 0.806
## 438 0.919
## 439 0.900
## 440 0.934
## 441 0.914
## 442 0.912
## 443 0.888
## 444 0.878
## 445 0.911
## 446 0.931
## 447 0.901
## 448 0.929
## 449 0.964
## 450 0.972
## 451 0.954
## 452 0.954
## 453 0.939
## 454 0.975
## 455 0.962
## 456 0.951
## 457 0.965
## 458 0.956
## 459 0.960
## 460 0.954
## 461 0.952
## 462 0.958
## 463 0.958
## 464 0.947
## 465 0.690
## 466 0.901
## 467 NA
## 468 0.633
## 469 0.919
## 470 0.848
## 471 0.850
## 472 0.878
## 473 0.860
## 474 0.872
## 475 0.879
## 476 0.878
## 477 0.891
## 478 0.893
## 479 0.895
## 480 0.894
## 481 0.862
## 482 0.884
## 483 0.806
## 484 0.910
## 485 0.839
## 486 0.829
## 487 0.779
## 488 0.839
## 489 0.818
## 490 0.785
## 491 0.801
## 492 0.831
## 493 0.856
## 494 0.842
## 495 0.849
## 496 0.851
## 497 0.808
## 498 0.804
## 499 0.848
## 500 0.686
## 501 0.738
## 502 0.744
## 503 0.769
## 504 0.753
## 505 0.737
## 506 0.675
## 507 0.619
## 508 0.730
## 509 0.809
## 510 0.638
## 511 0.759
## 512 0.772
## 513 0.673
## 514 0.878
## 515 0.717
## 516 0.747
## 517 0.734
## 518 0.757
## 519 0.731
## 520 0.806
## 521 0.827
## 522 0.798
## 523 0.791
## 524 0.794
## 525 0.829
## 526 0.820
## 527 0.764
## 528 0.696
## 529 0.910
## 530 0.896
## 531 0.904
## 532 0.874
## 533 0.909
## 534 0.889
## 535 0.901
## 536 0.917
## 537 0.918
## 538 0.938
## 539 0.936
## 540 0.933
## 541 0.934
## 542 0.958
## 543 0.659
## 544 0.602
## 545 0.640
## 546 0.626
## 547 0.719
## 548 0.734
## 549 0.740
## 550 0.748
## 551 0.823
## 552 0.965
## 553 0.951
## 554 0.935
## 555 0.938
## 556 0.928
## 557 0.941
## 558 0.952
## 559 0.948
## 560 0.954
## 561 0.964
## 562 0.962
## 563 0.937
## 564 0.962
## 565 0.940
## 566 0.944
## 567 0.935
## 568 0.918
## 569 0.943
## 570 0.921
## 571 0.937
## 572 0.908
## 573 0.878
## 574 0.896
## 575 0.885
## 576 0.931
## 577 0.921
## 578 0.958
## 579 0.947
## 580 0.653
## 581 0.736
## 582 0.733
## 583 0.829
## 584 0.756
## 585 0.780
## 586 0.807
## 587 0.785
## 588 0.763
## 589 0.697
## 590 0.685
## 591 0.694
## 592 0.647
## 593 0.548
## 594 0.608
## 595 0.544
## 596 0.540
## 597 0.503
## 598 0.533
## 599 0.559
## 600 0.558
## 601 0.517
## 602 0.533
## 603 0.590
## 604 0.617
## 605 0.675
## 606 0.718
## 607 0.963
## 608 0.926
## 609 0.923
## 610 0.935
## 611 0.939
## 612 0.947
## 613 0.926
## 614 0.931
## 615 0.938
## 616 0.926
## 617 0.906
## 618 0.892
## 619 0.920
## 620 0.886
## 621 0.905
## 622 0.728
## 623 0.730
## 624 0.622
## 625 0.633
## 626 0.739
## 627 0.724
## 628 0.685
## 629 0.676
## 630 0.651
## 631 0.687
## 632 0.647
## 633 0.669
## 634 0.761
## 635 0.746
## 636 0.643
## 637 0.837
## 638 0.808
## 639 0.793
## 640 0.868
## 641 0.852
## 642 0.812
## 643 0.687
## 644 0.832
## 645 0.835
## 646 0.803
## 647 0.753
## 648 0.794
## 649 0.891
## 650 0.779
## 651 0.830
## 652 0.866
## 653 0.866
## 654 0.834
## 655 0.859
## 656 0.768
## 657 0.802
## 658 0.830
## 659 0.834
## 660 0.823
## 661 0.811
## 662 0.826
## 663 0.841
## 664 0.774
## 665 0.598
## 666 0.542
## 667 0.567
## 668 0.638
## 669 0.579
## 670 0.675
## 671 0.634
## 672 0.630
## 673 0.655
## 674 0.849
## 675 0.694
## 676 0.679
## 677 0.554
## 678 0.567
## 679 0.749
## 680 0.648
## 681 0.554
## 682 0.564
## 683 0.584
## 684 0.647
## 685 0.538
## 686 0.933
## 687 0.819
## 688 0.828
## 689 0.824
## 690 0.803
## 691 0.766
## 692 0.779
## 693 0.792
## 694 0.790
## 695 0.772
## 696 0.774
## 697 0.843
## 698 0.827
## 699 0.797
## 700 0.812
## 701 0.840
## 702 0.835
## 703 0.857
## 704 0.846
## 705 0.826
## 706 0.834
## 707 0.832
## 708 0.831
## 709 0.856
## 710 0.813
## 711 0.930
## 712 0.931
## 713 0.901
## 714 0.896
## 715 0.894
## 716 0.906
## 717 0.877
## 718 0.845
## 719 0.859
## 720 0.900
## 721 0.877
## 722 0.941
## 723 0.947
## 724 0.943
## 725 0.977
## 726 0.979
## 727 0.967
## 728 0.980
## 729 0.985
## 730 0.967
## 731 0.982
## 732 0.983
## 733 0.707
## 734 0.569
## 735 0.684
## 736 0.653
## 737 0.605
## 738 0.553
## 739 0.511
## 740 0.553
## 741 0.621
## 742 0.610
## 743 0.614
## 744 0.607
## 745 0.638
## 746 0.561
## 747 0.617
## 748 0.771
## 749 0.704
## 750 0.675
## 751 0.779
## 752 0.816
## 753 0.825
## 754 0.834
## 755 0.794
## 756 0.905
## 757 0.809
## 758 0.792
## 759 0.796
## 760 0.809
## 761 0.802
## 762 0.766
## 763 0.718
## 764 0.633
## 765 0.582
## 766 0.600
## 767 0.664
## 768 0.644
## 769 0.572
## 770 0.566
## 771 0.714
## 772 0.674
## 773 0.698
## 774 0.757
## 775 0.744
## 776 0.862
## 777 0.854
## 778 0.751
## 779 0.730
## 780 0.728
## 781 0.725
## 782 0.684
## 783 0.719
## 784 0.695
## 785 0.764
## 786 0.708
## 787 0.967
## 788 0.983
## 789 0.959
## 790 0.973
## 791 0.977
## 792 0.962
## 793 0.955
## 794 0.968
## 795 0.953
## 796 0.958
## 797 0.943
## 798 0.938
## 799 0.944
## 800 0.960
## 801 0.927
## 802 0.868
## 803 0.859
## 804 0.937
## 805 0.882
## 806 0.893
## 807 0.903
## 808 0.909
## 809 0.889
## 810 0.864
## 811 0.890
## 812 0.916
## 813 0.910
## 814 0.946
## 815 0.959
## 816 0.928
## 817 0.912
## 818 0.880
## 819 0.880
## 820 0.872
## 821 0.913
## 822 0.869
## 823 0.916
## 824 0.898
## 825 0.909
## 826 0.927
## 827 0.920
## 828 0.913
## 829 0.838
## 830 0.890
## 831 0.667
## 832 0.709
## 833 0.711
## 834 0.704
## 835 0.617
## 836 0.661
## 837 0.621
## 838 0.679
## 839 0.613
## 840 0.909
## 841 0.855
## 842 0.865
## 843 0.874
## 844 0.913
## 845 0.878
## 846 0.928
## 847 0.938
## 848 0.887
## 849 0.888
## 850 0.902
## 851 0.917
## 852 0.905
## 853 0.924
## 854 0.900
## 855 0.923
## 856 0.900
## 857 0.882
## 858 0.886
## 859 0.878
## 860 0.887
## 861 0.920
## 862 0.841
## 863 0.766
## 864 0.899
## 865 0.918
## 866 0.878
## 867 0.829
## 868 0.840
## 869 0.816
## 870 0.830
## 871 0.820
## 872 0.815
## 873 0.800
## 874 0.793
## 875 0.709
## 876 0.872
## 877 0.861
## 878 0.839
## 879 0.893
## 880 0.904
## 881 0.905
## 882 0.892
## 883 0.889
## 884 0.795
## 885 0.931
## 886 0.928
## 887 0.914
## 888 0.937
## 889 0.951
## 890 0.966
## 891 0.909
## 892 0.841
## 893 0.827
## 894 0.789
## 895 0.805
## 896 0.846
## 897 0.831
## 898 0.825
## 899 0.765
## 900 0.777
## 901 0.706
## 902 0.715
## 903 0.707
## 904 0.676
## 905 0.674
## 906 0.848
## 907 0.884
## 908 0.830
## 909 0.708
## 910 0.759
## 911 0.757
## 912 0.721
## 913 0.706
## 914 0.805
## 915 0.824
## 916 0.792
## 917 0.822
## 918 0.843
## 919 0.792
## 920 0.919
## 921 0.926
## 922 0.893
## 923 0.882
## 924 0.889
## 925 0.862
## 926 NA
## 927 0.823
## 928 0.845
## 929 0.853
## 930 0.842
## 931 0.844
## 932 0.833
## 933 0.792
## 934 0.855
## 935 0.885
## 936 0.891
## 937 0.856
## 938 0.851
## 939 0.898
## 940 0.857
## 941 0.914
## 942 0.883
## 943 0.898
## 944 0.877
## 945 0.902
## 946 0.807
## 947 0.790
## 948 0.807
## 949 0.691
## 950 0.693
## 951 0.707
## 952 0.705
## 953 0.729
## 954 0.660
## 955 0.884
## 956 0.836
## 957 0.855
## 958 0.807
## 959 0.836
## 960 0.851
## 961 0.834
## 962 0.881
## 963 0.879
## 964 0.917
## 965 0.895
## 966 0.913
## 967 0.936
## 968 0.928
## 969 0.796
## 970 0.853
## 971 0.717
## 972 0.736
## 973 0.721
## 974 0.733
## 975 0.713
## 976 0.708
## 977 0.759
## 978 0.742
## 979 0.828
## 980 0.777
## 981 0.829
## 982 0.866
## 983 0.824
## 984 0.798
## 985 0.769
## 986 0.790
## 987 0.594
## 988 0.619
## 989 0.827
## 990 0.708
## 991 0.638
## 992 0.643
## 993 0.685
## 994 0.727
## 995 0.712
## 996 0.855
## 997 0.868
## 998 0.876
## 999 0.823
## 1000 0.824
## 1001 0.827
## 1002 0.930
## 1003 0.941
## 1004 0.914
## 1005 0.933
## 1006 0.882
## 1007 0.911
## 1008 0.919
## 1009 0.913
## 1010 0.908
## 1011 0.929
## 1012 0.938
## 1013 0.926
## 1014 0.929
## 1015 0.918
## 1016 0.953
## 1017 0.939
## 1018 0.952
## 1019 0.934
## 1020 0.914
## 1021 0.917
## 1022 0.875
## 1023 0.934
## 1024 0.941
## 1025 0.905
## 1026 0.902
## 1027 0.912
## 1028 0.711
## 1029 0.776
## 1030 0.818
## 1031 0.673
## 1032 0.673
## 1033 0.655
## 1034 0.647
## 1035 0.746
## 1036 0.626
## 1037 0.666
## 1038 0.701
## 1039 0.554
## 1040 0.600
## 1041 0.718
## 1042 0.613
## 1043 0.604
## 1044 0.563
## 1045 0.512
## 1046 0.494
## 1047 0.524
## 1048 0.555
## 1049 0.528
## 1050 0.549
## 1051 0.866
## 1052 0.871
## 1053 0.803
## 1054 0.792
## 1055 0.839
## 1056 0.770
## 1057 0.841
## 1058 0.831
## 1059 0.863
## 1060 0.818
## 1061 0.789
## 1062 0.842
## 1063 0.913
## 1064 0.761
## 1065 0.747
## 1066 0.733
## 1067 0.751
## 1068 0.796
## 1069 0.823
## 1070 0.820
## 1071 0.843
## 1072 0.830
## 1073 0.836
## 1074 0.741
## 1075 0.692
## 1076 0.755
## 1077 0.916
## 1078 0.908
## 1079 0.923
## 1080 0.922
## 1081 0.942
## 1082 0.941
## 1083 0.919
## 1084 0.930
## 1085 0.937
## 1086 0.932
## 1087 0.922
## 1088 0.938
## 1089 0.682
## 1090 0.670
## 1091 0.819
## 1092 0.857
## 1093 0.750
## 1094 0.763
## 1095 0.741
## 1096 0.853
## 1097 0.875
## 1098 0.785
## 1099 0.779
## 1100 0.802
## 1101 0.798
## 1102 0.800
## 1103 0.785
## 1104 0.836
## 1105 0.910
## 1106 0.909
## 1107 0.913
## 1108 0.893
## 1109 0.903
## 1110 0.879
## 1111 0.876
## 1112 0.868
## 1113 0.876
## 1114 0.824
## 1115 0.767
## 1116 0.759
## 1117 0.782
## 1118 0.761
## 1119 0.893
## 1120 0.800
## 1121 0.858
## 1122 0.852
## 1123 0.779
## 1124 0.812
## 1125 0.804
## 1126 0.872
## 1127 0.856
## 1128 0.847
## 1129 0.869
## 1130 0.826
## 1131 0.803
## 1132 0.805
## 1133 0.840
## 1134 0.837
## 1135 0.831
## 1136 0.892
## 1137 0.809
## 1138 0.874
## 1139 0.881
## 1140 0.920
## 1141 0.904
## 1142 0.948
## 1143 0.919
## 1144 0.935
## 1145 0.943
## 1146 0.906
## 1147 0.947
## 1148 0.924
## 1149 0.942
## 1150 0.946
## 1151 0.918
## 1152 0.832
## 1153 0.816
## 1154 0.805
## 1155 0.818
## 1156 0.704
## 1157 0.736
## 1158 0.863
## 1159 0.740
## 1160 0.866
## 1161 0.881
## 1162 0.856
## 1163 0.832
## 1164 0.887
## 1165 NA
## 1166 0.833
## 1167 0.676
## 1168 0.597
## 1169 0.606
## 1170 0.655
## 1171 0.641
## 1172 0.554
## 1173 0.535
## 1174 0.553
## 1175 0.879
## 1176 0.748
## 1177 0.756
## 1178 0.818
## 1179 0.666
## 1180 0.678
## 1181 0.738
## 1182 0.742
## 1183 0.612
## 1184 0.757
## 1185 0.774
## 1186 0.752
## 1187 0.793
## 1188 0.795
## 1189 0.774
## 1190 0.763
## 1191 0.796
## 1192 0.828
## 1193 0.763
## 1194 0.828
## 1195 0.864
## 1196 0.845
## 1197 0.741
## 1198 0.874
## 1199 0.787
## 1200 0.818
## 1201 0.813
## 1202 0.779
## 1203 0.741
## 1204 0.734
## 1205 0.740
## 1206 0.786
## 1207 0.748
## 1208 0.837
## 1209 0.816
## 1210 0.768
## 1211 0.772
## 1212 0.947
## 1213 0.944
## 1214 0.944
## 1215 0.957
## 1216 0.938
## 1217 0.939
## 1218 0.925
## 1219 0.909
## 1220 0.879
## 1221 0.926
## 1222 0.937
## 1223 0.939
## 1224 0.941
## 1225 0.944
## 1226 0.946
## 1227 0.967
## 1228 0.944
## 1229 0.976
## 1230 0.954
## 1231 0.930
## 1232 0.958
## 1233 0.942
## 1234 0.987
## 1235 0.937
## 1236 0.955
## 1237 0.954
## 1238 0.939
## 1239 0.952
## 1240 0.877
## 1241 0.866
## 1242 0.857
## 1243 0.835
## 1244 0.863
## 1245 0.800
## 1246 0.894
## 1247 0.868
## 1248 0.839
## 1249 0.827
## 1250 0.853
## 1251 0.838
## 1252 0.854
## 1253 0.874
## 1254 0.677
## 1255 0.726
## 1256 0.607
## 1257 0.771
## 1258 0.655
## 1259 0.818
## 1260 0.700
## 1261 0.696
## 1262 0.753
## 1263 0.713
## 1264 0.683
## 1265 0.582
## 1266 0.612
## 1267 0.677
## 1268 0.735
## 1269 0.718
## 1270 0.780
## 1271 0.722
## 1272 0.824
## 1273 0.818
## 1274 0.663
## 1275 0.812
## 1276 0.805
## 1277 0.733
## 1278 0.741
## 1279 0.734
## 1280 0.739
## 1281 0.871
## 1282 0.869
## 1283 0.802
## 1284 0.791
## 1285 0.808
## 1286 0.837
## 1287 0.803
## 1288 0.811
## 1289 0.734
## 1290 0.687
## 1291 0.784
## 1292 0.798
## 1293 0.832
## 1294 0.793
## 1295 0.766
## 1296 0.871
## 1297 0.800
## 1298 0.849
## 1299 0.815
## 1300 0.750
## 1301 0.959
## 1302 0.936
## 1303 0.948
## 1304 0.941
## 1305 0.947
## 1306 0.960
## 1307 0.950
## 1308 0.966
## 1309 0.942
## 1310 0.956
## 1311 NA
## 1312 0.591
## 1313 0.479
## 1314 0.373
## 1315 0.522
## 1316 0.571
## 1317 0.510
## 1318 0.542
## 1319 0.607
## 1320 0.552
## 1321 0.562
## 1322 0.627
## 1323 0.690
## 1324 0.685
## 1325 0.617
## 1326 0.818
## 1327 0.712
## 1328 0.666
## 1329 0.738
## 1330 0.822
## 1331 0.751
## 1332 0.782
## 1333 0.761
## 1334 0.775
## 1335 0.766
## 1336 0.818
## 1337 0.824
## 1338 0.819
## 1339 0.833
## 1340 0.951
## 1341 0.937
## 1342 0.922
## 1343 0.905
## 1344 0.928
## 1345 0.876
## 1346 0.897
## 1347 0.896
## 1348 0.873
## 1349 0.883
## 1350 0.882
## 1351 0.912
## 1352 0.904
## 1353 0.886
## 1354 0.895
## 1355 0.863
## 1356 0.889
## 1357 0.900
## 1358 0.889
## 1359 0.869
## 1360 0.931
## 1361 0.939
## 1362 0.959
## 1363 0.914
## 1364 0.940
## 1365 0.902
## 1366 0.892
## 1367 0.875
## 1368 0.756
## 1369 0.777
## 1370 0.799
## 1371 0.812
## 1372 0.756
## 1373 0.764
## 1374 0.797
## 1375 0.819
## 1376 0.798
## 1377 0.803
## 1378 0.830
## 1379 0.845
## 1380 0.809
## 1381 0.795
## 1382 0.801
## 1383 0.798
## 1384 0.775
## 1385 0.805
## 1386 0.789
## 1387 0.813
## 1388 0.846
## 1389 0.813
## 1390 0.854
## 1391 0.821
## 1392 0.851
## 1393 0.846
## 1394 0.845
## 1395 0.781
## 1396 0.922
## 1397 0.913
## 1398 0.917
## 1399 0.955
## 1400 0.905
## 1401 0.936
## 1402 0.912
## 1403 0.924
## 1404 0.893
## 1405 0.917
## 1406 0.882
## 1407 0.863
## 1408 0.878
## 1409 0.953
## 1410 0.905
## 1411 0.886
## 1412 0.864
## 1413 0.856
## 1414 0.866
## 1415 0.867
## 1416 0.862
## 1417 0.866
## 1418 0.905
## 1419 0.900
## 1420 0.887
## 1421 0.876
## 1422 0.875
## 1423 0.894
## 1424 NA
## 1425 0.857
## 1426 0.838
## 1427 NA
## 1428 0.838
## 1429 0.736
## 1430 0.812
## 1431 0.689
## 1432 0.753
## 1433 0.740
## 1434 0.778
## 1435 0.753
## 1436 0.787
## 1437 0.809
## 1438 0.811
## 1439 0.818
## 1440 0.842
## 1441 0.895
## 1442 0.885
## 1443 0.882
## 1444 0.908
## 1445 0.909
## 1446 0.883
## 1447 0.901
## 1448 0.881
## 1449 0.932
## 1450 0.924
## 1451 0.911
## 1452 0.896
## 1453 0.909
## 1454 0.910
## 1455 0.887
## 1456 0.718
## 1457 0.486
## 1458 0.559
## 1459 0.570
## 1460 0.637
## 1461 0.750
## 1462 0.748
## 1463 0.678
## 1464 0.665
## 1465 0.517
## 1466 0.616
## 1467 0.489
## 1468 0.868
## 1469 0.892
## 1470 0.823
## 1471 0.921
## 1472 0.880
## 1473 0.830
## 1474 0.867
## 1475 0.827
## 1476 0.818
## 1477 0.820
## 1478 0.890
## 1479 0.840
## 1480 0.868
## 1481 0.912
## 1482 0.890
## 1483 0.760
## 1484 0.718
## 1485 0.756
## 1486 0.810
## 1487 0.760
## 1488 0.602
## 1489 0.711
## 1490 0.823
## 1491 0.856
## 1492 0.702
## 1493 0.839
## 1494 0.744
## 1495 0.739
## 1496 0.688
## 1497 0.844
## 1498 0.770
## 1499 0.726
## 1500 0.773
## 1501 0.819
## 1502 0.828
## 1503 0.783
## 1504 0.816
## 1505 0.895
## 1506 0.884
## 1507 0.853
## 1508 0.903
## 1509 0.852
## 1510 0.561
## 1511 0.686
## 1512 0.591
## 1513 0.812
## 1514 0.782
## 1515 0.708
## 1516 0.869
## 1517 0.611
## 1518 0.657
## 1519 0.652
## 1520 0.650
## 1521 0.611
## 1522 0.904
## 1523 0.921
## 1524 0.845
## 1525 0.866
## 1526 0.864
## 1527 0.904
## 1528 0.808
## 1529 0.822
## 1530 0.866
## 1531 0.925
## 1532 0.897
## 1533 0.903
## 1534 0.925
## 1535 0.954
## 1536 0.920
## 1537 0.917
## 1538 0.926
## 1539 0.909
## 1540 0.924
## 1541 0.943
## 1542 0.945
## 1543 0.913
## 1544 0.922
## 1545 0.933
## 1546 0.954
## 1547 0.936
## 1548 0.919
## 1549 0.917
## 1550 0.931
## 1551 0.925
## 1552 0.932
## 1553 0.908
## 1554 0.901
## 1555 0.934
## 1556 0.928
## 1557 0.941
## 1558 0.949
## 1559 0.953
## 1560 0.611
## 1561 0.599
## 1562 0.594
## 1563 0.880
## 1564 0.829
## 1565 0.788
## 1566 0.786
## 1567 0.913
## 1568 0.788
## 1569 0.810
## 1570 0.877
## 1571 0.917
## 1572 0.858
## 1573 0.907
## 1574 0.839
## 1575 0.881
## 1576 0.898
## 1577 0.875
## 1578 0.870
## 1579 0.841
## 1580 0.848
## 1581 0.891
## 1582 0.775
## 1583 0.827
## 1584 0.754
## 1585 0.811
## 1586 0.816
## 1587 0.809
## 1588 0.775
## 1589 0.797
## 1590 0.738
## 1591 0.768
## 1592 0.811
## 1593 0.807
## 1594 0.798
## 1595 0.783
## 1596 0.808
## 1597 0.545
## 1598 0.585
## 1599 0.532
## 1600 0.557
## 1601 0.961
## 1602 0.957
## 1603 0.948
## 1604 0.929
## 1605 0.950
## 1606 0.944
## 1607 0.937
## 1608 0.929
## 1609 0.948
## 1610 0.956
## 1611 0.942
## 1612 0.903
## 1613 0.910
## 1614 0.949
## 1615 0.935
## 1616 0.864
## 1617 0.838
## 1618 0.816
## 1619 0.830
## 1620 0.814
## 1621 0.842
## 1622 0.824
## 1623 0.809
## 1624 0.805
## 1625 0.863
## 1626 0.823
## 1627 0.833
## 1628 0.815
## 1629 0.911
## 1630 0.855
## 1631 0.818
## 1632 0.813
## 1633 0.811
## 1634 0.797
## 1635 0.837
## 1636 0.779
## 1637 0.759
## 1638 0.951
## 1639 0.917
## 1640 0.923
## 1641 0.903
## 1642 0.970
## 1643 0.921
## 1644 0.929
## 1645 0.916
## 1646 0.933
## 1647 0.929
## 1648 0.912
## 1649 0.914
## 1650 0.931
## 1651 0.934
## 1652 0.936
## 1653 0.951
## 1654 0.938
## 1655 0.947
## 1656 0.959
## 1657 0.938
## 1658 0.928
## 1659 0.950
## 1660 0.930
## 1661 0.949
## 1662 0.946
## 1663 0.712
## 1664 0.842
## 1665 0.934
## 1666 0.576
## 1667 0.588
## 1668 0.585
## 1669 0.464
## 1670 0.882
## 1671 0.830
## 1672 0.831
## 1673 0.863
## 1674 0.825
## 1675 0.817
## 1676 0.870
## 1677 0.885
## 1678 0.895
## 1679 0.891
## 1680 0.896
## 1681 0.893
## 1682 0.901
## 1683 0.724
## 1684 0.727
## 1685 0.701
## 1686 0.676
## 1687 0.759
## 1688 0.751
## 1689 0.729
## 1690 0.701
## 1691 0.810
## 1692 0.844
## 1693 0.857
## 1694 0.663
## 1695 0.875
## 1696 0.880
## 1697 0.790
## 1698 0.783
## 1699 0.708
## 1700 0.774
## 1701 0.837
## 1702 0.813
## 1703 0.883
## 1704 0.832
## 1705 0.803
## 1706 0.789
## 1707 0.790
## 1708 0.638
## 1709 0.705
## 1710 0.675
## 1711 0.687
## 1712 0.740
## 1713 0.894
## 1714 0.889
## 1715 0.832
## 1716 0.893
## 1717 0.898
## 1718 0.884
## 1719 0.906
## 1720 0.926
## 1721 0.933
## 1722 0.866
## 1723 0.908
## 1724 0.877
## 1725 0.873
## 1726 0.903
## 1727 0.867
## 1728 0.435
## 1729 0.291
## 1730 0.303
## 1731 0.444
## 1732 0.479
## 1733 0.509
## 1734 0.508
## 1735 0.596
## 1736 0.539
## 1737 0.887
## 1738 0.858
## 1739 0.863
## 1740 0.883
## 1741 0.916
## 1742 NA
## 1743 0.863
## 1744 0.715
## 1745 0.614
## 1746 0.648
## 1747 0.680
## 1748 0.609
## 1749 0.702
## 1750 0.717
## 1751 0.733
## 1752 0.610
## 1753 0.719
## 1754 0.820
## 1755 0.792
## 1756 0.645
## 1757 0.755
## 1758 0.795
## 1759 0.692
## 1760 0.739
## 1761 0.795
## 1762 0.863
## 1763 0.851
## 1764 0.880
## 1765 0.876
## 1766 0.847
## 1767 0.792
## 1768 0.857
## 1769 0.924
## 1770 0.964
## 1771 0.946
## 1772 0.846
## 1773 0.909
## 1774 0.960
## 1775 0.929
## 1776 0.908
## 1777 0.984
## 1778 0.982
## 1779 0.760
## 1780 0.845
## 1781 0.813
## 1782 0.852
## 1783 0.830
## 1784 0.882
## 1785 0.885
## 1786 0.878
## 1787 0.821
## 1788 0.747
## 1789 0.754
## 1790 0.740
## 1791 0.740
## 1792 0.805
## 1793 0.800
## 1794 0.852
## 1795 0.820
## 1796 0.860
## 1797 0.845
## 1798 0.884
## 1799 0.859
## 1800 0.898
## 1801 0.897
## 1802 0.877
## 1803 0.909
## 1804 0.885
## 1805 0.858
## 1806 0.901
## 1807 0.883
## 1808 0.885
## 1809 0.903
## 1810 0.885
## 1811 0.912
## 1812 0.881
## 1813 0.856
## 1814 0.864
## 1815 NA
## 1816 0.824
## 1817 0.849
## 1818 0.836
## 1819 0.851
## 1820 0.862
## 1821 0.827
## 1822 0.979
## 1823 0.970
## 1824 0.954
## 1825 0.964
## 1826 0.955
## 1827 0.949
## 1828 0.935
## 1829 0.937
## 1830 0.910
## 1831 0.936
## 1832 0.954
## 1833 0.937
## 1834 0.928
## 1835 0.943
## 1836 0.929
## 1837 0.965
## 1838 NA
## 1839 0.953
## 1840 0.912
## 1841 0.926
## 1842 0.922
## 1843 0.903
## 1844 0.925
## 1845 0.902
## 1846 0.904
## 1847 0.897
## 1848 0.921
## 1849 0.904
## 1850 0.917
## 1851 0.937
## 1852 0.912
## 1853 0.875
## 1854 0.879
## 1855 0.924
## 1856 0.893
## 1857 0.891
## 1858 0.865
## 1859 0.917
## 1860 0.902
## 1861 0.891
## 1862 0.900
## 1863 0.914
## 1864 0.917
## 1865 0.933
## 1866 0.921
## 1867 0.903
## 1868 0.894
## 1869 0.905
## 1870 0.903
## 1871 0.924
## 1872 0.933
## 1873 0.963
## 1874 0.952
## 1875 0.968
## 1876 0.945
## 1877 0.942
## 1878 0.921
## 1879 0.915
## 1880 0.955
## 1881 0.946
## 1882 0.922
## 1883 0.945
## 1884 0.932
## 1885 0.931
## 1886 0.932
## 1887 0.896
## 1888 0.904
## 1889 0.911
## 1890 0.902
## 1891 0.896
## 1892 0.887
## 1893 0.888
## 1894 0.805
## 1895 0.888
## 1896 0.856
## 1897 0.805
## 1898 0.815
## 1899 0.787
## 1900 0.898
## 1901 0.775
## 1902 0.759
## 1903 0.792
## 1904 0.849
## 1905 0.876
## 1906 NA
## 1907 0.832
## 1908 0.848
## 1909 0.825
## 1910 0.756
## 1911 0.727
## 1912 0.663
## 1913 0.682
## 1914 0.694
## 1915 0.638
## 1916 0.669
## 1917 0.775
## 1918 0.790
## 1919 0.789
## 1920 0.870
## 1921 0.798
## 1922 0.688
## 1923 0.624
## 1924 0.782
## 1925 0.864
## 1926 0.780
## 1927 0.761
## 1928 0.706
## 1929 0.691
## 1930 0.767
## 1931 0.744
## 1932 0.718
## 1933 0.638
## 1934 0.767
## 1935 0.822
## 1936 0.828
## 1937 0.843
## 1938 0.806
## 1939 0.857
## 1940 0.865
## 1941 0.896
## 1942 0.799
## 1943 0.766
## 1944 0.736
## 1945 0.768
## 1946 0.754
## 1947 0.775
## 1948 0.759
## 1949 0.717head(mutate(df, "year", 2))## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 2 Afghanistan 2009 4.402 7.540 0.552
## 3 Afghanistan 2010 4.758 7.647 0.539
## 4 Afghanistan 2011 3.832 7.620 0.521
## 5 Afghanistan 2012 3.783 7.705 0.521
## 6 Afghanistan 2013 3.572 7.725 0.484
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 2 51.20 0.679 0.190
## 3 51.60 0.600 0.121
## 4 51.92 0.496 0.162
## 5 52.24 0.531 0.236
## 6 52.56 0.578 0.061
## Perceptions.of.corruption Positive.affect Negative.affect "year" 2
## 1 0.882 0.518 0.258 year 2
## 2 0.850 0.584 0.237 year 2
## 3 0.707 0.618 0.275 year 2
## 4 0.731 0.611 0.267 year 2
## 5 0.776 0.710 0.268 year 2
## 6 0.823 0.621 0.273 year 2head(mutate(df, "ï..Country.name", 2))## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## 1 Afghanistan 2008 3.724 7.370 0.451
## 2 Afghanistan 2009 4.402 7.540 0.552
## 3 Afghanistan 2010 4.758 7.647 0.539
## 4 Afghanistan 2011 3.832 7.620 0.521
## 5 Afghanistan 2012 3.783 7.705 0.521
## 6 Afghanistan 2013 3.572 7.725 0.484
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## 1 50.80 0.718 0.168
## 2 51.20 0.679 0.190
## 3 51.60 0.600 0.121
## 4 51.92 0.496 0.162
## 5 52.24 0.531 0.236
## 6 52.56 0.578 0.061
## Perceptions.of.corruption Positive.affect Negative.affect "ï..Country.name" 2
## 1 0.882 0.518 0.258 ï..Country.name 2
## 2 0.850 0.584 0.237 ï..Country.name 2
## 3 0.707 0.618 0.275 ï..Country.name 2
## 4 0.731 0.611 0.267 ï..Country.name 2
## 5 0.776 0.710 0.268 ï..Country.name 2
## 6 0.823 0.621 0.273 ï..Country.name 2head(group_by(df, year = as.factor(year)))## # A tibble: 6 x 11
## # Groups: year [6]
## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## <chr> <fct> <dbl> <dbl> <dbl>
## 1 Afghanistan 2008 3.72 7.37 0.451
## 2 Afghanistan 2009 4.40 7.54 0.552
## 3 Afghanistan 2010 4.76 7.65 0.539
## 4 Afghanistan 2011 3.83 7.62 0.521
## 5 Afghanistan 2012 3.78 7.70 0.521
## 6 Afghanistan 2013 3.57 7.72 0.484
## # ... with 6 more variables: Healthy.life.expectancy.at.birth <dbl>,
## # Freedom.to.make.life.choices <dbl>, Generosity <dbl>,
## # Perceptions.of.corruption <dbl>, Positive.affect <dbl>,
## # Negative.affect <dbl>head(group_by(df1, ï..Country.name = as.factor(ï..Country.name)))## # A tibble: 6 x 11
## # Groups: ï..Country.name [1]
## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## <fct> <int> <dbl> <dbl> <dbl>
## 1 Afghanistan 2008 3.72 7.37 0.451
## 2 Afghanistan 2009 4.40 7.54 0.552
## 3 Afghanistan 2010 4.76 7.65 0.539
## 4 Afghanistan 2011 3.83 7.62 0.521
## 5 Afghanistan 2012 3.78 7.70 0.521
## 6 Afghanistan 2013 3.57 7.72 0.484
## # ... with 6 more variables: Healthy.life.expectancy.at.birth <dbl>,
## # Freedom.to.make.life.choices <dbl>, Generosity <dbl>,
## # Perceptions.of.corruption <dbl>, Positive.affect <dbl>,
## # Negative.affect <dbl>df_matrix = data.matrix(df)
head((df_matrix))## ï..Country.name year Life.Ladder Log.GDP.per.capita Social.support
## [1,] 1 2008 3.724 7.370 0.451
## [2,] 1 2009 4.402 7.540 0.552
## [3,] 1 2010 4.758 7.647 0.539
## [4,] 1 2011 3.832 7.620 0.521
## [5,] 1 2012 3.783 7.705 0.521
## [6,] 1 2013 3.572 7.725 0.484
## Healthy.life.expectancy.at.birth Freedom.to.make.life.choices Generosity
## [1,] 50.80 0.718 0.168
## [2,] 51.20 0.679 0.190
## [3,] 51.60 0.600 0.121
## [4,] 51.92 0.496 0.162
## [5,] 52.24 0.531 0.236
## [6,] 52.56 0.578 0.061
## Perceptions.of.corruption Positive.affect Negative.affect
## [1,] 0.882 0.518 0.258
## [2,] 0.850 0.584 0.237
## [3,] 0.707 0.618 0.275
## [4,] 0.731 0.611 0.267
## [5,] 0.776 0.710 0.268
## [6,] 0.823 0.621 0.273nrow(df)## [1] 1949ncol(df)## [1] 11range(max(df$Life.Ladder)-min(df$Life.Ladder))## [1] 5.644 5.644quantile(df1$Log.GDP.per.capita,c(0.25, 0.5, 0.75))## 25% 50% 75%
## 8.397 9.443 10.335IQR(df1$Social.support)## [1] 0.158head(unclass(df1$Healthy.life.expectancy.at.birth))## [1] 50.80 51.20 51.60 51.92 52.24 52.56head(unclass(df$Positive.affect))## [1] 0.518 0.584 0.618 0.611 0.710 0.621inherits(df1$Life.Ladder,what = 'A',which=FALSE)## [1] FALSEinherits(df$year,what = 'A',which=FALSE)## [1] FALSEoldClass(df1$Life.Ladder)## NULLhead(diff(df1$Healthy.life.expectancy.at.birth))## [1] 0.40 0.40 0.32 0.32 0.32 0.32head(scale(df1$Generosity,scale=T))## [,1]
## [1,] 1.0595402
## [2,] 1.1983709
## [3,] 0.7629473
## [4,] 1.0216773
## [5,] 1.4886533
## [6,] 0.3843181head(scale(df1$Social.support,scale=T))## [,1]
## [1,] -2.631101
## [2,] -1.884914
## [3,] -1.980958
## [4,] -2.113942
## [5,] -2.113942
## [6,] -2.387297length(df1$year)## [1] 1949head(rep(df1$Life.Ladder))## [1] 3.724 4.402 4.758 3.832 3.783 3.572dim(df)## [1] 1949 11head(dexp(df1$Life.Ladder, rate = 1, log = FALSE))## [1] 0.024137226 0.012252810 0.008582758 0.021666240 0.022754326 0.028099598head(dexp(df1$Social.support, rate = 1, log = FALSE))## [1] 0.6369908 0.5757971 0.5833313 0.5939263 0.5939263 0.6163132head(pexp(df$Life.Ladder, rate = 1, lower.tail = TRUE, log.p = FALSE))## [1] 0.9758628 0.9877472 0.9914172 0.9783338 0.9772457 0.9719004head(rexp(df1$Log.GDP.per.capita))## [1] 0.47588845 1.49622509 0.03456547 0.09825457 1.43378174 0.40725358head(dgamma(df1$Log.GDP.per.capita, shape=1, rate = 1, log = FALSE))## [1] 0.0006298682 0.0005313976 0.0004774744 0.0004905418 0.0004505687
## [6] 0.0004416468head(pgamma(df1$Life.Ladder, shape=1, rate = 1, lower.tail = TRUE,log.p = FALSE))## [1] 0.9758628 0.9877472 0.9914172 0.9783338 0.9772457 0.9719004head(ppois(df1$Positive.affect, lambda=1, log = FALSE))## [1] 0.3678794 0.3678794 0.3678794 0.3678794 0.3678794 0.3678794head(qweibull(df1$Freedom.to.make.life.choices, shape=1, scale = 1, lower.tail = TRUE, log.p = FALSE))## [1] 1.2658482 1.1363142 0.9162907 0.6851790 0.7571525 0.8627500head(rcauchy(df1$Perceptions.of.corruption, location=1, scale=1))## [1] 0.2446285 1.3679843 0.9893536 3.2017506 1.5293174 -12.8794864head(dbeta(df1$Negative.affect, shape1=1, shape2=2, ncp = 1, log = FALSE))## [1] 1.296744 1.296280 1.296148 1.296539 1.296501 1.296264head(pt(df1$Perceptions.of.corruption, df=1, ncp=1, lower.tail = TRUE, log.p = FALSE))## [1] 0.3901749 0.3813072 0.3408092 0.3476811 0.3604982 0.3737599head(rf(df1$Positive.affect,df1=1,df2=1,ncp=1))## [1] 0.09630457 21.78583579 0.68570294 0.23153396 2.66161424 0.78210562help("rchisq")## starting httpd help server ... donehead(pbinom(df1$Life.Ladder, size=1, prob=.25, log = FALSE))## [1] 1 1 1 1 1 1head(rmultinom(df1$Social.support, size=1, prob=0.25))##
## [1,]head(pgeom(df1$Log.GDP.per.capita, prob=.25, lower.tail = TRUE, log.p = FALSE))## [1] 0.8998871 0.8998871 0.8998871 0.8998871 0.8998871 0.8998871head(phyper(df1$Freedom.to.make.life.choices, m=1, n=1, k=1, lower.tail = TRUE, log.p = FALSE))## [1] 0.5 0.5 0.5 0.5 0.5 0.5head(rlogis(df1$Life.Ladder, location=0, scale=1))## [1] 1.7907722 0.7472450 -1.2174288 0.6513483 -1.7588199 1.4414955head(rlnorm(df1$Social.support, meanlog=0, sdlog=1))## [1] 4.5915317 0.3204605 0.5998477 2.7751068 0.3904291 0.7598993head(rnbinom(df1$Generosity,size = 1,mu=1))## [1] 0 2 1 1 1 1head(punif(df1$Positive.affect, min = 0, max = 1, log = TRUE))## [1] -0.6577800 -0.5378543 -0.4812668 -0.4926583 -0.3424903 -0.4764242head(pwilcox(df1$Life.Ladder, m=1, n=1, log = FALSE))## [1] 1 1 1 1 1 1head(psignrank(df1$Negative.affect, n=1, lower.tail = TRUE, log.p = FALSE))## [1] 0.5 0.5 0.5 0.5 0.5 0.5library(ggplot2)library(dplyr)plot(temp$Positive.affect, temp$Negative.affect)
ggplot(temp, aes(x = temp$Positive.affect, y = temp$Negative.affect)) + geom_point()## Warning: Use of `temp$Positive.affect` is discouraged. Use `Positive.affect`
## instead.## Warning: Use of `temp$Negative.affect` is discouraged. Use `Negative.affect`
## instead.
plot(temp$Life.Ladder, type = 'l')
ggplot(temp, aes(x = Positive.affect, y = Negative.affect)) + geom_line()
ggplot(temp, aes(x = temp$Positive.affect, y = temp$Negative.affect)) + geom_col()## Warning: Use of `temp$Positive.affect` is discouraged. Use `Positive.affect`
## instead.
## Warning: Use of `temp$Negative.affect` is discouraged. Use `Negative.affect`
## instead.
ggplot(temp, aes(x = temp$Positive.affect)) + geom_histogram(binwidth = .001)## Warning: Use of `temp$Positive.affect` is discouraged. Use `Positive.affect`
## instead.
ggplot(temp, aes(x = temp$Positive.affect, y = temp$Negative.affect)) + geom_boxplot()## Warning: Use of `temp$Positive.affect` is discouraged. Use `Positive.affect`
## instead.
## Warning: Use of `temp$Negative.affect` is discouraged. Use `Negative.affect`
## instead.## Warning: Continuous x aesthetic -- did you forget aes(group=...)?
ggplot(temp, aes(x = Positive.affect, y = Negative.affect)) + geom_col(fill = "lightblue", colour = "black")
ggplot(df, aes(x = year, y = Positive.affect, fill = Negative.affect)) + geom_col(position = "dodge")## Warning: Removed 22 rows containing missing values (geom_col).
ggplot(df, aes(x = Positive.affect, y = year)) + geom_point()## Warning: Removed 22 rows containing missing values (geom_point).
ggplot(df, aes(x = Positive.affect, y = year)) +
geom_point(size = 3) + # Use a larger dot
theme_bw() +
theme(
panel.grid.major.x = element_blank(),
panel.grid.minor.x = element_blank(),
panel.grid.major.y = element_line(colour = "grey60", linetype = "dashed")
)## Warning: Removed 22 rows containing missing values (geom_point).
ggplot(df, aes(x = Positive.affect, y = year)) +
geom_segment(aes(yend = year), xend = 0, colour = "grey50") +
geom_point(size = 2) ## Warning: Removed 22 rows containing missing values (geom_segment).
## Warning: Removed 22 rows containing missing values (geom_point).
sample(df$Life.Ladder,size=4)## [1] 6.118 5.680 5.223 5.491sample(df$Life.Ladder,size=4,replace = TRUE)## [1] 7.594 5.280 5.890 7.164head(sample(df1$Life.Ladder[df1$Life.Ladder<5.0]))## [1] 4.141 3.435 4.896 4.785 3.946 4.704sample(df1$Life.Ladder[df1$Life.Ladder>40.0])## numeric(0)tt = df %>% group_by(df$year) %>% summary()
tt## \357..Country.name year Life.Ladder Log.GDP.per.capita
## Length:1949 Min. :2005 Min. :2.375 Min. : 6.635
## Class :character 1st Qu.:2010 1st Qu.:4.640 1st Qu.: 8.464
## Mode :character Median :2013 Median :5.386 Median : 9.460
## Mean :2013 Mean :5.467 Mean : 9.368
## 3rd Qu.:2017 3rd Qu.:6.283 3rd Qu.:10.353
## Max. :2020 Max. :8.019 Max. :11.648
## NA's :36
## Social.support Healthy.life.expectancy.at.birth Freedom.to.make.life.choices
## Min. :0.2900 Min. :32.30 Min. :0.2580
## 1st Qu.:0.7498 1st Qu.:58.69 1st Qu.:0.6470
## Median :0.8355 Median :65.20 Median :0.7630
## Mean :0.8126 Mean :63.36 Mean :0.7426
## 3rd Qu.:0.9050 3rd Qu.:68.59 3rd Qu.:0.8560
## Max. :0.9870 Max. :77.10 Max. :0.9850
## NA's :13 NA's :55 NA's :32
## Generosity Perceptions.of.corruption Positive.affect Negative.affect
## Min. :-0.3350 Min. :0.0350 Min. :0.3220 Min. :0.0830
## 1st Qu.:-0.1130 1st Qu.:0.6900 1st Qu.:0.6255 1st Qu.:0.2060
## Median :-0.0255 Median :0.8020 Median :0.7220 Median :0.2580
## Mean : 0.0001 Mean :0.7471 Mean :0.7100 Mean :0.2685
## 3rd Qu.: 0.0910 3rd Qu.:0.8720 3rd Qu.:0.7990 3rd Qu.:0.3200
## Max. : 0.6980 Max. :0.9830 Max. :0.9440 Max. :0.7050
## NA's :89 NA's :110 NA's :22 NA's :16
## df$year
## Min. :2005
## 1st Qu.:2010
## Median :2013
## Mean :2013
## 3rd Qu.:2017
## Max. :2020
##